| 課程與核心能力關聯配比(%) |
課程目標之教學方法與評量方法 |
| 課程目標 |
核心能力 |
配比(%) |
教學方法 |
評量方法 |
1. Learn the principles and characteristics of analytical instruments.
2. Understand the sources of measurement errors in different instruments. |
| 1.A物理、化學、數學及生物等基本知識 |
| 2.B規劃與執行實驗、評析問題與闡釋數據之能力 |
| 3.C解決環境污染及促進永續發展之工程專業知識及應用工具之能力 |
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| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共18週) |
| 週次 |
授課內容 |
| 第1週 |
Introduction |
| 第2週 |
Evaluation of Analytical Data |
| 第3週 |
Introduction to Temperature Measurements |
| 第4週 |
Thermocouples |
| 第5週 |
Heat Flux Gauges |
| 第6週 |
Calorimetry (Temperature, Gas Sensors, & Flow Velocity Measurements) |
| 第7週 |
No Class (Qingming Tomb Sweeping) |
| 第8週 |
Midterm Exam |
| 第9週 |
Introduction to Spectrometric Methods |
| 第10週 |
Optical Atomic Spectroscopy & Atomic Absorption Spectrometry |
| 第11週 |
Ultraviolet-Visible Molecular Absorption Spectrometry (Introduction & Applications) |
| 第12週 |
Infrared Spectrometry (Introduction & Applications) |
| 第13週 |
Chromatographic Separation (Introduction) |
| 第14週 |
Gas & Liquid Chromatography |
| 第15週 |
Thermal Analysis Techniques |
| 第16週 |
Final Exam |
| 第17週 |
Self-directed learning (Research into other analytical methods & applications) |
| 第18週 |
Self-directed learning (Material on Data Interpretation & Scientific Misconduct) |
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| 學習評量方式 |
| Participation (10%), Midterm Exam (45%), Final Exam (45%) |
| 教科書＆參考書目(書名、作者、書局、代理商、說明) |
1. Skoog, D., Holler, F., Crouch, S. (2016). Principles of Instrumental Analysis, 7th edition. Brooks/Cole.
2. Nicholas, J.V., White, D.R. (2001). Traceable Temperatures – An Introduction to Temperature Measurement & Calibration, 2nd edition. Wiley
3. Bergman, T., Lavine, A., Incropera, F., Dewitt, D. (2011). Fundamentals of Heat and Mass Transfer, 7th edition. Wiley.
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| 課程教材（教師個人網址請列在本校內之網址） |
| Handouts, uploaded to iLearning |
| 課程輔導時間 |
| One hour per week or by appointment |
| 聯合國全球永續發展目標 |
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