軟體創意專題

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

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.

http://duckietown.nctu.edu.tw/ http://duckietown.mit.edu/ http://news.mit.edu/2016/self-driving-cars-meet-rubber-duckies-0420

1.學期作業: Students will work in teams, with 2-3 people who have diverse background for collaborative efforts in hardware and software. Each team can choose either 1) a challenge in “Duckietown” or 2) your choice of project to be useable for at least one real person (client). 2. 考試狀況: There will be midterm/final presentations and in-class quiz/discussions. 3.評量方法: - Class Participation, In Class Quiz, Problem Sets (10%) - Midterm Presentation (30%) - Final Presentation (30%) - Project Report & Demo Video (30%)

1. Refactoring: Improving the Design of Existing Code, Martin Fowler. 2. Introduction to Autonomous Robots, Nikolaus Correll, 2015.