GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA MINING/2790045
Course Title: DATA MINING
Credits 3 ECTS 7.5
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Ass.Prof. Yeliz Yalçın
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/yyeliz
 -- EMAIL(S) OF LECTURER(S)
  yyeliz@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Evaluate survey data and test some statistical hypothesis with using Spss
Make and esitamte a model with using E-views
Investgate the time series data and do some forecast
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  Econometrics, statistics and time series analysis
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Econometrics, statistics and time series analysis
 --COURSE CONTENT
1. Week  Basic definations
2. Week  data and types of data in econometrics
3. Week  Introduction to data analysis
4. Week  Descriptive statistics
5. Week  Parametric and non-parametrics tests K-Means Clustering Methods
6. Week  Hierarchyic Clustering Methods Principle Component Method
7. Week  Midterm
8. Week  Forecasting methods
9. Week  Regression
10. Week  Time series analysis
11. Week  Lojistic regression
12. Week  Decision trees
13. Week  genetic algorithm
14. Week  nurel network
15. Week  Bayesian Classification
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Tan Pang-Ning, Michael Steinbach, Vipin Kumar, Introduction to Data Mining: Addison Wesley, 2005. http://www-users.cs.umn.edu/~kumar/dmbook/index.ph
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
50
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
13
2
26
 Reading
13
2
26
 Searching in Internet and Library
13
2
26
 Designing and Applying Materials
13
2
26
 Preparing Reports
0
 Preparing Presentation
13
1
13
 Presentation
13
1
13
 Mid-Term and Studying for Mid-Term
2
4
8
 Final and Studying for Final
2
4
8
 Other
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspect of operational research.
2Having skills for comprehension, application and evaluation about terms and basic theory of operational research.
3Having appropriate behavior of operational researchin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.
4Having qualities for professional competence in order to work in career fields such as planning assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations
5Having knowledge about other disciplines such as managements, finance, industrial engineering, mathematics and economics related to econometrics.
6Having skills about selecting, using and evaluating appropriate mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.
9Having qualities foranalytical thinking, prospecting and bringing scientific solutions to problems as a researcher.X
10Using some of the basic operational researchsoftware programs and having skills about information system related to the fields in working life.