Information Package
baskent.edu.tr

Master's of Information Technology and System Management without Thesis

BTS587

DATA MINING

Course Code
BTS587
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree Without Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s) -
Learning Outcomes

At the end of this course, the students;

  1. Will have learned CRISP_DM, which is a standard for applications of data mining, and also how to apply various phases and methods of data mining.
  2. Will learn how to use one of the software tools called WEKA.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsThere is no recommended optional programme component for this course.
Course DescriptionMeasurement and data, data analysis and uncertainty, models and patterns, searching and optimization, classification and regression, finding patterns and rules, applications and projects
Course Contents
WEEK TOPICS
1st Week Introduction: What is data minig?
2nd Week Some fundamental concepts
3rd Week Some simple examples
4th Week The CRISP_DM standard
5th Week Data preprocessing
6th Week Introduction to data analysis
7th Week WEKA software
8th Week MIDTERM
9th Week Decision rules and decision trees
10th Week Decision rules and decision trees
11th Week Linear regression models
12th Week Linear classification models
13th Week Clustering methods
14th Week Applications/Project presentations
Recommended or Required ReadingData Mining, I.H. Witten, E. Frank, Morgan Kaufmann, 2005.

Discovering Knowledge in Data: An Introduction to Data Mining, D.T. Larose, John Wİley & Sons, 2005.

Principles of Data Mining, D.J. Hand, H. Manila, P. Smith, MIT Press, 2001.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Other
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Assignment 5 10
Project 1 10
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
Language of InstructionTurkish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2
K1 X
K2
K3 X X
K4 X X
K5 X
K6 X
K7 X
K8 X X
K9 X X
K10 X
K11