| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| The goal of this course is to understand the basic concepts of statistics and become familiar with common data analysis techniques. Through hands-on experience with real-world datasets, students will learn how to appropriately analyze data and extract useful insights. |
| 3.Professional Knowledge in Statistical Analysis |
| 7.Theory of Mathematical Analysis, Statistics, and Mechanics |
|
|
| topic Discussion/Production |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Oral Presentation |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Overview and Software Installation |
| Week 2 |
Data Input and Output |
| Week 3 |
Flow Control |
| Week 4 |
Data Structures and Functions |
| Week 5 |
Comparing Differences |
| Week 6 |
Operations on Matrices |
| Week 7 |
Student Presentation 1 |
| Week 8 |
Estimation and Optimization |
| Week 9 |
Merging and Filtering Data |
| Week 10 |
Association and Prediction |
| Week 11 |
Association and Prediction |
| Week 12 |
Association and Prediction |
| Week 13 |
Unsupervised Learning |
| Week 14 |
Unsupervised Learning |
| Week 15 |
Unsupervised Learning |
| Week 16 |
Student Presentation 2 |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
03.Preparing presentations or reports related to industry and academia.
|
|
| Evaluation |
Quizzes: 28%
Presentation 1: 36%
Presentation 2: 36% |
| Textbook & other References |
Hansjörg Neth (2025). Introduction to data science (i2ds). Available at https://bookdown.org/hneth/i2ds/
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2022). An introduction to statistical learning: with applications in R (2nd ed). Springer. |
| Teaching Aids & Teacher's Website |
| The iLearning site will host the uploaded materials |
| Office Hours |
| Tuesday 13:00~15:00 |
| Sustainable Development Goals, SDGs(Link URL) |
| 08.Decent Work and Economic Growth 09.Industry, Innovation and Infrastructure | include experience courses：N |
|