Big Data Analytics (IMBA), Fall 2023

This course offers an introduction to the principles and concepts in big data analytics (BDA), which is gaining more popularity in recent years.
The course is offered for the International Master of Business Administration Program (IMBA). It's taught by two instructors: Jenq-Haur Wang, and Li-Chen Cheng.
This page is for the first part. The major topics covered in the first part include: data mining and distributed processing.

Course Information (for the first part)

Instructor: Jenq-Haur Wang
E-mail: mailbox at the domain of our university, and my username is jhwang
Office: R1534, Technology Building (ext. 4238)
Office Hours: Tue. and Fri. 9:10-12:00am
Class Hours: Thu. 13:10-16:00pm. R412, General Studies Building
TA: Mr. Yen (@ R1424, Technology Building)
Link to online courses (Team created in Microsoft Teams for Course Number [322390])
Textbook:
- Jiawei Han, Jian Pei, and Hanghang Tong, Data Mining: Concepts and Techniques, 4th ed., Morgan Kaufmann Publishers, Oct. 2022. ([DM4]) (selected chapters)
  Since the 4th edition might not be available yet, you can simply use the 3rd edition.
References:
- Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia, Learning Spark: Lightning-Fast Big Data Analysis, O'Reilly Media, January 2015.
- Bill Chambers and Matei Zaharia, Spark: The Definitive Guide, O'Reilly Media, 2018.
- Others: online documents (Hadoop, Spark), tutorials, and selected academic papers.

Latest News

Oct. 12, 2023: [NOTE] HW#2 has been announced.
Sep. 28, 2023: [NOTE] HW#1 has been announced.
Sep. 4, 2023: The homepage for the first part of Big Data Analytics (IMBA, Fall 2023) has been setup.

(Tentative) Schedule (for the first part - 9/21-10/26)

Week	Date	Content	Reading	Note
1	Sep. 14, 2023	Course Overview (by Prof. Cheng)
2	Sep. 21, 2023	Course Overview of Part I A Brief Introduction to Big Data Analytics Ch.2, Getting to Know Your Data	DM3, Ch.1 DM3, Ch.2
3	Sep. 28, 2023	Ch.3, Data Preprocessing	DM3, Ch.3	HW1
4	Oct. 5, 2023	Ch.6, Frequent Pattern Mining	DM3, Ch.6
5	Oct. 12, 2023	Ch.8, Classification: Basic Concepts	DM3, Ch.8	Due: HW#1 HW#2
6	Oct. 19, 2023	Ch.10, Cluster Analysis: Basic Concepts and Methods	DM3, Ch.10
7	Oct. 26, 2023	(Midterm Exam)		Due: HW#2
8	Nov. 2, 2023	TA: Review on the Midterm Exam
9	Nov. 9, 2023	(The second part)
10	Nov. 16, 2023	(The second part)
11	Nov. 23, 2023	(The second part)
12	Nov. 30, 2023	(The second part)
13	Dec. 7, 2023	(The second part)
14	Dec. 14, 2023	(The second part)
15	Dec. 21, 2023	(The second part)
16	Dec. 28, 2023	(The second part)
17	Jan. 4, 2024	(The second part)
18	Jan. 11, 2024	(The second part)

Homework Assignments, Labs, and Term Project (for the first part)

During the progress of the course, there will be several homework assignments for written exercises, and also some hand-on labs in class.

Homeworks

There will be about two written assignments for topics such as pattern mining, classification, and clustering.

HW#1 : Ch.2-3
Due: Oct. 12, 2023
HW#2 : Ch.6, 8
Due: Oct. 26, 2023

Please hand in your assignment before deadline according to the following instructions.

Submission Instructions

NOTE: Programs or projects in electronic files must be submitted directly to iSchool+.

If you cannot successfully submit your work, please contact with the TA and the instructor.

Exams

Midterm Exam: Nov. 6-10, 2023
- Date: Oct. 26 (Thu.)
- Time: 9:10am-12:00pm
- Location: R412, General Studies Building
- Range: Ch. 1, 2, 3, 6, 8, 10 (DM3)
Final Exam: Jan. 8-12, 2024
- (N/A)

Scores

Please check the homework submission site for more details.

Created: Sep. 4, 2023.
Last Updated: Oct. 18, 2023.