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UNDERGRADUATE STUDY
Intelligence Science and Technology

Training Program for Intelligence 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 Intelligence 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

The major in the Ministry of education undergraduate professional directory belongs to computer science specialty. Our training program uses computer science engineering education accreditation standards as a criterion, combined with our school’s actual development. The training plan reinforces the computer, network and electronic subject core based knowledge, pays attention to intelligent information systems engineering co-op ability, cultivates scientific research and technical innovation and quality, strengthens the interdisciplinary and international exchange characteristics, focuses on the embedded system and SOC design, pattern recognition and machine perception, smart control and robot, internet of things and intelligent information processing, and many more professional concentrations.

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 intelligence 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

29

18

32

8

30

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 (23 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

All English Lectures


CS04021

PROGRAMMING STUDIO

2



CS04024

DIGITAL SYSTEM EXPERIMENT

1



CS04025

COMPUTER SYSTEM PRINCIPLE EXPERIMENT

2



(d) major core courses (18 credits)

Course Code

Course Name

Credit

Remarks



CS04007

OPERATING SYSTEMS PRINCIPLES

4



CS05077

CIRCUIT ANALYSIS (INCLUDING CIRCUIT   EXPERIMENT)

3



CS05014

EMBEDDED COMPUTER SYSTEM

3



CS05078

COMPUTER NETWORK SYSTEM STRUCTURE

4



CS05079

OPERATING SYSTEM EXPERIMENT

2



CS05080

NETWORK PRINCIPLE AND SYSTEM EXPERIMENT

2



(e) major elective courses (32 credits)

(1) major limited elective courses (11 credits)

The students must take 3 courses from the following in order to strengthen the major and professional foundation for a total of 11 credits.

Course Code

Course Name

Credit

Remarks



CS06152

MACHINE INTELLIGENCE

4



CS06193

THE FOUNDATION OF INTELLIGENT CONTROL   (INCLUDING "THE SYSTEM CONTROL EXPERIMENT")

4



EI04016

MICROELECTRONIC CIRCUITS (INCLUDING   "MICROELECTRONIC CIRCUIT EXPERIMENT")

3



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

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

Course Code

Course Name

Credit

Remarks



CS06153

COMPUTER SYSTEM DESIGN

3

Embedded System Concentration


CS06154

EMBEDDED DATABASE SYSTEM

3


CS06155

REAL TIME COMPUTING SYSTEM DESIGN

3


CS06156

EMBEDDED OPERATING SYSTEM

3


CS05007

COMPUTER SYSTEM STRUCTURE

3

System Structure Concentration


CS06157

SOC DESIGN AND IMPLEMENTATION

3


CS06158

MICROPROCESSOR DESIGN (INCLUDING   "MICROPROCESSOR DESIGN EXPERIMENT")

3


CS06159

INTEGRATED CIRCUIT DESIGN AND TESTING

3


CS06160

COMBINATION OF OPTIMIZATION THEORY AND   ALGORITHM

3

Intelligent System Concentration

(Students of this concentration are   advised to choose "combination of optimization theory and   algorithm", "pattern recognition and machine vision” and “computer   intelligent control system” three courses)


CS06161

DIGITAL IMAGE PROCESSING

3


CS06162

PATTERN RECOGNITION AND MACHINE   RECOGNITION (ENGLISH LECTURES)

3


CS06163

COMPUTER INTELLIGENT CONTROL SYSTEM

3


CS06164

THE INTRODUCTION OF INTERNET OF THINGS

3

Internet Of Things Concentration


CS06165

INTERNET OF THINGS COMMUNICATION   TECHNOLOGY

3


CS06166

RFID AND SENSOR PRINCIPLE

3


CS06167

DISTRIBUTED COMPUTING SYSTEM

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 (30 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)

SPECIALTY   SYNTHETIC   DESIGN                

4

Year   Three Summer Semester (College designated synthetic design topics 1)

CS10023

GRADUATION   CO-OP PRACTICE

2

The Eighth   Semester

CS10033

ROBOT   SYSTEM EXPERIMENT

2

Specialized   practical course

CS10026

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 co-op 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

LI Renfa

PROFESSOR

PhD

Embedded system and CPS

Computer system

2

XU Cheng

PROFESSOR

PhD

Embedded computing

Embedded computer system, embedded system   design and implementation

3

ZHAO Huan

PROFESSOR

PhD

Intelligent information processing

Computer system

4

PENG Manman

PROFESSOR

PhD

Computer architecture

Computer composition and design

5

LI Zhiyong

PROFESSOR

PhD

Intelligent information processing

Machine intelligence, machine learning   and big data analysis

6

YANG Kehua

ASSOCIATE   PROFESSOR

PhD

Embedded computing

Computer system, embedded database   system

7

TAN Huailiang

ASSOCIATE   PROFESSOR

PhD

Distributed computing

Embedded computer system,   modern computer system design

8

JIANG Bin

ASSOCIATE   PROFESSOR

PhD

Big data analysis

Algorithms analysis and design

9

ZHANG Yingjie

ASSOCIATE   PROFESSOR

PhD

Intelligent control

The foundation of intelligent control,   computer intelligent control system

10

AN Jiyao

ASSOCIATE   PROFESSOR

PhD

Intelligent control and CPS

Algorithms analysis and design, combination   optimization theory and algorithm

11

LI Rui

LECTURER

PhD

Real-time system

Operating system

12

LIU Yan

LECTURER

PhD

CPU design

Computer system, reconfigurable   computing technology

13

HUANG Lida

LECTURER

Master

Real-time calculation

Computer system, real-time computing   system design

14

QU Weilan

LECTURER

Master

Embedded software

Operating system, embedded operating   system

15

YUAN Wendan

LECTURER

PhD

Digital system design

Microelectronic circuits, digital   system design practice

16

XIAO Yaoqiang

LECTURER

PhD

Robot Perception

The foundation of signal processing, digital   image processing

17

XIAO Zheng

LECTURER

PhD

Robot and parallel computing

The foundation of intelligent control,   intelligent robot software design and implementation

MAJOR RESPONSIBLE PROFESSOR

Serial Number

Name

Title

Education

Specialty

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

1

LI Zhiyong

PROFESSOR

PhD

Intelligent information processing

Machine intelligence, machine learning   and big data analysis


 

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