正文
UNDERGRADUATE STUDY
Computer Science and Technology

Training Program for Computer Science and Technology Undergraduates Version 2015

TRAINING GOALS

Have a solid foundation of science and engineering, solid professional knowledge and skills, practical applications skills, systems analysis and design ability, capacity to become an innovator in the field of computer science; basic literacy in academic research sufficient to continue to postgraduate education; humanistic literacy, knowledge of professional ethics and social responsibility;

good communication and coordination skills, teamwork, interdisciplinary collaboration skill as well as the international skill, in order to cultivate the future success for industry or academic and even management.

REQUIREMENTS

Undergraduate graduates majoring in Computer Science and Technology must meet the following requirements:

1 Engineering Knowledge: master mathematics, natural science, engineering and computer science knowledge to solve complex engineering problems of computer system.

2 Problem Analysis: analysis based on the basic principles, using applied mathematics, natural sciences and engineering science to obtain valid conclusions for complex engineering problems in computer systems.

3 Design / Develop Solutions: able to design solutions for the engineering of complex computer systems, meeting the specific requirements of computer systems, components or processes; can embody a sense of innovation in design; consider the social, health, security, legal, cultural and environmental factors.

4 Research: Able to complex engineering problems using scientific methods, including experimental design, analysis and interpretation of data, and derive rational conclusions.

5 Using Modern Tools: be able to address complex computer systems engineering questions and development tasks by selecting and employing appropriate technologies, resources, and tools, including modeling and prediction techniques while also understanding of the limitations of such techniques.

6 Engineering and Society: be able to use engineering related background knowledge to do rational analysis, computer engineering and computer systems evaluation for engineering problems implementing social schemes, health, safety, legal and culturally oriented programs, with an understanding and perspective on related responsibilities.

7 Environment and Sustainable Development: to understand and evaluate engineering practices for complex computer systems engineering problems related to the environment, and understand sustainable development.

8 Occupation Specifications: have some humanistic and social science literacy, awareness of social responsibility, and abide by standards of professional ethics to carry out work responsibly.

9 Individuals and Team: can take responsibility as an individual in a multidisciplinary context, or as a team member taking the role of a responsible person.

10 Communication: have the ability to effectively communicate and exchange ideas about complex computer system engineering problems with industry peers and the public, including report writing and document design, statement making, clarity in expression and making authoritative responses. Also, have international sensitivity so as to be capable of communication in a cross-cultural context.

11 Project Management: understand and use decision making methods for project management; use economic principles in a multidisciplinary environment.

12 Independent Learning & Lifelong Learning: have the consciousness of lifelong learning and continuous learning and have the ability to adapt to technology and social development.

TRAINING CHARACTERISTICS

This major is categorized by the China Ministry of Education as a Computing Science training program. The university’s implementation of this program emphasizes core theoretical foundations and specialties, covering computing science, data science, computer systems, system software, and related trends.

LENGTH OF SCHOOLING, BASIC REQUIREMENTS FOR GRADUATION AND DEGREE GRANTING

1 Undergraduate basic educational system normally takes 4 years, with flexible learning time of 3-6 years, in accordance with the credit management system.

2 Students majoring in computer science and technology graduate with at least 165 credits, including various types of courses and procedure requirements of credits. Credits required are listed in the following table:

Curriculum Category

General Required

Subject Core

College Core

Major Core

Major Elective

General Elective

Focus Practice

Total

Credits

24

24

27

20

29

8

33

165

3 The students who complete the training program consisting of required courses, elective courses and related courses, achieve the required minimum graduation marks, and complete the courses required with qualified ethics, intellectual and health. Meet the degree granting requirements of the relevant documents will be awarded the degree of Bachelor of Engineering.

THE CURRICULUM AND CREDIT DISTRIBUTION

(a) general education curriculum (compulsory 24 + (6) elective credits + 8 credits)

General education curriculum includes two parts. The compulsory and electives. Electives are in accordance with the Hunan University general elective courses (Quality Education) program. The general compulsory courses are as follows:

Course Code

Course Name

Credit

Remarks

GE01101

AN INTRODUCTION TO MAO ZEDONG THOUGHT AND   THEORETICAL SYSTEM OF CHINESE CHARACTERISTICS SOCIALISM

3+3


GE01039

ETHICS   EDUCATION AND LAW FUNDAMENTALS

1.5+(1.5)


GE01100

SITUATION   AND POLICY

0.5+(1.5)


GE01102

OUTLINE   OF MODERN CHINESE HISTORY

2


GE01103

THE   BASIC PRINCIPLE OF THE MARX DOCTRINE (ONE)

2


GE01104

THE   BASIC PRINCIPLE OF THE MARX DOCTRINE (TWO)

