I. Training Objectives

Based on the digital economy belt in Yangtze River Delta, relying on the first-class disciplines of computer science and technology, and based on the health big data engineering talent cultivation base of medical-industrial convergence, this specialty cultivates talents with the ability to analyze and solve domain-oriented applications, including embedded device development, AI-based data sensing, transmission and processing, system architecture design and system software development, by means of the collaborative cultivation system of the government, industry, academia, research and application. Through the "government-industry-research-university" multi-party collaborative education system, we will cultivate Internet of Things technical specialists who master embedded sensing and communication, intelligent information processing, system integration development and other technologies, and have the ability to analyze and solve the field-oriented applications. Awareness and ability to adapt to the technological progress of the new generation of intelligent IoT and to meet the needs of regional economic development of IoT application innovation talents.

The above training objectives can be summarized in the following five items:

• Objective 1: Possess good humanistic qualities and moral sentiments, have a healthy body, be honest and trustworthy, be courageous, have a strong sense of social responsibility, and continuously improve professional qualities.
• Objective 2: Possess comprehensive engineering knowledge, solid professional knowledge and skills, and be able to identify, analyze, research and solve complex engineering problems in the field of healthcare informatization.
• Objective 3: Have good practical ability in engineering application, comply with industry professional norms, and be able to become a technical backbone or project manager in system analysis, design, development and testing in IoT-related fields.
• Objective 4: Perform individual tasks with high quality in research teams, product and project development teams, as well as participate in the organization, coordination and management of teams.
• Objective 5: Have lifelong learning ability and innovative spirit, to position, plan and implement personal and professional development goals, and accordingly expand knowledge and enhance ability, to be able to adapt to social development, to continue innovation and creation in the industry, and to realize individual development.

II. Graduation Requirements and Graduation Requirements Achievement Matrix

Students in this program are required to meet the following requirements in terms of knowledge, abilities, and qualities upon graduation.

1. Engineering knowledge: to be able to apply the theories and methods of mathematics, natural sciences, engineering fundamentals and professional knowledge to solve relevant and complex engineering problems in the conceptualization, design, realization, and operation phases of IoT systems.

• 1.1 Knowledge of mathematics and natural sciences and the ability to apply them to the proper formulation and modeling of IoT system problems.
• 1.2 Mastery of the fundamentals of IoT engineering, the ability to think abstractly, reason logically, and construct inductively, and the ability to abstract practical problems into computerizable problems and solve them.
• 1.3 Expert knowledge of IoT and ability to reason and validate design solutions and models for hardware and software systems.
• 1.4 Ability to synthesize engineering knowledge to analyze and improve complex engineering problem-solving approaches for IoT systems.

2. Problem analysis: to be able to apply the basic principles of mathematics, natural sciences, and engineering fundamentals and professional knowledge to identify, express, and analyze the complex engineering problems of the Internet of Things (IoT) system in the conceptualization and design stage of the IoT system by means of literature research, experiments, reasoning, and modeling, in order to obtain effective conclusions.

• 2.1 Be able to apply basic principles of mathematics, natural sciences, and engineering fundamentals and expertise to identify the appearance of complex problems in IoT engineering systems and analyze the key factors that give rise to problems.
• 2.2 Be able to seek solutions to complex engineering problems based on the key factors that create problems in IoT engineering systems and express them rationally through literature research, modeling, and other methods.
• 2.3 Verify the reasonableness of solutions and obtain valid conclusions through experimentation and reasoning.
• 2.4 Be able to improve and optimize solutions to complex engineering problems, taking into account the literature, the status and trends of cutting-edge developments in IoT technology, and engineering benefits.

3. Design/development of solutions: to be able to design solutions to complex engineering problems in the field of IoT engineering, to design and develop IoT engineering systems to meet specific needs, and to be able to take into account social, health, safety, legal, cultural, and environmental factors in the design process, reflecting a sense of innovation.

• 3.1 Be able to define development and design objectives, mission statements, technical requirements, technical specifications, etc., and propose solutions to complex engineering problems in the field of IoT engineering based on user needs.
• 3.2 Be able to consider social, health, safety, legal, cultural, and environmental factors, research and demonstrate the feasibility of solutions, and identify reasonable or optimized solutions.
• 3.3 Apply knowledge of IoT engineering to design and develop an IoT engineering system that meets specific needs and demonstrates a sense of innovation.
• 3.4 Be able to test and evaluate, optimize and improve IoT engineering systems.
• 3.5 Be able to present design and development solutions and their effects on complex engineering problems in IoT using developed products, project documents, PPTs, etc.

