Probability Theory
Course Code
TI2101
Number of Credits
2
Semester
3
Course Type
C
Related Courses
| No | Code | Course | Relation |
|---|---|---|---|
| 1 | TI2105 | Probability Theory | Equivalent |
Study Material
| Study Material | Depth |
|---|---|
| Understanding probability theory and its applications in industrial engineering | Express |
| The concept of sample space and events | Express |
| Elementary concepts of probability | Express |
| Random Variables and Probability Distributions | |
| Mathematical Expectation | Express |
| Discrete Theoretical Probability Distribution | |
| Continuous Theoretical Probability Distribution | |
| Random Numbers and Random Variables | Explore |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | Students are able to apply concepts in probability theory to help solve problems related to the industrial engineering discipline. |
| CPMK 2 | Students are able to use appropriate software to solve probability problems. |
Learning Method
- Lecture, Discussion, Case Study
Learning Modality
- Synchronous, Asynchronous
Assessment Methods
- Mid-term Test, Final Test, Assignments