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Courses

Information and Computational Sciences


Course Type

Course Attribute

Course Title

Semester

Total Class Hours


Major Academic Subjects


Compulsory

C   Programming Language

1

48

Mathematical   Analysis(1)

1

96

Advanced   Algebra and Analytic Geometry(1)

1

72

Mathematical   Analysis(2)

2

96

Mathematical   Analysis(3)

3

48

Advanced   Algebra and Analytic Geometry(2)

2

72

Ordinary   Differential Equations

3

32

Complex   Functions and Integral Transformations

3

48

Theory   of Probability and Statistics (A)

4

64


Professional Core


Compulsory

Discrete   Mathematics

2

48

Data   Structures and Algorithms

3

56

Mathematical   Modeling and Experiment

4

40

Numerical   Analysis

5

48

Information   and Coding

5

32

Operations   Research

6

32

Multivariate statistics   and Data Analysis

6

32


Major-Field Courses


Compulsory

Introduction   to Major

3

16

Object-Oriented   Programming

1

56

Operation   System

4

40

Python   Programming and Application

5

32

Database   Principles and Application

5

56

Modern   Cryptography

5

40

Computer   Graphics and visualization

6

40

Data   Ming and Machine Learning

7

40

Optional

Reading   & Drawing of Engineering Drawing

2

32

Computer   Algorithm

3

32

Principles   of Computer Composition

4

36

Introduction   to Technologies in Smart City

5

24

Pattern   Recognition

5

32

Digital   Image Processing

6

40

Computer   Networks and Security

6

40

Specialty   English

6

24

Document   Retrieval of Science and Technology

6

16

Software   Engineering

6

32


Operations Research and Cybernetics


Course Type

Course Attribute

Course Title

Semester

Total Class Hours


Professional  Courses


Compulsory

Functional   analysis

1

64

Numerical   methods

1

48

Introduction   of algebras

1

48

Optional

Fundamentals of Biomathematics

2

48

Qualitative   theory of ordinary differential equations

1

48

The   theory of stability

2

48

Viscoelastic   hydrodynamics

1

48

Heat   and mass transfer

2

48

Optimization   method

2

48

Computing   technology and algorithmic language

2

48

Machine   learning

1

48

Deep   learning and its applications

1

48

Sparse   Representation and Image Processing

2

48

Linear   system theory

1

48

Advanced   mathematical statistics

1

48

Introduction   to linear models

2

48

Deep   learning and its applications

1

48

Advanced   econometrics

2

48

Statistics   with Stata

1

48

Algebraic   groups and their representations

1

48

Lie   algebras and their representation theory

2

48




Applied Statistics


Course Type

Course Attribute

Course Title

Semester

Total Class Hours


Professional  Courses


Compulsory

Advanced   mathematical statistics

1

48

Regression   analysis

1

48

Statistical   software and data analysis

1

48

Optional

Fundamentals   of Biomathematics

2

48

Qualitative theory of ordinary differential   equations

1

48

The   theory of stability

2

48

Optimization   method

2

48

Machine   learning

1

48

Deep   learning and its applications

1

48

Sparse   Representation and Image Processing

2

48

Introduction   to linear models

2

48

Advanced   econometrics

2

48

Statistics   with Stata

2

48

Deep   learning and its applications

1

48