Semester(s) in which the module is taught

The first semester

Person responsible for the Module

Lecturer:Xia Wenhua

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 135 hours

Contact hours = 72 hours

Self-study hours = 63 hours

Credit points

4.5

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Ability to master the idea of limits in advanced mathematics and to gain a deeper understanding of the basic theory and concepts of definite integral, indefinite integral, and univariate calculus. Be familiar with the definitions, properties, and algorithms of mathematical tools such as functions, derivatives, and integrals. Understand the Fundamental Theorem of Calculus, the Median Theorem, Lobeda's Law, the elemental method of definite integrals, and other important mathematical principles.

Skills:

Ability to apply knowledge of advanced mathematics to solve real-world problems, and to skillfully use mathematical tools such as derivatives, differentials, and integrals to perform operations and derivations. Ability to mathematically model engineering problems based on mathematical principles and solve them using calculus, spatial analytic geometry, and other methods.

Competences:

When faced with engineering problems related to mathematics, students are able to apply knowledge of advanced mathematics to analyze, model and solve the problems under given constraints. Be able to analyze and solve geometrical, physical and practical application problems by using the basic principles and methods of calculus, spatial analytic geometry and differential equations, and  have strong mathematical application and independent learning abilities.

Content

Lecture (72 contact hours, 63 self study hours)

Chapter 1 Functions and Limits (16 contact hours, 13 self study hours)

1) Concept of function, concept and properties of limits of functions, limits of series

2) Criteria for existence of limits, two important limits

3) Limit algorithm, concept of infinitesimals and infinity, comparison of infinitesimals

4) Definition and types of continuity and discontinuity points of functions

5) Operations on continuous functions and continuity of elementary functions

6) Properties of continuous functions on closed intervals

Chapter 2 Derivatives and Differentials (12 contact hours, 10 self-study hours)

1) The concept of derivative

2) Laws of derivation of functions

3) Higher order derivatives

4) Derivatives, associated rates of change of implicit functions and functions determined by parametric equations

5) Differentiation of functions and its applications

Chapter 3 Differential Median Theorem and Applications to Derivatives (18 contact hours, 16 self-study hours)

1) Differential Median Theorem, Taylor's Median Theorem

2) Lobida's law for finding limits

3) Monotonicity of functions, concavity and convexity of curves, extremes, inflection points and graphing of functions

4) Extreme values of functions, conditional extremes, maximum values

5) Arc differentiation and curvature

Chapter 4 Indefinite Integration (8 contact hours, 6 self-study hours)

1) Concepts, properties and basic formulas of the indefinite integral of elementary functions and indefinite integrals

2) Commutative integral method of indefinite integral

3) Integration by parts of indefinite integral

4) Integration of rational functions

Chapter 5 Definite Integration (10 contact hours, 10 self-study hours)

1) Concepts and properties of definite integrals

2) Basic formulas of calculus

3) Commutative and partial methods of integration of definite integrals

4) Anomalous integrals.

Chapter 6 Applications of the definite integral (8 contact hours, 8 self-study hours)

1) The elemental method of definite integrals

2) Applications of definite integrals in geometry

3) Applications of definite integrals in physics

Examination forms

Exam format: written examination

Grade composition: homework 22%, classroom interaction 18%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] The Department of Applied Mathematics at Tongji University, Advanced Mathematics (Volume 1) (8th edition), Higher Education Press, 2023

2. Reference books

[1] Li Jianping, Zhu Jianmin, Advanced Mathematics (Volume 1) (Second Edition), Higher Education , 2015.

[2] Yu Yahui, Wei Wei, Li Zhenping, Teaching Design for Civics in Advanced Mathematics Courses,, China Building Materials Industry Press, 2022.

[3] Wang Yinglong, Cao Maoyong, Designing Course Ideology and Politics in Our Way (Science and Engineering), Tsinghua University Press, 2020.

[4] Department of Applied Mathematics, Tongji University, A Complete Guide to Advanced Mathematics Exercises (Upper) (Seventh Edition), Higher Education Press, 2015.

[5] Sheng Xiangyao, Teaching and Learning Tutorials in Advanced Mathematics (Upper Volume) (3rd Edition), Tsinghua University Press, 2004..

[6] Wang Jinjin et al, New Study Guide for Advanced Mathematics (first volume), published by Xi'an University of Electronic Science and Technology, 2007.

[7] Zhu Youqing and He Caixing, Fifteen Lectures on Review of Advanced Mathematics (First Book), Shanghai Jiao Tong University Press, 1987.

[8] Wang Shousheng et al, Methods and Techniques of Calculus Problem Solving, Xi'an University of Technology Press, 2006.

3.Other learning resources

[1] Advanced Mathematics: https://mooc1-1.chaoxing.com/course/

206240764.html

[2] Chinese University MOOCs: https://www.icourse163.org/

[3] Love Course Network: https://www.icourses.cn

Semester(s) in which the module is taught

The second semester

Person responsible for the Module

Lecturer:Xia Wenhua

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 180 hours

Contact hours = 96 hours

Self-study hours = 84 hours

Credit points

6

Required and recommended prerequisites for joining the module

Advanced Mathematics A(1)

Module objectives/intended learning outcomes

Knowledge:

Knowledge of the idea of limits in advanced mathematics and in-depth understanding of the basic theory and concepts of multivariable functional calculus, spatial analytic geometry, ordinary differential equations, and infinite series. Familiarity with the definitions, properties, and algorithms of mathematical tools such as vectors, curvatures, and series.

Skills:

Ability to analyze and describe engineering problems by applying definitions, criteria, algorithms and properties in advanced mathematics. Ability to accurately translate engineering problems into mathematical problems and apply the knowledge of calculus, vectors, and spatial analytic geometry to solve them. Also, the ability to skillfully use these mathematical tools to perform disciplined mathematical derivations and calculations.

Competences:

When confronted with engineering problems and practical application problems, students are able to flexibly use their knowledge of calculus and other mathematics to build mathematical models. These models can accurately reflect the nature and law of the problem and provide strong mathematical support for problem solving. At the same time, students are able to use the mathematical knowledge and methods learned to carry out engineering practice-oriented work such as module design, functional unit implementation, and continuously optimize and improve the mathematical models in the process of problem solving.

Content

Lecture (96 contact hours, 84 self study hours)

Chapter 7 Ordinary Differential Equations (12 contact hours, 10 self-study hours)

1) Basic concepts of differential equations

2) Differential equations in separable variables, chi-square equations

3) First order linear differential equations

4) Reducible second order differential equations

5) Structure of solutions of second order linear differential equations

6) Second order constant coefficient chi-square (non-chi-square linear) linear differential equations

Chapter 8 Vector Algebra and Spatial Analytic Geometry (14 contact hours, 10 self-study hours)

1) Vectors and computation of vectors

2) Products of quantities and vector products

3) The plane and its equations

4) Commonly used quadratic surfaces and their equations

5) space curves and their equations

Chapter 9 Differential Methods for Multi-variable Functions and Their Applications (20 contact hours, 18 self-study hours)

1) Basic concepts of definition of multi-variable functions

2) Partial derivatives, full differentiation

3) Differentiation of multivariate composite functions

4) Derivatives of implicit functions

5) Geometrical applications of differentiation of multivariate functions

6) Directional derivatives and gradient

7) Extreme values of multivariate functions and their methods

Chapter 10 Dual Integration (14 contact hours, 12 self-study hours)

(1) Concepts and properties of double integrals

2) Calculation of double integrals

(3) Triple integrals

(4) Applications of double integrals

Chapter 11 Curve and surface integrals (18 contact hours, 16 self-study hours)

(1) Integration of curves with respect to arc lengths

(2) Integration of curves with respect to coordinates

(3) Green's formula and the condition that plane curve integrals are independent of paths

3) Integration of surfaces with respect to area

6) surface integrals to coordinates

7) Gauss formula

8) Stokes' formula

Chapter 12 Infinite series (18 contact hours, 18 self-study hours)

(1) Concept and properties of constant term series

2) Method of convergence of constant term series

(3) Power series

4) Expansion of functions into power series

5) Applications of power series expansions of functions

6) Fourier series

7) Fourier series of general periodic functions

Examination forms

Exam format: written examination

Grade composition: homework 22%, classroom interaction 18%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Compiled by the Department of Applied Mathematics at Tongji University, Advanced Mathematics (Volume 2) (8th edition), published by Higher Education Press, 2023

2. Reference books

[1] Li Jianping, Zhu Jianmin, Advanced Mathematics (Volume 1) (Second Edition), Higher Education , 2015.

[2] Yu Yahui, Wei Wei, Li Zhenping, Teaching Design for Civics in Advanced Mathematics Courses,, China Building Materials Industry Press, 2022.

[3] Wang Yinglong, Cao Maoyong, Designing Course Ideology and Politics in Our Way (Science and Engineering), Tsinghua University Press, 2020.

[4] Department of Applied Mathematics, Tongji University, A Complete Guide to Advanced Mathematics Exercises (Upper) (Seventh Edition), Higher Education Press, 2015.

[5] Sheng Xiangyao, Teaching and Learning Tutorials in Advanced Mathematics (Upper Volume) (3rd Edition), Tsinghua University Press, 2004..

[6] Wang Jinjin et al, New Study Guide for Advanced Mathematics (first volume), published by Xi'an University of Electronic Science and Technology, 2007.

[7] Zhu Youqing and He Caixing, Fifteen Lectures on Review of Advanced Mathematics (First Book), Shanghai Jiao Tong University Press, 1987.

[8] Wang Shousheng et al, Methods and Techniques of Calculus Problem Solving, Xi'an University of Technology Press, 2006.

3.Other learning resources

[1] Advanced Mathematics: https://mooc1-1.chaoxing.com/course/

206240764.html

[2] Chinese University MOOCs: https://www.icourse163.org/

[3] Love Course Network: https://www.icourses.cn

Semester(s) in which the module is taught

The second semester

Person responsible for the Module

Lecturer:Liu Lanchu

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 75 hours

Contact hours = 40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A(1), Advanced Mathematics A (2)

Module objectives/intended learning outcomes

Knowledge:

Mastery of basic linear algebra theory and understanding of core concepts and properties of systems of linear equations, matrices, determinants, vector spaces and linear transformations, eigenvalues and eigenvectors, and quadratic forms.

Skills:

Ability in linear algebra operations and proficiency in solving and analyzing problems using tools such as matrices and determinants.  

Competences:

When faced with engineering problems in the field of communications, students are able to use their knowledge of linear algebra to conduct rational modeling, analyze and solve related problems, demonstrating good abstract thinking, logical reasoning and problem solving skills.

Content

Lecture (40 contact hours, 35 self study hours)

Chapter 1 Determinant (8 contact hours, 6 self study hours)

1)Second and third order determinants, full permutations and their inverses

2)Definition of determinant of nth order, permutations, properties of determinants

3)Expansion of determinants by rows (columns)

4) Examples of applications of determinants.

Chapter 2 Matrix (14 contact hours, 13 self study hours)

1). Definition of matrix, Matrix operations

2) The inverse of a matrix, The partitioning of matrices

3) Elementary transformations of matrices and elementary matrices

4) Rank of Matrix and Application Cases

Chapter 3: Vectors and Linear Equations (12 contact hours, 10 self study hours)

1) Vector group and its linear combination

2) Linear correlation of vectors

3) Rank of vector group

4) The structure of solutions to linear systems of equations

Chapter 4 Similarity Matrix and Quadratic Form (6 contact hours, 6 self study hours)

1) Inner product, length, and orthogonality of vectors

2) Eigenvalues and eigenvectors of a square matrix

Examination forms

Examination form: written examination

Grade composition: homework 25%, classroom interaction 10%, topic discussion 5%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Department of High Mathematics, Hunan Engineering College, Linear Algebra (1st edition), Higher Education Press, 2021.

2. Reference books

[1] Linear Algebra. Mathematics Teaching and Research Office of Tongji University, Higher Education Press, 2014.

[2] Engineering Mathematics Problem Solving Methods and Synchronous Training (First Book), Basic Mathematics Teaching and Research Office, Tongji University, Tongji University Press, 1995.

[3] Linear Algebra, Jin Heng et al, Nankai University University Press, 2017.

[4] Linear Algebra and Applications. Liu Sanming, Nankai University Press, 2012.

3.Other learning resources

[1]  Linear Algebra: https://mooc1-1.chaoxing.com/course-ans/ps/

204349044

[2] Chinese University MOOCs: https://www.icourse163.org/

Semester(s) in which the module is taught

The fourth semester

Person responsible for the Module

Lecturer:Liu Lanchu

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 60 hours

Contact hours = 32 hours

Self-study hours = 28 hours

Credit points

2

Required and recommended prerequisites for joining the module

Advanced Mathematics A(1), Advanced Mathematics A (2)

Module objectives/intended learning outcomes

Knowledge:

Master the basic concepts, fundamental theory and computational methods of complex numbers and the complex plane, analytic functions, integrals of functions of a complex variable, Fourier transforms, and understand the principles of application of the theory of functions of a complex variable to engineering problems, as well as the core content of the relationship between the expanded complex plane and the complex sphere, the Cauchy-Riemann equation, the Cauchy-Gusset Theorem, and Cauchy's integral formulae.

Skills:

Possess computational skills related to the theory of functions of a complex variable, and the ability to perform operations on complex numbers, compute limits and derivatives of functions of a complex variable, solve complex integrals, and apply Fourier transforms based on the basic concepts and theory of the theory of functions of a complex variable..

