Probability and Statistics
Course Code
EP2001
Number of Credits
3
Semester
3
Course Type
C
Related Courses
| No | Code | Course | Relation |
|---|---|---|---|
| 1 | EP2091 | Probability and Statistic | Equivalent |
| 2 | MA1201 | Mathematics IIA (for Natural Sciences and Engineering) | Prerequisite |
| 3 | MA1101 | Mathematics I | Prerequisite |
Study Material
| Study Material | Depth |
|---|---|
| Random Variables | Expert |
| Probability Distribution | Expert |
| Statistical Inference & Estimation Theory | Expert |
| Statistical Inference | Expert |
| Stochastic Processes | Expert |
| Introduction to Big Data | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Understanding probability theory, both discrete and continuous, including basic calculations and combinations of various useful distributions, mean and variance, sample statistical analysis, and the central limit theorem |
| CPMK 2 | Able to solve common problems in the engineering world and common problems in electrical power engineering using probability and statistical methods. |
| CPMK 3 | Know and understand several basic statistical methods as a foundation for further studies that use statistics as a tool. |
Learning Method
- Lectures, Discussions, Assignments, Independent Activities
Learning Modality
- Offline, Synchronous
Assessment Methods
- Quiz, Assignments, Midterm Exam, Final Exam