Follow up to #8

 Gemini 2.5 Pro for 2-stage amp, Freq Response

Claude Sonnet 4.5 Freq resp (all in one) vs. staged

staged calculation leads to better, more accurate results.

vibe coding using AI Studio

 video summary and chat

voice chat

storyboard

ASML

Substrate

Substrate vs. ASML

A* macro thinking for electronic engineering problems

schematic

A* macro thinking framework

A* macro

Framework  (circuit analysis search tree)

Visualization 

2-stage amp

Bode plot visualization

Colab

CE  (Small-signal transistor gain analysis)

 

HW#8 A* macro thinking Part 3 (Backtracking)

 課堂練習 

Deadline: Regularly This Saturday at 23:59 因期中考緣故繳交日延後一周（11/10/2025）

Send all the links to  me chang212@gmail.com by email with subject HW#8   [your id, your name].

1. 使用聰明狗 A*模胚，模擬聰明狗 A* 每個情境的動畫

All nodes of A* tree manually simulated

2. 續上題，依據決策樹自動模擬每個情境

All nodes of decision tree auto fully simulated

3. 提升美學與完成度，進入v1從這裡開始

boot up

4. Solve for the gain.  Then Frequency response. 

source

5. Solve for the gain. Then frequency response

source

schematic

參考解答

Gemini 2.5 Pro for 2-stage amp, Freq Response

Claude Sonnet 4.5 Freq resp (all in one) vs. staged

staged calculation leads to better, more accurate results.

plot bode plot gain vs. Hz from staged computation

plot bode plot phase vs. Hz

 以上參考答案

(4) -4 (5) 8513  答案誤差10%以內都是正常的

Backtrack

• 會犯錯然後更正的機器更強大

1. Application of Reed-Solomon codes
2. Hamming code
3. Reed-Solomon codes
4. Computer Network
5. Deep Learning Neural Networks
6. A* search

• 
  
  
  
  

Build A* tree synced with animation 

Examples: 

• Noodle +  Wave
• Noodle + blue pool 

• boot up

• backtrack

• All nodes of A* tree manually simulated, share (Data visualization techniques)
• All nodes of decision tree auto fully simulated, share (Full Demo)
• portrait (Run A*), node manually interactive

boot up

backtrack

All nodes of A* tree manually simulated

All nodes of decision tree auto fully simulated

portrait (Run A*), node manually interactive

Advanced visualization with backtrack included and transit animated (Data visualization techniques) 

HW#7 Complex Constraints (Synchronization)

建議工具

使用 Claude Sonnet 4 推理模式(手動切換，免費用戶額定時間內只能使用三次)

使用 ChatGPT 5 推理模式(自動切換)

使用 Gemini 2.5 Pro 免費額度最高 1M tokens (永遠推理模式)

使用 Grok 4 推理模式(自動切換)

---

課堂練習 

Deadline: This Saturday at 23:59

Send all the share links to  me chang212@gmail.com by email with subject HW#7 [your id, your name]

任選兩題

1. 推理模式 special topic Smart Dog Ball Retrieval 

Given resources as below

• Build an animation of A* search tree (artifact) based on A* template
• more complete and more aesthetic

Build A* tree synced with animation 

Examples: 

• Noodle +  Wave
• Noodle + blue pool 

• boot up

• backtrack

• All nodes of A* tree manually simulated, share (Data visualization techniques)
• All nodes of decision tree auto fully simulated, share (Full Demo)
• portrait (Run A*), node manually interactive

Build an animation of A* search tree (artifact)

\

Optimal solution by A*

 

pruned by A* (illegal state)

 

2. 搶救感恩節晚餐大作戰講義 題目 結果視覺化

至少做兩種工程圖

 狀態圖(State Diagram) 

 (interactive timeline) artifact state diagram

 (interactive timeline) artifact map version

state diagram with aligned timeline

Build Location centered animation

看板圖 (Kanban)

 (interactive timeline)

流程圖(Flow chart)

 (interactive timeline) artifact state diagram

flow

flow

3. Dinner Operation A* macro thinking

Build A* search animation

 

A* search tree animation in detail

Advanced visualization with backtrack included and transit animated (Data visualization techniques) 

note:  Under A* search heuristics,  backtracking does not happen in this case. Therefore, "backtracking" here is a borrowed concept. Tree may not be accurate as Sarah is left out on the goal path.