Data Analysis
Course Code
MA2181
Number of Credits
4
Semester
Course Type
Study Material
| Study Material | Depth |
|---|---|
| Descriptive Statistics | Expert |
| Descriptive StatisticsDistributions and parameters. Summary of data. Probability and Bayes' Theorem | Express |
| Random variables, probability functions and distribution functions | Expert |
| Expectation: mean and variance | Expert |
| Discrete distribution and continuous distribution | Expert |
| Sample distribution | Explore |
| Statistical inference: point and interval estimation | Expert |
| Mean and variance test | Expert |
| Multidirectional analysis of variance | Expert |
| Simple Linear Regression and correlation | Expert |
| Time Series Analysis | Express |
| Quality Control Statistics | Express |
| Spatial Analysis | Express |
Graduate Learning Outcomes (GLO) carried by the course
| CPMK Code | Course Learning Outcomes Elements (CLO) |
|---|---|
| CPMK 1 | To have knowledge and logic understanding about factual based-problems which coherent with the concept of mathematics and statistics. |
| CPMK 2 | To have skills in formulating, processing, and analyzing the data and to make conclusion based on the problems. |
| CPMK 3 | To use statistics software and to interpret the result as reference in decision making. |
Learning Method
- Lectures, group discussions, case studies, collaborative learning, cooperative learning, project-based learning, problem-based learning
Learning Modality
- Online/hybrid/offline , Independent/group
Assessment Methods
- Quizzes, Assignments, Practicum, Mid Semester Exam, End Semester Exam, Large Assignment (poster)