Probability and Statistics
Course Code
ET2101
Number of Credits
3
Semester
3
Course Type
C
Related Courses
| No | Code | Course | Relation |
|---|---|---|---|
| 1 | ET2109 | Probability and Statistic | Equivalent |
| 2 | ET1201 | Discrete Mathematics | Prerequisite |
Study Material
| Study Material | Depth |
|---|---|
| Probability Theory | Expert |
| Statistics | Expert |
| Concept of Probability | Expert |
| Random Variables | Expert |
| Discrete Probability Distribution | Expert |
| Continuous Probability Distribution | Expert |
| Functions of Random Variables | Expert |
| Estimation Theory | Expert |
| Hypothesis Test | Expert |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Ability to understand scientific and mathematical relationships (principles or laws) and the necessary input to probability theory |
| CPMK 2 | Ability to identify and formulate technical problems in an application based on probability theory |
| CPMK 3 | Ability to analyze and solve technical problems in an application based on probability theory |
Learning Method
- Lecture
Learning Modality
- Synchronous Offline Asynchronous Online Hybrid
Assessment Methods
- quiz, Midtest, Final Test