2


GE01012-15

COLLEGE   ENGLISH

8


GE01107(-13)

PSYCHOLOGICAL   QUALITY AND CAREER DEVELOPMENT

1


GE01089   (-92)

PHYSICAL   EDUCATION

4


(b) subject core courses (24 credits)

Course Code

Course Name

Credit

Remarks



GE03025

HIGHER   MATHEMATICS A (1)

5



GE03025

HIGHER   MATHEMATICS A (2)

5



GE03003

LINEAR   ALGEBRA A

3



GE03004

PROBABILITY   THEORY AND MATHEMATICAL STATISTICS A

3



GE03005

GENERAL   PHYSICS A (1)

3



GE03006

GENERAL   PHYSICS A (2)

3



GE03007

GENERAL   PHYSICS EXPERIMENT A (1)

1



GE03008

GENERAL   PHYSICS EXPERIMENT A (2)

1



(c) college core courses (27 credits)

Course Code

Course Name

Credit

Remarks



CS04022

ADVANCED   PROGRAM DESIGN

4



CS04001

DISCRETE   MATHEMATICS

4



CS04002

DATA   STRUCTURE

4



CS05054

DIGITAL   CIRCUITS AND LOGIC DESIGN

4



CS04023

COMPUTER   SYSTEM

4



CS05052

DESIGN   AND ANALYSIS OF ALGORITHMS

4



CS04021

PROGRAMMING   STUDIO

2



CS04024

DIGITAL   EXPERIMENT SYSTEM

1



(d) major core courses (20 credits)

Course Code

Course Name

Credit

Remarks



CS05073

INTRODUCTION   TO ARTIFICIAL INTELLIGENCE

4



CS04007

OPERATING   SYSTEM

4

INCLUDING   "THE OPERATING SYSTEM EXPERIMENT"


CS05074

COMPUTER   NETWORK

4

INCLUDING   "THE NETWORK SYSTEM EXPERIMENT"


CS05075

COMPILATION   PRINCIPLE

4

INCLUDING   "THE COMPILER SYSTEM EXPERIMENT"


CS05076

PRINCIPLES   OF DATABASE

4

INCLUDING   "THE DATABASE SYSTEM EXPERIMENT"


(e) major elective courses (29 credits)

(1) major limited elective courses (8 credits)

The students must take 2 courses from the following, in order to strengthen the major and professional foundation, a total of 8 credits.

Course   Code

Course   Name

Credit

Remarks



CS06137

SOFTWARE ENGINEERING

4



CS06138

INTRODUCTION TO THE   THEORY OF COMPUTATION

4



CS06139

THE INTRODUCTION OF   HIGH PERFORMANCE COMPUTING

4



(2) Major all-you-can-choose elective courses (21 credits)

Major elective courses using a combination of concentration and optional courses, students first selected all the courses of one concentration, and then from other concentrations (we encourage cross-concentration elective courses), in total choose seven courses with a total of 21 credits. Courses offer are as follows:

Course   Code

Course   Name

Credit

Remarks



CS06140

COMPUTING METHOD

3

computational   science concentration


CS06141

THEORETICAL   CALCULATION

3


CS06142

CLOUD COMPUTING   TECHNOLOGY

3


CS06143

SOCIAL NETWORK   ANALYSIS

3


CS06144

MACHINE LEARNING

3

data   science concentration


CS06145

INTELLIGENT DATA   PROCESSING

3


CS06146

VISUALIZATION IN   SCIENTIFIC COMPUTING

3


CS06071

DATA MINING

3


CS06147

ROUTING AND SWITCHING   TECHNOLOGY

3

computer   system concentration


CS06148

DISTRIBUTED AND CLOUD   COMPUTING SYSTEM

3


CS06149

COMPUTER VISION SYSTEM

3


CS06150

SOFTWARE DESIGN   PATTERNS

3

software   system concentration


CS06151

SENIOR DATABASE DESIGN

3


Note:

1) We encourage students take major or cross-major elective courses, credits should be not less than 50% of “should have” credits.

2) During the period of study, if the student participated in academic competitions or published academic papers and the college identified (see < College of Computer Science and Electrical Engineering, Hunan University Academic Research Classification Guidance and Technology Innovation Achievements Guidance >), you may apply to substitute two elective credits.

