This Tsinghua University course (graduate-level) is a part of the Global Hybrid Classroom (GHC) Certificate program.
Since 2010 when it launched a graduate program in advanced computing for international students, the Department of Computer Science and Technology has developed a curriculum system including 14 courses taught in English, which was nominated by Forbes as one of the world’s top ten graduate programs in artificial intelligence and data science in 2020.
Since 2021, the Department has risen to the difficulties in teaching caused by the COVID-19 outbreak, developed more scenarios for teaching, launched quality courses to universities overseas, and attracted more than ten students from universities overseas to its courses through hybrid teaching. Based on the plans and visions of the Ministry of Education and the University, the Department plans to further integrate hybrid classrooms.
“Advanced Courses for AI and Big Data” certificate is compromised of 1 compulsory course and 4 electives:
Five courses are offered, of which “Combinatorics and Algorithm Design” is compulsory, and students are required to take three out of the remaining four electives. Certificates will be conferred to students who finish the courses and meet relevant requirements.
Complusory
This course covers topics in Combinatorics and Algorithms Design. We comprehensively discuss basic concepts, theories, methods, and instances in Combinatorics while focusing on concepts and ideas. Selected topics include: the Pigeonhole Principle, counting, combinations, Polya counting, recurrence relations and generating functions, graph, and linear programming etc. We also discuss basic mathematics concepts in algorithms design including growth of function, Big-O notations and recurrence relations etc., and basic strategies of algorithms design including search, divide and conquer, and greedy etc. Finally, we show examples of algorithms design in Combinatorics, including basic algorithms on Graph, minimum spanning tree algorithms, and algorithms for linear programming etc.
Reference textbook:
- Winston, Wayne L. and S. Christian Albright, Practical Management Science. Revised, 3nd Ed. Cengage Learning, 2008.
- Hillier, Frederick S. and Gerald J. Lieberman, Introduction to Operations Research. 8th Ed. McGraw Hill, 2005 (Authorized Reprint Edition by Tsinghua University Press).
Associate Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Associate Research Fellow of the Department of Computer Science and Technology, Tsinghua University; Member of the Committee for International Cooperation of China Computer Federation (since 2008). Main research areas: solving the core problems in unsupervised and semi-supervised learning of high-dimensional data (such as text data, biological data, and scientific data).
Associate Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Associate Professor of the Department of Computer Science and Technology, Tsinghua University. Mainly engaged in basic algorithm research on integrated circuit design automation, floorplanning algorithm, 3D chip planning and design, floorplanning and design for microprocessor performance optimization, and planning and design for power and latency optimization, and so on.
Students are required to take three out of the four electives
The course introduces the advanced theory of machine learning and its related algorithms. The course will first review the state-of-the-art machine learning algorithms and the course’s content mainly consists of probabilistic generative learning and probabilistic discriminative learning. (1) Course Introduction; (2) Basic ML algorithms review; (3) Support Vector Machines; (4) Probabilistic topic model; (5) Markov Random Fields; (6) Non-Parametric Bayesian Learning; (7) Deep Learning; (8) Future trend.
Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Professor of the Department of Computer Science and Technology, Tsinghua University.
Executive Editor of TKDD; Editorial Board Member of IEEE TKDE, ACM TIST, IEEE TBD and Science China; Deputy Director of the Committee on Chinese Information Technology of China Computer Federation; Deputy Director and Secretary-general of the Committee on Social Media Processing of the Chinese Information Processing Society of China; Vice Chairman of KDD 2018; Chairman of the Program Committees of WWW 2018, CIKM 2016, WSDM 2015, and ASONAM 2015. Research areas: artificial intelligence, social networking, data mining, machine learning, and knowledge graphs.
Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Professor of the Department of Computer Science and Technology, Tsinghua University.
Associate Editor-in-Chief of IEEE Trans. on PAMI; Member of the Committee on Academic Affairs of China Computer Federation.
He once served as Adjunct Professor at Carnegie Mellon University, Associate Editor of IEEE Trans. on PAMI, ICML Field Chair, UAI Field Chair, NIPS Field Chair, and ICML Regional Co-Chair. Research areas: machine learning, Bayesian inference, deep learning, and data mining.
