Information and Computational Sciences
Course Type |
Course Attribute |
Course Title |
Semester |
Total Class Hours |
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 |
||
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 |
||
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 |
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 |
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 |