Ders Planı

CLASS 4

Lesson plan / DECISION THEORY AND RISK ANALYSIS

Lesson Information

Course Credit	3.0
Course ECTS Credit	3.0
Teaching Language of Instruction	Türkçe
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)
Course Assistant

Purpose and Content

The aim of the course	In addition to the risks in the international market to market risk, risks related to foreign currency exchange rates as a result of these investments are increasing and the global nature of the change. Measuring and estimating the risks are emerging as the most important issue. In essence, the risks of this course is a statistical problem. To the overall state of decision-making, the decision-maker is a choice from the available options, the process of solving a problem by making or classification. This course covers methods used basically how decisions are made and what is given. For decision-making, mathematical, statistical and psychological approaches to study and to teach.
Course Content	Risk statistics, investment decision theory, mathematical analysis of the benefits and risks of interest rates. Decision-making, rational, and bounded rationality, Yonne artistic and scientific decision-making, decision-making under uncertainty, decision making under risk, utility theory, game theory, social choice theory

The aim of the course

In addition to the risks in the international market to market risk, risks related to foreign currency exchange rates as a result of these investments are increasing and the global nature of the change. Measuring and estimating the risks are emerging as the most important issue. In essence, the risks of this course is a statistical problem. To the overall state of decision-making, the decision-maker is a choice from the available options, the process of solving a problem by making or classification. This course covers methods used basically how decisions are made and what is given. For decision-making, mathematical, statistical and psychological approaches to study and to teach.

Course Content

Risk statistics, investment decision theory, mathematical analysis of the benefits and risks of interest rates. Decision-making, rational, and bounded rationality, Yonne artistic and scientific decision-making, decision-making under uncertainty, decision making under risk, utility theory, game theory, social choice theory

Learning Outcomes

Has theoretical knowledge in the field of statistics.
Has the ability to use the theoretical resources required for statistics
Has the ability to use the theoretical resources required for statistics
To be able to use the necessary theoretical content resources for statistics
Defines the studies related to statistics independently and with the partners
Describe the current problems with statistical methods
Defines the ability of abstract and analytical thinking
Comprehend the knowledge of computer software and programming technique to be able to apply the science of statistics effectively.
Analyze the theoretical knowledge in probability and statistics
Evaluate different databases as required
Evaluates the outputs of applied questionnaires
Applies the concepts and thoughts in the field with scientific methods
Arrange the data related to the field
Solve the identified statistical problems
Prepares surveys
Develops solutions based on identified statistical problems, evidence and research
Contributes to the professional development of the employees under their management
Define new topics related to statistics
Give lectures and seminars about statistics and probability
Determines the needs for learning
Develops original attitudes towards lifelong learning by guiding learning processes related to learning
He/She organizes projects and activities for the social environment in which he/she lives with an awareness of social responsibility
Students will be able to communicate their solutions to problems related to statistics in written and oral forms
Supports suggestions for solutions and thoughts with quantative and quantative data
Follow developments in the field by using a foreign language
Uses computer software and information-communication-network technologies at the level required by the science of statistics
Students will have social, scientific and ethical values in the publication of the data related to the fields of science
Quality management and process, environmental protection, occupational health and safety issues has sufficient awareness
Gain social, scientific and ethical values in the stages of collecting, interpreting and announcing the data related to the fields of science
Has knowledge about the legal consequences of statistical applications

Weekly Course Subjects

1	Introduction and Decision Making Decision-making theories Developments
2	The psychological aspect of rational decision-making and decision-making
3	Configuration problems in the process of decision-making and decision-
4	Classification of decision problems, decision-making under certainty and under risk
5	Decision Trees and Bayesian approach
6	Decision making under uncertainty
7	Utility Theory
8	Midterm Exam
9	Introduction to methods of multi-criteria decision making
10	Multi-criteria decision-making: the Analytic Hierarchy Process, Analytic Network Process
11	Game theory
12	Game theory-Continued
13	Group Decision Making Under
14	Social choice theory

Resources

1- Vincke, Ph., 1992.Multi Criteria Decision Aid. John Wiley & Sons, Inc., WestSussex
2- Tevfik T., Arman, 1997, Risk Analizine Giriş, ALFA BASIM YAYIM İstanbul.
3- Evren, R., Ülengin, F., Yönetimde Çok Amaçlı Karar Verme, İ.T.Ü. Rektörlüğü, 1992.

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