Computational Thinking and Data Science
Course Code
PL5162
Number of Credits
3
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Introduction to Programming Languages and Data Types | |
| Algorithm Basics | Expert |
| Searching and Sorting, Web Crawling | Expert |
| Inferential statistics | Expert |
| Mathematical foundations | Expert |
| Machine Learning and AI | Expert |
| Cluster analysis | Expert |
| Nonparametric Test | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Students are able to master the theory and practice of urban and regional planning and its application in plan preparation. Competencies acquired include urban informatics management, data modeling for urban efficiency, and formulating and evaluating policies and plans using spatial and/or dynamic modeling theories, methods, and tools. |
Learning Method
- Lectures and discussions, empirical studies / case studies, class debates, brainstorming, talk shows / panels, roundtables, guest lectures
Learning Modality
- Offline/mixed, synchronous, independent