2 項進行中

115-1 選課時程

進行中

  • 初選第一階段 6/15 – 6/18
  • 初選第二階段 6/22 – 6/25
  • 校際選修 進行中 8/24 – 9/18
  • 初選第三階段 8/31 – 9/3
  • 開學後加退選 進行中 9/7 – 9/21
  • 逾期加退選 9/21 – 9/24
選課資源

加入行事曆

選擇訂閱 Google Calendar,或下載通用的 ICS 檔案。

使用 Google Calendar 時,Google 會收到這份課表的公開連結。

軟體創意專題

Creative Software Project

學期
106-1
學分
0 學分
當期課號
1094
永久課號
UEE3301
開課單位
電機工程學系
授課教師
王傑智、王學誠
校區
光復
類別
選修
上課時間表
週四
5
13:20–14:10
軟體創意專題
EDB01(光復)
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

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

先修科目

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.

備註

無備註

教學方式

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

評分方式

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%)

課程大綱

教師未提供此項資料

週次計畫
週次主題
第 1 週

Introduction to Creative Software Project - Duckietown

9/14
第 2 週

Python Programming Introduction & OpenCV

9/21
第 3 週

Robot Operating System (ROS) & Gazebo

9/28
第 4 週

ROS Data & Visualization

10/5
第 5 週

Camera Setting and Calibration

10/12
第 6 週

Lane Filter & Control

10/19
第 7 週

Lane Filter & Control (2)

10/26
第 8 週

Finite State Machine (FSM)

11/2
第 9 週

Midterm: Project Presentation

11/9
第 10 週

Special Project Topics (1)

11/16
第 11 週

Special Project Topics (2)

11/23
第 12 週

Special Project Topics (4)

11/30
第 13 週

Special Project Topics (5)

12/7
第 14 週

Special Project Topics (6)

12/14
第 15 週

Special Project Topics (7)

12/21
第 16 週

Special Project Topics (8)

12/28
第 17 週

New Year Holiday (No Class)

1/4
第 18 週

Final Project Presentation

1/11
教科書

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

Office Hours
地點
教師未提供此項資料
時間
教師未提供此項資料
聯絡方式
教師未提供此項資料