GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BUSINESS INTELLIGENCE AND DATA ANALYSIS METHODS/5191333
Course Title: BUSINESS INTELLIGENCE AND DATA ANALYSIS METHODS
Credits 3 ECTS 7.5
Course Semester 1 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
The students succeeded in this course is to be able to;Define the terms related to business intelligence and information systems
Perceive the importance of the decision support to present-day organizations
Comprehend basic model and algorithms used in big data analysis
To set up suitable models by required decision support
Choice the algorithm suitable for the decision model
Apply the algorithms by way of actual software according to decision process.
Comment the results the applications in respect to decision process.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Business Intelligence and Decision Process
2. Week  Enterprise Information Systems and Features
3. Week  Database features and architects
4. Week  Data warehouse and Architects
5. Week  Data summarizing and reduction
6. Week  Data Warehouse and architectures
7. Week  Visualization and Reporting, OLAP
8. Week  Data Cube Computations
9. Week  Midterm exam, Data Preprocessing Methods(ETL process)
10. Week  Clustering Models and Algorithms
11. Week  Classification Models and Algorithms
12. Week  Association Rules and Algorithms
13. Week  Text Mining, Web Mining
14. Week  project presentations
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
10
 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
16
3
48
 Weekly Tutorial Hours
0
 Reading Tasks
13
4
52
 Searching in Internet and Library
16
4
64
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
14
1
14
 Midterm Exam and Preperation for Midterm Exam
1
5
5
 Final Exam and Preperation for Final Exam
1
5
5
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 Course Credit (ECTS): 
7.5
 -- 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
 -- NAME OF LECTURER(S)
   (Assoc.Prof.Dr.Nursal ARICI)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/nursal)
 -- EMAIL(S) OF LECTURER(S)
   (nursal@gazi.edu.tr)