COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Statistical Simulation * ECMS   405 7 3 3 5

Prerequisites and co-requisites
Recommended Optional Programme Components None

Language of Instruction English
Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Hüseyin GÜLER
Instructors
 
Assistants
Goals
In this course, modelling analytically difficult problems encountered in Statistics will be investigated. In addition to this, obtaining the empirical solution of the problem with a simulation by creating a virtual experiment will be emphasized.
Content
The definition and objective of simulation, techniques for simulation, mathematical modelling, programming in MATLAB, Monte Carlo estimation of a parameter of interest.

Learning Outcomes
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Course's Contribution To Program
NoProgram Learning OutcomesContribution
12345
1
Explains Econometric concepts
X
2
Acquires basic Mathematics, Statistics and Operation Research concepts
X
3
Equipped with the foundations of Economics, and develops Economic models
4
Describes the necessary concepts of Business
5
Models problems with Mathematics, Statistics, and Econometrics
X
6
Estimates the model consistently and analyzes & interprets its results
X
7
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems
X
8
Collects, edits, and analyzes data
X
9
Uses a package program of Econometrics, Statistics, and Operation Research
X
10
Effectively works, take responsibility, and the leadership individually or as a member of a team
X
11
Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study
12
Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied
X
13
Uses Turkish and at least one other foreign language, academically and in the business context
X
14
Good understanding, interpretation, efficient written and oral expression of the people involved
X
15
Improves his/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development
16
Questions traditional approaches and their implementation while developing alternative study programs when required
X
17
Recognizes and implements social, scientific, and professional ethic values
18
Follows actuality, and interprets the data about economic and social events

Course Content
WeekTopicsStudy Materials _ocw_rs_drs_yontem
1 Definitions and a review of probability and random variables Lecture notes: Chapter 1
2 Random number generators Lecture notes: Chapter 2, Reference book: p.123-140 and p.147-157
3 Simulating from some distributions Lecture notes: Chapters 3.1 to 3.3, Reference book: Chapters 3.1, 3.5 and 3.6
4 Random number generators Lecture notes: Chapter 2, Reference book: p.123-140 and p.147-157
5 Algorithms and MATLAB Lecture notes: Chapter 4
6 Generating random numbers and simulating some distributions with MATLAB Lecture notes: Chapter 4
7 Generating random numbers and simulating some distributions with MATLAB Lecture notes: Chapters 5.1 to 5.3, Reference book: p.246-250
8 Midterm exam
9 Estimation of a parameter with simulation Lecture notes: Chapter 5
10 Estimation of a parameter with simulation Lecture notes: Chapter 5
11 Applications of simulation 1: Estimation of a parameter, estimation of a probability Reference book: p.250-261
12 Applications of simulation 2: Estimation of a probability, hypothesis testing Reference book: p.250-261
13 Applications of simulation 3: Hypothesis testing, simulating a regression equation Lecture notes: Chapter 5
14 Applications of simulation 4: Simulating a regression equation, Monte Carlo Integral Lecture notes: Chapter 5
15 Applications of simulation 5: Monte Carlo Integral Lecture notes: Chapter 5
16-17 Final exam

Recommended or Required Reading
Textbook
Additional Resources