Undergraduate
Faculty of Economic and Administrative Sciences
International Trade
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Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
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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)
Corequisite(s)
Special Requisite(s)
Instructor(s)
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques
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-1OP-1. Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2OP-2. Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3OP-3. Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4OP-4. Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5OP-5. Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6OP-6. Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7OP-7. Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8OP-8. Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9OP-9. Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10OP-10. Possesses ethical principles and scientific values in collection, interpretation and release of data.
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
 
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7
LO 8
LO 9
LO 10
LO 11
LO 12
LO 13
LO 14
LO 15
LO 16
LO 17
LO 18
LO 19
LO 20
LO 21
LO 22
LO 23
LO 24
LO 25
LO 26
LO 27
LO 28
LO 29
LO 30
LO 31
LO 32
LO 33
LO 34
LO 35
LO 36
LO 37
LO 38
LO 39
LO 40
LO 41
LO 42
LO 43
LO 44
LO 45
LO 46
LO 47
LO 48
LO 49
LO 50