CSE 450 Course Plan Notes – Summer 2016
Section: F Course Instructor: Mohammad Mahmudur Rahman Grading Plan:
Theory
Final exam 40
Mid-term exam 25
3 Class tests [Spot test] 15
1. Data Preparation and cleaning 2. Classification and Prediction 3. Clustering
Attendance 7
Assignment: 2 (1 on dataset preparation + 1 on data mining) 5
Presentation: 2 (Based on assignment) 8
Total 100
Bonus marks
A) Marks awarded in class 5
B) Performance of a Kaggle contest 5
Activity List
Assignment 1 opens Theory 3rd week (May 21 – May 27) Classroom
Class Test 1 Theory 4th week (May 28 - June 3) Classroom
Assignment 1 submission and presentation
Theory 7th week (June 18 - June 24) Classroom
Mid-term exam Theory 8th week (June 25 - July 1) Exam hall
Assignment 2 opens Theory 9th week (July 9 – July 15) Classroom
Class Test 2 Theory 10th week (July 16 – July 22) Classroom
Class Test 3 Theory 13th week (August 6 – August 12) Classroom Assignment 2 submission and
presentation
Theory 14th week (August 13 – August 19) Classroom
Final exam Theory 16th
week (August 27 – September 3)
Exam hall
Course Reference Material
Name Author ISBN-13
Data Mining: Concepts and Techniques, Third Edition
Jiawei Han, Micheline Kamber and Jian Pei 978-0123814791
orange.biolab.si/getting-started/
www.kaggle.com
Curriculum Design
Theory 1.
• Introduction
• Course logistics
• Overview of data mining tasks
2.
• Data Warehousing
• Introduction to Orange and Weka 3.
• Data mining processes
• Data Cleaning and Dataset preparation
• Dividing dataset into training, validation and test sets
• Finding ready made dataset • Assignment 1 discussion 4. Association Rule Mining
5. Neural Network 6.
• Classification and Prediction • Regression
• Tree based approaches
• Using Neural Network
7.
• Clustering
• Assignment 2 discussion 8. CRISP-DM
9.
• Time Series Mining • Mining Data Streams 10.
• Multi-Relational Data Mining • Data Mining for Fraud Detection
11.
• Introduction to Recommender System
• Collaborative filtering
12.
• Data Mining Applications in real life
• Research problems