Intelligent Construction

时间:2026-01-06浏览:10

Major Code: 081008T  Duration of Study: 4 Years

EducationalObjectives

This program aims to cultivate high-level Three-Creativity (innovation,creation, and entrepreneurship) talents who possess both patriotic spirit and aglobal perspective, demonstrate excellence in the ThreeCompetencies (learning ability, critical thinking, and execution), andachieve well-rounded development in moral, intellectual, physical, aesthetic,and labor education. Graduates will acquire a solid engineering foundation andmastery of emerging cutting-edge technologies. Within five years of graduation,they are expected to become: Technical leaders or managers in smartconstruction divisions of traditional building enterprises, engineeringdepartments of 5G or intelligent equipment industries, or emerging smartconstruction technology startups; Entrepreneurs leveraging proprietaryintellectual property technologies; Holders of master’s or higher degrees fromtop-tier universities, contributing to research in smart construction as futurescientific talents. The specific objectives are outlined as follows:

(1) Objective 1: Practice coresocialist values in their professional fields, embodying the craftsmanshipspirit and the South China University of Technology’s ethos of pragmatism andinnovation. Graduates will demonstrate pioneering leadership, resilience intackling challenges, and exhibit well-rounded competencies, a sustainabledevelopment mindset, and interdisciplinary systematic thinking.

(2) Objective 2: Address complexlifecycle challenges in engineering construction or frontier research topics byintegrating fundamental engineering knowledge and cross-disciplinarymethodologies. Graduates will conduct critical investigations, analyses,comparisons, and decision-making, proposing holistic solutions that account formultiple influencing factors.

(3) Objective 3: Demonstrateeffective self-management, teamwork, and communication skills with domestic andinternational peers as well as the public. Throughout their career advancement,they will continuously enhance their professional competence, expertise, andleadership.

Graduation Requirements

№1.Ethical Cultivation: Understand and apply the worldview and methodology of thediscipline, demonstrating sound moral character and social ethics. Possess asense of national identity and social responsibility, and uphold core socialistvalues in practice.

№2.Engineering Knowledge: Acquire foundational knowledge in humanities and socialsciences, solid fundamentals in mathematics, mechanics, and other naturalsciences, specialized expertise in engineering design and construction, as wellas interdisciplinary knowledge in data science, advanced equipment, and relatedfields.

№3.Problem Analysis: Apply fundamental principles of mathematics, naturalsciences, data science, advanced equipment, and engineering science toidentify, articulate, and analyze complex issues in engineering design,construction, and operations management through literature research, derivingvalid conclusions.

№4.Design/Development of Solutions: Develop innovative, interdisciplinarysolutions for complex engineering problems by considering factors such aspublic health and safety, lifecycle costs, and societal and environmentalimpacts, thereby enhancing the efficiency of the entire engineering lifecycle.

№5.Research: Conduct research on complex engineering problems in smartconstruction using scientific principles and methodologies, including designingexperiments, analyzing and interpreting data, and synthesizing information toderive sound and practical conclusions for engineering applications.

№6.Use of Tools: Select, utilize, and develop appropriate technologies, resources,modern tools, and information technology to address complex engineeringproblems, including simulation, analysis, and prediction, while recognizingtheir limitations.

№7.Engineers and the World: Understand and apply the UN Sustainable DevelopmentGoals (SDG 17). Analyze and evaluate the sustainable requirements ofengineering projects throughout their lifecycle—considering social, economic,health, legal, and environmental impacts—based on smart construction knowledgeand standards, while recognizing engineers' responsibilities.

№8.Ethics: Adhere to ethical principles, comply with relevant national andinternational laws, and commit to professional engineering ethics andstandards, demonstrating an understanding of diversity and inclusivity.

№9.Individual and Teamwork: Effectively perform roles as an individual, teammember, or leader in diverse and inclusive teams to address complex engineeringchallenges across the project lifecycle.

№10.Communication: Communicate effectively with industry peers and the public oncomplex engineering issues, demonstrating proficiency in report writing,presentations, and cross-cultural and global interactions.

№11.Project Management and Finance: Apply management principles and economicdecision-making knowledge in complex engineering projects or smart constructionR&D, integrating them into multidisciplinary collaborative work.

