I. Training Objectives and Specifications
a) Training Objectives
The major aims to cultivate students into those who can meet the demands of the new IT era. Students, with a wide vision and an all-round development in their moral, intellectual and physical aspects, are nurtured to be such specialized talents in computer science and technology as researchers with innovative power, engineers with designing talent and managers with organizational competence.
b) Training Specifications
(1) Ability requirements
Ability to acquire knowledge
Ability to apply knowledge
Ability to innovate
(2) Knowledge requirements
Foreign languages, literature search, technical writing, etc.
Knowledge of humanities and social sciences
Knowledge of natural sciences: mathematics, physics, chemistry, biology, etc.
Technical basics: electrical electronics, discrete mathematics, programming, etc.
Expertise: algorithms and complexity, computer organization and architecture, operating systems, network and computing, programming languages, human-computer interaction, graphics and visual computing, intelligent systems, information systems, software engineering and numerical scientific, etc.
Knowledge of economic management: economics, management, etc.
II. The Curriculum System
1. General Education Courses
General education curriculum consists of three parts, namely, public courses, general education core courses and general education practices. A total of 48 credits should be earned: 25 credits in Public courses including ideological and political courses, English and PE; 21 credits in general education core courses including 8 credits in humanities, 4 credits in social sciences, and 9 credits in natural sciences and engineering technology; 2 credits in general education practices.
2. Professional Education Courses
For discipline-based general electives, it is recommended to take Computer Organization and Architecture, Data Structure A, and Computability Theory.
For specialized electives, (A)-marked courses are required.
3. Practical Education Courses
For restricted electives on specialized science and technology innovation, it is recommended to take Information Retrieval Technology and Practice, Large- scale Data Processing Architecture and Platform Experiment, Virtualization and Green Computing, Automatic Processing Technology for Programming Language, Embedded Systems Design for Mobile Platform.
Elective courses on professional design are strongly recommended.
4. Individualized Education Courses
Individualized education courses are electives at students’ choice and 20 credits are to be finished during their study. All credits count in this curriculum but those for the above three modules as in the major’s training program (i.e. modules of general education, professional education and practical education). To illustrate, credits for Individualized Education Courses include credits of minor courses and elective courses, excess credits of restricted electives, credits of professional electives with no credit requirements provided by some other majors, credits of College Basic English (3) and (4), and credits from the recognized extracurricular competitions and practical innovation projects such as PRP.
III. Academic System, Graduation Requirements and Degree
The flexible academic system is applied in Computer Science and Technology and lasts 4 to 6 years. Early graduation is allowed for students who have obtained 207 credits as required. Extended schooling within six years is also permissible. According to “Regulations Concerning Academic Degrees in the People’s Republic of China”, BE Degree will be granted to students who have completed the curricula and teaching practice as required in the major training program and obtained the required credits with qualified moral, intellectual and physical examination results.
IV. The Curriculum List
Language:C: Teach in Chinese; E: Teach in English; B: Bilingual
Course No. |
Course Title (in English) |
Course Title (in Chinese) |
Credits |
Semester |
Language |
EI 102 |
Data Structures and Algorithms |
数据结构与算法 |
3 |
3 |
C |
EI 203 |
Basic Circuit Theory |
基本电路理论 |
4 |
3 |
C E |
EI 204 |
Basic Circuit Lab |
基本电路实验 |
2 |
3 |
C E |
EI 205 |
Digital Electronic Technology |
数字电子技术 |
3 |
3 |
C E |
EI 206 |
Digital Electronic Technology Lab |
数字电子技术实验 |
1.5 |
4 |
C |
EI 207 |
Analog Electronic Technology |
模拟电子技术 |
3 |
4 |
B |
EI 210 |
Signals and System |
信号与系统 |
3 |
4 |
B |
EI 223 |
Electromagnetic Field |
电磁场 |
2.5 |
4 |
C E |
EE 305 |
Principles of Microcomputer and its Interface |
微机原理与接口技术 |
3 |
4 |
B |
EI 110 |
Programming II |
程序设计 |
2 |
2 |
C E |
EI 208 |
Analog Electronics Lab |
模拟电子技术实验 |
1.5 |
5 |
C E |
EE 313 |
Principles of Microcomputer and its Interface Lab |
微机原理与接口技术实验 |
1 |
5 |
C |
EI 212 |
Principles of Automatic Control |
自动控制原理 |
2.5 |
5 |
C E |
EI 214 |
Inspect Technology |
检测技术基础 |
2 |
6 |
C |
EI 209 |
Computer Architecture |
计算机组成 |
2 |
7 |
C |
EI 224 |
Electromechanical Energy Conversion |
机电能量转换 |
2 |
7 |
C |
EI 211 |
Introductory Communication Principles |
通信原理概论 |
2 |
7 |
C E |
Major Specialty
Major Core:
Course No. |
Course Title (in English) |
Course Title (in Chinese) |
Credits |
Semester |
Language |
EI 004 |
Design and Analysis of Algorithms |
算法设计基础 |
3 |
5 |
C |
CS 307 |
Compiler Principles |
编译原理 |
3 |
6 |
C |
CS 308 |
Operating System |
操作系统 |
3 |
5 |
C E |
CS 304 |
Principles of Database System |
数据库系统原理 |
3 |
6 |
C E |
CS 202 |
Computer Organization and Architecture |
计算机组成与系统结构 |
4 |
5 |
C |
CS 339 |
Computer Network |
计算机网络 |
3 |
6 |
C |
Major Selective:
Course No. |
Course Title (in English) |
Course Title (in Chinese) |
Credits |
Semester |
Language |
CS 312 |
Economy Information |
经济信息学 |
3 |
6 |
C |
CS 315 |
Technology of .NET |
Web服务与.NET技术 |
3 |
6 |
E |
CS 332 |
Internet Information Retrieval |
基于Internet的信息获取技术 |
3 |
7 |
E |
CS 413 |
Computer Security and Cryptography |
计算机安全与密码学 |
2 |
7 |
C |
CS 418 |
Natural Language Understanding |
自然语言理解 |
2 |
7 |
C |
AM 322 |
Electronic Business |
电子商务概论 |
3 |
7 |
C |
CS 353 |
Linux Kernel |
Linux内核 |
3 |
6 |
C |
CS 490 |
Windows Advanced Operating System |
Windows高级操作系统 |
3 |
7 |
C |
CS 410 |
Artificial Intelligence |
人工智能 |
3 |
7 |
C E |
CS 337 |
Computer Graphics |
计算机图形学 |
3 |
7 |
C |
CS 324 |
Embedded Computer System |
嵌入式计算机系统 |
3 |
7 |
C |
CS 375 |
Storage Technology Foundations |
存储技术基础 |
2 |
6 |
C |
CS 426 |
Massive Data Processing |
海量数据处理技术 |
3 |
6 |
C |
CS 321 |
DB2 Concept and Application |
DB2原理及应用 |
3 |
7 |
C |
CS 340 |
Introduction to AS400 System |
AS400系统概论 |
3 |
6 |
C |
CS 372 |
Database System Design |
数据库程序设计 |
4 |
7 |
E |
SP 081 |
Bio-informatics |
生物自能与生物信息学 |
2 |
7 |
E |