Undergraduate Program for Specialty in Internet of Things Engineering 2021 Edition

发布者:葛路发布时间:2023-12-01浏览次数:11


I. Basic Information

Major: Internet of Things Engineering

Discipline Category: Engineering

Length of Schooling: 4 Years

Degree to Award: Bachelor of Engineering

 

II. Educational Objectives

We implement the party’s educational policy and adhere to moral education. The program aims to meet the major strategic needs of the country and national economic development, and to cultivate qualified builders and reliable successors of the socialist cause with all-round development of moral, intellectual, physical, aesthetic qualities and labor skills. We would foster students with the spirit of public morality and all-round capability, provide them with innovative power, global vision, teamwork and communication skills, independent and lifelong learning ability. The students will systematically master the theory, professional methods and basic skills of computer science and Internet of Things engineering. They are expected to be able to carry out scientific research on data perception, wireless communication, intelligent analysis and IoT system construction etc. and to engage in engineering development, education and management as high-quality and innovative talents.

The program prepares students to meet the following requirements in around five years after graduation.

Objective 1: having a solid basic knowledge of mathematics, natural sciences and engineering; systematically grasping the basic computer theory, IoT engineering expertise; possessing the ability to apply academic expertise and modern tools to analyze complex engineering problems in sensor systems, IoT systems, computer software and computer application.

Objective 2: mastering the design and development methods of IoT components and computer systems; having a good sense of innovation; being able to apply scientific principles and scientific methods, modern tools for the research, design and development of new theories, systems, software and components.

Objective 3: Being dedicated to pubic interests and pursuing acquisition of all-round capability; having good humanistic literacy, professional ethics and sense of social responsibility; able to correctly evaluate the impact of scientific and technological development and complex IoT engineering practice on society, health, safety, law and culture; understanding the impact of computer engineering practice on the environment and sustainable development of society; fulfilling the responsibilities of engineers.

Objective 4: having good communication skills, teamwork spirit and project management ability; being able to lead team members or work as the backbone of a team to carry out computer hardware and software development and IoT engineering practice; being able to communicate effectively with peers and the public on complex IoT engineering issues.

Objective 5: possessing the ability of multidisciplinary integration, independent and lifelong learning; having international vision and cross-cultural communication skills; being able to quickly adapt to the multidisciplinary environment and the rapid development of the IoT industry, and to continuously enhance scientific research, engineering development, education and management capabilities.

 

III. Graduation Requirements

(1) Knowledge of engineering: Beingable to apply mathematical, natural science, and engineering expertise to solve complex IoT engineering problems.

(2) Problem Analysis: Being able to apply basic principles of mathematics, natural and engineering sciences to identify, present, and analyze complex IoT engineering problems through literature research in order to obtain valid conclusions.

(3) Design/develop solutions: Being able to design solutions connecting hardware and software, network and environment, to complex IoT engineering problems from a system’s perspective; to design IoT systems or modules that meet specific needs; able to embody a sense of innovation in the design process, taking into account social, health, safety, legal, cultural, and environmental factors.

(4) Research: Being able to study complex IoT engineering problems based on scientific principles and methods, including designing experiments, analyzing and interpreting data, and synthesizing information to obtain reasonable and effective conclusions.

(5) Use of Modern Tools: being able to develop, select and use appropriate technologies, resources, modern engineering tools and information technology tools for complex IoT engineering problems, including the prediction and simulation of complex IoT engineering problems, and understanding their limitations.

(6) Engineering and Society: able to perform sound analysis based on background knowledge related to IoT engineering, evaluate the social, health, safety, legal, and cultural impacts of computer engineering practices and IoT engineering, and understand the responsibilities that should be assumed.

(7) Environment and Sustainability: able to understand and evaluate the impact of IoT engineering practices on the environment and social sustainability.

(8) Professional norms: having humanities literacy, shouldering social responsibility in accordance with Nankai’s motto; understanding and complying with professional norms.

(9) Individual and team: able to assume the role of individual, team member and leader in IoT engineering teams in a multidisciplinary context.

(10) Communication: able to communicate with colleagues and the public on IoT engineering issues, including writing reportsanddesigning documents, presenting briefings, and articulating or responding to instructions; having global vision, able to communicate in a cross-cultural context.

