Introduction to Data Science

2021 Fall

[Announcement]

Please visit https://ncueeclass.ncu.edu.tw/ for more information.

[Couse information]

為提升數學系大學生資料科學理論與實作能力，此課程將以授課、期中競賽、期末計畫的形式，讓學生能將數學理論與程式實作連結來解決資料科學問題。本課程的平台為機器人，可透過雷射與相機擷取真實世界的資料，學生可以設計演算法解決真實問題(如辨識、追蹤、定位等等)。此課程為計資組組訂核心選修課(四科擇二)。

Instructor: Prof. Kuo-Shih Tseng

Time & classroom: Mon 123, M-429

Office hour: Mon 12pm-2pm

Office: Room 407, Hong-Jing building

[Requirements]

Familiarity of probability, linear algebra, and programming (e.g., C/C++, Python or MATLAB).

Due to the limited number of robots, only 30~40 students can take this course.

If you are interested in this course, please attend the first lecture.

If you would like to take this course, please send me (kuoshih@math.ncu.edu.tw) the following documents by the Friday of the 1st week:

A. 1-page SOP to explain why you want to take this course

B. Your transcript to demonstrate your ability in program, probability and linear algebra

C. Other supporting documents (e.g., programming competition award)

If you are qualified, I will give you a card to enroll in this course.

If you cannot enroll in this course, you still can be an audience.

However, you cannot use the robots & I will not grade your HW.

[Schedule]

DS schedule.xlsx

[Textbook]

Prof. Kuo-Shih Tseng’s slides.

[Grade]

作業 (X3) 30%

期中機器人競賽 30%

期末計畫提案 (1-2 page) 10%

期末計畫口頭報告與展示 10%

期末計畫報告 (4-8 pages) 20%

期中機器人競賽中，學生寫程式讓機器人執行同一目標(例如在系館偵測三個物件)，根據機器人效能評分。

期末計畫中，學生需提出一個資料科學的應用，透過撰寫程式到機器人上來解決資料科學的問題。

2021Fall 期末報告影片如下:

2020 Fall