Computational Materials Science 2026 Q2
2026年度Q2 計算材料学特論 (資料: 英語＋日本語版)

Lecture materials for numerical analyses (by Kamiya)
数値解析に関する講義資料・pythonプログラム (神谷担当分)

Update News:

• June 23, 11:42, 2026: Final version: Lecture materials for June 23 has been updated: course_materials.zip
• June 21, 16:25, 2026: Lecture materials for June 23 has been uploaded
• June 19, 10:49, 2026: Final version: Lecture materials for June 19 has been updated: course_materials.zip
• June 16, 15:38, 2026: Final version: Lecture materials for June 16 has been updated: course_materials.zip
• June 12, 17:17, 2026: Final version: Lecture materials for June 12 has been updated: course_materials.zip

Your assistants:

• Tutorial Videos (チュートリアルビデオ) [in Japanese] Programming
• Computational Material Science (数値解析) (Google NotebookLM Chatbot)
  
  Audio guide

  Audio guide generated by Google NotebookLM:
  Google NotebookLMで生成した音声解説:
• First-princples calculation (第一原理量子計算) (Google NotebookLM Chatbot)
  
  audio guide

  Audio explanation generated by Google NotebookLM:
  Google NotebookLMで生成した音声解説:

FY2026

#03 June 23, 2026: Smoothing (平滑化), Linear least-squares method (線形最小二乗法), Solusion of equation (方程式の解法)

Course materials (Lecture slides and python programs):

• course_materials.zip
• Slide files and Videos (monologue): tutorial web

5-8min audio guide:

• 日本語: (VOICEVOX 四国めたん&ずんだもん)
• English:

#03 June 19, 2026: Differential equation (微分方程式), Interpolation (補間), Smoothing (平滑化)

Course materials (Lecture slides and python programs):

• course_materials.zip
• Slide files and Videos (monologue): tutorial web

5-8min audio guide:

• 日本語: (VOICEVOX 四国めたん&ずんだもん)
• English:

#02 June 16, 2026: Numerical differentiation (数値微分), Numerical integration(数値積分), Differential equation (微分方程式)

Course materials (Lecture slides and python programs):

• course_materials.zip
• Slide files and Videos (monologue): tutorial web

5-8min audio guide:

• 日本語: (VOICEVOX 四国めたん&ずんだもん)
• English:

#01 June 12, 2026: Fundamentals of computer (コンピュータの基礎), Sources of error (誤差), Numerical differentiation (数値微分)

Course materials (Lecture slides and python programs):

• course_materials.zip
• Slide files and Videos (monologue): tutorial web

5-8min audio guide:

• 日本語: (VOICEVOX 四国めたん&ずんだもん)
• English:

python programs (everything in the course_materials.zip)

Fundamentals of computer

Sources of error

Differentiation

Numerical integration

Differential equation

Second-order differential equation

Simultaneous second-order differential equations

Interpolation

Smoothing

Linear least squares method

FY2025

#05 June 27, 2024: Numerical solution of equation/Optimization (Nonlinear LSQ) (方程式の数値解法/最適化 (非線形最小二乗法）)

#06 July 1, 2025: Fourier transform (フーリエ変換), Matrix (行列), Applications (その他応用)

教科書2025年度版 (日本語)

1. コンピュータの基礎と誤差
2. 数値微分、数値積分
3. 微分方程式、補間、平滑化