| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| 可靠度為統計分析中重要之一門學科。內容主要包含以下課題：Models, Censoring, and likelihood for failure-time data; Planning life tests; degradation Data, models, and data analysis; analysis of repairable system and other recurrence data; failure-time regression analysis; accelerated life test. |
|
|
| topic Discussion/Production |
| Networking/Distance Education |
| Exercises |
| Discussion |
| Lecturing |
|
| Written Presentation |
| Attendance |
| Oral Presentation |
| Assignment |
| Quiz |
| Internship |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Concepts and Data |
| Week 2 |
Models |
| Week 3 |
Nonparametric Estimation |
| Week 4 |
Location-Scale-Based Parametric Distributions |
| Week 5 |
Other Parametic Distributions |
| Week 6 |
Probability Plotting |
| Week 7 |
Parametric Likelihood |
| Week 8 |
Midterm Exam/ Report |
| Week 9 |
Maximum Likelihood for Log-Location-Scale Distributions |
| Week 10 |
Bootstrap Confidence Interval |
| Week 11 |
Planning Life Tests |
| Week 12 |
Parametric Maximum Likelihood: Other Models |
| Week 13 |
Prediction of Future Random Quantities |
| Week 14 |
Degradation Data |
| Week 15 |
Bayesian Methods |
| Week 16 |
Final exam/ report |
self-directed
learning |
06.Participation in field trips and outdoor instructional activities at other NCHU campuses or branches, including experimental forests or test sites.
MOOCs |
|
| Evaluation |
小考/出席率（～60%）：補考成績*70%
學習筆記/作業（～20%）
大考/報告（～10%）
其他（～10%）
平常請自行確認成績/學期結束後不開放查詢
總成績會做調整/最高96分/無補救方式 |
| Textbook & other References |
| Statistical Methods for Reliability Data, William Q. Meeker, Luis A. Escobar |
| Teaching Aids & Teacher's Website |
| https://www.youtube.com/@chang-yunlin3868 |
| Office Hours |
| 下課後 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|