GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL AND OPERATIONAL DECISION SUPPORT SYSTEMS/5261310
Course Title: STATISTICAL AND OPERATIONAL DECISION SUPPORT SYSTEMS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. İhsan ALP
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/ihsanalp
 -- EMAIL(S) OF LECTURER(S)
  ihsanalp@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Tabulating and summarizing of a large-scale data stack
Understanding and evaluating of structure of the data
Exploring the relationship between the variables and the model
Modeling of production planning problems
Evaluation of performance of decision making units
 -- MODE OF DELIVERY
  The mode of delivery of this course is internet connection
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  The basic elements of the Statistical Package program
2. Week  Measures of central tendency and dispersion
3. Week  Explore data structure
4. Week  Hypoetesis Testing
5. Week  Correlation Analysis
6. Week  Regression analysis and curve fitting
7. Week  Analysis of Variance
8. Week  Midterm
9. Week  Factor Analysis and Cluster Analysis
10. Week  Linear Programming and a decision support system
11. Week  Data envelopment analysis models I
12. Week  Data envelopment analysis models II
13. Week  Data envelopment analysis models III
14. Week  Window Analysis and a decision support system
15. Week  Malmquist index and dynamic performance evaluation and a decision support system
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
  Lecture Notes
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
35
 Assignment
4
20
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- 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
14
3
42
 Reading
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
6
6
 Final and Studying for Final
1
12
12
 Other
10
3
30
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves and deepens the field knowledge at an expert level based on undergraduate proficiency.X
2Comprehends the interactions between the computer science and other related disciplines.X
3Uses expert level theoretical and practical knowledge acquired in the computer science field.X
4Creates new knowledge by integrating the computer science knowledge and the knowledge from related disciplines.X
5Defines a problem in the computer science field.X
6Analyses the problems in the computer science field by using scientific research methods.X
7Proposes solutions to the problems in the computer science field.X
8Solves problems in the computer science field.X
9Evaluates the results within perspectives of quality processes.X
10Develops new approaches and methods by taking responsibility in complex situations in the application stages.X