軟體創意專題 - 105學年度
本課程是由 國立陽明交通大學電機工程學系 提供。
This course aims at developing software projects usable in real-world, and focuses on "learning by doing," "team work," and "research/startup oriented." We will cover fundamental and advanced development tools (git, ROS, OpenCV) in C++ or Python through "Duckietown," an open course "MIT 2.166 Autonomous Vehicles." Students are also welcome to form own teams and propose software projects (Android etc).
(This course is taught in English.)
課程用書：
Refactoring: Improving the Design of Existing Code, Martin Fowler.
Introduction to Autonomous Robots, Nikolaus Correll, 2015.
為求學習成效完美，請購買課本！
| 授課教師 | 電機工程學系 王學誠老師 |
|---|---|
| 課程學分 | 3學分 |
| 授課年度 | 106學年度 |
| 授課對象 | 大學生、研究生 |
| 預備知識 | This course involve a fair amount of programming. Students who took probability, linear algebra, image processing, and computer vision are encouraged to join, but not required. |
| 課程提供 | 課程影音 課程綱要 課程行事曆 |
課程目標
This course aims at developing software projects usable in real-world, and focuses on "learning by doing," "team work," and "research/startup oriented." We will cover fundamental and advanced development tools (git, ROS, OpenCV) in C++ or Python through "Duckietown," an open course "MIT 2.166 Autonomous Vehicles." Students are also welcome to form own teams and propose software projects (Android etc).
This course would have 3 sessions in each meeting :
1. 1.5 hours of lecture & interactive session
2. 1.5 hours of implementation
3. Evaluation
課程章節
| 章節 | 章節內容 |
| 單元一 | Introduction to Creative Software Project - Duckietown |
| 單元二 | Python Programming Introduction & OpenCV |
| 單元三 | Robot Operating System (ROS) & Gazebo |
| 單元四 | ROS Data & Visualization |
| 單元五 | Camera Setting and Calibration |
| 單元六 | Lane Filter & Control |
| 單元七 | Finite State Machine (FSM) |
| 單元八 | Special Project Topics |
課程書目
Refactoring: Improving the Design of Existing Code, Martin Fowler.
Introduction to Autonomous Robots, Nikolaus Correll, 2015.
課程參考資料
http://duckietown.nctu.edu.tw/
http://duckietown.mit.edu/
http://news.mit.edu/2016/self-driving-cars-meet-rubber-duckies-0420
評分標準
| 項目 | 百分比 |
| Class Participation, In Class Quiz, Problem Sets | 10% |
| Midterm Presentation | 30% |
| Final Presentation | 30% |
| Project Report & Demo Video | 30% |
本課程行事曆提供課程進度與考試資訊參考。
學期週次 | 上課日期 | 參考課程進度 |
第一週 | 2016/09/14 |
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| 第二週 | 2016/09/21 |
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| 第三週 | 2016/09/28 |
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| 第四週 | 2016/10/05 |
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| 第五週 | 2016/10/12 |
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| 第六週 | 2016/10/19 |
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| 第七週 | 2016/10/26 |
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| 第八週 | 2016/11/02 |
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| 第九週 | 2016/11/09 |
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| 第十週 | 2016/11/16 |
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| 第十一週 | 2016/11/23 |
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| 第十二週 | 2016/11/30 |
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| 第十三週 | 2016/12/07 |
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| 第十四週 | 2016/12/14 |
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| 第十五週 | 2016/12/21 |
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| 第十六週 | 2016/12/28 |
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| 第十七週 | 2017/01/04 |
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| 第十八週 | 2017/01/11 |
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