PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
BUSI 323	DECISION ANALYSIS	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Elective
Course Objective	To develop an understanding of Advanced Decision Making Techniques to solve the decisionmaking problems that confronts and confounds managers in both the public and the private sector by developing mathematical models of those problems.
Course Content	Advanced Topics in linear programming, nonlinear programming, game theory, goal programming, deterministic dynamic programming, probabilistic dynamic programming, simulation.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	to analyze the complex administrative problems and apply the systems approach
2	To have a solid understanding of basic Management Science concepts
3	To develop mathematical models for a variety of management problems that they come across in public and private industry
4	To solve complex mathematical models by means of computer softwares
5	To interpret the solutions of the models for daily practical use of business managers

COURSE'S CONTRIBUTION TO PROGRAM

Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	13	3	39
Assignments	1	10	10
Mid-terms	1	13	13
Final examination	1	26	26
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student