Competences:

When faced with engineering problems related to communications, students are able to apply knowledge and methods of complex function theory to analyse, model and solve them.

Content

Lecture (32 contact hours, 28 self study hours)

Chapter 1 Complex Numbers and the Complex Plane (4 contact hours, 2 self-study hours)

1) Basics of complex numbers and the complex plane

(2) Sets of points in the complex plane and the complex sphere and infinity points

Chapter 2 Analytic Functions (8 contact hours, 8 self-study hours)

(1) Concepts of functions of a complex variable, limits and continuity

2) Concept of analytic function, derivability and analytic determination (Cauchy-Riemann equation)

3) Elementary functions

Chapter 3 Integration of functions of a complex variable (8 contact hours, 8 self-study hours)

(1) Definition and simple properties of complex integrals

(2) Cauchy-Goussard theorem and its extension

(3) Cauchy's integral formula and its corollaries

4) Relationship between analytic and harmonic functions

Chapter 4 Fourier Transform (8 contact hours, 6 self-study hours)

1) Definition of Fourier transform

(2) The unit impulse function and its Fourier transform

(3) Properties of the Fourier transform

Chapter 5 Laplace Transform (4 contact hours, 4 self-study hours)

1) Definition of Laplace transform

(2) Properties of the Laplace transform

(3) Applications of the Laplace transform

Examination forms

Examination form: written examination

Grade composition: homework 22%, classroom performance 18%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Ma, Berlin et al, editors, Functions of Complex Variables and Integral Transforms 3rd Edition. Fudan University Press, 2015.

2. Reference books

[1] Lu Qingle. Engineering Mathematics - Functions of Complex Variables (Fourth Edition). Higher Education Press, 1996.

[2] Wang Miansen. Study Guide and Exercises on Functions of Complex Variables. Higher Education Press, 2003.

[3] Li Hong and Xie Songfa, Functions of Complex Variables and Integral Transforms, Fourth Edition, Higher Education Press, 2013.

3.Other learning resources

[1] Chinese University MOOCs: https://www.icourse163.org/

Semester(s) in which the module is taught

The third semester

Person responsible for the Module

Lecturer:Wang Jianjun 

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 90 hours

Contact hours = 48 hours

Self-study hours = 42 hours

Credit points

3

Required and recommended prerequisites for joining the module

Advanced Mathematics A (1), Advanced Mathematics A (2), Linear Algebra

Module objectives/intended learning outcomes

Knowledge:

Understand the basic concepts, basic theories and basic methods of random events, random variables and statistical tests, and master the corresponding definitions, guidelines, algorithms and properties of probability theory and mathematical statistics.

Skills:

Ability to apply the basic concepts, basic theories and basic methods of probability theory and mathematical statistics to give solution ideas and appropriate solutions to engineering problems, and to build more complex mathematical models to solve engineering problems and practical applications..

Ability:

When faced with engineering problems related to communications, students are able to apply the knowledge of probability theory and mathematical statistics to analyse, model and solve, and complete practical engineering work such as problem solving, system design and optimization within the constraints of the given task objectives.

Content

Lecture (48 contact hours, 42 self study hours)

Chapter 1 Basic Concepts of Probability Theory (12 contact hours, 10 self study hours)

1) Random trial

2) Sample space

3) Classical conceptual framework

4) Conditional probability

5) Total probability formula

6) Bayesian formula

Chapter 2: Random Variables and Their Distribution (12 contact hours, 10 self study hours)

1) Random variable,

2) The distribution law of discrete random variables,

3) Density function of continuous random variables

4) The distribution function of a random variable.

Chapter 3 Multidimensional Random Variables and Their Distribution (14 contact hours, 12 self study hours)

1) Two-dimensional random variable,

2) Joint distribution function

3) Marginal distribution function

4) Joint density function

5) Edge density function

6) Independence of random variables

Chapter 4: Numerical Characteristics of Random Variables (10 contact hours, 10 self study hours)

1) Expectations and variances of random variables

2) Covariance and correlation coefficient of random variables

3) The correlation of random variables

Examination forms

Examination forms: written examination

Grade composition: homework 22%, classroom interaction 18%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] School of Mathematical Sciences, Tongji University, A Concise Course on Probability Statistics for Engineering Mathematics (3rd edition), Higher Education Press, 2021.

2. Reference books

[1] Probability Theory and Mathematical Statistics, Ganchang Wu, Renmin University of China Press, 2010.

[2] Probability Theory and Mathematical Statistics, Xuli Han, Hongwei Zhang, Fudan University Press, 2010.

[3] Probability Theory and Mathematical Statistics, Sheng Quyi, Higher Education Press, 2009.

Semester(s) in which the module is taught

The second semester

Person responsible for the Module

Lecturer:Deng Yonghe 

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 75 hours

Contact hours = 40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A (1)

Module objectives/intended learning outcomes

Knowledge:

Master the fundamentals of a college physics course, including the key elements of introductory theory, kinematics of plasmas, dynamics of plasmas, special relativity, mechanical vibration and mechanical waves, fundamentals of gas kinetic theory, and fundamentals of thermodynamics. Understand and be able to apply these physical principles to the formulation of complex engineering problems in the field of communications.  

Skills:

Ability to abstract and model complex engineering problems related to communications based on the basic principles of college physics, and to perform calculations and analyses to solve real-world problems in terms of experimental design and data analysis..

Competences:

When faced with communications-related engineering problems, students are able to flexibly apply theoretical knowledge of college physics to analyse, design and optimize systems.

Content

Lecture (40contact hours, 35 self study hours)

Chapter 1 Introduction, Particle Kinematics (4 contact hours, 3 self study hours)

1) The development process, research objects, research methods, and algebraic operations of vectors in physics

2) The four physical quantities of kinematics (vector, displacement, velocity, acceleration) and their differential relationships

3) The determination of natural coordinates, the relationship between angular and linear representations, and the relationship between tangential and normal acceleration and velocity changes

4) The relativity of object motion description and Galilean transformation

Chapter 2 Particle Dynamics (10 contact hours, 8 self study hours)

1) Newton's laws of motion, the application of Newton's second law, and the theorem of center of mass motion

2) The Three Great Theorems of Mechanics and Their Conservation Laws (Momentum Theorem and Momentum Conservation Law, Angular Momentum Theorem a1n5d Angular Momentum Conservation Law, Kinetic Energy Theorem and Functional Principle, and Mechanical Energy Conservation Law)

3) The inertia of a rigid body, the law of fixed axis rotation of a rigid body, the angular momentum theorem and conservation of fixed axis rotation of a rigid body, and the kinetic energy theorem of fixed axis rotation of a rigid body

Chapter 3: Special Relativity (6 contact hours, 6 self study hours)

1) The historical background of the birth of special relativity, the two basic principles of special relativity, and the spatiotemporal view of special relativity

2) The three relativistic effects of special relativity (relativity of simultaneity, time delay, and length contraction)

3) Lorentz transformation (coordinate transformation, velocity transformation)

4) Relativity dynamics (mass velocity relationship, momentum, kinetic energy, energy, energy momentum relationship).

Chapter 4 Mechanical Vibration and Mechanical Waves (10 contact hours, 8 self study hours)

1) Harmonic vibration equation, rotational vector representation of harmonic vibration, dynamic equation of harmonic vibration, energy of harmonic vibration,

2) Synthesis of harmonic vibrations (synthesis of vibrations with the same direction and frequency, synthesis of vibrations with different frequencies in the same direction, and beat phenomena),

3) The characteristics of damped vibration, the difference between forced vibration and undamped free vibration, and the conditions and characteristics of resonance

4) The propagation characteristics of plane harmonic waves and the method for establishing the wave function of plane harmonic waves

5) The energy characteristics, energy flow and energy flow density, sound intensity and sound intensity level of the medium element during the propagation of planar harmonic waves

6) Huygens' principle, coherence conditions of waves, interference characteristics of waves

7) The concept of standing waves, the characteristics of standing waves, the difference between standing waves and traveling waves, and the conditions for half wave loss

8) Doppler effect

Chapter 5 Fundamentals of Gas Dynamics Theory (4 contact hours, 4 self study hours)

1) Ideal gas molecule model, statistical laws of ideal gas molecule motion, equation of state for ideal gas, statistical significance of ideal gas pressure and temperature

2) The degrees of freedom of ideal gas molecules, the principle of equal distribution of energy according to degrees of freedom, and the internal energy of ideal gases

3) The significance of velocity distribution law and the application of Maxwell's velocity distribution function (calculation of most probable velocity, average velocity, and root mean square velocity)

4) Mean collision frequency and mean free range of ideal gas molecules

Chapter 6: Fundamentals of Thermodynamics (6 contact hours, 6 self study hours)

1) First law of thermodynamics (content, expression and scope of application), calculation of first law of thermodynamics (three equivalent processes, adiabatic process and arbitrary process)

2) Application of the first law of thermodynamics (cyclic processes, Carnot cycle, Otto cycle)

3)Directionality of thermodynamic processes, second law of thermodynamics, statistical significance of second law of thermodynamics

4)Clausius entropy, Boltzmann entropy, principle of entropy increase

Examination forms

Examination form: written examination

Grade composition: homework 8%, classroom interaction 19%, chapter testing 13%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] University Physics Teaching and Learning Centre of Hunan Engineering College, University Physics, Xiangtan University Press, 2019.

2. Reference books

[1] Zhang Sanhui,College Basic Physics Volume 1, Tsinghua University Press, 2003.

[2] Rao Ruichang, Shi Zhongtao, College Physics, Volumes 1, Higher Education Press, 2012 .

[3] Chen Shuguang, College Physics Volumes 1, Hunan University Press, 2010 .

[4] Physics Teaching and Research Office of Shanghai Jiao Tong University, College Physics Volume 1, Shanghai Jiao Tong University Press, 2006 .

[5] Xu Maichang, A Guide to Solving Problems in College Physics, Xiangtan University Press, 2015.

3. Other learning resources

[1] Zhu Hengzu, Physics 5000 years [M],, Hubei Science and Technology Press, 2018.

[2] Zhu Xiaoxiong, Wang Xianghui, Zhu Guangtian, Yin Yaling, 108 ‘Big Problems’ in Teaching Knowledge of College Physics [M], Tsinghua University Press, 2020.

[3] The Official Account of WeChat in The《Peoplesdaily》.

Semester(s) in which the module is taught

The third semester

Person responsible for the Module

Lecturer:Deng Yonghe 

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 90 hours

Contact hours = 48 hours

Self-study hours = 42 hours

Credit points

3

Required and recommended prerequisites for joining the module

Advanced Mathematics, College Physics

Module objectives/intended learning outcomes

Knowledge:

Master the fundamentals of the college physics curriculum, including the key elements of electrostatic fields, steady magnetic fields, electromagnetic fields, optics, and the fundamentals of quantum physics. Understand and be able to apply these physical principles to the formulation of complex engineering problems in the field of communications.

Skills:

Be proficient in applying basic theoretical knowledge of college physics to accurately describe and analyze complex engineering problems such as communication, computer, and information science, with certain physical modeling and computational abilities.

Competences:

Ability to abstract and model complex engineering problems in the field of communication engineering based on the fundamental principles and theories of college physics, and to apply scientific reasoning to propose solutions.

Content

Lecture (48 contact hours, 42 self study hours)

Chapter 7: Electrostatic Field (14 contact hours, 12 self study hours)

1) Coulomb's law, properties of electric fields, definition of electric field

strength, superposition principle of electric fields, calculation of electric field strength

2) The characteristics of electric field lines, the definition and calculation of electric flux, the content, expression, and application of Gauss's theorem

3) The conservatism of electrostatic fields, the definition and calculation of electric potential, the correspondence between electric potential energy and the work done by electric field forces in electrostatic fields, and the relationship between equipotential surfaces and electric field lines

4) The conditions for electrostatic balance, characteristics of electric potential and charge distribution, principles of electrostatic shielding, analysis and calculation of conductor electrostatic balance problems

5) Classification of dielectrics, electric dipole moment, polarization analysis of dielectrics, Gauss's theorem in dielectrics

6) Classification of capacitors, definition and calculation of capacitors, calculation of series an1d8 parallel capacitors, and energy stored in capacitors, The energy density of an electric field

Chapter 8 Stable magnetic field (8 contact hours, 6 self study hours)

1) The content, expression, and application of Biot Savart's law and calculation, Gauss's theorem for magnetic fields, and Ampere's loop theorem for magnetic fields,

2) Lorentz force, Ampere force, magnetic moment, magnetic torque

3) Classification of magnetic media, magnetization mechanism of magnetic media, Ampere's loop theorem in magnetic media, and characteristics of ferromagnetic materials

Chapter 9 Electromagnetic Fields (8 contact hours, 8 self study hours)

1) The conditions for generating current, classification of current, definition of current intensity, definition of current density, and definition of electromotive force of power supply,

2) Electromagnetic induction phenomenon, Faraday's law of electromagnetic induction, Lenz's law,

3) Dynamic electromotive force, induced electromotive force, vortex electric field,

4) Self induced electromotive force, mutual induced electromotive force,energy storage of inductive coils, and energy of magnetic fields

5) Displacement current, Maxwell's equations

6) The generation and properties of electromagnetic waves

Chapter 10 Optics (12 contact hours, 10 self study hours)

1) The basic laws of geometric optics, the imaging principle of thin lenses, and the imaging laws and characteristics of common vision aids

2) The coherence conditions of light, two methods for obtaining coherent light from ordinary light sources, the concept of optical path, and the relationship between the optical path difference and phase difference of coherent light

3) Device diagram of Yang's double slit interference, characteristics and analysis of interference fringes, and interference intensity curve diagram

4) The principle of thin film interference, analysis of optical path difference in thin film interference, application of thin film interference, experimental principle of Michelson interferometer

5) Classification of light diffraction, Huygens Fresnel principle, Fraunhofer single slit diffraction device diagram, diffraction fringe analysis, and characteristics of diffraction intensity distribution

6) Fraunhofer circular aperture diffraction and the resolution capability of optical instruments

7) Device diagram of grating diffraction, interference factor analysis of grating diffraction, diffraction factor analysis of grating diffraction, and missing order conditions of fringes

8)Polarization states of light and classification of polarized light, methods for obtaining polarized light, Marius' law, Brewster's angle law, birefringence phenomenon

Chapter 11 Fundamentals of Quantum Physics (6 contact hours, 6 self study hours)

1) Blackbody radiation, Planck's energy quantum hypothesis, wave particle duality of light

2) Hydrogen atomic spectroscopy, Bohr theory

3) Particle wave behavior, matter waves, probability density, Heisenberg uncertainty relationship, Schr ö dinger equation

4) Quantum description of hydrogen atoms (energy quantization, angular momentum quantization, angular momentum spatial orientation quantization, spin angular momentum spatial orientation quantization).

