Statistics and Data Analytics for Technology
สถิติและการวิเคราะห์ข้อมูลสำหรับงานเทคโนโลยี
Course description
descriptive statistics, probability, probability distributions, sampling, estimation, hypothesis testing, correlation, regression, data preparation, data visualization, and data analysis for technology-based decision making
Thai description
สถิติเชิงพรรณนา ความน่าจะเป็น การแจกแจงความน่าจะเป็น การสุ่มตัวอย่าง การประมาณค่า การทดสอบสมมติฐาน สหสัมพันธ์ การถดถอย การจัดเตรียมข้อมูล การแสดงผลข้อมูล และการวิเคราะห์ข้อมูลเพื่อการตัดสินใจทางเทคโนโลยี
Course learning outcomes (CLO)
| CLO | Outcome | PLO |
|---|---|---|
| CLO1 | Summarise and present data with descriptive statistics | PLO1PLO4 |
| CLO2 | Use statistical inference to evaluate test results | PLO1PLO4 |
| CLO3 | Analyse flight-log data with Python | PLO4 |
Learning modules
1Data and descriptive statistics
Weeks 1–3 · 27 hLesson 90 minquiz3 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
2Probability and distributions
Weeks 4–6 · 27 hLesson 90 minquiz1 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Descriptive statistics and probability distributionsIn development
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
3Confidence intervals and hypothesis tests
Weeks 7–9 · 27 hLesson 90 minquiz2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Statistical inferenceIn development
- SciPyTH
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
4Data analysis with pandas
Weeks 10–12 · 27 hLesson 90 minquiz2 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
- Data handling and visualisation with PythonIn development
- pyulogTH
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
5Experiments and interpreting test results
Weeks 13–15 · 27 hLesson 90 minquiz3 KU
Online (before class) · 15 h
Study the assigned knowledge units in advance, review media and take the module quiz
In class / field · 12 h
Lab or field practice from worksheets with a safety checklist
Assessment (draft)
| Labs and worksheets | 35% |
| Module quizzes | 10% |
| Midterm examination | 20% |
| Mini-project or practical exam | 35% |