Big Data Analytics (IMFI), Fall 2020

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: Chun-Hao Chen, 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 CSIE within our university, and my username is jhwang
Office: R1534, Technology Building (ext. 4238)
Office Hours: Mon. 9:10-12:00am, and Fri. 9:10-12:00am
Class Hours: Thu. 9:10-12:00am. R312, General Studies Building
TA: Mr. Chen (@ R1424, Technology Building)
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

Jan. 11, 2021: [NOTE] The current score has been announced. Please check if there's any questions as soon as possible.
Dec. 21, 2020: The schedule for term project presentation has been announced. Please check if there's any questions.
Dec. 10, 2020: [NOTE] HW#3 has been announced.
Nov. 5, 2020: [NOTE] HW#1 has been announced.
Oct. 16, 2020: The homepage for the second part of Big Data Analytics (IMFI, Fall 2020) has been setup.

(Tentative) Schedule (for the second part)

Week	Date	Content	Reading	Note
1	Sep. 17, 2020	(The first part)
2	Sep. 24, 2020	(The first part) (Leave for ROCLING 2020)
3	Oct. 1, 2020	(The first part) (Leave for Mid-Autumn Festival)
4	Oct. 8, 2030	(The first part)
5	Oct. 15, 2020	(The first part) (National Day)
6	Oct. 22, 2020	(The first part)
7	Oct. 29, 2020	Course Overview Introduction to Big Data Analytics Ch.2, Getting to Know Your Data	DM3, Ch.1 DM3, Ch.2
8	Nov. 5, 2020	Ch.3, Data Preprocessing	DM3, Ch.3	HW1
9	Nov. 12, 2020	Ch.6, Frequent Pattern Mining	DM3, Ch.6
10	Nov. 19, 2020	Ch.8, Classification: Basic Concepts	DM3, Ch.8	Due: HW#1 HW#2
11	Nov. 26, 2020	Ch.8, Classification		Proposal
12	Dec. 3, 2020	(Midterm Exam) (Leave for TAAI 2020)		Due: HW#2
13	Dec. 10, 2020	Ch.10, Cluster Analysis: Basic Concepts and Methods 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)	DM3, Ch.10	HW3 Due: Term Project Proposal
14	Dec. 17, 2020	(Leave for ICS 2020) 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 Programming in Spark & Colaboratory
15	Dec. 24, 2020	The MapReduce Programming Paradigm Spark Programming (Lab: Classification Example using Spark)		Due: HW#3
16	Dec. 31, 2020	(Term Project Presentation)
17	Jan. 7, 2021	(Term Project Presentation)
18	Jan. 14, 2021	(Term Project Presentation)

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. 19, 2020
HW#2 : Ch.6
Due: Dec. 3, 2020
HW3 : Ch.8
Due: Dec. 24, 2020

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 the website.

If you cannot successfully submit your work, please contact with 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. 10, 2020)
Presentations: *required* in the last three weeks (Dec. 31, 2020, Jan. 7, 14, 2021)
- Please check the current schedule for term project presentation. (as of Dec. 21, 2020)
Final report: *required* before the end of the semester (Jan. 15, 2021)

Exams

Midterm Exam: Nov. 9-13, 2020
- Date: Dec. 3 (Thu.) (TBD)
- Time: 9:10-12:00am
- Location: R312, General Studies Building
- Range: Ch. 2, 3, 6, 8, 10 (DM3)
Final Exam: Jan. 11-15, 2021
- (N/A)

Scores

Please check the homework submission site for more details.

Please check the current score . (including HW#1-3 and Midterm exam, as of Jan.11, 2021)

Created: Oct. 16, 2020.
Last Updated: Jan. 11, 2021.