Examination forms

Examination form: written examination

Grade composition: homework 8%, classroom interaction 19%, chapter testing 13%, final exam 60%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] University Physics Teaching and Learning Centre of Hunan Engineering College, University Physics, Xiangtan University Press, 2019.

2. Reference books

[1] Zhang Sanhui,College Basic Physics Volume 2, Tsinghua University Press, 2003.

[2] Rao Ruichang, Shi Zhongtao, College Physics, Volumes 2, Higher Education Press, 2012 .

[3] Chen Shuguang, College Physics Volumes 2, Hunan University Press, 2010 .

[4] Physics Teaching and Research Office of Shanghai Jiao Tong University,College Physics Volume 2, Shanghai Jiao Tong University Press, 2006 .

[5] Xu Maichang, A Guide to Solving Problems in College Physics, Xiangtan University Press, 2015.

3. Other learning resources

[1] Zhu Hengzu, Physics 5000 years [M],, Hubei Science and Technology Press, 2018.

[2] Zhu Xiaoxiong, Wang Xianghui, Zhu Guangtian, Yin Yaling, 108 ‘Big Problems’ in Teaching Knowledge of College Physics [M], Tsinghua University Press, 2020.

[3] The Official Account of WeChat in The《Peoplesdaily》.

Semester(s) in which the module is taught

The second semester

Person responsible for the Module

Lecturer:Deng Yonghe 

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Practice

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

Advanced Mathematics A (1), Advanced Mathematics A (2), College Physics (1) ,College Physics (2)

Module objectives/intended learning outcomes

Knowledge:

Master the basic knowledge of physics experiment, the basic training of physics experiment, the basic technique training of physics experiment and the ability training of design experiment. Master the basic knowledge of physics experiment, the principle and method of measuring some basic physical quantities, and the principle of some basic experiment instruments.

Skills:

Be able to master the skills of physical experimentation, be able to use the instruments and equipment required for experiment research, to master the ideas and methods of experiment science, be able to construct an experiment system according to the requirements of the experiment, to carry out the experiment in a safe manner and to record and analyse the data, and to verify the results of the experiment.

Competences:

Ability to construct an experiment system based on an experiment programme, to carry out experiments safely and collect data correctly, to carry out independently a comprehensive designed experiment research competences, and to solve problems in the discipline and engineering by physical methods.

Content

Experiment (16 contact hours, 14 self-study hours)

Experiment 1: Introduction (2 contact hours, 1 self-study hours)

Experiment 2: Basic measurements (2 contact hours, 1 self-study hours)

Experiment 3: Young's modulus of metal wires by tensile method (2 contact hours, 2 self-study hours)

Experiment 4: Use of a multi-meter (2 contact hours, 2 self-study hours)

Experiment 5: Measurement of the rotational inertia of a rigid body (2 contact hours, 2 self-study hours)

Experiment 6: Adjustment and use of oscilloscope (2 contact hours, 2 self-study hours)

Experiment 7: Voltammetric Characteristics of Resistors (2 contact hours, 2 self-study hours)

Experiment 8: Measurement of the focal length of a thin lens (2 contact hours, 2 self-study hours)

Examination forms

Examination form: comprehensive assessment

Composition of the grade: 40% for pre-study of experiment, 40% for experiment operations and 20% for experiment reports.

Study and examination requirements

Complete all required experiments and submit experiment reports.

The comprehensive score is above the passing grade.

Reading list and resource

1. Textbooks

[1] Edited by Physics Experiment Centre of Hunan Engineering College, University Physics Experiment Tutorial (1st ed.), Beijing University of Posts and Telecommunications Press, 2019.

2. Reference books

[1] Y. C. Li, University Physics Experiment, Self-edited experiment Textbook, Beijing University of Posts and Telecommunications Press, 2006.

[2] Ding Shenxun, ed., Tutorial on Physics Experiments, Tsinghua University Press, 2004.

[3] Zhu Hongxiong, Wang Xianghui, Zhu Guangtian, Yin Yaling, 108 "Big Problems" in Teaching Knowledge of University Physics, Tsinghua University Press, 2020.

3. Other learning resources

[1] University physics experiment: https://www.icourse163.org

/course/NUDT-1001673004?from=searchPage&outVendor=zw_mooc_pcssjg_

Semester(s) in which the module is taught

The third semester

Person responsible for the Module

Lecturer:Hong Yanpeng

Course teacher

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Practice

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours =14 hours

Credit points

1

Required and recommended prerequisites for joining the module

Advanced Mathematics , College Physics  

Module objectives/intended learning outcomes

Knowledge:

Master the basic knowledge of physics experiment, the basic training of physics experiment, the basic technique training of physics experiment and the competences training of design experiment. Master the basic knowledge of physics experiment, the principle and method of measuring some basic physical quantities, and the principle of some basic experiment instruments.

Skills:

Be able to master the skills of physical experimentation, be able to use the instrumentation required for experiment research. Master the ideas and methods of experiment science, be able to construct an experiment system according to the requirements of the experiment, to carry out the experiment in a safe manner and to record and analyse the data, and to verify the results of the experiment.

Competences:

Be able to construct an experiment system based on an experiment programme, to carry out experiments safely and collect data correctly, to carry out independently a comprehensive designed experiment research competences, and to solve problems in the discipline and engineering by physical methods.

Content

Experiment (16 contact hours, 14 self-study hours)

Experiment title1: Sound speed measurement (2 contact hours, 1 self-study hours)

Experiment 2: Study of the forward voltage drop of a PN junction as a function of temperature (2 contact hours, 1 self-study hours)

Experiment 3: Modification and calibration of electric meters (2 contact hours, 2 self-study hours)

Experiment 4: Measuring magnetic fields using the Hall effect (2 contact hours, 2 self-study hours)

Experiment 5: Hysteresis loops and fundamental magnetisation curves of ferromagnetic materials (2 contact hours, 2 self-study hours)

Experiment 6: Simulation of electrostatic fields with a steady current field (2 contact hours, 2 self-study hours)

Experiment 7: Spectrometer measurement of the top angle of a prism (2 contact hours, 2 self-study hours)

Experiment 8: Study of Newton's ring interference phenomena (2 contact hours,2 self-study hours)

Examination forms

Examination form: comprehensive assessment

Composition of the grade: 40% for pre-study of experiment, 40% for experiment operations and 20% for experiment reports.

Study and examination requirements

Complete all required experiments and submit experiment reports.

The comprehensive score is above the passing grade.

Reading list and resource

1.Textbooks

[1] Edited by Physics Experiment Centre of Hunan Engineering College, University Physics Experiment Tutorial (1st ed.), Beijing University of Posts and Telecommunications Press, 2019.

2. Reference books

[1] Y. C. Li, University Physics Experiment, Self-edited experiment Textbook, Beijing University of Posts and Telecommunications Press, 2006.

[2] Ding Shenxun, ed., Tutorial on Physics Experiments, Tsinghua University Press, 2004.

[3] Wang Xianghui, Zhu Guangtian, Yin Yaling, 108 "Big Problems" in Teaching Knowledge of University Physics, Tsinghua University Press, 2020.

3. Other learning resources

[1]University  physics  experiment:

https://www.icourse163.org/course/NUDT-1001673004?from=searchPage&outVendor=zw_mooc_pcssjg_

Semester(s) in which the module is taught

The first and second semester

Person responsible for the Module

Lecturer:Huang Yongcun , Hu Lin

Course teacher

Language

English & Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 150 hours

Contact hours = 80 hours

Self-study hours = 70 hours

Credit points

3+2

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Master the English phonological system, accurately grasp the semantics, collocations and usage of vocabulary, and be familiar with grammatical rules and chapter structure. Master a vocabulary of about 2,000 words from high school, of which 400 are professional or work-related, and learn about the cultural and social background of common English topics, master a solid foundation of knowledge for the use of the language.

Skills:

Be proficient in the use of English phonetics with standard pronunciation and natural intonation. Ability to use vocabulary accurately and flexibly, use grammar correctly, and construct logical and clear chapters. Be able to understand the content of daily communication and materials of moderate difficulty, have fluent oral communication on familiar topics, read and understand texts on common topics, write basic written content, and process information with the help of tools. 

Competences:

Ability to carry out basic conversations and communication in daily life, study and work, and to cope with the communication needs of common scenarios. Be able to make use of online learning platforms, English communication communities and other resources to continuously strengthen their listening, speaking, reading and writing skills, and flexibly adjust learning strategies, so as to realize the steady improvement of comprehensive English literacy. Through communication and interaction with others and participation in online courses and activities, students are able to continue to strengthen their comprehensive English utilization skills.

Content

Lecture: English (1)

Unit 1 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 1: The Pursuit of Dreams

2) Audiovisual Speaking Tutorial 1: Traces of the Past

Unit 2 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 1: Freshman Year

2) Audiovisual Speaking Tutorial 1: A Break for Fun (Leisure Activity)

Unit 3 (4 contact hours, 3 self study hours)

Audiovisual Speaking Tutorial 1: Life Moments

Unit 4 (4 contact hours, 3 self study hours)

Audiovisual Speaking Tutorial 1: Getting from A to B (from one place to another)

Unit 5 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 1: The Water Problem

2) Audiovisual Speaking Tutorial 1: Relax and Explore

Unit 6 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 1: Going Offline

2) Audiovisual Speaking Tutorial 1: Wit and Fit (Wisdom and Health)

English (2)

Unit 1 (10 contact hours, 9 self study hours)

1)Comprehensive Tutorial 2:Living Green

2) Audiovisual Speaking Tutorial 2:Life is a Learning Curve

Unit 2 (2 contact hours, 9 self study hours)

Audiovisual Teaching Tutorial 2: Journey into the Unknown

Unit 3 (10 contact hours, 3 self study hours)

1) Comprehensive Tutorial 2: Friendship2)Audio Visual Speaking Tutorial 2 Time Out

2) Audiovisual Speaking Tutorial 2: Time Out

Unit 4 (10 contact hours, 3 self study hours)

1) Comprehensive Tutorial 2: Study Abroad

2) Audiovisual Speaking Tutorial 2:Life Under the Spotlight

Examination forms

Examination form: written examination

Grade composition: 20% homework, 10% topic discussion,10% in class interaction, 60% final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1]Li Yinhua, New Version of Advanced College English Comprehensive Course 1,Shanghai Foreign Language Education Press, 2023.

[2]Zheng Shutang, New Horizon College English Audio Visual Speaking Course 1(Third Edition), Foreign Language Teaching and Research Press, 2023.

2. Reference books

[1] Li Yinhua, Teacher's Handbook for the New Version of Advanced College English Comprehensive Course 1,Shanghai Foreign Language Teaching Press, 2023.

[2] Zheng Shutang, New Horizon College English Audio Visual Speaking Course 1,Teacher's Book, Foreign Language Teaching and Research Press,2023.

[3] Chen Jie and Mao Meilan, A New Version of College English Comprehensive Lesson and Practice(Second Edition)(Volume l), Shanghai Foreign Language Education Press,2023.

[4]Xu Jun, New Century New College English Quick Reading(Volume 1), Shanghai Jiao Tong University Press, 2023.

3.Other learning resources

[1] We Learn Learning Platform

Semester(s) in which the module is taught

The third and fourth semester

Person responsible for the Module

Lecturer:Huang Yongcun , Hu Lin

Course teacher

Language

English & Chinese

Relation to curriculum

Compulsory

Teaching methods

Lecture

Workload

Total workload = 180 hours

Contact hours =96 hours

Self-study hours = 84 hours

Credit points

3+3

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Ability to expand their vocabulary and learn the rules of English grammar in depth. Ability to accurately differentiate between various types of grammatical structures, different tenses, types of clauses, etc., and understand the principles of grammar in different contexts. Through in-depth analysis of vocabulary usage and sentence structure, ability to master the rules of the language and achieve the effect of learning by example.

Skills:

Ability to accurately analyze the nuances of English speech, to use a rich vocabulary for precise meaning, and to flexibly master complex grammar to construct a variety of sentence patterns. In listening, reading and writing, the students are able to capture key information in complex speech streams, express themselves fluently and logically in speaking, analyze the meaning of the text in depth in reading, process information of medium language difficulty, understand the main ideas and important details, and express themselves in a basic way.

Competences:

Ability to use a limited number of learning strategies. When interacting with people from different cultures, ability to observe the differences in culture and values between them and apply a limited number of communicative strategies according to communicative needs. Possess strong intercultural communication skills and international perspective. When communicating with people from different cultures, students are able to observe the differences in culture and values between them, and are able to use limited communication strategies according to communication needs.

Content

Lecture English (3)

Unit 1 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 3: Working Holiday Abroad

2) Audiovisual Speaking Tutorial 3: Access to Success

Unit 2 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 3: Consumption (Conspicuous Consumption)

2) Audiovisual Speaking Tutorial 3:Emotions Speak Louder than Words (Emotions speak louder than words)

Unit 3 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 3: Cultural Differences

2) Audiovisual Speaking Tutorial 3: Love Your Neighbor

Unit 4 (10 contact hours, 9 self study hours)

1)Comprehensive Tutorial 3: Emerging Adulthood (Entering Adults)

2) Audiovisual Speaking Tutorial 3: What's the big idea? What is a whimsical idea

Unit 5 (4 contact hours, 3 self study hours)

Audiovisual Speaking Tutorial 3: More Than a Paycheck (More Than Just a Salary)

Unit 6 (4 contact hours, 3 self study hours)

Audiovisual Speaking Tutorial 3: Histories Make Men Wise (Reading History Makes People Wise)

English (4)

Unit 1 (10 contact hours, 9 self study hours)

1)Comprehensive Tutorial 4: Ocean Exploration

2)Audiovisual Speaking Tutorial 4: How We Behave Is Who We Are(Behavior is our nature)

Unit 2 (10 contact hours,9 self study hours)

1) Comprehensive Tutorial 4: China in Transition

2) Audiovisual Speaking Tutorial 4: Getting Old, Getting Wise? (The older you get, the smarter you get?)

Unit 3 (10 contact hours, 9 self study hours)

1) Comprehensive Tutorial 4: Job Hunting

2)Audiovisual Speaking Tutorial 4: Discovering Your Niche Holiday

Unit 4(4 contact hours, 3 self study hours)

Audiovisual Speaking Tutorial 4: Solving Problems& Seeking Happiness

Unit 5 (10 contact hours, 9 self study hours)

1)Comprehensive Tutorial 4: Cyber Language

2)Audiovisual Speaking Tutorial 4: Art expansions horizons

Unit 6 (4 contact hours, 3 self study hours)

1)Audiovisual Speaking Tutorial 4: Mass media: 24/7 coverage(Mass media: 24/7 coverage)

Examination forms

Examination form: written examination

Grade composition: 20% homework,10% topic discussion,10% in class interaction, 60% final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1]Li Yinhua, New Version of Advanced College English Comprehensive Course 1,Shanghai Foreign Language Education Press, 2023.

[2]Zheng Shutang, New Horizon College English Audio Visual Speaking Course 1(Third Edition), Foreign Language Teaching and Research Press, 2023.

2. Reference books

[1] Li Yinhua, Teacher's Handbook for the New Version of Advanced College English Comprehensive Course 1,Shanghai Foreign Language Teaching Press, 2023.

[2] Zheng Shutang, New Horizon College English Audio Visual Speaking Course 1,Teacher's Book, Foreign Language Teaching and Research Press,2023.

[3] Chen Jie and Mao Meilan, A New Version of College English Comprehensive Lesson and Practice(Second Edition)(Volume l), Shanghai Foreign Language Education Press,2023.

[4]Xu Jun, New Century New College English Quick Reading(Volume 1), Shanghai Jiao Tong University Press, 2023.

3.Other learning resources

[1] We Learn Learning Platform

Semester(s) in which the module is taught

The second semester

Person responsible for the Module

Lecturer :Huang Yongcun , Hu Lin ,Li Xia ,Yang Yuan

Course teacher

Language

English & Chinese

Relation to curriculum

Compulsory

Teaching methods

Practice

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Ability to translate into English Chinese passages with familiar topics and low linguistic difficulty. The content of the passages relates to Chinese culture, history and social development. The translation expresses the meaning of the original text in a generally accurate way, with smooth sentences and appropriate syntax and diction. Ability to use basic translation strategies to translate a passage of 140-160 Chinese characters into English within half an hour. Ability to use basic listening strategies to aid comprehension and listen to material at a rate of 120-140 words per minute.

Skills:

Be able to have short but multi - word conversations in English on familiar topics, give simple narratives or descriptions of general events and phenomena, and make short prepared statements on familiar topics. Be capable of describing simple charts and drawings, expressing personal opinions on familiar topics, writing common application essays, and conducting short discussions, explanations, and interpretations based on prompt information such as outlines, charts, or drawings.

Competences:

Ability to read at a rate of 70 words per minute for close reading and 100 words per minute for fast reading, to speak more clearly, with basic correctness of voice, intonation and grammar. Ability to use basic oral expression and communication strategies.

Content

Lecture(16contact hours, 14 self-study hours).

1.Pre-test (3 contact hours, 2 self study hours)

Choose test materials that reflect the current comprehensive English proficiency of students from various majors

2.Professional Skill Training(10 contact hours，4self study hours)

Listening skills training: 1.)Prediction 2) Capturing key information

3)Grasping the main idea.

Reading skills training: 1)Theme judgment 2)Author attitude 3)Inference of word meaning based on context.

Writing skills training: 1)Style, 2)Structure,3)Sentence patterns,4)Vocabulary.

Translation skills training: 1) Sentence structure 2)Long and difficult sentences 3)Accumulation of cultural vocabulary

3.Post-test (3 contact hours, 8 self study hours)

1)Compare the effectiveness of practical activities based on skills, using methods such as paper scores, formative assessments, and learning reports.

Examination forms

Examination form: Adopting a combination of process assessment pre-test, and post test for comprehensive evaluation

Grade composition: pre-test and post-test scores 50%, process assessment score 50%

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above the passing grade.

Reading list and resource

1.Textbooks

[1] Edited by Physics Experiment Centre of Hunan Engineering College, University Physics Experiment Tutorial (1st ed.), Beijing University of Posts and Telecommunications Press, 2019.

2. Reference books

[1] Y. C. Li, University Physics Experiment, Self-edited experiment Textbook, Beijing University of Posts and Telecommunications Press, 2006.

[2] Ding Shenxun, ed., Tutorial on Physics Experiments, Tsinghua University Press, 2004.

[3] Wang Xianghui, Zhu Guangtian, Yin Yaling, 108 "Big Problems" in Teaching Knowledge of University Physics, Tsinghua University Press, 2020.

3. Other learning resources

[1]University  physics  experiment:

https://www.icourse163.org/course/NUDT-1001673004?from=searchPage&outVendor=zw_mooc_pcssjg_

Semester(s) in which the

module is taught

The first semester and the second semester

Person responsible for the

Module

Professor: Li Zhenhui

Course teacher

Professor: Li Zhenhui

Associate Professor: Qiao Huidong

Associate Professor: Zeng Saifeng

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with flipped classrooms and experiments

Workload

Total workload = 135 + 135 hours

Contact hours = 48 + 48 hours

Self-study hours = 87 + 87 hours

Credit points

4.5+4.5

Required and recommended prerequisites for joining the module

Circuit Analysis, Analog Electronic Technology, Digital Electronic Technology

Module objectives/intended learning outcomes

Knowledge:

Understand the working principle of computers, be familiar with the methods of using computers to deal with problems, and master the basic syntax, program structure and programming thinking of C language. Master the code design methods of sequence, selection, and loop structures, master the function design and invocation methods, and master the basic data structures such as arrays, pointers, and structures.

Skill:

Master DEVC++ or other commonly used C language programming integrated development environment. Be proficient in designing, writing, debugging and running C language programs. Be able to abstract practical problems into program models that can be processed by computers, and use the knowledge they have learned to write code to solve problems.

Competences:

For engineering problems, students can use computational thinking and programming thinking to express and model them. They can focus on specific problems, decompose the problems in a top-down, step by step refinement, and modular way. Moreover, they can design or develop modules, algorithms, and components that meet specific requirements and constraints in terms of functionality and performance according to specific needs.

Content

Lecture (64 contact hours, 142 self-study hours).

Introduction to Computing Chapter 1&2 (4 contact hours, 4 self-study hours)

1) The history and law of computer development

2) The basic structure and principles of computers

3) The computer applies the concept of number system and the characteristics of data of different number systems to convert between different number systems.

Chapter 1 :Programming and C (2 contact hours, 2 self-study hours)

1) What is a computer program

2) What is a computer language

3) The development of the C language and its characteristics

4) The simplest C program

5) Steps and methods to run C program

6) Programming tasks

Chapter 2: Algorithms – The Soul of the Program (2 contact hours, 2 self-study hours)

Chapter3:The Simplest C Programming Language Design- Sequential Programming (6 contact hours, 12 self-study hours).

1) Examples of sequential programming

2) The presentation of the data and its operation

3) Operators and expressions

4) C statement

5) Input and output of data

Chapter 4 : Selecting Structural Programming (6 contact hours, 12 self-study hours).

1) Selection of structure and condition judgment

2) Implement the selection structure with an if statement

3) Relational Operators and Relational Expressions

4) Logical operators and logical expressions

5) Conditional operators and conditional expressions

6) Select the nesting of the structure

7) Use the switch statement to implement the multi-branch selection structure

8) Select a comprehensive example of a structural program

Chapter 5 :Circular Structure Programming (6 contact hours, 18 self-study hours)

1) Why do you need cycle control

2) Implement loops with while statements

3) Use while statement

4) Implement the loop with the for statement

5) Nesting of loops

6) Comparison of several cycles  

7) Change the state of loop execution

8) Example of a round-robin program

Chapter 6 : Modular Programming with Functions (6 contact hours, 20 self-study hours).

1) Why use functions

2) How to define a function

3) Call the function

4) Declarations and function prototypes of the called function

5) Nested calls of functions

6) Recursive calls of functions

7) Local variables and global variables

8) How variables are stored and how long they are lived

9) Declarations and definitions of variables

10) Inner and outer functions

Chapter 7 :Processing Batch Data with Arrays (14 contact hours, 32 self-study hours).

1) How to define and reference one-dimensional arrays

2) How to define and reference a two-dimensional array

3) Array of characters

4) Arrays as function parameters

Chapter 8 :Good Use of Pointers (8 contact hours, 20 self-study hours).

1) What is a pointer

2) Pointer variables

3) Refer to the array by a pointer

4) Refer to a string by a pointer

5) A pointer to a function

6) A function that returns the pointer value

7) Pointer arrays and multi-pointers

8) Dynamic memory allocation with pointer variables pointing to it

Chapter 9 : User-defined data types (8 contact hours, 22 self-study hours).

1) Define and use struct variables

2) Use struct arrays

3) Struct pointers

4) Process linked lists with pointers

5) Type of common body

6) Use enumeration types

7) Declare the new type name with typedef

Chapter 10 : Input/Output of Files (2 contact hours, 4 self-study hours).

1) Basic knowledge of document C

2) Open and close the file

3) Sequential reading and writing of data files

4) Read the data file randomly

Experiment (32 contact hours, 32 self-study hours).

Experiment: Sequential Structure Programming

(2 contact hours, 2 self-study hours)

Experiment: Input and output of C program data

(2 contact hours, 2 self-study hours)

Experiment: If Selection Structure Programming

(2 contact hours, 2 self-study hours)

Experiment: If /switch selection structure programming

(2 contact hours, 2 self-study hours)

Experiment: Programming of Cyclic Structures

(2 contact hours, 2 self-study hours)

Experiment: Comprehensive Design of Branching and Circular Structure Programs(2 contact hours, 2 self-study hours)

Experiment : Definition of Functions and Function Calls

(2 contact hours, 2 self-study hours)

Experiment: Comprehensive Application of Functions

(2 contact hours, 2 self-study hours)

Experiment: Array 1(2 contact hours, 2 self-study hours)

Experiment: Array 2(2 contact hours, 2 self-study hours)

Experiment: Pointer 1(2 contact hours, 2 self-study hours)

Experiment: Pointer 2(2 contact hours, 2 self-study hours)

Experiment: Pointer 3(2 contact hours, 2 self-study hours)

Experiment: Structure 1(2 contact hours, 2 self-study hours)

Experiment: Structure 2(2 contact hours, 2 self-study hours)

Experiment: Linked lists(2 contact hours, 2 self-study hours)

Examination forms

Examination form: computer-based examination

Composition of grade: 16% for quizzes, 12% for homework, 12% for experiment, and 60% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

2. Textbooks

[1] Tan Haoqiang, ed., C Programming Language Design [M], Tsinghua University Press, 2017.

2. Reference books

[1] Brian, C Programming Language Design Language (2nd Edition) [M], China Machine Press, 2022.

[2] K.N. King, Modern Methods of C Language Programming (2nd Edition), People's Posts and Telecommunications Press, 2021.

3. Other learning resources

[1] PTA Online Platform

Semester(s) in which the

module is taught

The seventh semester

Person responsible for the

Module

Professor: Tang Zhihang

Course teacher

Professor: Tang Zhihang

Lecturer: Peng Deyi

Lecturer: Wu Linjun

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with flipped classrooms

Workload

Total workload = 30hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Master the methods and skills of literature retrieval, literature reading and thesis writing, master the methods and formats of literature review writing, and master the completion methods of graduation thesis from topic selection to defense.

