CS 5701-0

Brief

The ob<x>jective of this course is to offer an introduction to data science, emphasizing on both theory and hands-on capabilities. In this course, we first cover the topic of data acquisition and cleaning to understand how datasets are collected. Then, we introduce data analysis algorithms and theories to extract knowledge from the large volume of data and gain useful insights. We will also cover and discuss some important and active research topics in recent top conferences and journals.

Description

Course keywords: Data science, Data mining, Machine learning, Social network analysis, Data analysis This year, we will pay special attention on hands-on capabilities. We will assign 4-6 (tentatively) assignments for each active research field. 1. Introduction to Data Science 2. Data Acquisition 3. Machine Learning Approaches 4. Social Network Analysis 5. Important and Active Research Topics 指定用書： Lecture notes. No single text book. 參考書籍： (1) Introduction to Data Mining, by P.-N. Tan, M. Steinbach, V. Kumar, 2005 (ISBN:0321321367) (2) Doing Data Science, by C. O'Neil and R. Schutt, 2013 (ISBN: 978-1-4493- 5865-5) 成績考核(暫定)： Assignments: 50% Midterm: 30% Project: 20%

Timetable

Scores

Average GPA 3.86

Std. Deviation 0.58

PTT Reviews

Remarks

16週課程。上課方式：課堂教學+遠距輔助教學。

Restrictions

Compulsory

Elective

Cross Discipline

First Specialization

Second Specialization