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 | 
 | 
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   | CS05077 | CIRCUIT ANALYSIS (INCLUDING CIRCUIT   EXPERIMENT) | 3 | 
 | 
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   | CS05014 | EMBEDDED INTERNET OF THINGS SYSTEM | 3 | 
 | 
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   | CS05078 | COMPUTER NETWORK SYSTEM STRUCTURE | 4 | 
 | 
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   | 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 | 
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   | 
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   | CS06153 | IOT SYSTEM DESIGN | 3 | Embedded System   Concentration | 
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   | CS06154 | EMBEDDED DATABASE SYSTEM | 3 | 
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   | CS06168 | RECONFIGURABLE COMPUTING TECHNOLOGY | 3 | 
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   | CS06169 | MODERN EMBEDDED SYSTEM DESIGN | 3 | 
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   | CS05007 | INTERNET OF THINGS SYSTEM STRUCTURE | 3 | System Structure   Concentration | 
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   | CS06157 | SOC DESIGN AND IMPLEMENTATION | 3 | 
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   | CS06158 | MICROPROCESSOR DESIGN (INCLUDING   "MICROPROCESSOR DESIGN EXPERIMENT") | 3 | 
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   | CS06170 | VLSI COMPUTER AIDED DESIGN | 3 | 
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   | CS06160 | COMBINATION OF OPTIMIZATION THEORY AND   ALGORITHM | 3 | Intelligent   System Concentration | 
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   | CS06161 | DIGITAL IMAGE PROCESSING | 3 | 
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   | CS06171 | MACHINE LEARNING AND BIG DATA ANALYSIS | 3 | 
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   | CS06172 | INTELLIGENT GRAPHICS ALGORITHM   (ENGLISH) | 3 | 
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   | 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 | 
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   | CS06166 | RFID AND SENSOR PRINCIPLE | 3 | 
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   | 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 |