Skill:

Be able to search for various types of literature and write literature reviews. Master the method of topic selection for graduation thesis, the method of writing the proposal report, and the correct use and annotation of various literature.

Competences:

Be able to clarify and strictly abide by academic ethics, respect and rationally learn from and absorb the research results of predecessors, be able to find gaps or supplements in related fields through studying literature, and be able to independently establish research ideas and build a framework of research ideas. Be proficient in leveraging internet technologies such as data analysis, AI tools to effectively solve problems, turning theoretical insights into practical applications.

Content

Lecture (16contact hours, 14 self-study hours)

Chapter 1 : Introduction(2 contact hours, 2 self-study hours)

1) Literature retrieval and retrieval strategies

2) An overview of commonly used literature types and search tools

Chapter 2 :Proficient In Literature Search Tools（2 contact hours, 2 self-study hours）

1) CNKI

2) Wanfang database

Chapter 3: Mastering Literature Search Tools (2 contact hours, 2self-study hours）

1) EI/SCI search

2) Dissertation retrieval

Chapter 4: Introduction to Innovation (2 contact hours, 2 self-study hours ).

1) Literature research

2) Patent drafting

Chapter 5 :Proficient in Literature Management and Analysis (4 contact hours, 3self-study hours ).

1）EndNote

2) Overview of literature analysis tools

Chapter 6 :Introduction to Scientific Paper Writing (4 contact hours, 3 self-study hours).

1) Review paper writing

2) Dissertation writing

Examination forms

Examination form: comprehensive

Composition of grade: 50% for homework, 50% for course report

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

1.Textbooks

[1] Ji Jiuming, ed., A Guide to Literature Retrieval and Knowledge Discovery, East China University of Science and Technology Press, 2018

3. Reference books

[1] Wang Liangchao and Gao Li, eds., . Literature Retrieval and Utilization Tutorial", Chemistry and Chemical Engineering Press, 2018.

4. Other learning resources

[1] Chaoxing Learning Platform

Semester(s) in which the

module is taught

The fifth semester

Person responsible for the

Module

Associate Professor: Zeng Saifeng

Course teacher

Associate Professor: Zeng Saifeng

Associate Professor: Qiao Huidong

Professor: Li Zhenhui

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with flipped classrooms and experiments

Workload

Total workload = 75 hours

Contact hours = 40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

C Programming Language

Module objectives/intended learning outcomes

Knowledge:

Master the syntax rules of C++. Understand the definition of object-oriented data structures and grasp the characteristics of the Object-Oriented Programming (OOP) approach. Comprehend the fundamental elements and design frameworks in OOP, including abstraction, encapsulation, inheritance, and polymorphism.

Skill:

Ability in object-oriented program development. Be able to carry out standardized code development by applying object-oriented programming techniques such as class abstraction, encapsulation, and polymorphism.

Competences:

Under the constraints of a given task objective, students can design code to complete engineering practice tasks such as problem-solving, module design, and functional unit implementation. Moreover, they can use various object-oriented methods like inheritance and polymorphism to optimize the code.

Content

Lecture (30 contact hours, 25 self-study hours)

Chapter 1: C++ Programming Basics (4 contact hours, 4 self-study hours)

1) The development and main features of C++

2) The first C++ program and the C++ program development process

3) Common new features of C++ in the non-object-oriented direction

Chapter 2 :Classes and Objects (10 contact hours, 7 self-study hours)

1) Development from structure to class

2) Object-Oriented Programming B techniques

3) Declarations of C++ classes and definitions of objects

4) Constructor

5) Destructors

6) The general order of execution of constructors and destructors

7) Protect data with const

8) Youyuan

9) Static members

10) this pointer

Chapter 3 :Templates (2 contact hours, 2 self-study hours )

1) The concept of templates

2) Function templates and template functions

3) Class templates and template classes

Chapter 4 :Operator Overloading (4 contact hours, 4 self-study hours)

1) The concept of operator overloading

2) Operator overloading mode

3) Typical operator overloading

Chapter 5: Inheritance (6 contact hours, 4 self-study hours)

1) Inheritance and derivation

2) Inheritance method

3) Constructors and destructors of derived classes

4) Multiple inheritance and virtual base classes

Chapter 6: Polymorphism (4 contact hours, 4 self-study hours)

1) The concept of polymorphism

2) Virtual functions

3) Pure virtual functions and abstract classes

Experiment (10 contact hours, 10 self-study hours).

Experiment: Classes and Objects (1) (2 contact hours, 2 self-study hours)

Experiment: Classes and Objects (2) (2 contact hours, 2 self-study hours)

Experiment: Operator Overloading (2 contact hours, 2 self-study hours)

Experiment: Inheritance and Derivation of Classes (2 contact hours, 2 self-study hours)

Experiment: Runtime Polymorphism and Abstract Classes (2 contact hours, 2 self-study hours)

Examination forms

Examination form: computer-based examination

Composition of grade: 10% for classroom performance, 10% for homework, 30% for experiment, and 50% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] You Hongyue, Editor-in-Chief, C++ Object-Oriented Programming B Tutorial, Tsinghua University Press, 2016.

2. Reference books

[1] Guo Youqiang, Visual C++ Object-Oriented Programming B Tutorial Experiment Guidance and Exercise Collection, People's Posts and Telecommunications Press, 2019.

3. Other learning resources

[1] PTA Online Lab Test System

Semester(s) in which the

module is taught

The first semester

Person responsible for the

Module

Professor: Zhang Xizheng

Course teacher

Professor: Zhang Xizheng

Associate Professor: Hu Ying

Associate Professor: Zeng Saifeng

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with Problem-Based Learning and case studies

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

None

Module objectives/intended learning outcomes

Knowledge:

Master the basic concepts, discipline nature, development history, application fields and development prospects of information and communication engineering; Understand the training objectives, teaching arrangements and learning methods of communication engineering; Understand the basic knowledge and technological development in the fields of mobile communications, integrated circuits, computing architecture, memory, image acquisition and processing, human-computer interaction, Internet and mobile networks. Understand the roles played by other disciplines such as materials, physics, and mathematics in the development and application of communication technologies, and be aware of the latest advancements in these basic disciplines that may have an impact on the future development trends of communication technologies.

Skill:

Ability to obtain information through multiple channels and conduct literature research; Master the tools of information retrieval at home and abroad, in Chinese and English, and be able to track the cutting-edge progress of the discipline.

Competences:

Be able to participate in academic discussions and classroom communication, fluently express personal opinions and answer questions; Be equipped with the habit of self-directed learning and a sense of lifelong learning, and be able to accept and respond to the challenges brought about by new technologies, new things and new problems in the field of communication.

Content

Lecture(16 contact hours, 14 self-study hours).

Chapter 1: Mobile Communications (2 contact hours, 2 self-study hours)

1) The first generation of mobile communications

2) Second-generation mobile communications

3) Third-generation mobile communications

4) Fourth-generation mobile communications

5) Fifth-generation mobile communications

Chapter 2:Integrated Circuits (2 contact hours, 2 self-study hours)

1) The invention and development of integrated circuits

2) The manufacturing process of integrated circuits

3) Integrated circuit design and EDA

4) Integrated circuit industry development model

Chapter 3:Computing Core( 2 contact hours, 2 self-study hours)

1) Turing, von Neumann and the mainframe computer

2) Personal computers with microprocessors

3) Computing architecture and instruction set

4) Baseband processors, graphics processors, and mobile processors

Chapter 4: Information Storage (2 contact hours, 2 self-study hours)

1) A brief history of hard disk development

2) Computer memory

3) Memristor and resistive random access memory

4) Spin electrons and magnetic random access memory

Chapter 5: Digital Imaging (2 contact hours, 1 self-study hours)

1) Photography and videography

2) Image sensor and intelligent processing

3) Thin-film transistors - liquid crystal displays

4) Organic light-emitting diodes

Chapter 6: Human-Computer Interaction (2 contact hours, 2 self-study hours)

1) Graphical interaction

2) Touch interaction

3) Human-computer interaction

4) Natural interactions

Chapter 7: Mobile Internet (2 contact hours, 1 self-study hours)

1) The origin and development of the Internet

2) Modern communication networks

3) New trends in Internet development

Chapter 8: Application Software (2 contact hours, 2 self-study hours)

1) Mobile app ecosystem

2) Mobile app

3) Smartphone operating system

Examination forms

Examination form: comprehensive assessment

Composition of grade: 30% for homework, 10% for discussion, 10% for classroom test, 50% for review report.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

5. Textbooks

[1] Zhang Youguang, Introduction to Electronic Information Majors, Electronic Industry Press, 2022.

2. Reference books

[1] Wang Yufeng, Introduction to Communication Engineering, Tsinghua University Press, 2020.

[2] Liu Shuaiqi, Introduction to Communication and Electronic Information Engineering, Tsinghua University Press, 2021.

3. Other learning resources

[1] Superstar Learning Pass

Semester(s) in which the

module is taught

The second semester

Person responsible for the

Module

Lecturer: Zhang Zheng

Course teacher

Lecturer: Zhang Zheng

Assistant Lecturer: Peng Furong

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with blended learning and experiments

Workload

Total workload = 90 hours

Contact hours = 48 hours

Self-study hours = 42 hours

Credit points

3

Required and recommended prerequisites for joining the module

Advanced Mathematics A(1)

Module objectives/intended learning outcomes

Knowledge:

Master the basic composition of circuits, circuit components and their characteristics, and understand the basic concepts of current, voltage, resistance, power and their interrelationships; In-depth understanding of the basic principles and analysis methods of DC circuits, including Kirchhoff's law, superposition principle, Thevenin's theorem, Norton's theorem and other DC Circuit Analysis methods, and master the analysis methods of AC circuits, including the basic concepts of sinusoidal AC circuits, phasor notation, complex impedance and admittance; Master the use of the three-factor method to analyze dynamic circuits.

Skill:

Ability to simulate relevant circuit problems using Multisim, a circuit analysis tool. Be proficient in using common electrical instruments, electronic measuring devices, and standard tools to independently carry out parameter measurement, data analysis, and conclusion verification as required by experiments. Additionally, be capable of analyzing and diagnosing common circuit faults, and promptly resolving them.

Competences:

Be able to use logical thinking and reasoning methods to analyze the logical relationship in the circuit and solve complex circuit problems. Acquire the ability to authenticate circuit analysis theories and techniques by executing carefully planned experiments.

Content

Lecture (38 contact hours, 32 self-study hours).

Chapter 1: Circuit Models and Circuit Theorems (6 contact hours, 5 self-study hours).

1) Overview of circuits and circuit models;

2) The reference direction of voltage and current and the power calculation of the circuit;

3) volt-ampere relationship of circuit components (resistance, capacitance, inductance);

4) Kirchhoff's law.

Chapter 2: Equivalent Conversion of Resistive Circuits (6 contact hours, 5 self-study hours).

1) the concepts of equivalence and equivalence transformation;

2) the equivalent transformation of resistive circuits with star and triangle connections;

3) two models of the actual power supply and their equivalent transformations;

4) The concept and calculation method of input resistance.

Chapter 3 :General Analysis of Resistive Circuits (6 contact hours,  5 self-study hours).

1) the number of independent equations for KCL and KVL;

2) Branch current analysis method of resistor circuit;

3) Mesh current analysis method for resistive circuits;

4) Loop current analysis method for resistive circuits.

5) Junction voltage analysis method of resistor circuit;

Chapter 4 :Circuit Theorem (6 contact hours, 5 self-study hours).

1) superposition theorem;

2) alternative theorem;

3) Thevenin's theorem and Norton's theorem;

4) Maximum power transfer theorem.

Chapter 5: Time Domain Analysis of First-Order Circuits (6 contact hours, 5 self-study hours).

1) Equations and initial conditions of dynamic circuits;

2) analysis of first-order circuits with zero input response and zero state response;

3) Full response and three-factor analysis method of next-order circuit under the action of DC power supply;

Chapter 6: Analysis of sinusoidal steady-state circuits (8 contact hours, 7 self-study hours).

1) Basis of complex, sinusoidal and phasor methods;

2) circuit laws and phasor forms of circuit components;

3) Impedance and admittance;

4) phasor diagram analysis of circuits;

5) Analysis of sinusoidal steady state circuits;

Experiment(10 contact hours, 10 self-study hours).

Experiment: Measurement of DC resistance (2 contact hours, 2 self-study hours).

Experiment: Potentiometric and Circuit Fault Handling (2 contact hours, 2 self-study hours).

Experiment: Verification of the Superposition Theorem and Kirchhoff's Law (2 contact hours, 2 self-study hours)

Experiment: Thevenin's Theorem (2 contact hours, 2 self-study hours).

Experiment: The RC charge-discharge circuit(2 contact hours, 2 self-study hours)

Examination forms

Examination form: written examination

Composition of grade: 12% homework, 12% classroom test, 16% experiment, 60% final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Xiaohui Wang, ed., Circuit Theory, Tsinghua University Press, 2022.

[2] Chen Yijun, ed., Circuit Learning Guide and experiment Tutorial, Higher Education Press, 2010.

2. Reference books

[1] Qiu Guanyuan, ed., Circuits (6th Edition), Higher Education Press, 2022.

[2] Zhang Weigang, ed., Circuit Analysis, Tsinghua University Press, 2023.

