Undergraduate
Faculty of Economic and Administrative Sciences
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Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IIBF0042 - 2/0/0 DE 4
Course Goals One of the most important responsibilities of managers in businesses is to make decisions. Today's competitive conditions require that optimal decisions be supported by numerical methods. The aim of this course is to gain the knowledge and skills to formulate a problem encountered in decision making, to establish the mathematical model, to obtain the solution from the model, to check and evaluate the model and its solution, to apply the obtained solution.
Prerequisite(s) Course Code Course Name…
Corequisite(s) Course Code Course Name…
Special Requisite(s) The minimum qualifications that are expected from the students who want to attend the course.(Examples: Foreign language level, attendance, known theoretical pre-qualifications, etc.)
Instructor(s) Assist. Prof. Dr. Murat Taha Bilişik
Course Assistant(s)
Schedule This course was not opened in the 2022-2023 academic year...
Office Hour(s) Cats Chat Room
Teaching Methods and Techniques -Cats Distant Learning Classes -ppt slide shows
Principle Sources -
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Components of decision making, decision making without probabilities Distant Learning
2. Week Maximin,minimax, hurwicz criterion Distant Learning
3. Week Decision making with probabilities, expected value Distant Learning
4. Week Decision trees Distant Learning
5. Week Sequential decision tree analysis Distant Learning
6. Week Decision trees with posterior probabilities Distant Learning
7. Week Game theory Distant Learning
8. Week Mid Term
9. Week Mid Term
10. Week Markov analysis,states and state probabilities Distant Learning
11. Week Matrix of transition probabilities, predicting future market shares Distant Learning
12. Week Simulation, Monte Carlo process Distant Learning
13. Week Statistics analysis of simulation results Distant Learning
14. Week Simulation applications ( Finance , Marketing, production, inventory control) Distant Learning
15. Week Current business applications Distant Learning
16. Week Current business applications Distant Learning
17. Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 40
Final Exam 1 60


Program Outcomes
PO-1Define the concept and types of entrepreneurship in historical development within the framework of entrepreneurship theory.
PO-2Develop awareness about ways to improve personal and corporate innovation and creativity
PO-3Distinguish the different aspects of SME management and its problems from SME management and its problems
PO-4Design a business plan to start a new business
PO-5Assess the institutionalization process of newly established businesses
PO-6Employ the information and skill that is related to entrepreneurship in the career life and apply it to the workplace environment.
PO-7Explain new business in social environment with social capital and communication competence
PO-8Interpret knowledge of innovation and the importance of innovation that learned during education life with up-to-date information and adopt it to business life
PO-9Identify how to reach entrepreneurship supports thanks to the basic and up-to-date information gained on entrepreneurship and estimates about the change and paradigm shifts in the entrepreneurship ecosystem.
PO-10Compose the conceptual and cognitive knowledge with expert knowledge required by business life
Learning Outcomes
LO-1To produce solutions to business problems using decision making techniques
LO-2To gain economic data evaluation structure with analytical thinking structure
LO-3To learn modeling and estimation by analyzing relations in economic data.
LO-4To formulate a problem, to establish the mathematical model, to obtain the solution from the model, to check and evaluate the model and its solution, to gain the knowledge and ability to apply the obtained solution.
LO-5To understand today's competitive conditions require that optimal decisions be supported by numerical methods.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10
LO 1
LO 2
LO 3
LO 4
LO 5