№12.Lifelong Learning: Engage in continuous self-directed and lifelong learning tomeet personal and professional development needs, with the awareness andcapability to adapt to future advancements in engineering and construction.

Educational Objectives

Graduation Requirements

Objective 1

Objective 2

Objective 33

Requirement 1

Requirement 2

 

 

Requirement 3

 

 

Requirement 4

 

 

Requirement 5

 

 

Requirement 6

 

 

Requirement 7

 

 

Requirement 8

 

 

Requirement 9

 

 

Requirement 10

 

 

Requirement 11

 

 

Requirement 12

 

 

Program Overview

Smart Construction is an emergingengineering discipline derived from the digital and intelligent transformationof the civil engineering and architecture sectors. First introduced in China inlate 2018, our university officially launched this program in September 2022,making it one of the earliest established programs in Guangdong Province andthe Greater Bay Area. Leveraging multidisciplinary resources from the School ofCivil Engineering and Transportation, with a core team of young and mid-careerfaculty experts, the program integrates complementary strengths from: School ofArchitecture, School of Mechanical and Automotive Engineering, School ofAutomation Science and Engineering, School of Software Engineering, Wu XianmingSchool of Intelligent Engineering. The program features collaborativepartnerships with leading industry players including: Guangzhou AirportConstruction Investment Co., Ltd. Architectural Design and Research Instituteof SCUT, China Construction Fourth Engineering Division Corp. Ltd. We alsomaintain strategic alliances with innovative platforms such as the Hong KongSmart Construction R&D Center to pioneer new paradigms in scientificeducation, establishing a benchmark for smart construction talent cultivationin the Greater Bay Area. Graduates of this program will address criticalworkforce shortages in smart construction technologies at both national andregional levels, while driving the transformation of civil engineeringdisciplines through next-generation productivity solutions.

Program Features

1. Implementation ofa dual-track Construction × Intelligence curriculum that combinesfoundational engineering construction with interdisciplinary emergingtechnologies;

2. Collaborative teaching and practical training with leadingenterprises and major smart construction projects in the Guangdong-HongKong-Macao Greater Bay Area;

3. Comprehensive project-based and diversified training supported bymultidisciplinary university resources and high-quality external scientificinnovation platforms.

Degree Awarded

Core Courses (11)

Engineering Mechanics II, Modern EngineeringMaterials, Data Structures and Algorithms II, Digital Design and IntelligentManufacturing, Engineering Surveying and Digital Architecture, Principles ofStructural Design, Control Theory and Robotics Fundamentals, ArtificialIntelligence and Machine Learning, Prefabricated Structural Design, EngineeringConstruction Principles and Intelligent Technologies, Engineering Big DataAnalysis and Applications II.

Featured Courses

Freshman Seminars(6)

Smart Transportation and Sustainable Development, Frontiersin Digital Design and Intelligent Construction, Engineering Management in theAI Era, Digital Twin Watersheds and Future Water Conservancy, Future UrbanScience: Intelligent Design and Sustainable Systems, New Materials - NewStructures - New Engineering: Applications of Mechanical Thinking.

AdvancedDiscipline Courses

Green and Intelligent Design of Human Settlements, Greenand Resilient Road Construction & Maintenance Technologies, ModernTransportation Infrastructure Simulation Technologies, Smart Underground Spacesand Engineering, Digital Construction Technologies for Tunnel Engineering, DigitalBridge Engineering and AI Design, Analysis and Emergency Response ofEngineering Safety Accidents, Structural Intelligent Sensing and EngineeringDiagnostics, High-Performance Structural Optimization and Algorithm Design, IntelligentDiagnosis and Rehabilitation of Underground Structure Performance, EarthquakeDisaster Prevention and Mitigation for Engineering Structures, PrefabricatedModular Construction and Engineering Applications.

Industry-AcademiaCollaborative Courses

Introduction to Intelligent Transportation andDigital Construction, Industry-Academia Practice I (Digital Design), Industry-AcademiaPractice II (Construction Robotics), Industry-Academia Practice III (Big DataAnalysis), Introductory Internship, Professional Internship, Graduation Project.

Competition-IntegratedCourses

Engineering Thinking Training I (Overall andConceptual Design), Engineering Thinking Training II (Optimization Analysis andConstruction), Engineering Thinking Training III (Construction Principles andCost), Structural Model Concepts and Experiments.

