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UNDERGRADUATE STUDY
Internet of Things Engineering

Training Program for Internet of Things Engineering

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 Internet of Things Engineering 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 mobile computing, computer network communication, wireless sensor, 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 internet of things engineering 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 (29 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

INTERNET OF THINGS SYSTEM

4



CS05052

ALGORITHMS ANALYSIS AND DESIGN

4

All English Lectures


CS04021

PROGRAMMING STUDIO

2



CS04024

DIGITAL SYSTEM EXPERIMENT

1



CS04025

INTERNET OF THINGS SYSTEM PRINCIPLE   EXPERIMENT

2



(d) major core courses (18 credits)

Course Code

Course Name

Credit

Remarks



CS04007

OPERATING SYSTEMS PRINCIPLE

4



CS05077

CIRCUIT ANALYSIS (INCLUDING CIRCUIT   EXPERIMENT)

3



CS05014

EMBEDDED INTERNET OF THINGS 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



CS06168

MATHEMATICAL BASIS OF INFORMATION AND   COMMUNICATION

4



CS06169

SIGNAL PROCESSING FOUNDATION (INCLUDING   "SIGNAL PROCESSING EXPERIMENT")

3



CS06170

WIRELESS NETWORKS AND MOBILE 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 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

IOT SYSTEM DESIGN

3

Embedded System   Concentration


CS06154

EMBEDDED DATABASE SYSTEM

3


CS06168

RECONFIGURABLE COMPUTING TECHNOLOGY

3


CS06169

MODERN EMBEDDED SYSTEM DESIGN

3


CS05007

INTERNET OF THINGS SYSTEM STRUCTURE

3

System Structure   Concentration


CS06157

SOC DESIGN AND IMPLEMENTATION

3


CS06158

MICROPROCESSOR DESIGN (INCLUDING   "MICROPROCESSOR DESIGN EXPERIMENT")

3


CS06170

VLSI COMPUTER AIDED DESIGN

3


CS06160

COMBINATION OF OPTIMIZATION THEORY AND   ALGORITHM

3

Intelligent   System Concentration


CS06161

DIGITAL IMAGE PROCESSING

3


CS06171

MACHINE LEARNING AND BIG DATA ANALYSIS

3


CS06172

INTELLIGENT GRAPHICS ALGORITHM   (ENGLISH)

3


CS06164

INTRODUCTION TO INTERNET OF THINGS

3

Internet Of   Things Concentration

(Students of   this concentration are advised to choose "introduction to internet of   things ", "RFID and sensor principle” and “wireless sensor networks”   three courses.)


CS06165

INTERNET OF THINGS COMMUNICATION   TECHNOLOGY

3


CS06166

RFID AND SENSOR PRINCIPLE

3


CS06176

WIRELESS SENSOR NETWORKS

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 IOT 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

CS10032

INTERNET   OF THINGS 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

Internet of things   system

2

KUANG   Jishun

PROFESSOR

PhD

Integrated circuit testing

Digital logic, SOC   design and implementation

3

ZHAO Huan

PROFESSOR

PhD

intelligent information processing

Internet of things   system

4

PENG Manman

PROFESSOR

PhD

Computer architecture

Computer composition   and design

5

LUO Juan

PROFESSOR

PhD

Internet of things and cloud computing

Internet of things introduction,   internet of things engineering design and implementation

6

WU Qiang

ASSOCIATE   PROFESSOR

PhD

Advanced computing

Computer composition   and design, internet of things architecture

7

YOU   Zhiqiang

ASSOCIATE   PROFESSOR

PhD

Integrated circuit design

Digital logic

9

YANG Lei

ASSOCIATE   PROFESSOR

PhD

Distributed computing

Computer network system, distributed   computing system

10

WANG Hanwu

ASSOCIATE   PROFESSOR

PhD

Wireless communication technology

Wireless networks and mobile computing

11

LI Rui

LECTURER

PhD

Real-time system

Operating system

12

LIU Yan

LECTURER

PhD

CPU design

Internet of things system,   reconfigurable computing technology

13

HUANG Lida

LECTURER

Master

Real-time calculation

Internet of things system,  real-time computing system design

14

YUAN Wendan

LECTURER

PhD

Digital system design

Microelectronic circuits,   electronic system design

15

LING   Chunqing

LECTURER

Master

Low power system design

Digital logic,   electronic system design

16

XIAO Ling

LECTURER

PhD

Wearable computing

Wireless networks and mobile computing,   internet of things communication technology

17

FU Bin

LECTURER

PhD

Wireless communications and network

Introduction of IOT, RFID and sensor   principle

MAJOR RESPONSIBLE PROFESSOR

Serial Number

Name

Title

Education

Specialty

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

1

LUO Juan

PROFESSOR

PhD

Internet of things and cloud computing

Internet of things introduction,   internet of things engineering design and implementation


 

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