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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Industrial Engineering, M.Sc.
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01END5109
Multi Variate Data Analysis
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. Gültekin ÖZDEMİR
Course Instructors
3-Gültekin Özdemir
Course Assistants
 
Course Aims
Students in the business world will confront the production, marketing, finance, accounting, human resources, planning, inventory management, such as the different functions the problem of advanced mathematical and statistical techniques using the model is to solve, and solving by interpreting business decisions to help you be able to. For this purpose, from computers to take advantage and in particular spreadsheet program with the problem of modeling and solution finding essential will be.
Course Goals
System analysis
In order to examine the behavior of the model and interpret building and gain the ability to do experiments.
Learning Outcomes of The Course Unit
Faced with a complex business problem to model and solve the problem using the student determine which of these techniques,
Find solution
Used to decide which solution may be in adequacy.
Course Contents
Network modeling, goal programming, integer programming, dynamic programming, deterministic inventory models, probability, forecasting models, game theory, simulation and Markov Chains
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
50
Course Duration (Excluding Exam Week)
14
3
42
Quiz
0
0
Time Of Studying Out Of Class
14
4
56
Homework
0
0
Homeworks
6
3
18
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
50
Total Work Charge / Hour
166
The ratio of the term to success
50
Course's ECTS Credit
6
The ratio of final to success
50
 
TOTAL
100
 
Recommended or Required Reading
Textbook
Lecture Notes
Additional Resources
 
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
1
Ability to formulate and solve engineering problems by using mathematics, occupational knowledge and scientific methods.
5