InnovationPractice Courses

Frontiers in Civil Engineering Experiments, ComprehensiveExperiments in Engineering Structures, Structural Model Concepts andExperiments.

 

I. Course Credit Registration Tables

1. Credit Statistics Table

Course Category

Requirement Type

Credits

Hours

Notes

General Foundation

Required

56.0

1072

 

Elective

10.0

160

 

Professional Foundation

Required

38.0

634

 

Elective Courses

Elective

23.0

368

 

Subtotal

127.0

2234

 

Intensive Practical Training

Required

33.0

39 weeks

 

Total Graduation Requirements

127.0+33.0=160.0

Recommended Credit Load per Semester

1

2

3

4

5

6

7

8

27

26

25

24

24

20

4

10

Note: To graduate, students must complete allcredit requirements specified in the academic program, including earning 5credits in humanistic quality education and 4 credits in innovation capabilitydevelopment from the Second Classroom initiative.

2. Category Statistics Table

Credit Hour

Credit Distribution

Total Hours

Of Which

Of Which

Total Credits

Of Which

Of Which

Of Which

Required Hours

Elective Hours

Theoretical Hours

Practical Hours

Required Hours

Elective Hours

Intensive Practice

Theoretical

Practical

Innovation Credits

2234

1866

368

1910

324

160

137

23

33

117

10

2

Notes: 1. General education courses are counted under elective courses.

2. Experimental teaching hours in this table includeexperiments, internships, and other practical components specified in theprofessional teaching plan.

3. Innovation and entrepreneurship education credits: Courses in thecurriculum approved by the teaching guidance committee of eachschool/department, including competition-integrated courses, innovationpractice courses, and entrepreneurship education courses.

4. Calculation formulas: Required hours + Elective hours = Total contacthours; Theoretical teaching hours + Experimental teaching hours = Total contacthours; Required credits + Elective credits = Total credits; Intensive practicaltraining credits + Theoretical teaching credits + Experimental teaching credits= Total credits.

II. Curriculum Structure Table

Category

Course Code

Course Title

Required

/Optional

Hours

Credit Hours

Offering Semester

Total Hours

Lecture

Lab

Practicum

Other

General  Foundation

031101661

Ideological Morality and Rule of  Law

Required

40

36

 

 

4

2.5

1

031101761

An Outline of Xi Jinping Thought  on Socialism with Chinese Characteristics for a New Era

Required

48

36

 

 

12

3.0

2

031101371

Outline of Modern and  Contemporary Chinese History

Required

40

36

 

 

4

2.5

4

031101424

An Introduction to MAO Zedong  Thought and the Theoretical System of Socialism with Chinese Characteristics

Required

40

36

 

 

4

2.5

3

031101522

The basic principles of Marxism

Required

40

36

 

 

4

2.5

3

031101331

Situation and Policy

Required

64

64

 

 

 

2.0

1-8

044101383

Academic English (I)

Required

32

32

 

 

 

2.0

1

044102452

Academic English (II)

Required

32

32

 

 

 

2.0

2

084101181

Introduction to Artificial  Intelligence (Science and Engineering)

Required

36

24

 

 

12

2.0

2

052100332

Physical Education (I)

Required

36

 

 

 

36

1.0

1

052100012

Physical Education (II)

Required

36

 

 

 

36

1.0

2

052100842

Physical Education (III)

Required

36

 

 

 

36

1.0

3

052100062

Physical Education (IV)

Required

36

 

 

 

36

1.0

4

006100112

Military theory

Required

36

18

 

 

18

2.0

2

040100051

Calculus II (I)

Required

80

80

 

 

 

5.0

1

040100411

Calculus II (II)

Required

80

80

 

 

 

5.0

2

040100401

Linear Algebra and Analytic  Geometry

Required

48

48

 

 

 

3.0

1

040100023

Probability Theory and  Mathematical Statistics

Required

48

48

 

 

 

3.0

2

041100582

College Physics I (I)

Required

48

48

 

 

 

3.0

2

041101391

College Physics I (II)

Required

48

48

 

 

 

3.0

3

041100671

College Physics Experiment (I)

Required

32

 

32

 

 

1.0

3

041101051

College Physics Experiment (II)

Required

32

 

32

 

 

1.0

4

074106601

Fundamentals of Design Expression

Required

64

54

10

 

 

3.0

1

045102811

Python language programming

Required

40

32

 

 

8

2.0

1

 

The fields of humanities and  social sciences

Elective

128

128

 

 

 

8.0

 

 

The field of science and  technology

32

32

 

 

 

2.0

 

Total

Required

1232

948

74

 

210

66

 

Note: UnderOther in contact hours, computer lab hours and practical traininghours may be included.