The course introduces natural language processing (NLP), from its history to recent advances in deep learning applied to NLP. NLP is one of the most important technologies in Artificial Intelligence. NLP aims at enabling computers to understand human languages and communicate with humans. There are a large variety of tasks and machine learning methods in NLP.
Natural Language Processing syllabus.pdf
Associate Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Associate Professor of the Natural Language Processing Group at the Department of Computer Science and Technology, Tsinghua University.
He has received a First-Class Award in Natural Science in the Ministry of Education’s Higher Education Outstanding Scientific Research Output Awards (Science and Technology), the Science and Technology Award of the Chinese Information Processing Society of China, and Qian Weichang Chinese Information Processing Science and Technology Award, and has been selected into the National Young Top-Notch Talent Program. Research interests: knowledge graph and semantic computing, social computing and computational social sciences.
The course starts with an overview of the big data analytics, clustering and distributed programming. We will also cover methods for processing big data as well as optimization techniques. Graph processing and visualization of big data will be covered. There will be labs and projects which allow students to experiment with real data and apply the knowledge of what they learnt in class.
Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Professor of the Department of Computer Science and Technology, Tsinghua University.
Director of the Department of Computer Technology and Application of Qinghai University; Deputy Chief Executive Officer of the China Computer Federation; Vice Chair of the ACM China Council. Research areas: parallel processing, programming systems.
This course gives a survey to the new research branches, introduces the state-of-the-art technologies, and discusses open problems and challenges in web information retrieval (IR). At the same time, the course focuses on the real applications in the internet environment through case study and detailed analysis on commercial search engines (SE).
The main topics of the course include (but are not limited to): IR in a web environment, such as link analysis, anti-spam, etc; question answering; opinion/ sentimental analysis; social media and IR; personalized IR and recommendation; user behavior analysis; online advertisement; mobile search; and IR and SE evaluations.
The course is composed of lectures and student-conducted discussions.
Web Information Retrieval syllabus.pdf
Associate Professor, Department of Computer Science and Technology, Tsinghua University
PhD, Associate Professor of the Department of Computer Science and Technology, Tsinghua University.
Deputy Director of the Key Laboratory for Intelligent Technology and Systems, Deputy Director of the Ministry of Education-Microsoft Key Laboratory for Network and Media Technology of Tsinghua University; Editorial Board Member of ACM Transaction on Information Systems (TOIS); ACM SIGIR19 Tutorial Chair; WSDM19 Workshop Chair; EVIA19 PC Chair; SIGIR18 Short Paper Chair; WSDM17 PC Chair; IJCAI16 DC Chair; Member of the Chinese Information Processing Society of China; Member of the Information Retrieval Committee and the Social Media Computing Committee of the Chinese Information Processing Society of China; Member of the Special Committee on Machine Learning, and Special Committee on Artificial Psychology and Artificial Sentiment of the Chinese Association for Artificial Intelligence; Member of the Committee on Chinese Information Technology of China Computer Federation. Research areas: information retrieval, personalized recommendation, user behavior analysis, and machine learning.
Global Hybrid Courses (GHC) is currently open to current students from overseas partner universities of Tsinghua University, and it’s free. If your university (instructor or students) would like to join the program and experience what it is like to teach and learn in a truly global classroom, please contact the Assistant Secretary-General of the Global MOOC Alliance at [email protected] or [email protected].
How to attend our GHC courses?
- Tsinghua University will send the list of GHC courses to overseas partner universities every semester. These universities will notify students to enroll and priority will be given to students eager to take part
- Students from overseas partner universities have to complete the courses required by the GHC Certificate within a specified time. After completing each course, they will receive a GHC transcript issued by Tsinghua University.
- Students from overseas partner universities attending Tsinghua’s postgraduate courses, whose own universities do not allow for credit transfer, can enjoy credit exemption if they study for postgraduate degrees at Tsinghua University in the future.
How to apply for the certificate upon completion of the required courses?
- Please send your name, university, and GHC transcripts to us at [email protected]