3. Other learning resources

[1] Superstar Learning Pass

[2] Multisim simulation software

Semester(s) in which the

module is taught

The third semester

Person responsible for the

Module

Lecturer: Zhang Aofeng

Course teacher

Lecturer: Zhang Aofeng

Assistant Lecturer: Liu Mingxin

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with case analysis, blended learning, and discussion-based teaching

Workload

Total workload = 90 hours

Contact hours = 48 hours

Self-study hours =42 hours

Credit points

3

Required and recommended prerequisites for joining the module

C Programming Language

Module objectives/intended learning outcomes

Knowledge:

Understand the basic concepts, characteristics, and storage methods of common data structures (such as arrays, linked lists, stacks, queues, trees, graphs, etc.); Master the implementation methods and time complexity analysis of basic operations (insertion, deletion, search, etc.) of various data structures.

Skill:

Able to use basic algorithms for common data structures to solve practical problems, and be able to analyze the time and space efficiency of algorithms. Ability to use C programming to implement basic algorithms for common data structures as well as application algorithms to solve specific problems.

Competences:

Ability to analyze and solve specific problems by applying algorithm models, and be able to comprehensively compare and analyze the algorithm design ideas and solutions of engineering problems. Have the ability to determine the data logical structure and storage structure for engineering problems, propose practical solutions, and be able to write algorithm code with sufficiently high time and space efficiency in the C language. 

Content

lecture (48 contact hours, 42 self-study hours).

Chapter 1: Introduction (2 contact hours, 2 self-study hours)

1) The concept of data and data structure, and the representation of data logical structure;

2) Analysis of the concept and characteristics of algorithms and the efficiency of algorithms

Chapter 2 :Linear Tables (6 contact hours, 4 self-study hours)

1) The concept and basic operation of linear tables;

2) Implementation and application of basic arithmetic algorithms for sequential tables;

3) the implementation and application of the basic arithmetic algorithm of the linked list;

4) Application of linear tables

Chapter 3 :Stacks and Queues (6 contact hours, 4 self-study hours).

1) definition of stack;

2) the implementation and application of sequential stack and chain stack and their basic operation algorithms;

3) The definition of queues, the implementation and application of sequential queues (ring queues), chain queues and their basic operation algorithms

Chapter 4: String (4 contact hours, 4 self-study hours)

1) the definition of strings, the implementation of sequential strings and their basic operation algorithms, and the implementation of chain strings and their basic operation algorithms;

2) Pattern matching algorithms for strings: BF algorithm, KMP algorithm, GetNext algorithm;

Chapter 5: Recursive Algorithms (2contact hours, 2self-study hours ).

1) The definition of recursion and the idea of recursion algorithm;

2) the "big problem" and "small problem" of recursive algorithms;

3) Model and C implementation of recursive algorithms

Chapter 6 :Arrays and Generalized Tables (4 contact hours, 4 self-study hours)

1) Definition of an array

2) Compressed storage of special matrices and sparse matrices

3) The definition, representation, and storage method of generalized tables

4)The traversal algorithm of generalized tables and their applications

Chapter 7 :Binary Tree (6 contact hours, 4 self-study hours ).

1) Definition, properties, storage, traversal of the tree

2) Definition, properties, and storage of binary trees

3) Conversion between binary tree and tree and forest

4) Basic operations on binary trees (including traversal operations)

5) Construct a binary tree

6) Huffman coding

Chapter 8 :Diagram (6 contact hours, 6 self-study hours).

1) Diagram definition and storage structure

2) The traversal algorithm of graphs and their applications

3) Spanning Tree and Minimum Spanning Tree

4) The shortest path

Chapter 9: Search (6 contact hours, 6 self-study hours).

1) The concept of searching

2) Finding algorithm for linear tables

3) The search algorithm of the tree table

4) Hash table lookup algorithm

Chapter 10 :Internal Sorting (6 contact hours, 6 self-study hours).

1) The basic concept of sorting

2) Insert sorting

3) Swap sorting

4) Select Sort

5) Merge sorting

Examination forms

Examination form: written test

Composition of grade: 16% for homework, 16% for classroom test, 8% for discussion, 60% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1. Textbooks

Data Structure Tutorial (6th Edition), Li Chunbao, Tsinghua University Press, 2022.7

2 .Reference books

[1] Mark, Data Structure and Algorithm Analysis (2nd Edition), M., Beijing: Machinery Industry Press, 2022.6

[2] Chen Rui, "Data Structure and Algorithms in Simple Terms", M. Beijing: Tsinghua University Press, 2023.4

[3] Hu Zhaomin, Illustrated Data Structure, M., Beijing, Tsinghua University Press, 2022.11

3. Other learning resources

Platform: Chaoxing Learning Pass; (PTA) Programming Experiment Auxiliary Teaching Platform;

Semester(s) in which the

module is taught

The third semester

Person responsible for the

Module

Lecturer: Zhang Aofeng

Course teacher

Lecturer: Zhang Aofeng

Assistant Lecturer: Liu Mingxin

Lecturer: Wang Ning

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Experiment

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

C Programming Language

Module objectives/intended learning outcomes

Knowledge:

Be proficient in the basic principles of data organization methods such as linear tables, stacks, queues, strings, arrays, generalized tables, binary trees, and graphs, as well as the design and application of basic algorithms. Master the design methods of algorithms such as the minimum spanning tree algorithm, shortest path solving algorithm, linear list, tree table, hash table search algorithm, insertion sort, selection sort, and exchange sort algorithm.

Skill:

Be able to select appropriate data organization methods and data storage structures for specific engineering problems. Be able to use algorithms, time and space efficiency analysis methods, to design and implement comprehensive and efficient data computing algorithms; Be proficient in the implementation and application of commonly used typical algorithms;

Competences:

Ability to reasonably organize data according to the actual needs of engineering problems, store data effectively in computers, design algorithms that can solve specific problems and implement them in C language.

Content

Experiment (16contact hours, 14self-study hours).

Experiment 1: Application and algorithm design of linear tables (2 contact hours, 2 self-study hours).

Experiment 2:Application and algorithm design of the second stack of experiments (2 contact hours, 2 self-study hours).

Experiment 3: Cohort application and algorithm design (2 contact hours, 2 self-study hours).

Experiment 4:Design of pattern matching algorithm for experiment  (2 contact hours, 2 self-study hours).

Experiment 5: Application and algorithm design of binary tree (2 contact hours, 2 self-study hours).

Experiment 6: Design of Minimum Spanning Tree and Shortest Path Algorithm for Graph (2 contact hours, 2 self-study hours)

Experiment 7: Design of Linear Table and Tree Table Lookup Algorithm (2contact hours, 1 self-study hours).

Experiment 8 Design of Classical Sorting Algorithm (2contact hours, 1 self-study hours)

Examination forms

Examination form: comprehensive examination

Composition of grade: 10% for pre-study of experiment, 60% for operation of the experiment, and 30% for experiment report.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

1. Textbooks:

[1]Data Structure Tutorial Hands-on Experiment Guide (6th Edition), Chunbao Li, Tsinghua University Press, 2022.7

2 Reference:

[1] You Hongyue, "Data Structure and Algorithm Experiment and Curriculum Design", M, Beijing: Tsinghua University Press, 2020.12

[2] Wang Tong, Data Structure Experiment Tutorial (Micro Course Edition), M, Beijing, Tsinghua University Press, 2021.12

3. Other learning resources:

[1]MOOC website: Data structure_Wuhan University_China University MOOC (MOOC).Experiment-assisted teaching platform: PTA | Programming experiment auxiliary teaching platform

Semester(s) in which the

module is taught

The third semester

Person responsible for the

Module

Lecturer: Zeng Qiufen

Course teacher

Lecturer: Zeng Qiufen

Lecturer: Peng Zhen

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with demonstration method and virtual simulation experiments

Workload

Total workload = 105 hours

Contact hours = 56 hours

Self-study hours = 49 hours

Credit points

3.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A, College Physics, Circuit Analysis

Module objectives/intended learning outcomes

Knowledge:

Master the definition and classification of signals and systems; Understand the time domain operations of signals, such as addition, multiplication, translation, inversion, scale transformation, etc.. Master the mathematical description of linear time-invariant systems, time-domain analysis methods of continuous signals, including unit impulse response, zero input response, zero state response, and the calculation and properties of convolution. Be familiar with the definitions, properties, and calculation methods of Fourier transform, Laplace transform, and Z-transform, as well as their applications in signal and system analysis. Master the concept of system functions, calculation methods and their relationship with system characteristics, and be able to judge the performance of the system according to the zero pole distribution of the system function.

Skill:

Be able to conduct various analyses and calculations of signals and systems, establish mathematical models of signals and systems in practical problems, and use the learned theories and methods to solve them, so as to obtain the system responses and performance indicators. Be able to apply the methods of using relevant professional software (such as MATLAB, etc.) to simulate, analyze and design signals and systems, including drawing signal waveforms, calculating transformations, solving system responses, and so on.

Competences:

Be able to comprehensively analyze the given signals and systems by applying the learned knowledge and skills, including time-domain analysis, frequency-domain analysis, complex frequency-domain analysis, etc., and determine the characteristics and performance of the systems. Have the ability to analyze and process the systems in the time domain, frequency domain and complex frequency domain.

Content

Lecture (56 contact hours, 49 self-study hours )

Chapter 1: Signals and systems (12 contact hours, 10 self-study hours)

1) Signal & System Concepts;

2) signals and their classification;

3) Calculation of continuous signals;

4) step function and impulse function;

5) Description of the system;

6) Characteristics and analysis methods of the system.

Chapter 2: Time domain analysis of continuous systems (10 contact hours, 10 self-study hours).

1) the response of the LTI continuous system;

2) impulse response and step response;

3) convolutional integration;

4) The nature of convolutional integrals.

Chapter 3: Frequency domain representation and analysis of signals (14 contact hours, 12 self-study hours).

1) Fourier series analysis of periodic signals;

2) symmetry of the periodic signal;

3) the spectrum of non-periodic signals—Fourier transform;

4) Fourier transform properties and theorems.

Chapter 4:Frequency domain analysis of continuous systems (10 contact hours, 8 self-study hours).

1) Frequency domain analysis of LTI system;

2) Distortion-free transmission system;

3) Ideal low-pass filter and physically achievable system;

4) Time-domain sampling and recovery.

Chapter 5:Complex frequency domain analysis of continuous systems (10 contact hours, 9 self-study hours).

1) Laplace transform;

2) properties and theorems of the Laplace transform;

3) Laplace inverse transform;

4) Laplace transform analysis method for LTI system;

5) System function and complex frequency domain analysis;

6) Simulation and signal flow diagram of continuous time system;

7) Stability of LTI continuous system.

Examination forms

Examination form: written examination

Composition of grade: 10% for performance, 20% for homework, 10% for experiment, and 60% for final exam.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1. Textbooks

[1] Chen Houjin, ed., Signals and Systems (3rd Edition) [M], Higher Education Press, 2020.

2. Reference books

[1] Wu Jing, An Chengjin, Zhou Jianxiong, et al. Signal and Linear System Analysis (Third Edition), Tsinghua University Press, 2021.

[2] Wu Dazheng, Li Xiaoping. Signal and Linear Systems Analysis (5th Edition), Higher Education Press, 2019.

[3] Zhang Xiaohong. Signals and Systems (Fourth Edition), Xidian University Press, 2018

3. Other learning resources

[1] Signals and Systems:

https://coursehome.zhihuishu.com/courseHome/1000009228#teachTeam

Semester(s) in which the

module is taught

The third semester

Person responsible for the Module

Lecturer: Peng Deyi

Course teacher

Lecturer: Peng Deyi

Assistant Lecturer: Peng Furong

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with blended learning and virtual simulation experiments

Workload

Total workload =75 hours

Contact hours = 40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A , Linear Algebra, Circuit Analysis

Module objectives/intended learning outcomes

Knowledge:

Master the working principles and parameters of basic electronic components, such as diodes, transistors, MOSFETs, amplifiers, filters, etc.. Master the composition, working principle and analysis methods of various basic amplification circuits, integrated operation amplification circuits, power amplification circuits, feedback amplification circuits, and non-sine wave generation circuits.

Skill:

Be able to select and skillfully use appropriate simulation software to simulate analog circuits, including circuit construction, parameter setting, result analysis, etc., and be able to eliminate faults in the simulation process in time.

Competences:

Ability to analyze and express various analog unit circuits in combination with theoretical knowledge and simulation tools. Be able to establish corresponding circuit models for engineering problems in the field of analog electronic technology, and solve and analyze them.

Content

Lecture (40 contact hours, 35 self-study hours).

Chapter 1: Introduction (2 contact hours, 2 self-study hours)

1) The model and main performance indicators of the amplification circuit

Chapter 2 :Operational Amplifiers (6 Contact Hours, 4 Self-Study Hours)

1) The main structure of the integrated op amp and the model and characteristics of the ideal op amp;

2) the application circuit composed of the ideal amplifier is analyzed by using "imaginary short" and "imaginary break";

3) Typical application circuits composed of integrated op amps.

