GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA MINING/5141331
Course Title: DATA MINING
Credits 3 ECTS 8
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Suat ÖZDEMİR
 -- WEB SITE(S) OF LECTURER(S)
  http://ceng.gazi.edu.tr/~ozdemir
 -- EMAIL(S) OF LECTURER(S)
  suatozdemir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learning the fundamental concepts in data mining
Be able to perform classification task over a given data set
Be able to perform clustering task over a given data set






 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Database Systems
 --COURSE CONTENT
1. Week  Definition of data mining
2. Week  Overview of application areas and techniques
3. Week  Steps of data mining process: Problem definition
4. Week  Data selection
5. Week  Data pre-processing
6. Week  Data transformation and reduction
7. Week  Algorithm selection
8. Week  Model evaluation and presentation
9. Week  Decision trees
10. Week  Classification
11. Week  Curve fitting
12. Week  Association rules
13. Week  Memory based techniques
14. Week  k-nearest neighbor algorithm
15. Week  Clustering
16. Week  Artificial neural networks
 -- RECOMMENDED OR REQUIRED READING
  Data Mining, Concepts and Techniques 2nd Edition Jiawei Han and Micheline Kamber ISBN: 978-1-55860-901-3
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  None
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
5
10
 Exercises
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
3
45
 Practising Hours of Course Per Week
0
 Reading
10
4
40
 Searching in Internet and Library
10
4
40
 Designing and Applying Materials
0
 Preparing Reports
5
5
25
 Preparing Presentation
1
6
6
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
20
20
 Final and Studying for Final
1
20
20
 Other
0
 TOTAL WORKLOAD: 
196
 TOTAL WORKLOAD / 25: 
7.84
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1in-depth study of one context (or of a range of contexts) relevant to the field of Information Systems (IS) and understanding of the field of ISX
2through the project you will develop a critical awareness of current problems and/or new insights, much of which is at, or informed by, the forefront of practice in ISX
3analyse information systems in a variety of contexts (social, organisational) using a range of appropriate approaches and methodologiesX
4understand and integrate concepts from a range of academic disciplines contributing to IS (including, but not limited to, IS strategy, organisation behaviour and systems thinking) and context domainsX
5critically evaluate the strengths and weaknesses of Information Systems methodologies and to be able to predict aspects that are likely to lead to failureX
6formulate and test arguments, identify weaknesses and counter arguments. Critically evaluate and reflect upon own workX
7articulate and demonstrate use of methods and concepts in practiceX
8demonstrate the ability think and work originally, to be able to exercise own judgement about the value of informationX
9develop solutions to problems and compare optionsX
10work independently, reflecting on your own actions and thoughts, and making effective use of constructive feedback, plan and schedule workX
11develop solutions to problems and compare optionsX
12solve problems by identifying and analysing issues to determine the optimal practical solutions to improve IS performanceX
13communicate effectively using written and graphical presentations as appropriate, producing detailed critiques and coherent project reportsX
14seek relevant information from appropriate sourcesX
15work independently, reflecting on your own actions and thoughts, and making effective use of constructive feedback, plan and schedule workX
16reflect on your own practice and evaluate practice within the field of IS from a sociotechnical perspectiveX
17Apply professional values and ethics relative to information systemsX