上課方式: 使用科技英文學習掌握AI運用技巧,從實做中學習AI領域的技術應用能力與未來科學工程素養。
講授,工作坊,作業
學生請自行攜帶手機,平板或筆電。
syllabus (html)
Week 1: Introduction
(Prompt Engineering) 電子學 and beyond
Week 4: Search and Visualization
River Puzzles (Pz 2, Pz 20) by Chain of Thought vs. Search Algorithms
Search Algorithms: A*, BFS
Week 5: A* Applications and Visualization
Circuit Design Optimization by A*
Week 6: A* Applications and Visualization
Week 7 Analog IC Design (Parameter Optimization, Placement & Routing)
期中考不上課
Week 8-9: RF IC Circuit Design
極紫外光(EUV)光源, IEEE Spectrum: The Tiny Star Explosions Powering Moore’s Law
Week 10 Analog IC Design (Parameter Optimization, Placement & Routing)
- IC Placement & Routing slides
- Analog IC Design op 741
Week 11
- Overview of Circuit Design
Week 14-15: Reinforcement Learning
Follow up High Complexity Animation (slides html)
Reinforcement Learning (an introduction) slides
A* vs RL
Backup
Week OO: Scientific Visualization
AI 互動的基礎:如何與 AI 有效溝通 (Prompt 基礎篇) Pt 1
Week OO Engineering Visualization
Advanced visualization skills (立體,美學,完成度)
工程動畫 Pt 2
AI 互動的基礎:如何與 AI 有效溝通 (Prompt 基礎篇) Pt 2
Week OO: Scientific Animation in Special Topics
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