VECTOR | [1-3 credit(s)] |
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DESCRIPTION | An independent research project carried out under the supervision of a faculty member. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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R14 (6050) | TBA | No room required | YU, Luwen | 5 | 0 | 5 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course is for students who want to improve their skills in designing and optimizing research experiments. It focuses on helping students understand the difference between exploring new ideas and confirming what we already know. The course covers key concepts like how to plan experiments, test different variables, and find the best solutions using advanced techniques. Students will also learn both quantitative (numbers-based) and qualitative (observation-based) research methods, giving them a strong foundation for conducting experiments. Along with learning how to design experiments, students will get hands-on experience with statistical tools to analyze data and make informed decisions. By the end of the course, students will be confident in using these methods to solve real-world problems and improve processes in different areas of research. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6032) | Mo 03:00PM - 05:50PM | Rm 103, E1 | WANG, Yuyang YU, Luwen | 20 | 0 | 20 | 0 |
VECTOR | [0-1-0:1] |
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DESCRIPTION | A regular series of seminars presenting research problems currently under investigation. Graded P or F. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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T01 (6027) | Mo 10:30AM - 11:50AM | CMA Lab 3/F, E2 | WANG, Zeyu YU, Luwen | 80 | 0 | 80 | 0 |
VECTOR | [2-0-0:2] |
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DESCRIPTION | This inquiry-based course aims to introduce students to the concepts and skills needed to drive digital transformation in the information age. Students will learn to conduct research, explore real-world applications, and discuss grand challenges in the four thrust areas of the Information hub, namely Artificial Intelligence, Data Science and Analytics, Internet of Things, and Computational Media and Arts. The course incorporates various teaching and learning formats including lectures, seminars, online courses, group discussions, and a term project. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6079) | We 02:30PM - 04:20PM | Lecture Hall B | CHEN, Huangxun TANG, Nan WANG, Xin YU, Luwen | 200 Quota/Enrol/Avail For PhD students only: 100/0/100 | 0 | 200 | 0 |