4. Research: the ability to use mathematics, principles of natural science, engineering fundamentals, principles of computer science and the scientific method to conduct research on complex engineering problems, including designing experiments, analyzing and interpreting data, and synthesizing information to obtain reasonable and valid conclusions.

• 4.1 Develop experimental objectives and methods and design experimental programs based on scientific principles for key elements of complex engineering problems in the Internet of Things.
• 4.2 Select, build, or develop hardware and software experimental environments, conduct experiments and properly record and organize experimental data.
• 4.3 Be able to analyze and interpret experimental data and draw reasoned and valid conclusions through synthesis of information.

5. Use of modern tools: to be able to develop, select, and use appropriate techniques, resources, modern engineering tools, and information technology tools for complex engineering problems, including the prediction and simulation of complex engineering problems, and to be able to understand their limitations.

• 5.1 Ability to utilize information technology tools to access technical resources and engineering tools as required by engineering problems.
• 5.2 Select and use appropriate technical resources and tools to model and predict complex engineering problems in the Internet of Things and understand their limitations.
• 5.3 Select and use appropriate technologies and develop hardware and software tools to solve complex engineering problems in IoT.

6. Engineering and Society: Be able to analyze and evaluate the social, health, safety, legal, and cultural impacts of professional engineering practices and solutions to complex engineering problems based on sound analysis of engineering-related background knowledge and an understanding of responsibilities.

• 6.1 Be able to correctly recognize the situation and tasks facing the country, understand social, health, safety, legal, and cultural policies, laws and regulations, and apply them to the development of solutions to complex engineering problems.
• 6.2 Familiar with the technical standards, intellectual property rights, industrial policies and laws and regulations related to the field of IoT engineering, and understand the management system of IT companies and use it for IoT engineering practice.
• 6.3 Be able to analyze and evaluate the social, health, safety, legal, and cultural impacts of solutions to complex engineering problems and engineering practices, and understand the responsibilities involved.

7. Environment and sustainable development: to be able to understand and evaluate the environmental and social sustainability impacts of engineering practices for complex engineering problems in the Internet of Things.

• 7.1 Understand and comply with the latest national guidelines, policies, laws and regulations on the environment and sustainable social development, and establish the concept of environmental protection and sustainable development in the development of IoT engineering systems.
• 7.2 Be able to evaluate the impact of the actual IoT engineering system project on the environment and sustainable development of society, and take reasonable measures against possible adverse consequences.

8. Professional norms: humanities and social sciences literacy, social responsibility, the ability to understand and comply with the professional ethics and norms of the IT industry in the practice of engineering and fulfillment of responsibilities.

• 8.1 Have some knowledge of the humanities, history, and social sciences, and have a good knowledge of the humanities and social sciences.
• 8.2 To have a deeper understanding of modern social issues, the ability to think and act in a critical manner, and a sense of social responsibility.
• 8.3 Be able to understand and comply with professional ethics and norms and fulfill appropriate responsibilities in IoT engineering project development, practical training, and corporate practice.

9. Individuals and teams: the ability to assume the roles of individual, team member, and leader in a team in a multidisciplinary context.

• 9.1 Be able to form teams based on task and personnel characteristics, and understand the division of roles and responsibilities within a team.
• 9.2 Ability to fulfill role responsibilities, with the ability to communicate and collaborate with others to work cooperatively to accomplish team tasks.
• 9.3 Be able to develop and interpret team objectives, plans, and process management mechanisms, learn team management methods, and manage and coordinate team operations.

10. Communication: the ability to communicate and interact effectively with industry peers and the public on complex engineering issues, including writing reports and design manuscripts, presenting speeches, and articulating or responding to instructions, and a certain degree of international perspective and the ability to communicate and interact in a cross-cultural context.

• 10.1 Be able to write well-formatted, well-organized, and linguistically accurate reports and documents on theoretical and technological research and engineering practices in the field of IoT engineering, and produce materials that facilitate presentation and communication.
• 10.2 Ability to make presentations and speeches on the design, development, and related issues of IoT engineering systems, express ideas clearly, respond correctly to instructions, and communicate and interact effectively with industry peers and the public.
• 10.3 Master at least one foreign language, have a certain international perspective, and be able to communicate and exchange ideas in foreign languages on specialized issues in the field of IoT engineering.

