(1) Educational Objectives

1) A firm grasp of basic theories and systematic expertise knowledge on discipline, and master a foreign language so as to be proficient in reading and preliminary professional writing;

2) Develop rigorous and realistic scientific attitude and style, to have realistic and innovative spirit and good research ethics, with independent scientific research ability in the discipline;

3) Competence to the profession or related profession of teaching, research and engineering work and technology management.

(2) Educational Content

Total credits for master candidates are required to be greater than 36. Among them, the credits of the degree required courses should be greater than 24, including 6 credits of general education and 18 credits of major program. Research requirements should be greater than 12 credits.

Professional course practice will be carried out according to the specialized learned courses. The objective is to deepen the perceptual knowledge of the theory of professional courses in practice, truly combining theory with practice. The masters should complete the professional course practice, and submit a report.

Professional training and internship are to do practice training towards a computer technology research direction, and achieve the purpose of better understanding the connotation of the profession. The masters should complete the professional training and internship, and submit a report.

Professional course practice, training and internship can be carried out in off-campus practice bases, cooperative enterprises or the school specialized laboratories.

(3) Educational Type

Graduate Students adopt a flexible system based on three years of schooling.

(4) Courses

Detailed requirements of the credits and courses are as follows.

Total Credits

≥36 Credits

Course Credits

≥24 Credits

 

Public University Level Courses≥5 Credits

Public Elective Course≥1 Credits

Basic Courses in Discipline≥18 Credits

Research Credits

≥12 Credits

Literature Reading and Research Proposal  1  Credits

Participate in open academic report  1 Credits

Dissertation  10 Credits

 

 

Category

Course Title

Hours

Credits

Semester

Public University Level Courses

Dialectics of Nature

18

1

Spring/Fall

Socialist Theory with Chinese Characteristics

36

2

Spring/Fall

English

32

2

Spring/Fall

Social Translation/science & engineering

 

1

 

Courses in First-level 

Discipline

Matrix Theory

48

3

Fall

Stochastic Process

48

3

Fall

Advanced Computer Architecture*

32

2

Fall

Modern Computer Networks *

32

2

Fall

Parallel Processing*

32

2

Fall

Theory and Technology of Modern Data Management *

32

2

Fall

Multimedia*

32

2

Fall

Courses in Second-level Discipline

Theory and Technology of Information Storage*

32

2

Fall

Analysis and Performance of Computer System (Training in English)

32

2

Fall

Software Engineering Methodology

32

2

Fall

Artificial Intelligence*

32

2

Fall

The Basic Theory of Computing*

32

2

Fall

Cryptography

32

2

Fall

Professional Elective Courses

Computer System Design

32

2

Fall

Operating System analysis & Design

32

2

Fall

Mobile Network and Pervasive Computing

32

2

Fall

Streaming Media Technology

32

2

Fall

Algorithm of Modern Digital Signal Processing (Training in English)

32

2

Fall

Design Method of SOC(Training in English)

32

2

Fall

Multicore Operating System

32

2

Fall

Solution and Optimization Combinatorial Problems*

24

1.5

Spring

Data Compression(Training in English)*

16

1

Fall

Heuristic Optimization*

24

1.5

Fall

* International First-level Courses