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Digital Media Technology

Training Program for Digital Media Technology

UndergraduatesVersion 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 Digital Media 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 basis of this major is computer technology and application in the field of software engineering, for computer and Internet content training with certain artistic and humanistic and scientific literacy of an software engineer. We focus on digital media engineering as a practice ability, at the same time the interdisciplinary and international exchange characteristics. We emphasize the focus of digital image processing, computer graphics and virtual reality, human-computer interaction and computer vision and manycross concentration characteristics.

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 indigital media technologygraduate 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

28

13

35

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 (28 credits)

Course Code

Course Name

Credit

Remarks

CS04022

ADVANCED PROGRAM DESIGN

4


CS04001

DISCRETE MATHEMATICS

4


CS05054

DIGITAL CIRCUITS AND LOGIC DESIGN

4


CS04023

COMPUTER SYSTEM

4


CS04010

DATA STRUCTURE

4


CS04015

OPERATING SYSTEM

4


CS04021

PROGRAMMING STUDIO

2


CS04024

DIGITAL SYSTEM EXPERIMENT

1


CS04025

COMPUTER SYSTEM PRINCIPLE EXPERIMENT

1


(d) major core courses (13 credits)

Course Code

Course Name

Credit

Remarks

CS05061

ALGORITHMS ANALYSIS AND DESIGN

4


CS05062

DATABASE SYSTEM

4

English Lectures

CS05063

COMPUTER NETWORK

4


CS05064

DIGITAL MEDIA SYSTEM EXPERIMENT

1


(e) major elective courses (29 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

CS06114

DIGITAL IMAGE PROCESSING

4


CS06115

COMPUTER GRAPHICS

4


CS05060

HUMAN-COMPUTER INTERACTION TECHNOLOGY

3


(2) major all-you-can-choose elective courses (24 credits)

Major elective courses using a combination of concentration and optional courses, students first select all the courses from digital media concentration, and then from the other concentration (we encourage cross-concentration elective courses), in total choosing eight courses with a total of 24 credits. Courses offer are as follows:

Course Code

Course Name

Credit

Remarks

CS06116

VIRTUAL REALITY

3


CS06117

DIGITAL ENTERTAINMENT DESIGN AND PROGRAMMING

3

Digital Media Concentration (complete all)

(The "INTRODUCTION TO COMPUTER VISION" are All English Lectures)

CS06118

COMPUTER ANIMATION

3

CS06119

INTRODUCTION TO COMPUTER VISION

3

CS06120

3D ENGINE DESIGN TECHNOLOGY

3

CS06121

BIOMETRIC IDENTIFICATION

3

CS06122

THE PRINCIPLE AND METHOD OF INFORMATION VISUALIZATION

3

CS06189

MACHINE LEARNING

3

Information Systems Concentration The "MACHINE LEARNING" and the "DATA MINING" are prerequisite courses for the "BIOINFORMATICS" course)

CS06124

DATA MINING

3

CS06065

BIOINFORMATICS

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)

SPECIALTY SYNTHETIC DESIGN

3D RENDERING SYSTEM DESIGN AND IMPLEMENTATION

4

Year Three Summer Semester

CS10023

GRADUATION CO-OP PRACTICE

2

The Eighth Semester

CS10024

DATABASE SYSTEM DESIGN

2


CS10025

GAME DESIGN

3

Specialized practical course

CS10026

GRADUATION DESIGN (THESIS)

(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

LIAO Bo

PROFESSOR

PhD

Biocomputing

Discrete mathematics

2

GAO Chunming

PROFESSOR

PhD

Computer animation

Virtual reality and digital entertainment, computer animation

3

WANG Shulin

PROFESSOR

PhD

Bioinformatics

Bioinformatics

4

CHEN Xiangtao

ASSOCIATE PROFESSOR

PhD

Information security

Data mining

5

PENG Li

ASSOCIATE PROFESSOR

PhD

Security management

Database system (English)

6

LI Shiying

ASSOCIATE PROFESSOR

PhD

Video image processing, visual computing

Digital image processing, Introduction to computer vision (English)

7

YANG Sheng

ASSOCIATE PROFESSOR

PhD

Machine learning

Human-computer interaction technology, digital entertainment design and programming

8

TAN Guanghua

ASSISTANT PROFESSOR

PhD

Computer graphics

Computer graphics, 3D engine design technology

9

LIN Hongli

ASSISTANT PROFESSOR

PhD

Digital image processing

Digital image processing, biological feature identification

10

PAN Huawei

ASSISTANT PROFESSOR

PhD

Computer graphics

Computer graphics, information visualization principle and method

11

XIAO Yi

ASSOCIATE PROFESSOR

PhD

Computer graphics

Human-computer interaction technology, design and development of graphics rendering system

12

XIAO Sheng

ASSISTANT PROFESSOR

PhD

Information security, security technology

computer network

13

CAO Zhi

ASSISTANT PROFESSOR

PhD

Information systems, biocomputing

Discrete mathematics, machine learning

14

ZHANG Wei

ASSISTANT PROFESSOR

PhD

Information system

Algorithm design and analysis

MAJOR RESPONSIBLE PROFESSOR

Serial Number

Name

Title

Education

Specialty

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

1

GAO Chunming

PROFESSOR

PhD

Computer animation

Virtual reality and digital entertainment, computer animation .

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