GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
DATA MINING/BMT-332
Course Title: DATA MINING
Credits 4 ECTS 4
Course Semester 6 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To be able to define the basic concepts of data mining
be able to prepare data
Problem solving with data mining approaches (classification, clustering, analysis of association rules, etc.)
Problem solving with data mining approaches (classification, clustering, analysis of association rules, etc.)
Apply data mining techniques on data

 -- MODE OF DELIVERY
  Face to face, Application
 --WEEKLY SCHEDULE
1. Week  Introduction to data mining
2. Week  Types of Data, Quality of Data, Data Preprocessing: Data Sampling and Data Cleansing
3. Week  Data Preprocessing: Feature Selection and Size Reduction
4. Week  Classification with decision trees, ID3 algorithm
5. Week   Classification with Decision Trees, C4.5 algorithm
6. Week  Classification and regression trees
7. Week  Memory based classification, nearest k-neighbor algorithm
8. Week  Midterm, Association Rules
9. Week  Apriori algorithm
10. Week  Statistical classification models, Bayesian classifiers
11. Week  Optimization-based classification models
12. Week  Web and text mining
13. Week  Data mining applications
14. Week  Data mining applications
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
14
2
28
 Reading Tasks
0
 Searching in Internet and Library
5
1
5
 Material Design and Implementation
5
1
5
 Report Preparing
10
1
10
 Preparing a Presentation
5
1
5
 Presentation
5
1
5
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
106
 TOTAL WORKLOAD / 25: 
4.24
 Course Credit (ECTS): 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Gaining the necessary theoretical and applied knowledge on engineering, mathematics, and science, skills for determining, defining and formulating computer engineering problems.X
2Gaining the ability to choose and apply appropriate analysis, modeling and design methods in computer engineering problems.X
3Gaining the ability to design a system, process or product related to computer engineering for a specific given purpose, gaining the ability to apply modern design tools.X
4Gaining the ability to evaluate the issues of security, robustness, adaptability, economy, ecological problems and sustainability in engineering solutions under realistic constraints and conditions.X
5Gaining the ability of simulation, experimenting, design, interpreting results for analysis and solution of computer engineering problems. Gaining the ability of analyzing of data for real problems which are need of industry.X
6Gaining the ability to use contemporary techniques and tools, information technologies for engineering applications.X
7Gaining the ability to work efficiently as individual or in a group in computer engineering discipline or in interdisciplinary studies. Gaining the ability to act independently, to use initiative when needed, and to be creative.X
8Gaining the ability to communicate efficiently by expressing his/her opinions in Turkish verbally or in written form in a concise manner. Gaining ability to efficiently use at least a foreign language in his/her proficiency.X
9Gaining the ability to grasp the significance of the concepts in areas such as business entrepreneurship, innovation and gaining ability for planning and management of a project.X
10Gaining the ability of awareness about self-renewal concept by comprehending the necessity of lifelong learning.X
11Gaining the ability to have professional and ethical responsibility.X
12The development of personality such as self-confidence, undaunting in the face of difficulties, consistency and patience.X
13Awareness about problems concerning with social, economic, environmental, etc. in our age and realization of the engineering profession by keeping mind in the responsibility which is related the awareness.X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Nursal ARICI)
 -- WEB SITE(S) OF LECTURER(S)
   ()
 -- EMAIL(S) OF LECTURER(S)
   (tf@gazi.edu.tr)