11. Project management: understanding and knowledge of engineering management principles and economic decision-making methods and their application in a multidisciplinary environment.

• 11.1 Be able to understand and acquire knowledge of project management and economic decision-making methods in the analysis-design-implementation-testing of IoT engineering systems.
• 11.2 Be able to apply project management knowledge and economic decision-making methods to the design and development of IoT engineering projects in a multidisciplinary environment.

12. Lifelong learning: a sense of independent learning and lifelong learning, the ability to continuously learn emerging technologies and adapt to the development of the IT industry.

• 12.1 To be able to correctly recognize the current situation and development trend of the computer discipline and industry, and to establish a sense of independent learning and lifelong learning.
• 12.2 To be able to identify problems and acquire knowledge and methods for solving them with the help of network information resources in knowledge learning and project practice, and to develop the ability of independent learning.
• 12.3 Able to be physically fit and able to keep updating the knowledge system through independent learning in response to the needs of personal or professional development in order to adapt to the development of the IT industry.

III. Main Subjects

• Computer Science and Technology
• Information and Communication Engineering

IV. Specialized Core Courses and Course Descriptions

1. Fundamentals of Programming (C) (Course No. 1051424 Credits: 4)

   Introduction: This course is an important professional foundation course for computer science and technology majors. Through the study of this course, we focus on cultivating students' computer programming ability, familiarizing them with the programming language and its running environment, mastering the use of various data types and functions of C proficiently, establishing a complete model of structured program design, being able to use the C language proficiently and independently to prepare programs with good style, mastering the process of computer solving problems, and cultivating debugging skills.

   Recommended Textbook: Stephen Prata, C Primer Plus, English Edition, People's Posts and Telecommunications Publishing House.

2. Principles of Database Systems (Course No. 1051205 Credits: 3)

   Description: This course is a specialized basic course for computer science majors. The course systematically introduces the basic principles and concepts of database systems, the basic architecture and implementation techniques of DBMS, database application design, and database system examples. Through the study of this course, students should master the basic theory of database and understand the preliminary design and development ability of typical database application systems.

   Recommended Textbook: Liu Xianfeng and Yang Siqing, Principles and Applications of Database Systems, Wuhan University Press, 2005.

3. Artificial Intelligence (Course No. 1051516 Credits: 3)

   Description: Artificial Intelligence is an important element in computer science and has become a core technology in the development of computer technology as well as in many high-tech products. Since artificial intelligence simulates human intelligence to solve problems, it has a very wide range of applications in almost all fields. This course mainly introduces the general principles and basic ideas of artificial intelligence problem solving as well as some cutting-edge contents, providing students with basic introductory knowledge of artificial intelligence technology and related problems, and lays the foundation for further study and research on the theory and application of artificial intelligence.

   Recommended Textbook: Introduction to Artificial Intelligence, edited by Wang Wanliang, Higher Education Press, 2020, 5th edition.

4. Advanced Object-Oriented Programming (Course No. 1053267 Credits: 4)

   Description: Object-oriented advanced programming is a required course for undergraduate majors in Internet of Things Engineering. The main content of this course is to master the basic concepts of JAVA, installation and configuration of JDK, installation and configuration of Eclipse, usage of basic data types of JAVA, JAVA variables and operators, control statements, class, and object concepts.

   Recommended Textbook: "Java Concise Tutorial (4th Edition)", Pi Dechang, Zhang Fenglin, Tsinghua University Press, 2015.

5. RFID Technology and Applications (Course No. 1051238 Credits: 3)

   Introduction: Radio Frequency Identification (RFID) technology is currently one of the core technologies of the Internet of Things (IoT) engineering. This course mainly introduces the concept of RFID, the basic concepts related to RFID, basic concepts of data communication technology, RFID application system, and its design.

   Prerequisites: Digital Electronics, Fundamentals of Programming.

   Recommended Textbook: RFID: Principles, Protocols and System Design (3rd Edition), by Xie Lei, Lu Sanglu, Science Press, 2020.

6. Internet of Things Control Technology (Course No. 1052293 Credits: 2)

   Introduction: This course is a professional core course for IoT engineering majors. Students will learn the concept, composition, and remote control technology of IoT control systems, and master the working principle and software design method of PLC and other controllers used in IoT applications.

   Prerequisites: Principles of Electric Circuits, Introduction to the Internet of Things.

