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 |
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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 |
|
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| 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 |
|
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| 2.0 | 5 | ||
033108532 | Principles and Program Foundation of Structural Analysis | Optional | 32 | 32 |
|
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| 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 |
|
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| 2.0 | 6 | ||
033108611 | The Application of WEB Programming in Civil Engineering | Optional | 16 | 16 |
|
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| 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 |
|
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| 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 |
|
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| 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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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General Education Elective | 2 | General Education Elective | 2 | General Education Elective | 2 | General Education Elective | 2 | General Education Elective | 2 |
|
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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 | ● |
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| ● | ● | ● |
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| ● |
2 | An Outline of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era | ● |
|
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|
| ● | ● | ● |
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| ● |
3 | Outline of Modern and Contemporary Chinese History | ● |
|
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| ● | ● |
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| ● |
4 | An Introduction to MAO Zedong Thought and the Theoretical System of Socialism with Chinese Characteristics | ● |
|
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| ● | ● |
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| ● |
5 | The basic principles of Marxism | ● |
|
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|
| ● | ● |
|
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| ● |
6 | Situation and Policy | ● |
|
|
|
|
| ● | ● |
|
|
| ● |
7 | Academic English (I) | ● |
| ● |
|
|
|
|
|
| ● |
| ● |
8 | Academic English (II) | ● |
| ● |
|
|
|
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|
| ● |
| ● |
9 | Introduction to AI (STEM Track) |
|
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10 | Fundamentals of Computing | ● |
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| ● | ● |
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| ● |
11 | Physical Education (I) | ● |
|
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| ● | ● | ● |
| ● |
12 | Physical Education (II) | ● |
|
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| ● | ● | ● |
| ● |
13 | Physical Education (III) | ● |
|
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| ● | ● | ● |
| ● |
14 | Physical Education (IV) | ● |
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| ● | ● | ● |
| ● |
15 | Military Theory | ● |
|
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16 | Calculus II (Part 1) | ● | ● | ● |
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17 | Calculus II (Part 2) | ● | ● | ● |
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18 | Linear Algebra & Analytic Geometry | ● | ● | ● |
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19 | Probability & Mathematical Statistics | ● | ● | ● |
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20 | University Physics I (Part 1) | ● | ● | ● |
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21 | University Physics I (Part 2) | ● | ● | ● |
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22 | Physics Laboratory I |
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23 | Physics Laboratory II |
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24 | Fundamentals of Design Representation | ● | ● | ● |
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25 | Python Programming | ● |
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26 | Intro to Smart Transport & Digital Construction | ● |
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27 | Engineering Mechanics II | ● | ● | ● |
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28 | Engineering Geology & Materials |
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29 | Data Structures & Algorithms II | ● | ● | ● |
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30 | Digital Design & Intelligent Manufacturing | ● | ● | ● |
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31 | Engineering Surveying & Digital Architecture | ● |
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32 | Principles of Structural Design | ● | ● | ● | ● |
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33 | Fundamentals of Control Theory & Robotics | ● | ● | ● | ● |
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34 | Artificial Intelligence & Machine Learning | ● | ● | ● |
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35 | Prefabricated Structural Design | ● | ● | ● | ● |
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36 | Engineering Construction Principles & Smart Technologies | ● |
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37 | Engineering Big Data Analysis & Applications II | ● | ● | ● |
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38 | Smart Transportation & Sustainable Development | ● |
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39 | Frontiers in Digital Design & Intelligent Construction | ● | ● |
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40 | Engineering Management in the AI Era | ● |
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41 | Digital Twin Watersheds & Future Water Engineering | ● |
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42 | Future Urban Science: Intelligent Design & Sustainable Systems | ● |
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43 | New Materials-Structures-Engineering: Mechanical Thinking Applications | ● |
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44 | Civil & Transportation Lab Safety | ● |
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45 | Marine Renewable Energy | ● |
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46 | Fundamentals of Operations Research | ● |
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47 | Digital Image Processing & Applications | ● | ● | ● |
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48 | Material System Design & Construction | ● | ● | ● |
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49 | Technical Writing & Literature Retrieval | ● |
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50 | Structural Model Concepts & Experiments | ● | ● |
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51 | Remote Sensing & Geospatial Technologies | ● |
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52 | Elasticity Mechanics I | ● | ● |
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53 | Structural Analysis Principles & Computational Fundamentals | ● | ● |
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54 | Engineering Software System Design & Development | ● | ● | ● | ● |
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55 | Non-Destructive Testing & Intelligent Data Analysis | ● | ● |
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56 | Frontiers in Academic & Engineering Innovation | ● |
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57 | Engineering Economics I | ● |
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58 | Engineering Law & Contracts I | ● |
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59 | Engineering Project Management I | ● |
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60 | Marine Spatial Development & Utilization | ● |
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61 | Green & Intelligent Design of Human Settlements | ● | ● | ● | ● |
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62 | Green Resilient Road Construction & Maintenance Technologies | ● |
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63 | Modern Transportation Infrastructure Simulation Technologies | ● | ● | ● |
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64 | Smart Underground Spaces & Engineering | ● | ● | ● |
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65 | Digital Construction Technologies for Tunnel Engineering | ● | ● | ● | ● |
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66 | Digital Bridge Engineering & AI Design | ● | ● | ● | ● |
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67 | Engineering Safety Incident Analysis & Emergency Response | ● |
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68 | Structural Intelligent Monitoring & Engineering Diagnostics | ● |
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69 | High-Performance Structural Optimization & Algorithm Design | ● | ● |
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70 | Intelligent Diagnosis & Rehabilitation of Underground Structure Performance | ● | ● | ● | ● |
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71 | Earthquake Disaster Prevention & Mitigation for Engineering Structures | ● | ● | ● | ● |
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72 | Urban Digital Operations & Management | ● | ● | ● | ● | ● | ● |
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73 | Entrepreneurship Practice | ● |
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74 | Innovation Research Training | ● |
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75 | Innovation Research Practice I | ● |
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76 | Innovation Research Practice II | ● |
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77 | Military Skills Training | ● |
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78 | Marxist Theory & Practice | ● |
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79 | Introductory Internship | ● |
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80 | Engineering Thinking Training I (System & Conceptual Design) |
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81 | Engineering Thinking Training II (Optimization Analysis & Construction) |
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82 | Engineering Thinking Training III (Construction Principles & Cost) |
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83 | Engineering Surveying & Digital Architecture Practicum | ● |
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84 | Industry-Academia Collaborative Practice I (Digital Design) | ● |
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85 | Industry-Academia Collaborative Practice II (Construction Robotics) | ● |
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86 | Industry-Academia Collaborative Practice III (Big Data Analytics) | ● |
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87 | Professional Internship | ● |
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88 | Graduation Project (Thesis) | ● | ● | ● | ● |
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89 | Overseas Academic & Engineering Practicum | ● |
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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.