II. Curriculum Structure Table(Continued)

Category

Course Code

Course Title

Required

/Optional

Hours

Credit Hours

Offering Semester

Total Hours

Lecture

Lab

Practicum

Other

Professional  Foundation

033109241

Introduction to Intelligent  Transportation and Digital Construction

Required

32

32

 

 

 

2.0

1

033100582

Engineering Mechanics II

Required

68

64

4

 

 

4.0

3

033109161

Engineering Geology and  Construction Materials

Required

66

54

12

 

 

3.5

3

033109501

Data Structures and Algorithms II

Required

48

48

 

 

 

3.0

3

033107672

Digital Design and Intelligent  Manufacturing

Required

48

48

 

 

 

3.0

3

033109131

Engineering Surveying and Digital  Architecture

Required

52

40

12

 

 

3.0

4

033100812

Principles of Structural Design

Required

64

64

 

 

 

4.0

4

033107711

Control Theory and Robotics  Fundamentals

Required

48

40

8

 

 

2.5

4

033107702

Artificial Intelligence and  Machine Learning

Required

48

48

 

 

 

3.0

5

033107391

Prefabricated Structural Design

Required

48

44

 

4

 

3.0

5

033109071

Engineering Construction  Principles and Smart Technologies

Required

64

64

 

 

 

4.0

6

033109141

Engineering Big Data Analysis and  Applications II

Required

48

48

 

 

 

3.0

6

Total

Required

634

634

594

36

4

38.0

 

Professional  Elective Courses

Freshman Seminar Module (Only 1.0  credit is required for completion.)

033109881

Intelligent transportation and  sustainable development

Choose one from six

16

16

 

 

 

1.0

2

033109941

Frontiers of Digital Design and  Intelligent Construction

16

16

4

 

 

1.0

2

033109171

Engineering Management in the Era  of Artificial Intelligence

16

16

12

 

 

1.0

2

033109541

Digital Twin River Basins and  Future Water Conservancy

16

16

 

 

 

1.0

2

033109991

Future Urban Science: Intelligent  Design and Sustainable Systems

16

16

 

 

4

1.0

2

033108751

New Materials - New Structures -  New Engineering: The Application of Mechanical Thinking

16

16

12

 

 

1.0

2

General category platform  elective courses (Minimum requirement for completion is no less than 12.0  credits, and a maximum of 2 credits can be recognized for cross-college  elective courses)

033109031

Civil Engineering and  Transportation Laboratory safety

Optional

24

 

24

 

 

1.0

3

033107891

Scientific and technological  paper writing and literature retrieval

Optional

16

16

 

 

 

1.0

4

033108521

Frontiers of academic and  engineering innovation

Optional

16

16

 

 

 

1.0

5

033107221

Marine renewable energy

Optional

32

32

 

 

 

2.0

3

033109711

Fundamentals of Operations  Research

Optional

32

32

 

 

 

2.0

3/4

033107751

Digital image processing and  applications

Optional

32

32

 

 

 

2.0

3/4

032101653

Structural mechanics

Optional

64

64

 

 

 

4.0

4

032101654

Structural Mechanics (English)

Optional

64

64

 

 

 

4.0

4

033107792

Material construction-based  design and construction

Optional

32

32

 

 

 

2.0

4

033107691

Soil Mechanics and Foundation  Engineering

Optional

32

24

8

 

 

2.0

4

033109691

Remote sensing and geographic  information technology

Optional

36

32

4

 

 

2.0

5/6

033101571

Concept and Experiment of  Structural Model

Optional

22

16

6

 

 

1.0

4/6

033109431

Elasticity Mechanics I

Optional

32

32

 

 

 

2.0

5

033108532

Principles and Program Foundation  of Structural Analysis

Optional

32

32

 

