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| 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 (6252) | TBA | TBA | FRANZ, RACHEL HOU, Yun KUO, YI LUNG LI, Ran WANG, Binzhe WU, Cai XIAO, Dianxun XIONG, Wanru YANG, De YU, Liuqian ZHANG, Xuning ZUO, Ruiting | 250 | 0 | 250 | 0 |
| PREVIOUS CODE | UGOD 6100B |
|---|---|
| DESCRIPTION | This course familiarizes students with modeling urban systems using Network Science and Agent-Based Modeling (ABM). They will design and implement simulations to study urban phenomena such as human dynamics and urban development. Through ABM, students will create computational models of individual agents interacting within urban environments to explore emergent patterns and complex system behaviors. Through Network Science, students will learn to represent urban systems as graphs and apply machine-learning techniques to analyze networks like street layouts and mobility patterns. |
| Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
|---|---|---|---|---|---|---|---|---|
| L01 (6513) | Th 06:30PM - 09:20PM | Rm 103, E1 | WU, Cai ZHANG, Haoxiang | 15 | 0 | 15 | 0 |