Chapter 3: Diodes and their Basic Circuits (4 contact hours, 4 self-study hours)

1) Basic knowledge of semiconductors:

2) Formation and characteristics of PN junction:

3) Diode basic circuit and analysis method:

4) Special diodes

Chapter 4: Field Effect Transistors and Their Amplification Circuits (6 contact hours, 3 self-study hours)

1) Metal-Oxide-Semiconductor MOSFET

2) MOS amplification circuit

3) Junction FET (JFET)

Chapter 5: Bipolar Junction Triode and Its Amplification Circuits (4 contact hours, 4 self-study hours)

1) Semiconductor transistor (BJT)

2) BJT amplification circuit

3) Comparison of FET and BJT and their amplification circuit performance

4) Multi-stage amplification circuit

Chapter 6: Frequency Response (2 contact hours, 2 self-study hours)

1) The frequency response of the RC circuit

2) The low-frequency response of the single-tube amplification circuit

3) High-frequency response of single-tube amplification circuits

Chapter 7: Analog Integrated Circuits (4 Contact Hours, 4 Self-Study Hours)

1) DC bias technology for analog integrated circuits

2) Analysis of differential amplifier circuit and its transmission characteristics

3) Integrated circuit operational amplifiers

4) Analog multiplier

Chapter 8 :Feedback Amplification Circuits (4 contact hours, 4 self-study hours)

1) Basic concepts and classifications of feedback

2) Four configurations of negative feedback amplification circuits

3) A general expression of the gain of a negative feedback amplification circuit

4) The effect of negative feedback on the performance of the amplification circuit

5) Approximate calculation of feedback circuits under deep negative feedback conditions

6) Negative feedback amplification circuit design

Chapter 9 :Power Amplification Circuits (4 contact hours, 4 self-study hours)

1) General problems with power amplification circuits

2) Examples of Class A amplifiers

3) Class B dual-power supply complementary symmetrical power amplifier circuit

4) Integrated power amplifier

Chapter 10: Signal Processing and Signal Generation Circuits (4 contact hours, 4 self-study hours).

1) Basic concepts and classifications of filters

2) First-order active filter circuit

3) High-order active filtering circuits

4) Switching capacitor filter

5) Sine wave oscillation circuit

6) Non-sine wave signal generation circuits

Examination forms

Examination form: written examination

Composition of grade: 20% for homework, 16% for discussion,  4% simulation design, 60% for final exam.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Kang Huaguang, editor-in-chief. Fundamentals of Electronic Technology-Simulation Part (6th Edition).Higher Education Press.Beijing.2018.

2. Reference books

[1] Hua Chengying, ed. Fundamentals of Analog Electronic Technology (Fifth Edition), Higher Education Press, Beijing, 2008

[2] Wang Zhigong, Shen Yongchao, eds., Fundamentals of Circuits and Electronic Circuits, Higher Education Press, 2013

[3] Boygelstad, Analog Electronic Technology, Electronic Industry Press, 2008

[4] Chen Daqin, ed., Fundamentals of Electronic Technology - Simulation Part (6th Edition) Learning Tutorial and Exercise Answers. Higher Education Press. Beijing.2018

3. Other learning resources

[1] Superstar Learning Pass

[2] Chinese University MOOC: https://www.icourse163.org/

Semester(s) in which the

module is taught

The third semester

Person responsible for the Module

Lecturer: Wu Linjun

Course teacher

Lecturer: Wu Linjun

Assistant Lecturer: Peng Furong

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Experiment

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

Circuit Analysis

Module objectives/intended learning outcomes

Knowledge:

Master the working principle of basic electronic components, such as diodes, transistors, MOSFETs, amplifiers, etc.. Master the basic theoretical knowledge of basic amplification circuits, arithmetic amplification circuits, RC venturi bridge oscillators, and waveform generation circuits.

Skill:

Be proficient in using electronic instruments and equipment to test analog electronic circuits. This includes performing tasks such as signal measurement and circuit parameter adjustment to ensure that the circuit performance meets the specified requirements. Be able to organize and analyze experimental data, present experimental results using methods such as charts and formulas, and draw scientific conclusions. Be capable of using simulation software to model and simulate analog electronic circuits. And be able to optimize the circuit performance by fine-tuning the circuit parameters, thereby enhancing the stability and reliability of the circuits.

Competences:

Be able to independently design experiment schemes, select appropriate experiment methods and instruments and equipment, accurately implement experiment procedures, and be able to record and analyze experiment data according to the purpose and requirements of the experiment. When encountering problems in the process of experiments, students can use the knowledge they have learned to analyze and solve them independently.

Content

Experiment (16 contact hours, 14 self-study hours).

Experiment 1: Use of commonly used electronic devices (2 contact hours, 2 self-study hours).

Experiment 2: Basic Computing Circuits (1) (2 contact hours, 2 self-study hours).

Experiment 3:Basic Computing Circuits (2) (2 contact hours, 2 self-study hours)

Experiment 4: Design of Operational Circuits (2 contact hours, 2 self-study hours).

Experiment 5: Transistor Single Tube Amplifier Circuit (4 contact hours, 2 self-study hours).

Experiment 6: RC Venturi bridge oscillator (2 contact hours, 2 self-study hours).

Experiment 7: Design and Debugging of Waveform Generation Circuits (2 contact hours, 2 self-study hours).

Examination forms

Examination form: comprehensive assessment

Composition of grade: 10% for pre-study of experiment, 25% for operation of the experiment, and 15% for experiment report, and 50% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

1.Textbooks

[1] Guo Zhaonan and Sun Shenglin, eds., Electronic Technology and EDA Technology Experiment and Simulation (1st Edition), Central South University Press, 2012.

2. Reference books

[1] Tong Shibai and Hua Chengying, eds., Fundamentals of Analog Electronic Technology (5th Edition), Higher Education Press, 2015.

[2] Kang Huaguang, ed., Simulation of Electronic Technology Fundamentals (6th Edition), Higher Education Press, 2016.

[3] Chen Daqin, ed., Basic Experiments of Electronic Technology, Higher Education Press, 2001.

3. Other learning resources

[1] Superstar Learning Pass

[2] Multisim simulation software

Semester(s) in which the

module is taught

The fourth semester

Person responsible for the

Module

Lecturer: Wu Linjun

Course teacher

Lecturer: Wu Linjun

Assistant Lecturer: Shen Hanqiu

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with blended learning and experiments

Workload

Total workload = 75 hours

Contact hours =40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A, Circuit Analysis, Analog Electronic Technology

Module objectives/intended learning outcomes

Knowledge:

Master the basic concepts of digital circuits, including binary number system, logic algebra, gate circuits (such as AND, OR, NOT, XOR, etc.), and flip-flops (such as RS flip-flops, D flip-flops, JK flip-flops, etc.). Be familiar with the hierarchical structure of digital systems, understand the design principles of combinatorial logic circuits and sequential logic circuits, and master the analysis and synthesis methods of digital circuits.

Skill:

Be capable of conducting analysis, design, and simulation of digital circuits, and using Multisim to verify circuit functionality. Master the operation of basic digital-circuit test instruments such as oscilloscopes, logic analyzers, and signal generators. Be able to independently carry out digital-circuit experiments, which encompasses troubleshooting issues and evaluating circuit performance.

Competences:

Be able to independently analyze, design, compare, comprehensively optimize digital electronic circuit modules for specific engineering problems, and independently conduct testing and debugging to achieve the predetermined functions.

Content

Lecture (30 contact hours, 25 self-study hours).

Chapter 1:Introduction, Number Systems, and Coding Systems (2 contact hours, 1 self-study hours)

1) the characteristics and development of digital circuits;

2) Conversion between commonly used number systems and number systems;

3) arithmetic operations;

4) Several commonly used codes.

Chapter 2: Fundamentals of Logical Algebra (4 contact hours, 4 self-study hours)

1) the basic operations, formulas, and theorems of logical algebra;

2) logical functions and their representations;

3) the formulation simplification of logical functions;

4) the expression of the smallest term of the logical function;

5) Carnot diagram simplification of logical functions;

6) Transformation of logical function expressions.

Chapter 3: Gate Circuits (4 Contact Hours, 4 Self-Study Hours)

1) The switching characteristics of semiconductor devices, the circuit composition and working principle of diodes and gates, or gates;

2) The circuit composition and working principle of the CMOS inverter, and the common types of CMOS gate circuits;

Chapter 4: Analysis and Design of Combinatorial Logic Circuits (6 contact hours, 4 self-study hours)

1) Analysis and design methods of combinatorial logic circuits;

2) Commonly used combination logic devices: encoders, decoders, data selectors, adders, numerical comparators;

3) hierarchical and modular design approach;

4) The combinatorial-risk-taking phenomenon of combinatorial logic circuits.

Chapter 5: Semiconductor Storage Circuits (4 contact hours, 4 self-study hours)

1) Semiconductor memory circuit basics: RS latch, level trigger, pulse trigger, edge trigger;

2) trigger function and description method.

Chapter 6 :Sequential Logic Circuits (6 contact hours, 4 self-study hours)

1) Analysis methods of sequential logic circuits;

2) Sequential logic devices: registers, shift registers, counters;

3) Design methods for sequential logic circuits.

Chapter 7: Sequential Logic Circuits (4 contact hours, 4 self-study hours)

1) Mit trigger;

2) monostable triggers;

3) Multivibrator;

4) 555 timer and its application.

Experiment (10 contact hours, 10 self-study hours).

Experiment 1 Gate Logic Function and Parameter Test (2 contact hours, 2 self-study hours )

Experiment 2 SSI Combinatorial Logic Circuits (2 contact hours, 2 self-study hours)

Experiment 3 MSI Combinatorial Logic Circuits (2 contact hours, 2 self-study hours)

Experiment 4 N-base counter (2 contact hours, 2 self-study hours)

Experiment 5 555 Timer Application (2 contact hours, 2 self-study hours)

Examination forms

Examination form: written examination

Composition of grade: 10% for homework, 10% for classroom test, 20% for experiment, 60% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Yan Shi, ed., Fundamentals of Digital Electronic Technology (Sixth Edition), Higher Education Press, 2016.

2. Reference books

[1] Kang Huaguang, ed., The Digital Part of the Fundamentals of Electronic Technology (7th Edition), Higher Education Press, 2021.

Semester(s) in which the

module is taught

The fourth semester

Person responsible for the

Module

Lecturer: Peng Zhen

Course teacher

Lecturer: Peng Zhen

Assistant Lecturer: Chen Yuyu

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with Problem-Based Learning, case studies, blended learning, and virtual simulation experiments

Workload

Total workload =75 hours

Contact hours = 40 hours

Self-study hours = 35 hours

Credit points

2.5

Required and recommended prerequisites for joining the module

Circuit Analysis, Engineering Mathematics (including Advanced Mathematics A, Linear Algebra, Complex Function and Integral Transformations), Signals and Systems

Module objectives/intended learning outcomes

Knowledge:

A profound understanding of the core concepts in the field, such as discrete-time signals, discrete-time systems, discrete Fourier transforms, and Z-transforms, is essential. Be capable of precisely differentiating their definitions, properties, and interrelationships.   

Skills:

 Be able to describe discrete-time signals in the form of sets, graphs, etc., and establish mathematical models of signals using functions. Be proficient in using difference equations, initial conditions, and convolution operations to establish mathematical operation models among the input, system, and output. Be able to use mathematical tools such as Z-transform and Fourier transform to establish mathematical models of discrete-time systems and analyze system characteristics. Be able to understand the meaning of the system's frequency response based on the idea of signal decomposition. Be able to establish mathematical operation models for signal processing in the frequency domain. Be able to analyze the sampling theorem through the connection between the time domain and the frequency domain, and further analyze the conditions and processes of digitizing continuous signals in engineering applications.

Competences:

Be able to use the Discrete Fourier Transform (DFT) and its Fast Fourier Transform (FFT) algorithm as tools. Through the derivation of the mathematical models and methods of signal processing by systems in engineering applications, analyze the implementation process of signal processing in computers. Moreover, under the constraints of the frequency-domain sampling theorem, by establishing a spectral analysis model of analog data, conduct research on spectral analysis errors such as spectral aliasing, the picket fence effect, and inter-spectrum interference in engineering applications, effectively solving the spectral analysis problems of signals in the field of communication engineering. Be able to identify different structural models of systems and proficiently use different structures to implement (analyze) the processing and transmission of signals.

Content

Lecture (40 contact hours, 35 self-study hours).

Introduction (1 contact hours, 1 self-study hours)

1)Basic concepts of digital signals and digital systems

2)Characteristics of digital signal processing;

3)Implementation technology and application of digital signal processing

Chapter 1: (5 Contact Hours, 4 Self-Study Hours)

1)Discrete signals in the time domain

2)Discrete systems in the time domain

3)Input-output descriptor method for discrete systems in the time domain – linear constant coefficient difference equation

4)Analog signal digital processing method

Chapter 2: Frequency Domain Analysis of Discrete Signals and Systems in the Time Domain (6 contact hours, 6 self-study hours)

1)Definition and properties of the Fourier transform of a sequence

2)The relationship between the Fourier transform of a discrete signal in the time domain and the Fourier transform of an analog signal

3)Z-transformation of the sequence

4)Analyze the frequency-domain characteristics of signals and systems using the Z-transform

Chapter 3: DFT(6 contact hours, 6 self-study hours)

1)Discrete Fourier series of periodic series

2) Definition of discrete Fourier transform

3) The basic properties of the discrete Fourier transform

4)Frequency domain sampling

5)DFT for spectral analysis

Chapter 4:FFT (4 contact hours, 4 self-study hours)

1)Directly calculate the problems of DFT and the ways to improve it

2) Base 2FFT algorithm for time extraction

3)Base 2FFT algorithm for frequency extraction

4) Other fast algorithms

Chapter 5: Network Structure of Discrete Systems in the Time Domain (4 contact hours, 4 self-study hours)

1) Represent the network structure with a signal flow diagram

2) The basic network structure of the IIR filter

3) The basic network structure of the FIR filter

4)Linear phase structure

5)Frequency sampling structure

Chapter 6: IIR Digital Filter Design (6 contact hours, 4 self-study hours)

1)The basic concept of digital filters

2) Design of analog filters

3)Design the IIR digital low-pass filter with the impulse response invariant method

4)The IIR digital low-pass filter is designed by the bilinear transformation method

5)Design of digital high-pass, band-pass and band-stop filters

Chapter 7: Design of FIR Digital Filters (8 contact hours, 6 self-study hours)

1)Conditions and characteristics of linear phase FIR digital filters

2) Use the window function method to design the FIR filter

3) Design the FIR filter using the frequency sampling method

4)Design the FIR digital filter by using the equal ripple best approximation method

5) Comparison of IIR and FIR digital filters

6)Introduction to several special types of filters

Examination forms

Examination form: written examination

Composition of grade: 16% for homework, 12% for classroom test, 12% for discussion, 60% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1. Textbooks

[1] Gao Xiquan, Ding Yumei. Digital Signal Processing(5th Edition)[M].Xidian University Press,2022

2. Primary reference books

[1] Chen Houjin, Xue Jian. Digital Signal Processing(3rd Edition)[M].Higher Education Press,2018.