 

 

2.0

5

033107581

Design and development of  engineering software systems

Optional

32

32

 

 

 

2.0

5

033109441

Non-destructive testing and  intelligent data analysis

Optional

32

32

 

 

 

2.0

5

033109461

Engineering Economics I

Optional

32

32

 

 

 

2.0

5/6

033109471

Engineering Regulations and  Contracts I

Optional

32

32

 

 

 

2.0

5/6

033103104

Project Management I

Optional

32

32

 

 

 

2.0

5/6

033108321

Development and utilization of  Marine space

Optional

32

32

 

 

 

2.0

6

033108611

The Application of WEB  Programming in Civil Engineering

Optional

16

16

 

 

 

1.0

6

 

Disciplinary frontier  characteristic elective courses (Minimum requirement for completion is no  less than 10.0 credits, and a maximum of 2 credits can be recognized for  cross-college elective courses)

 

Course Code

Course Title

Required

/Optional

Hours

Credit Hours

Offering Semester

Total Hours

Lecture

Lab

Practicum

Other

033110041

Green and intelligent design of  residential buildings

Optional

32

32

 

 

 

2.0

4

033110121

Green and resilient road  construction and maintenance technology

Optional

32

32

 

 

 

2.0

4

033110011

Modern transportation  infrastructure simulation technology

Optional

32

32

 

 

 

2.0

5

033109401

Smart Underground Space and  Engineering

Optional

32

32

 

 

 

2.0

5

033109321

Digital construction technology  for tunnel engineering

Optional

32

32

 

 

 

2.0

5

033109421

Digital Bridge Engineering and AI  Design

Optional

32

32

 

 

 

2.0

5

033108722

Analysis of Engineering Safety  Accidents and Emergency Response

Optional

32

32

 

 

 

2.0

5/6

033110061

Structural intelligent perception  and engineering diagnosis

Optional

32

32

 

 

 

2.0

6

033110071

High-performance structural  optimization and algorithm design

Optional

32

32

 

 

 

2.0

6

033110051

Intelligent diagnosis and repair  of service performance of underground structures

Optional

32

32

 

 

 

2.0

6

033110081

Earthquake resistance, disaster  prevention and mitigation of engineering structures

Optional

32

32

 

 

 

2.0

6

033109181

Digital operation and management  of cities

Optional

32

32

 

 

 

2.0

6

020100061

Entrepreneurial practice

Innovation and Entrepreneurship  Course

Optional

32

 

 

 

32

2.0

7

020100051

Innovative research training

Optional

32

 

 

 

32

2.0

7

020100041

Innovative Research Practice I

Optional

32

 

 

 

32

2.0

7

020100031

Innovative  Research Practice II

Optional

32

 

 

 

32

2.0

7

Total

Optional

The minimum total credit  requirement for all elective courses is 23 credits

  Notes: OtherContact Hours may include computer lab sessions and practical training hours.

Credit Conversion Policy: Students may apply toconvert the following activities into elective course credits (up to 4 creditstotal) through approval: Research training programs, Academic competitions, Publishedpapers, Patents obtained, Entrepreneurial ventures, Eligible courses forconversion include: Innovation Research Training, Innovation Research PracticeI/II, Entrepreneurship Practice, or similar innovation/entrepreneurshipofferings. Non-Duplication Rule: Activities approved for elective credits cannotsimultaneously count toward Second Classroom innovation credits.

III. Intensive Practical TrainingComponents

Course Code

Course Title

Required

/Optional

Hours

Credit Hours

Offering Semester

Practice

Teaching

006100151

Military skills

Required

2 weeks

 

2.0

1

031101551

Marxist Theory and Practice

Required

2 weeks

 

2.0

3

033101582

Cognitive internship

Required

1 weeks

 

1.0

3

033110162

Engineering Thinking Training I  (Overall and Conceptual Design)

Required

2 weeks

 

2.0

3

033110163

Engineering Thinking Training II  (Optimization Analysis and Construction)

Required

2 weeks

 

2.0

4

033110164

Engineering Thinking Training III  (Construction Principles and Costs)

Required

2 weeks

 

2.0

5

033109221

Engineering Surveying and Mapping  and Digital Construction Practice

Required

2 weeks

 

