EM5203 Statistical Data Analysis and Decision MakingBahçeşehir UniversityDegree Programs URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
EM5203 Statistical Data Analysis and Decision Making Spring 3 0 3 8
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Departmental Elective
Course Level:
Mode of Delivery:
Course Coordinator :
Course Objectives:

Learning Outcomes

The students who have succeeded in this course;

Course Content

Weekly Detailed Course Contents

Week Subject Related Preparation

Sources

Course Notes / Textbooks:
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Total %
PERCENTAGE OF SEMESTER WORK % 0
PERCENTAGE OF FINAL WORK %
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Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Improving and enhancing information in expertise level on the concept of transportation licence level abilities in terms of transportation department and related departments.
2) Having detailed information about current technics, methods and their constraints in transportation engineering.
3) Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions
4) Completing and implementing information with limited datas, integrating informations of different discipline datas
5) Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions
6) New/origin idea and method implementing, improving new solutions in system, part and process designs.
7) Understanding process and results of studies, presenting the datas oral and written in related department on national and international scales, understanding a foreign language, having speaking, writing and reading level at least Europan Language Portfolio B2.
8) Understanding social and environmental phases of technological implementations. Listing ability of current technics, methods, effects, constraints and results of technological implementations.
9) Considering social-scientific-ethic values in collecting-understanding-implementing-presenting phases and all activities.
10) Having information detailed and deeply by implemented researching in technology, evaluating and implementing of information
11) Developing method for defined technological problems and implementing innovative methods in solutions.
12) Modelling and implementing of experimental investigations, solving of complex cases in this process