| 年度 |
2026年度 |
開講部局 |
教養教育 |
| 講義コード |
63100801 |
科目区分 |
領域科目 |
| 授業科目名 |
Methods of Physics |
授業科目名
（フリガナ） |
|
| 英文授業科目名 |
Methods of Physics |
| 担当教員名 |
田中 晋平 |
担当教員名
(フリガナ) |
タナカ シンペイ |
| 開講キャンパス |
東広島 |
開設期 |
1年次生 後期 ３ターム |
| 曜日・時限・講義室 |
(3T) 木1-4：総K105 |
| 授業の方法 |
講義 |
授業の方法
【詳細情報】 |
対面 |
| Lecture materials are uploaded in Moodle. Read them and solve given exercises. Questions are welcome, and answered via Moodle. |
| 単位 |
2.0 |
週時間 |
4 |
使用言語 |
E
:
英語 |
| 学習の段階 |
1
:
入門レベル
|
| 学問分野（分野） |
25
:
理工学 |
| 学問分野（分科） |
06
:
物理学 |
| 対象学生 |
|
| 授業のキーワード |
Modeling, Dimensional analysis, Scaling, Measurement & uncertainty, Physical quantities, Numerical simulation |
| 教職専門科目 |
|
教科専門科目 |
|
教養教育での
この授業の位置づけ | Area Courses（Courses in Natural Sciences) Category：Physics / Astronomy / Applied Physics |
|---|
| 学習の成果 | By the end of the course, students will be able to:
* Build simple physics models from real phenomena and make testable predictions.
* Use units, scaling, and Fermi estimates to check formulas and identify dominant effects.
* Understand key quantities like energy and entropy and how they organize physical thinking.
* Design basic measurements and analyze data with calibration and uncertainty (plots, simple fits). |
|---|
| 授業の目標・概要等 |
Methods of Physics is a first-year course on how physicists build reliable knowledge from observations. Students learn modeling basics, key organizing quantities (energy, entropy, temperature, heat capacity), and practical tools like units, scaling, and order-of-magnitude estimates. The course also covers experimental measurement (calibration, uncertainty), data analysis (plots and fitting), and indirect methods such as fluctuation/response, plus a gentle introduction to numerical simulation and reproducible workflows. |
| 授業計画 |
1. What is a “method” in physics? Modeling and the scientific cycle
2. Units, dimensions, and nondimensionalization
3. Key physical quantities in science: energy, entropy, temperature, heat capacity, potentials
4. Scaling, approximation, and regimes
5. Order-of-magnitude estimation and sanity checks (Fermi problems)
6. Experimental design: controls, operational definitions, reproducibility
7. Measurement and calibration: instruments, resolution, systematic vs random errors
8. Uncertainty and error propagation; significant figures
9. Data visualization: choosing plots (log plots, linearization)
10. Data fitting and model checking (residuals, overfitting)
11. Fluctuations as a measurement tool (noise, variance, correlation time)
12. Response as a measurement tool (linear response, step/sine response, time constants)
13. Fluctuation–response connection (conceptual applications to material properties)
14. Differential equations as physics models (relaxation, stability, driven systems)
15. Numerical methods and simulation workflow (discretization, stability, Monte Carlo, reproducibility)
|
| 教科書・参考書等 |
Textbooks are introduced in the lecture. |
授業で使用する
メディア・機器等 |
テキスト, 配付資料, 映像資料, moodle |
| 【詳細情報】 |
Textbooks and handouts |
授業で取り入れる
学習手法 |
|
予習・復習への
アドバイス |
Solve all the exercises given in the lecture. Ask question both in the lecture and after lecture whenever you have problems to understand the concepts. |
履修上の注意
受講条件等 |
It is recommended to take Principles of Physics before taking this lecture. |
| 成績評価の基準等 |
Understandings of each topic are evaluated by the final examination and reports on exercises.
|
| 実務経験 |
|
実務経験の概要と
それに基づく授業内容 |
|
| メッセージ |
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| その他 |
|
すべての授業科目において，授業改善アンケートを実施していますので，回答に協力してください。
回答に対しては教員からコメントを入力しており，今後の改善につなげていきます。 |