2.0

4/5

033110271

School-enterprise Joint Practice  I (Digital Design)

Required

2 weeks

 

2.0

4

033110272

School-enterprise Joint Practice  II (Construction Robots)

Required

2 weeks

 

2.0

5

033110273

School-enterprise Joint Practice  III (Big Data Analysis)

Required

2 weeks

 

2.0

6

032102171

Professional internship

Required

4 weeks

 

4.0

6/7

033100553

Graduation Project (Thesis)

Required

16 weeks

 

10.0

7/8

033110261

Overseas academic and engineering  practice study Tours

Optional

1 weeks

 

1.0

4/6

Total

Required

39 weeks

 

33.0

 

 

 

IV. Course Distribution and TopologyDiagram

First Year  (Freshman)

Second Year  (Sophomore)

Third Year  (Junior)

Fourth Year  (Senior)

Fall Semester

Spring  Semester

Fall Semester

Spring  Semester

Fall Semester

Spring  Semester

Fall Semester

Spring  Semester

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Course

Credit Hours

Ideology,  Morality and Rule of Law

2.5

Outline of  Modern Chinese History

2.5

An  Introduction to MAO Zedong Thought and the Theoretical System of Socialism  with Chinese Characteristics

2.5

Basic  Principles of Marxism

2.5

Current  Affairs and Policy Studies

2

An Outline of  Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era

1

Undergraduate-Graduate  Shared Courses

 

Cross-Level  Shared Courses

 

Fundamental  Physics I

4

Fundamental  Physics II

4

College  Physics Experiment (I)

1

University  Physics Laboratory II

1

Prefabricated  Structural Design

3

Principles of  Engineering Construction & Smart Technologies

4

Professional  Internship

4

Capstone  Design Project

10

Physical  Education I

1

Physical  Education II

1

Physical  Education III

1

Physical  Education IV

1

Artificial  Intelligence and Machine Learning

3

Engineering  Big Data Analysis & Processing

3

 

 

 

 

Calculus II  (Part 1)

5

Calculus II  (Part 2)

5

Engineering  Geology and engineering materials

3.5

Engineering  Surveying and Digital Architecture

3

General  Technology Module I

2

General  Technology Module IV

2

 

 

 

 

Academic  English and Technical Communication I

2

Academic  English & Technical Communication II

2

Engineering  Mechanics

4

Principles of  Structural Design

4

General  Technology Module II

2

General  Technology Module V

2

 

 

 

 

Linear  Algebra and Analytic Geometry

3

Probability  and Mathematical Statistics

3

Data  Structures and Algorithms II

3

Fundamentals  of Control Theory and Robotics

2.5

General  Technology Module III

2

Frontiers  Elective III

2

 

 

 

 

Fundamentals  of C++ Programming

2

Fundamentals  of Design Representation

3

Digital  design and intelligent manufacturing

3

General  Technology Module Course

2

Frontiers  Elective I

2

Frontiers  Elective IV

2

 

 

 

 

Introduction  to Artificial Intelligence (STEM)

2

Military  Theory

2

Marxist  Theory and Practice

2

Practical  Training: Engineering Surveying & Digital Architecture

2

Frontiers  Elective II

2

Frontiers  Elective V

2

 

 

 

 

Introduction  to Intelligent Transportation and Digital Construction

2

Freshman  Seminar II

1

Cognitive  internship

1

Industry-Academia  Collaborative Practice I (Digital Design)

2

Industry-Academia  Practice II (Construction Robotics)

2

Industry-Academia  Practice III (Big Data Analytics)

2

 

 

 

 

Military  Training

2

General  Education Elective

2

Engineering  Thinking Training I (Overall and Conceptual Design)

2

Engineering  Thinking Training II (Optimization Analysis & Construction)

2

Engineering  Thinking III (Construction Principles & Cost)

2

 

 

 

 

 

 

General  Education Elective

2

General  Education Elective

2

General  Education Elective

2

General  Education Elective

2

General  Education Elective

2

 

 

 

 

 

 

Total

27.5

 

25.5

 

25

 

24

 

24

 

20

 

4

 

10

 

V. Curriculum-Outcome Alignment Matrix

Serial number

Course Title

1

2

3

4

5

6

7

8

9

10

11

12

1

Ideological Morality and Rule of Law

 