(11) Project Management: mastering the principles of IoT engineering management and economic decision-making methods and able to apply them in a multidisciplinary context.

(12) Lifelong Learning: Being aware of self-directed and lifelong learning; having the ability to continuously learn and adapt.

 

Ⅶ. Courses

Course Classification

Course Name

Course Type

Credit

Semester

General

Education

Required

Courses

Ideological Education

Education of Ideology and Morality and Introduction to the Law

Required

2.5

1

Basic Principles of Marxism

Required

3.5

2

Essentials of the Modern History of China

Required

2.5

3

Introduction to Mao Zedong Thought and Theoretical System of

Socialism with Chinese Characteristics

Required

3.5

4

Introduction to Xi Jinping   thought on Socialism with Chinese

Characteristics for the New   Era

Required

2

5

Situation And Policy

Required

2

1-8

Practical courses on improving public morality and all-round capability

Required

2

1-6

Military & Physical   Education

Military Training

Required

2

1

Military Theory

Required

2

2

Physical Education

Required

4

1-4

Foreign Language

College English Ⅰ

Required

2

1

College English Ⅱ

Required

2

2

Module Course

Required

2

3

Humanistic Foundation &   Knowledge of Histories (histories of the Party, New China, the reform and   opening-up, and socialist1 development across Chinese society)

College Chinese

Required

2

  

Principles of Economics/ Basic Theory of Law/ Introduction to   Philosophy/ Introduction to Historical Studies/ the “Four Histories”   (Choose one from them)

Required

2

5

Basic

 

Mathematics and Physics

Basic Physics Experiment

Required

2

 

Higher Mathematics (Class A) I

Required

5

 

Higher Mathematics (Class A) Ⅱ

Required

5

 

Subtotal of Credits

48

General Education Electives Courses

 

Required Credits

Elective

14

Basic Courses in General Disciplines

Linear Algebra

Required

4

1

C++ Programming Language 2-1

Required

3.5

1

College Physics Ⅰ

Required

4

2

C++ Programming Language 2-2

Required

2.5

2

Fundamentals of Electric Circuits

Required

3.5

2

Guidance of Major cognition

Required

1

2

Subtotal of Credits

18.5

Major Required Courses

Digital Logic

Required

3.5

3

Data Structure

Required

3.5

3

Introduction to Internet of Things

Required

2

3

Computer Organization

Required

3.5

4

Software Security

Required

2.5

4

Discrete Mathematics

Required

4

3

Introduction to Artificial Intelligence

Required

2.5

4

Embedded System

Required

2.5

4

Sensing Technology and Application

Required

2.5

4

Database System

Required

3.5

4

Operating System

Required

3.5

5

Computer Networks

Required

3.5

5

Computer Architecture

Required

3.5

5

IoT Security

Required

2.5

5

Network Technology and Application

Required

2.5

5

AI Computing Systems

Required

2.5

6

Project Training and Practice

Required

2

5

Innovative Research and Training

Required

1

6

Communication Technology of IoT

Required

2.5

6

Graduation Thesis (Design)

Required

6

8

Subtotal of Credits

59.5

Major Elective Courses

Java Language and Application

Limited

Elective

2.5

3

Python Programming

 

 

Go Language and its Application

 

 

Frontiers of IoT

Limited

Elective

1

3

Probability and Mathematical Statistic

Limited Elective

4

3

Verilog Programming

Elective

1

3

Software Engineering

Limited Elective

2.5

6

Foundations of Computer Vision

Limited Elective

2.5

6

Machine Learning and Application

Limited Elective

2.5

5

Assembly Language and Reverse Engineering

Elective

2.5

3

Digital Signal Processing

Elective

2

3

Introduction to Parallel Programming

Elective

2.5

4

Fundamentals of Visual Technology

Elective

2.5

4

Methods of Computing

Elective

2

4

Introduction to Algorithm

Elective

3.5

4

Fundamentals of Information Retrieval System

Elective

2.5

5

Cryptology

Elective

3.5

5

Principles of Compilers

Elective

3.5

5

Digital Image Processing

Elective

2.5

6

Natural Language Processing

Elective

2.5

7

Big Data Analytics and Application

Elective

2

6

Deep learning and application

Elective

2.5

6

Computer Graphics

Elective

2.5

6

Required Credits

18

Total Required Credits

158

 


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