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Science

School of Science was founded in 2008 and developed from the Foundation Department set up in 1958. At present, there are two undergraduate majors, which are Information and Computing Science (Big Data Application Direction) and Electronic Information Science and Technology. There are the First-level Discipline of Mathematics for Master’s Degree Program and the Applied Statistics for Master’s Professional Degree Program, covering five secondary discipline of basic mathematics, applied mathematics, computational mathematics, probability theory and mathematical statistics, operational research and cybernetics.

At the moment, the school has 86 teaching staff, of which 50% are teachers with senior titles and 58% are teachers with doctoral degrees. It is home to 1 Beijing Key Laboratory, 2 Beijing Excellent Teaching Teams, 1 Beijing Academic Innovation Team and 1 Scientific Research Innovation Team supported by the central government, 5 Beijing Education and Teaching Achievement Awards, 2 Beijing Excellent Courses, 1 Beijing Excellent Teaching Materials, 1 National Science and Technology Progress Award, 4 provincial and ministerial science and technology awards, and presided over 30 national scientific research projects. The school has successfully held "Sixth International Conference on Biomathematics" and "Symposium on Data Modeling and Mining in Smart City Management", etc. Teachers have long term cooperation and exchange with scholars from the United States, Britain, Japan and other countries.

School of Science undertakes the teaching tasks of mathematics, mechanics, physics, drawing and other public basic courses in the whole school, and makes unremitting teaching reform to continuously improve the teaching quality. At the same time, teachers organize the students to participate in COMAP's Mathematical Contest in Modeling, China Undergraduate Mathematical Contest in Modeling, China Undergraduate Advanced Mapping Technology and Product Information Modeling Innovation Competition, and University Physics Competition in Beijing, etc. Students have won more than 100 awards every year, which cultivate their innovative and practical ability.

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Faculty

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