GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL LEARNING FOR BIG DATA/BEBB5001
Course Title: STATISTICAL LEARNING FOR BIG DATA
Credits 3 ECTS 6
Course Semester 1 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To teach high dimensional data analysis, classification, cost functions, greedy search, logistic regression, regularization methods, clustering methods, dimension reduction.

 -- MODE OF DELIVERY
   The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Properties of high dimension data
2. Week  High dimension data analysis
3. Week  Classification algorithms
4. Week  Classification algorithms
5. Week  Evaluation of classification algorithms
6. Week  Cost functions
7. Week  Greedy search algorithms
8. Week  Greedy search algorithms
9. Week  Logistic regression
10. Week  Regularization methods
11. Week  Population methods
12. Week  Clustering algorithms
13. Week  Clustering algorithms
14. Week  Dimension reduction
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
35
 Assignment
4
25
 Application
0
0
 Projects
0
0
 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
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
14
1
14
 Material Design and Implementation
0
0
0
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
5
6
30
 Midterm Exam and Preperation for Midterm Exam
0
0
0
 Final Exam and Preperation for Final Exam
1
12
12
 Other (should be emphasized)
1
24
24
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
14X
15X
16X
17X
18X
 -- NAME OF LECTURER(S)
   (Prof. Dr. M. Ali Akcayol )
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/akcayol/contact)
 -- EMAIL(S) OF LECTURER(S)
   (akcayol@gazi.edu.tr )