   Recommended Textbook: "Internet of Things Control Technology (2nd Edition)", edited by Wang Wanliang, Higher Education Press, 2020.

7. Information Security in the Internet of Things (Course No. 1051662 Credits: 2)

   Description: This course focuses on the application perspective of IoT, explaining IoT information security systems, IoT perception security, access security, system security, privacy security, blockchain, and its applications.

   Recommended Textbook: "Information Security in the Internet of Things (2nd Edition)", Gui Xiaolin, Mechanical Industry Press, 2021.

8. Internet of Things Engineering Applications (Course No. 1052265 Credits: 4)

   Introduction: This course is a professional compulsory course for senior students majoring in Internet of Things Engineering. Students will familiarize themselves with IoT engineering applications, development and design methods, and the basic network communication protocols.

   Prerequisite Courses: RFID Technology and Applications, Wireless Sensor Networks, Internet of Things Control Technology, Programming Fundamentals (Java).

   Recommended Textbook: Internet of Things Engineering Application Technology, edited by Jianshang Liao, Electronic Industry Press, 2020.

V. Program Duration, Degrees Awarded, Minimum Graduation Credits

Duration: Basic four years
Degree awarded: Bachelor of Engineering
Minimum graduation credits:

VI. Summary of Various Types of Course Offerings and Credit Allocations

Category	Compulsory Course	Optional Course (in school)	Fulfill
Public Foundation Platform Courses	52.5	36	88.5
School-level Elective Courses	-	8	8
Specialty Orientation Electives	-	14	14
Specialized Elective	-	12	12
Intensive Week	27	-	27
In-class Experiments	30	-	30
Innovative Practices	4	-	4
Total	113.5	60	173.5

VII. Curriculum for Practical Teaching Sessions

1. List of Courses for Centralized Practical Teaching Sessions

Course Code	Course Name	Student Fraction	Weeks	Semester Schedule
1113001	Military Training and Doctrine	1	2	Shortest
1053069	Programming Fundamentals (C) Course Design	1	1 week	2
1053009	Practical Training in Electronic Skills	1	1 week	3
1053010	Electronic Design CAD	1	1 week	4
1053083	Database Development Technology Course Design	1	1 week	Brief second
1053012	Microcontroller Application Course Design	2	2 weeks	5
B051141	Embedded Development Course Design	2	2 weeks	6
B053002	Comprehensive Practical Training on Internet of Things Engineering	2	2 weeks	7
B051121	Business Internship and Labor Education	4	8 weeks	7
1053001	Graduation Design	12	16 weeks	7, 8

2. Innovative Practice Credit Requirements

In order to improve students' comprehensive quality and innovation and entrepreneurship ability, students are required to complete no less than 4 credits of innovation practice credits, the specific requirements are listed in the "Guidelines for Innovation Practice Credits for Undergraduates of Zhejiang Shuren University".

VIII. Bilingual or All-English Courses

• Computer Networks
• Cloud Computing and Internet of Things

IX. Requirements for Professional Qualifications

Serial Number	Certificate Name	Certifying Body	Rating Requirement
1	Electronic Design Engineer	China Electronics Association	Junior and above
2	Zhejiang University Computer Grade Examination	Education Commission of Zhejiang Province	Three-tier
3	National Level Examination for Advanced Information Technology Personnel	Ministry of Education	Junior and above
4	Computer Technology and Software Professional and Technical Qualification (Level) Examination	Ministry of Human Resources and Social Security, Ministry of Industry and Information Technology	Junior and above
5	National Computer Grade Examination Level 3 (network technology, database technology, information management technology, etc.)	Ministry of Education Examination Center	Junior and above
6	Certificate in Microcomputer Debugging and Maintenance	Ministry of Human Resources and Social Security	Junior and above
7	Communications Network Administrator	Ministry of Human Resources and Social Security	Junior and above
8	Embedded System Engineer Certificate	China Electronics Association	Junior and above
9	Software Evaluator	Ministry of Human Resources and Social Security, Ministry of Industry and Information Technology	Junior and above
10	Java Certification Certificate (110 or Assistant Programmer Level)	Sun or IBM	Junior and above
11	IoT Engineer Certificate	China Electronics Association, Huawei	Junior and above
12	Huawei 1+X Mobile Application Development Career Skills Certification	Huawei (brand)	Junior and above
13	Other vocational certificates (subject to college accreditation)	Various	Junior and above