 |
| VECTOR | [0 credit] |
|---|---|
| EXCLUSION | PDEV 6800X |
| DESCRIPTION | The course is designed to strengthen students’ competence in teaching. It comprises 2 parts: Part 1 aims to equip all full-time research postgraduate (RPg) students with basic teaching skills before assuming teaching assistant duties for the department. Good teaching skills can be acquired through learning and practice. This 10-hour mandatory training course provides all graduate teaching assistants (GTA) with the necessary theoretical knowledge with practical opportunities to apply and build up their knowledge, skills and confidence in taking up their teaching duties. At the end of the course, GTAs should be able to (1) facilitate teaching in tutorials and laboratory settings; (2) provide meaningful feedback to their students; and (3) design an active learning environment to engage their students. In Part 2, students are required to perform instructional delivery assigned by their respective departments to complete this course. MPhil students are required to give at least one 30-minute session of instructional delivery in front of a group of students for one term. PhD students are required to give at least one such session each in two different terms. Graded PP, P or F. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| T07 (6311) | 13-OCT-2025 - 14-NOV-2025 Tu 09:00AM - 10:50AM | Rm 102, W4 | LI, Ran | 60 | 33 | 27 | 0 | |
| T08 (6312) | 13-OCT-2025 - 14-NOV-2025 Tu 01:00PM - 02:50PM | Rm 228, E2 | LI, Ran | 60 | 42 | 18 | 0 | |
| T09 (6313) | 13-OCT-2025 - 14-NOV-2025 Th 03:00PM - 04:50PM | Rm 228, E2 | LI, Ran | 60 | 49 | 11 | 0 |
| ATTRIBUTES | Common Core: Foundations (CTDL) |
|---|---|
| DESCRIPTION | This course is taught by a teaching team of a group of faculties from four Hubs to introduce the basics of critical thinking and data literacy. The course will be delivered using the problem-solving approach with interdisciplinary applications. The contents include barriers to critical thinking, characteristics of a critical thinker, argument, cognitive bias, logical fallacies, inductive reasoning, and simple probability and statistical models. Students will be equipped with critical thinking and data analyzing skills to analyze problems of reasoning, evaluate the truthfulness of evidence, examine the fallacies of thinking, construct valid arguments, and make better decisions in personal and professional life. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6422) | TBA | TBA | HOU, Yun KUO, YI LUNG LI, Ran XIONG, Wanru YU, Liuqian ZHANG, Xuning ZUO, Ruiting | 300 | 266 | 34 | 0 |
| DESCRIPTION | The goal of this course is to introduce students to data analysis methods and procedures commonly used in social sciences. During the course, students will acquire practical skills to be able to gather, generate, visualize and analyze quantitative data in social science research. |
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| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6554) | MoWe 06:00PM - 07:20PM | Rm 233, W1 | LI, Ran | 40 | 16 | 24 | 0 | |
| T01 (6555) | Fr 06:00PM - 06:50PM | Rm 233, W1 | LI, Ran | 40 | 16 | 24 | 0 |