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    Tsinghua University
    Beijing, China

    Tsinghua University is situated around Tsinghua garden, originally an imperial garden of Qing dynasty, in the northwestern suburbs of Beijing. The University was instituted in 1911, originally under the name of Tsinghua Xuetang, as a preparatory school for students who would be sent by the government to study in the United States.

    Tsinghua University is one of the national key universities in China, comprising disciplines in sciences, engineering, management, humanities and social sciences, law, arts and design, as well as medical science. 49 disciplines are listed as National Key Disciplines. There are 13 schools and 54 departments, offering 61 Bachelor’s programs, 198 Master’s programs and 181 Doctoral programs.

    At present, Tsinghua has over 30,000 undergraduate and master’s students, and 5,156 PhD candidates. It has over 2,800 faculty members, including 34 academicians of the Chinese Academy of Sciences and 30 academicians of the Chinese Academy of Engineering. There are also one Nobel Laureate and one Turing Laureate among the faculty. Tsinghua University’s main research areas are information science and technology, life science, new materials, energy, environmental science, advanced manufacturing.

    Website: http://www.tsinghua.edu.cn

    VSE Season 2, 2021-22: Courses offered by Tsinghua University


    Application Deadline

    APPLICATION CLOSED
    Students must submit an application to the VSE Central Office before:
    Jan 9 2022, 12:00 noon Hong Kong Time (UTC+8)


    Course Information

    Click on the course titles to reveal full course details:

    Number of Credits2
    Offering DepartmentSchool of Maxism
    Course TeacherJianyu He
    Language of InstructionMandarin
    First Day of ClassFeb 25, 2022
    Last Day of ClassJun 10, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeFri 1330-1505
    Time ZoneUTC+8
    Course Description这是一门关于中国政府与政治的概论课程，通过讲述当代中国，尤其是改革开放之后政治体系及政策过程的发展与变革，带领学生了解与日常生活密切相关的政治体制、政府运行过程和政治活动方面的基本知识，并初步掌握分析中国政治的基本方法与批判性思维。
    RestrictionsN/A
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits1
    Offering DepartmentSchool of Social Sciences
    Course TeacherJing Qian
    Language of InstructionEnglish
    First Day of ClassFeb 21, 2022
    Last Day of ClassApr 11, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeMon 1330-1505
    Time ZoneUTC+8
    Course DescriptionThis course provides a brief introduction to the core concepts in psychology. Psychology has many captivating connections with events in everyday life, from how we see, how we think, to how we feel. In this course, you will learn how psychologists ask questions, evaluate evidence, and form theories that help to explain behavior. Topics include how the mind works, sensation and perception, learning and memory, judgement and decision making, consciousness, and development across the life-span. Class lectures emphasize an empirical approach to a scientific understanding of human behavior across these diverse domains.
    RestrictionsN/A
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits2
    Offering DepartmentSchool of Humanities
    Course TeacherTao Gu
    Language of InstructionMandarin
    First Day of ClassFeb 22, 2022
    Last Day of ClassJun 7, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeTue 1920-2055
    Time ZoneUTC+8
    Course Description孔子是封建社会的圣人，鲁迅则是现代中国的圣人。(毛泽东，1937)
    孔子问题是两汉以来中国文化的核心问题;孔子问题不解决，则中国现在文化的动向无法确定。(周予同，1933)
    All Chinese philosophy is nothing but a series of footnotes to Confucius.(Robert N. Bellah，2011)
    RestrictionsN/A
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits2
    Offering DepartmentDepartment of Electronic Engineering
    Course TeacherYuan Shen
    Language of InstructionEnglish
    First Day of ClassFeb 22, 2022
    Last Day of ClassJun 7, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeTue 0950-1125
    Time ZoneUTC+8
    Course DescriptionThis course will introduce students to the modelling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, limit theorems, and Markov chains.
    RestrictionsCalculus, Linear Algebra
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits3
    Offering DepartmentDepartment of Electronic Engineering
    Course TeacherCheng Ma
    Language of InstructionEnglish
    First Day of ClassFeb 25, 2022
    Last Day of ClassJun 10, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeFri 0950-1215
    Time ZoneUTC+8
    Course DescriptionElectromagnetic field and wave is the theoretical foundation for the studies of electrical circuits, optics, photonics, microwave systems, etc. It provides the basic method and tool for understanding, analyzing, and solving problems involving electromagnetism. The course will introduce vector analysis, Maxwell's equations, Lorentz force, electrostatics and magnetostatics, electrodynamics, propagation of EM waves, and radiation. Beside basic principles, the course will introduce a number of examples including electrical circuits, optical and RF waveguides, antenna, and electrical measurement in biomedical applications, such that the students can implement the theory to solve real-world problems.
    RestrictionsCollege-level math and physics are required.
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits2
    Offering DepartmentSchool of Humanities
    Course TeacherDag Westerståhl
    Language of InstructionEnglish
    First Day of ClassFeb 21, 2022
    Last Day of ClassApr 13, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeMon, Wed 1705-1840
    Time ZoneUTC+8
    Course DescriptionThe course presents basic facts which lie at the foundation of modern logic. First, we show that first-order logic itself is complete, in the sense that there is a simple system of axioms and rules (that we present) which derives all logical consequences of any given premises. Then we look at theories expressed in this language. After a glimpse of what one can say about models of such theories, we present Gödel's famous incompleteness theorems: in any axiomatic theory, which is free from contradiction and contains a bare minimum of arithmetic, there are true statements which cannot be proved in the theory. The methods used to show this lead to other important facts, such as Tarski's theorem on the undefinability of truth, and the fact that the freedom of contradiction of such a theory cannot be proved in the theory itself (the second incompleteness theorem). We discuss the philosophical import of these results, but our main focus is on how they are established. Finally, we show that first-order logic is undecidable: there is no effective method (computer program) which can decide, for any premises and conclusion, if the conclusion follows logically from the premises or not.
    RestrictionsIt is assumed that students have some understanding of the elementary content of logic, but there is no strict requirement.
    Points to Note for StudentsN/A
    Course OutlineLink
    Number of Credits3
    Offering DepartmentSchool of Economics and Management
    Course TeacherXiao Liu
    Language of InstructionEnglish
    First Day of ClassFeb 23, 2022
    Last Day of ClassJun 8, 2022
    Course ComponentLecture
    Mode of TeachingSynchronous
    Meeting TimeWed 1330-1505; Wed 1520-1655
    Time ZoneUTC+8
    Course DescriptionGame theory is a pillar of modern economics. It also plays an ever-increasing role in other social sciences as law and politics, and in natural science as biology. This course is an introduction to game theory, with 3 objectives:
    to understand basic ideas of game theory;
    to learn the basic concepts and analytical methods of game theory; and
    to acquire the preliminary ability of using game theory to observe economic behavior and phenomenon in the real world.
    RestrictionsPrinciples of Economics
    Points to Note for StudentsN/A
    Course OutlineLink


    The number of credits is shown as provided by the course offering university. The credit structure at the course offering university may be different from the one at your home university. Please contact the VSE Coordinator of your home university for credit transfer information.

    Course enrollment is subject to final approval from your home university and the course offering university.