 

 

 

 

 

 

2

An Outline of Xi Jinping Thought on Socialism  with Chinese Characteristics for a New Era

 

 

 

 

 

 

 

3

Outline of Modern and Contemporary Chinese  History

 

 

 

 

 

 

 

 

4

An Introduction to MAO Zedong Thought and the  Theoretical System of Socialism with Chinese Characteristics

 

 

 

 

 

 

 

 

5

The basic principles of Marxism

 

 

 

 

 

 

 

 

6

Situation and Policy

 

 

 

 

 

 

 

 

7

Academic English (I)

 

 

 

 

 

 

 

 

8

Academic English (II)

 

 

 

 

 

 

 

 

9

Introduction to AI  (STEM Track)

 

 

 

 

 

 

 

 

 

 

 

 

10

Fundamentals of Computing

 

 

 

 

 

 

 

 

11

Physical Education (I)

 

 

 

 

 

 

 

12

Physical Education (II)

 

 

 

 

 

 

 

13

Physical Education (III)

 

 

 

 

 

 

 

14

Physical Education (IV)

 

 

 

 

 

 

 

15

Military Theory

 

 

 

 

 

 

 

 

 

16

Calculus II (Part 1)

 

 

 

 

 

 

 

 

 

17

Calculus II (Part 2)

 

 

 

 

 

 

 

 

 

18

Linear Algebra & Analytic Geometry

 

 

 

 

 

 

 

 

 

19

Probability & Mathematical Statistics

 

 

 

 

 

 

 

 

20

University Physics I (Part 1)

 

 

 

 

 

 

 

 

 

21

University Physics I (Part 2)

 

 

 

 

 

 

 

 

 

22

Physics Laboratory I

 

 

 

 

 

 

 

 

 

23

Physics Laboratory II

 

 

 

 

 

 

 

 

 

24

Fundamentals of Design Representation

 

 

 

 

 

 

 

25

Python Programming

 

 

 

 

 

 

 

 

 

26

Intro to Smart Transport & Digital  Construction

 

 

 

 

 

 

 

 

27

Engineering Mechanics II

 

 

 

 

 

 

 

 

 

28

Engineering Geology & Materials

 

 

 

 

 

 

 

29

Data Structures & Algorithms II

 

 

 

 

 

 

 

30

Digital Design & Intelligent Manufacturing

 

 

 

 

 

 

 

31

Engineering Surveying & Digital Architecture

 

 

 

 

 

 

32

Principles of Structural Design

 

 

 

 

 

 

 

33

Fundamentals of Control Theory & Robotics

 

 

 

 

 

 

34

Artificial Intelligence & Machine Learning

 

 

 

 

 

 

35

Prefabricated Structural Design

 

 

 

 

 

 

 

36

Engineering Construction Principles & Smart  Technologies

 

 

 

 

 

 

 

 

37

Engineering Big Data Analysis & Applications  II

 

 

 

 

 

 

 

38

Smart Transportation & Sustainable  Development

 

 

 

 

 

 

 

 

 

 

 

39

Frontiers in Digital Design & Intelligent  Construction

 

 

 

 

 

40

Engineering Management in the AI Era

 

 

 

 

 

 

41

Digital Twin Watersheds & Future Water  Engineering

 

 

 

 

 

 

42

Future Urban Science: Intelligent Design &  Sustainable Systems

 

 

 

 

 

 

43

New Materials-Structures-Engineering: Mechanical  Thinking Applications

 

 

 

 

 

 

44

Civil & Transportation Lab Safety

 

 

 

 

 

 

 

45

Marine Renewable Energy

 

 

 

 

 

 

46

Fundamentals of Operations Research

 

 

 

 

 

 

47

Digital Image Processing & Applications

 

 

 

 

 

 

 

48

Material System Design & Construction

 

 

 

 

49

Technical Writing & Literature Retrieval

 

 

 

 

 

 

 

 

 

 

 

50

Structural Model Concepts & Experiments

 

 

 

 

 

 

51

Remote Sensing & Geospatial Technologies

 

 

 

 

 

 

 

 

 

52

Elasticity Mechanics I

 

 

 

 

 

 

53

Structural Analysis Principles &  Computational Fundamentals

 