[2] Cheng Peiqing, Digital Signal Processing Tutorial (Fifth Edition) MATLAB Edition[M].Tsinghua University Press,2017.

[3] B.P.Lathi, Linear Systems and Signals(2nd Edition)[M].Xi'an Jiaotong University Press,2006.

Semester(s) in which the

module is taught

The fourth semester

Person responsible for the

Module

Lecturer: Peng Zhen

Course teacher

Lecturer: Peng Zhen

Lecturer: Zeng Qiufen

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Experiment

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

Circuit Analysis, Signals and Systems

Module objectives/intended learning outcomes

Knowledge:

Be proficient in at least one commonly used digital signal processing software tool (mainly MATLAB), including familiarity with the programming environment, basic function calling, data type processing, and plotting, etc..

Skill:

Be able to design digital filters in a software environment based on the given filter technical specifications. Be able to apply corresponding design methods (such as the impulse response invariance method and bilinear transformation method for IIR digital filters, the window function method and frequency sampling method for FIR digital filters, etc.). Ability to verify the performance of the filter through the output of the analog signal after passing through the filter, and to observe whether its frequency response and filtering effect meet the design requirements.

Competences:

Ability to collect, organize and effectively analyze various types of data generated during the experiment process. Be able to identify problems and gain insights into the patterns within the data. For example, determine whether the frequency response curve of the filter conforms to the design specifications, and identify the factors that may affect its performance.

Content

Experiments (16contact hours, 14 self-study hours).

Experiment 1: Signal generation (2 contact hours, 0 self-study hours).

1)Generate various typical sequences such as unit sampling, unit step, cosine, complex sinusoid, exponent, etc.;

2) Complete the experiment step by step;

3)Analysis of results

Experiment 2: Time Domain Sampling and Frequency Domain Sampling (2 contact hours, 2 self-study hours )

1) MATLAB is used to sample the signal in the time domain, and the change of the spectrum of the analog signal before and after sampling is observed.

2)Design a process of repeating 1 with different sampling frequencies

3)Design frequency sampling experiments and analyze and summarize the guiding role of frequency sampling point selection.

Experiment 3: FFT Spectroscopy (4 contact hours, 4 self-study hours )

1)Correctly determine the various parameters in the spectral analysis; Perform a spectrum analysis of a given signal

2)Errors that may occur in the analysis of the analysis spectrum and their causes

Experiment 4: Design of IIR digital filter (4 contact hours, 4 self-study hours).

1) Generate noise signal as required;

2) Use the IIR digital filter design function to design the filter that meets the requirements of the index;

3) Filtering the noisy signal;

4)Summarize the problems existing in the experiment process and the solutions to them.

Experiment 5: Design of FIR digital filter (4 contact hours, 4 self-study hours).

1) Generate noise signal as required;

2)Use the FIR digital filter design function to design the filter that meets the requirements of the index;

3) Filtering the noisy signal;

4) Summarize the problems existing in the experiment process and the solutions to them.

Examination forms

Examination form: comprehensive examination

Composition of grade: 20% for pre-study of experiment, 40% for operation of the experiment, and 40% for experiment report.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

1. Textbooks

[1] Dai Hong. Digital Signal Processing Experiment and Curriculum Design Tutorial——Oriented to Engineering Education[M].Publishing House of Electronics Industry.2020.

2. Reference books

[1] Gao Xiquan, Ding Yumei. Digital Signal Processing(5th Edition)[M].Xidian University Press,2022.

[2] Chen Houjin, Xue Jian. Digital Signal Processing(3rd Edition)[M].Higher Education Press,2018.

[3] Cheng Peiqing, Digital Signal Processing Tutorial (Fifth Edition) MATLAB Edition[M].Tsinghua University Press,2017.

[4] B.P.Lathi, Linear Systems and Signals(2nd Edition)[M].Xi'an Jiaotong University Press,2006.

Semester(s) in which the

module is taught

The fifth semester

Person responsible for the

Module

Lecturer: Peng Zhen

Course teacher

Lecturer: Peng Zhen

Lecturer: Zeng Qiufen

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Combine traditional lectures with Problem-Based Learning, flipped classrooms, case studies, blended learning, and virtual simulation experiments

Workload

Total workload = 105 hours

Contact hours = 56 hours

Self-study hours = 49 hours

Credit points

3.5

Required and recommended prerequisites for joining the module

Advanced Mathematics A, Probability Theory and Mathematical Statistics, Circuit Analysis, Signals and Systems, Digital Signal Processing, Communication Electronic Circuits

Module objectives/intended learning outcomes

Knowledge:

Be familiar with all aspects of the communication system from the source to the host, including the generation, transmission, transmission, reception and corresponding transformation and processing of signals, be able to accurately describe the general model of analog communication system and digital communication system, and understand the function and interrelationship of each module.

Skill:

Be able to use the knowledge of communication theory learned to analyze the performance of a given communication system, and evaluate its transmission efficiency, bit error performance, anti-interference ability and other indicators under different channel conditions, modulation modes and coding schemes.

Competences:

According to the specific communication requirements and performance requirements, students can participate in the preliminary design of simple communication systems, and put forward reasonable technical solutions and parameter selection suggestions.

Content

Lecture (56 contact hours, 49 self-study hours).

Chapter 1: Introduction (4 contact hours, 3 self-study hours)

1)The development and application of communication, and the impact of communication technology on the state, society and individuals.

2)Case study of communication system;

3)The concept, system model, and communication mode of communication system.

4)Information metrics, the amount of information in discrete messages

5)Communication system performance indicators and their measurement criteria

Chapter 2: Redundancy Signal(2 contact hours, 2 self-study hours)

1)Master the properties and analysis methods of signal frequency domain;

2)Master the analysis method to know the time-domain characteristics of the signal.

Chapter 3 Stochastic Processes (4 contact hours, 4 self-study hours)

1)Definition of stochastic processes and their numerical characteristics;

2)Definition, correlation function and power spectral density of stationary stochastic processes; Statistical properties of Gaussian processes, narrow-band Gaussian processes, sine waves plus narrow-band Gaussian processes, and statistical properties of stochastic processes after passing through linear systems

Chapter 4 : Mathematical model(4contact hours,4 self-study hours)

1)Definition and mathematical model of the channel, channel capacity, additive noise of the channel

2)Constant parameter channel characteristics, accompanying channel characteristics and their influence on signal transmission.

Chapter5: Analog Modulation Systems (8 contact hours, 6 self-study hours)

1)The principle of amplitude modulation and its anti-noise performance

2)The principle of nonlinear modulation and its anti-noise performance

3) Comparison of various analog modulation systems

4) Frequency division multiplexing

Chapter 6: Baseband Transmission (8 contact hours, 6 self-study hours)

1)Digital baseband signals and their spectral characteristics

2)Common patterns for baseband transmission

3)Qualitative and quantitative analysis of digital baseband signal transmission

4)Baseband transmission characteristics without inter-code crosstalk, Nyquist first criterion

5)Analysis of anti-noise performance of baseband transmission system

6)Eye diagram

7) Partially responsive baseband transmission system, time domain equalization

Chapter 7: Digital Modulation (8contact hours, 6 self-study hours)

1)The principle of binary digital modulation

2) Anti-noise performance of binary digital modulation system

Chapter 8: Best Reception (6 contact hours,  6 self-study hours)

1)Statistical description of digital signal reception and best reception criteria

2)Confirm the best reception of the digital signal

3)Comparison of actual/best receiver performance

4) Matching filter reception principle and its performance

Chapter 9: Digitalization (6 contact hours, 6 self-study hours)

1) Analog signal sampling theorem

2)The basic principle of pulse code modulation, the process of sampling, quantization, and coding

3)Telephone signal coding method 4. PCM system anti-noise performance

4) ΔM, ADPCM system

5)The principle of time division multiplexing

Chapter 10 Channel Coding (6 contact hours, 6 self-study hours)

1)The basic principle of error correction coding, and the performance of error correction coding

2) Simple and practical encoding: parity supervision code, constant ratio code, positive and negative code

3) Linear block code

Examination forms

Examination form: written examination

Composition of grade: 18% for classroom test 14% for homework, 8% for discussion, and 60% for final exam

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above 60.

Reading list and resource

1.Textbooks

[1] Fan Changxin, Cao Lina, Communication Principles (Seventh Edition)[M].Beijing:National Defense Industry Press,2016

2. Reference books

[1] Han Qingwen, Ye Lei, Pu Xiujuan, Communication Principles (Second Edition)[M].Beijing:Publishing House of Electronics Industry,2014.

[2] Zhang Hui, Cao Lina, Principles and Technology of Modern Communication (Third Edition)[M].Xi'an:Xidian University Press,2013

3. Other learning resources

[1] Communication Principles Classroom Experiments and Self-Learning Software: http://120.78.71.108:8092/login

Semester(s) in which the

module is taught

The fifth semester

Person responsible for the

Module

Lecturer: Peng Zhen

Course teacher

Lecturer: Peng Zhen

Lecturer: Zeng Qiufen

Language

Chinese

Relation to curriculum

Compulsory

Teaching methods

Experiment

Workload

Total workload = 30 hours

Contact hours = 16 hours

Self-study hours = 14 hours

Credit points

1

Required and recommended prerequisites for joining the module

Circuit Analysis, Signals and Systems, Digital Signal Processing A, Communication Electronic Circuits

Module objectives/intended learning outcomes

Knowledge:

Consolidate and deepen students' understanding of the core concepts in communication principles (such as modulation, demodulation, encoding and decoding, channel characteristics, synchronization technology, etc.), so that abstract theoretical knowledge can become intuitive and easy to understand through experiment phenomena.

Skill:

Students will be proficient in the operation and use of various communication experiment instruments and equipment (such as signal generators, oscilloscopes, spectrum analyzers, bit error meters, etc.), and at the same time, students will be able to use professional software (such as MATLAB, etc.) to model, simulate and analyze communication systems.

Equip students with the ability to measure, analyze, and evaluate the performance indicators of communication systems (e.g., bandwidth, power, bit error rate, signal-to-noise ratio, etc.), and then acquire the skills to optimize communication systems for different needs.

Competences:

Through the design of experiment schemes, the construction of experiment circuits, the collection and processing of experiment data, etc., students will exercise scientific experiment methods and rigorous thinking logic, and cultivate students' ability to explore independently, think independently and solve practical problems.

Content

Experiment (16 contact hours, 14 self-study hours).

Experiment 1: Analog modulation techniques (2 contact hours, 2 self-study hours).

1)The analog transmission system is designed according to the requirements of sampling different linear modulation methods

Experiment 2: Digital Baseband Transmission Technology (4 contact hours, 4 self-study hours)

1) Design the baseband transmission pattern

2)Design an eye diagram observation system

3)Design the baseband transmission system according to the requirements

Experiment 3: Digital Modulation Techniques (4 contact hours, 4 self-study hours)

1)Implement the modulation and demodulation process of ASK, FSK, PSK

2)Design the frequency band transmission system according to the requirements

Experiment 4: Analog Signal Digitization and Source Coding (4 contact hours, 2 self-study hours)

1) Signal sampling and recovery

2)Implementation of PCM code

Experiment 5: Error Correction and Error Detection Coding (2 contact hours, 2 self-study hours)

1) Design and implementation of cyclic code coding circuit

2)Design and implementation of convolutional codes

Examination forms

Examination form: comprehensive assessment

Composition of grade: 20% for pre-study of experiment, 40% for operation of the experiment, and 40% for experiment report.

Study and examination requirements

Students whose attendance rate and assignment completion rate both exceed 2/3 can take the examination.

The comprehensive score is above passing grade.

Reading list and resource

1. Textbooks

[1] You Yang Hongwen, experiment Textbook of Communication Principles [M], Beijing University of Posts and Telecommunications Press, 2009

2. Reference books

[1] Wang Wang Fuchang, Communication Principles Experiment (2nd Edition) [M], Tsinghua University Press, 2014

[2] Zhang Defeng, Modeling and Simulation of MATLAB/Simulink Communication System[M], Tsinghua University Press, 2022.

[3] Deng Fenfa, MATLAB Communication System Modeling and Simulation (2nd Edition)[M], Tsinghua University Press, 2018.