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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
IUP 537QUANTITATIVE METHODS FOR BUSINESS3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Problem Solving and Decision Making. Introduction to Probability. Probability Distributions. Decision Analysis: structuring the decision problem, decision making with certainty, uncertainty and risk. Developing a Decision Strategy. Decision Making and Utility. Linear Programming. Transportation Models. Learning Curves. Waiting Line Models. Simulation and Computer Applications.
Course Content
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1-
1-
1-
1-
1-

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04
LO 001    
Sub Total    
Contribution0000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments24080
Mid-terms11313
Final examination11818
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2013-2014 Spring1MUSTAFA BAYHAN
Details 2013-2014 Fall1HALİL SAVAŞ
Details 2012-2013 Spring1HALİL SAVAŞ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
IUP 537 QUANTITATIVE METHODS FOR BUSINESS 3 + 0 1 Turkish 2013-2014 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. MUSTAFA BAYHAN mbayhan@pau.edu.tr İİBF B0105 %70
Goals Problem Solving and Decision Making. Introduction to Probability. Probability Distributions. Decision Analysis: structuring the decision problem, decision making with certainty, uncertainty and risk. Developing a Decision Strategy. Decision Making and Utility. Linear Programming. Transportation Models. Learning Curves. Waiting Line Models. Simulation and Computer Applications.
Content
Topics
WeeksTopics
1 Problem Solving and Decision Making. Introduction to Probability. Probability Distributions. Decision Analysis: structuring the decision problem, decision making with certainty, uncertainty and risk. Developing a Decision Strategy. Decision Making and Utility. Linear Programming. Transportation Models. Learning Curves. Waiting Line Models. Simulation and Computer Applications.
2
3
4
5
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10
11
12
13
14
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes