Special Topics on Data Science in Physics
Course Code
FI4172
Number of Credits
2
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Basic principles of data science and computing | Express |
| Practical applications of data science and computing | Express |
| Comprehensive knowledge of data science and computing | Express |
| Models in data science and computing | Expert |
| Examples of data science and computing implementations | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Understand the application of data science and computing to solve physics problems |
| CPMK 2 | Able to apply data science and computing to help solve physics problems, especially related to experiments |
| CPMK 3 | Able to develop data science and computing systems to help solve physics problems |
| CPMK 4 | Able to work effectively, both individually and in groups |
| CPMK 5 | Able to think critically, logically, systematically and structured in solving physical system problems |
Learning Method
- Face to face, data science and computing practices, group work, RBL
Learning Modality
- Mastery of data analysis and programming
Assessment Methods
- Independent assignments, group assignments, quizzes, exams, and RBL