(f) centralized practice (33 credits)

Course Code

Course Name

Credit

Remarks

GE01040

MILITARY TRAINING, MILITARY   AND DEFENSE (INCLUDING MILITARY THEORY)

0


CS10018

ENTRANCE EDUCATION AND MAJOR   INTRODUCTION

0


GE09030

CHINESE WRITING TRAINING

1

Year   One Summer Semester

GE09028

ENGLISH WRITING TRAINING

1

GE09001

PROGRAM DESIGN

2

CS10019

ELECTRONICS SYSTEM DESIGN

2

Year   Two Summer Semester

CS10020

SOFTWARE DESIGN

2

CS10021(22)

PROFESSIONAL DESIGN (A   SELECTION FROM THE COLLEGE   LIST):        

4

Year   Three Summer Semester

CS10023

GRADUATION PRACTICE

2

The   eighth Semester

CS10034

EXPERIMENTAL COMPUTER SYSTEM   PRINCIPLE

2


CS10035

SWITCH / ROUTER EXPERIMENT

1


CS10038

SOFTWARE ENGINEERING   DOCUMENT WRITING

1


CS10036

THE NEW TECHNOLOGY OF   PROGRAMMING PRACTICE

1


CS10026

THE GRADUATION DESIGN   (INCLUDING SUPERVISOR TRAINING COURSE)

14

Include   2 credits of supervisor training course. the supervisor training course is an   "tutorial system" for a specific task, this course must be to   project-oriented with the CDIO mode (Conceive, Design, Implement, Operate), at   the same time teaching with discussion mode. each semester guide 3-6 students   per session. the content of this course includes: undergraduate academic   guidance, the first grade and second grade summer semester curriculum design   supervision, the third grade summer semester curriculum design guidance, the fourth   year undergraduate students graduation practice and graduation design guidance.

THE CURRICULUM SCHEDULE OF RESPONSIBLE TEACHERS

Serial Number

Name

Title

Education

Specialty

Major courses (major core, major   elective, general elective)

1

LUO Jiawei

PROFESSOR

PhD

Data mining, biological information   processing

Data structure, data mining

2

LI Kenli

PROFESSOR

PhD

Parallel and distributed processing,   biological computer, combination optimization

The introduction of high performance   computing

3

WANG Dong

PROFESSOR

PhD

Wireless mobile networks, vehicular networks,   network performance testing etc.

Computer network

4

CHEN Hao

PROFESSOR

PhD

Parallel distributed system

Operating system, distributed system and   cloud computing

5

XIAO Degui

ASSOCIATE PROFESSOR

PhD

Image / video processing, computer  vision

Operating system, computer vision system

6

XU Ying

ASSOCIATE PROFESSOR

PhD

Optimization algorithm

Introduction to artificial intelligence,   intelligent data processing

7

ZHU Ningbo

ASSOCIATE PROFESSOR

PhD

Digital image processing

Introduction to artificial intelligence,   intelligent data processing

8

REN Xiaoxi

ASSOCIATE PROFESSOR

PhD

Embedded system

Compilation principle

9

FAN Nianbai

ASSOCIATE PROFESSOR

PhD

Formal methods, Data mining

Introduction to the theory of computation,   calculation method

10

WU Hao

ASSOCIATE PROFESSOR

PhD

Calculation Theory

Introduction to the theory of computation, calculation   theory

11

WANG Yongheng

ASSOCIATE PROFESSOR

PhD

Database and data mining

The principle of the database, advanced   database technology

12

TANG Zhuo

ASSOCIATE PROFESSOR

PhD

Cloud computing and big data parallel   processing

The introduction of high performance   computing, cloud computing technology

13

YIN Shu

ASSOCIATE PROFESSOR

PhD

Parallel storage system, energy saving   reliability analysis

Algorithms analysis and design

14

LI Rui

ASSOCIATE PROFESSOR

PhD

Computer network security, cloud computing,   data privacy and integrity protection research

Data structure, software design

15

JIANG Wenjun

LECTURER

PhD

Social network

Algorithms analysis and design, social   network analysis

16

LIU Yufeng

LECTURER

PhD

Intelligent information retrieval, mobile   application development

Data structure, software design

17

XIA Yan

LECTURER

PhD

Wireless networks, social networks and big   data

Data structure, machine learning

18

LI Xiaohong

LECTURER

PhD

Trusted system and network

Data structure, software design

19

YUAN Xiaofang

LECTURER

PhD

Network measurement and network technology in   the future

Computer network, routing and switching   technology

20

WU Fan

LECTURER

Master

Parallel computing

Data structure, scientific computing visualization  

21

YANG Xiaobo

LECTURER

Master

Software theory, information security

Compiler principle, compiler system design   and realization

22

WANG Weisheng

ENGINEER

Master

Image analysis and processing

Software engineering, software design   patterns

MAJOR RESPONSIBLE PROFESSOR

Serial Number

Name

Title

Education

Specialty

Major courses (major core, major   elective, general elective)

1

CHEN Hao

PROFESSOR

PhD

Parallel distributed system

Operating system, distributed and cloud   computing system

 

关闭