Big Data Analytics (IMFI), Fall 2022

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 Program in Financial Technology and Innovation Enterpreneur (IMFI). It's taught by two instructors: Li-Chen Cheng, and Jenq-Haur Wang.
This page is for the second part. The major topics covered in the second part include: data mining and distributed processing.

Course Information (for the second 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. 9:10-12:00am. R411, General Studies Building
TA: Mr. Chang (@ R1424, Technology Building)
Link to online courses (Team created in Microsoft Teams for Course Number [307235])
Textbook:
- Jiawei Han, Micheline Kamber and Jian Pei, Data Mining: Concepts and Techniques, 3rd ed., Morgan Kaufmann Publishers, July 2011. ([DM3]) (selected chapters)
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

Nov. 15, 2022: The homepage for the second part of Big Data Analytics (IMFI, Fall 2022) has been setup.

(Tentative) Schedule (for the second part - 10/27-1/12)

Week	Date	Content	Reading	Note
1	Sep. 15, 2022	(The first part)
2	Sep. 22, 2022	(The first part)
3	Sep. 29, 2022	(The first part)
4	Oct. 6, 2022	(The first part)
5	Oct. 13, 2022	(The first part)
6	Oct. 20, 2022	(The first part)
7	Oct. 27, 2022	Course Overview Introduction to Big Data Analytics Ch.2, Getting to Know Your Data	DM3, Ch.1 DM3, Ch.2
8	Nov. 3, 2022	Ch.3, Data Preprocessing	DM3, Ch.3
9	Nov. 10, 2022	Ch.6, Frequent Pattern Mining	DM3, Ch.6	HW1
10	Nov. 17, 2022	Ch.8, Classification: Basic Concepts	DM3, Ch.8
11	Nov. 24, 2022	Ch.10, Cluster Analysis: Basic Concepts and Methods	DM3, Ch.10	Proposal Due: HW#1 HW#2
12	Dec. 1, 2022	(Midterm Exam)
13	Dec. 8, 2022	Introduction to Big Data Analytics Platforms: Hadoop, Spark, TensorFlow (Ref: Notes on installation, configuration, and management of Hadoop & Spark clusters) (Lab: Python Programming in Google Colab)		HW3 Due: HW#2 Due: Term Project Proposal
14	Dec. 15, 2022	The MapReduce Programming Paradigm Spark Programming Programming in Spark & Colaboratory
15	Dec. 22, 2022	(Leave for IEEE BigData 2022) TA: Introduction to Python programming, Google CoLab, distributed platform, Membership registration for Term Project, Introduction to Open Data, dataset aquisition TA: Examples in Spark programming (Lab: Classification Example using Spark)		Due: HW#3
16	Dec. 29, 2022	(Term Project Presentation: Week 1)
17	Jan. 5, 2023	(Term Project Presentation: Week 2)
18	Jan. 12, 2023	(Term Project Presentation: Week 3)

Homework Assignments, Labs, and Term Project (for the second 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 3 written assignments for topics such as pattern mining, classification, and clustering.

HW1 : Ch.2-3
Due: Nov. 24, 2022
HW2 : Ch.6
HW3 : Ch.8 & 10

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.

Labs

Due to the background of students this semester, it will be difficult to give hands-on labs or programming exercises in different platforms such as Spark and Jupyter Notebook.
Reference:

Notes on installation, configuration, and management of Hadoop & Spark clusters

Term Project

Instead, you are required to complete a term project in which open datasets can be anayzed using open source tools.

Proposal: one week after our midterm (Dec. 8, 2022)
Presentations: *required* in the last three weeks (Dec. 29, 2022, Jan. 5, 12, 2023)
Final report: *required* before the end of the semester (Jan. 13, 20223)

Exams

Midterm Exam: Nov. 7-11, 2022
- Date: Dec. 1 (Thu.) (TBD)
- Time: 9:10-12:00am
- Location: R411, General Studies Building
- Range: Ch. 2, 3, 6, 8, 10 (DM3)
Final Exam: Jan. 9-13, 2023
- (N/A)

Scores

Please check the homework submission site for more details.

Created: Nov. 15, 2022.
Last Updated: Nov. 15, 2022.