 

 

 

 

54

Engineering Software System Design &  Development

 

 

 

 

 

 

 

55

Non-Destructive Testing & Intelligent Data  Analysis

 

 

 

 

 

56

Frontiers in Academic & Engineering  Innovation

 

 

 

 

 

 

 

 

 

57

Engineering Economics I

 

 

 

 

 

 

 

58

Engineering Law & Contracts I

 

 

 

 

 

 

 

59

Engineering Project Management I

 

 

 

 

 

 

 

60

Marine Spatial Development & Utilization

 

 

 

 

 

 

 

 

61

Green & Intelligent Design of Human  Settlements

 

 

 

 

 

62

Green Resilient Road Construction &  Maintenance Technologies

 

 

 

 

 

 

 

 

63

Modern Transportation Infrastructure Simulation  Technologies

 

 

 

 

 

 

 

 

64

Smart Underground Spaces & Engineering

 

 

 

 

 

 

 

 

65

Digital Construction Technologies for Tunnel  Engineering

 

 

 

 

 

 

 

 

66

Digital Bridge Engineering & AI Design

 

 

 

 

 

 

 

67

Engineering Safety Incident Analysis &  Emergency Response

 

 

 

 

 

68

Structural Intelligent Monitoring &  Engineering Diagnostics

 

 

 

 

 

 

 

 

 

 

 

69

High-Performance Structural Optimization &  Algorithm Design

 

 

 

 

 

 

 

 

70

Intelligent Diagnosis & Rehabilitation of  Underground Structure Performance

 

 

 

 

 

 

 

 

71

Earthquake Disaster Prevention & Mitigation  for Engineering Structures

 

 

 

 

 

 

 

72

Urban Digital Operations & Management

 

 

 

 

 

 

73

Entrepreneurship Practice

 

 

 

 

 

 

 

74

Innovation Research Training

 

 

 

 

 

 

 

75

Innovation Research Practice I

 

 

 

 

 

 

 

76

Innovation Research Practice II

 

 

 

 

 

 

 

77

Military Skills Training

 

 

 

 

 

 

 

 

78

Marxist Theory & Practice

 

 

 

 

 

 

 

 

79

Introductory Internship

 

 

 

 

 

 

 

 

80

Engineering Thinking Training I (System &  Conceptual Design)

 

 

 

 

 

81

Engineering Thinking Training II (Optimization  Analysis & Construction)

 

 

 

 

 

82

Engineering Thinking Training III (Construction  Principles & Cost)

 

 

 

 

 

83

Engineering Surveying & Digital Architecture  Practicum

 

 

 

 

 

84

Industry-Academia Collaborative Practice I  (Digital Design)

 

 

 

 

 

 

 

85

Industry-Academia Collaborative Practice II  (Construction Robotics)

 

 

 

 

 

 

 

86

Industry-Academia Collaborative Practice III (Big  Data Analytics)

 

 

 

 

 

 

 

87

Professional Internship

 

 

 

 

 

 

 

88

Graduation Project (Thesis)

 

 

 

89

Overseas Academic & Engineering Practicum

 

 

 

 

 

 

 

 

 

 

 

VI. Second Classroom

The Second Classroom consists of two components:Humanistic Quality Education and Innovation Capability Development.

1. Basic Requirements for HumanisticQuality Education

While completing the credit requirements of theirmajor program, students should appropriately participate in extracurricularhumanistic quality education activities based on their interests, accumulatingno fewer than 5 credits, including: Extracurricular sports courses offered bythe University PE Teaching Team (mandatory for upperclass undergraduates): 1credit (72 contact hours), counted toward Second Classroom humanistic qualityeducation credits. Mental Health Education for University Students: 2 credits,offered in a virtual third semester, counted toward Second Classroom humanisticquality education credits.

2. Basic Requirements for InnovationCapability Development

In addition to fulfilling their major programcredit requirements, students must participate in: National or GuangdongProvincial Innovation and Entrepreneurship Training Programs, Student ResearchProgram (SRP), Hundred-Step Ladder Climbing Plan, or Otherextracurricular innovation capability development activities (e.g., academiccompetitions, lectures, etc.) for a specified duration. The accumulated creditsfrom these activities must be no fewer than 4 credits.