CSI 382 - Data Mining and Knowledge Discovery
Course Code: CSI 381
Trimester: Spring 2019
Course Title: Data Mining and Knowledge Discovery
Course Level: Level 4 Term 2
Credit Hours: 3.0 hours/week
Program: B.Sc. in CSE
Course Outcomes
After completing the course, students are expected to be able to:
Demonstrate advanced knowledge of data mining concepts and techniques. (Knowledge and Application)
Apply the techniques of clustering, classification, association finding, feature selection and visualization on real world data (Application, Research, Innovation)
Understand and apply a wide range of clustering, estimation, prediction, and classification algorithms, including k-means clustering, BIRCH clustering, Kohonen clustering, classification and regression trees, the C4.5 algorithm, logistic Regression, k-nearest neighbor, multiple regression, and neural networks.(Apply, Analyze and Design)
Determine whether a real world problem has a data mining solution and apply data mining software and toolkits to solve those problems. (Create and Evaluate)
Demonstrate knowledge of the ethical considerations involved in data mining. (Professionalism and Environmental Sustainability)
Course Outline
Lecture Slides
Lecture Slides 1 - Introduction to Data Mining - Lec - 1.pdf
Lecture Slides 2 - Data Preprocessing - Lec - 2.pdf
Lecture Slides 3 - Exploratory Data Analysis - Lec - 3.pdf
Lecture Slides 4 - Statistical Inference - Lec - 4.pdf
Lecture Slides 5 - K-Nearest Neighbor Algorithm - Lec - 5.pdf
Lecture Slides 6 - Decision Trees - Lec - 6.pdf
Lecture Slides 7 - Neural Networks - Lec - 7.pdf
Lecture Slides 8 - Clustering Analysis - Lec - 8.pdf
Lecture Slides 9 - Model Evaluation Techniques - Lec - 9.pdf
Lecture Slides 10 - Association Mining - Lec - 10.pdf
Important Deadlines for Spring 2022
Classes(5 weeks): 01 January – 6th February 2022
Term 1 Exam: 7th February – 16th February 2022
Classes(5 weeks): 17th February – 24th March 2022
Term 2 Exam: 25th March – 4th April 2022
Classes(3 weeks): 5th April – 27th April 2022
Classes(2 weeks): 9th May – 19th May 2022
Final Term Exam: 26th May – 9th June 2022