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• Information on Degree Programmes COURSE INFORMATON
Course Title Code Semester L+P Hour Credits ECTS
Simulation and Modelling * ISB   461 7 3 3 5

 Prerequisites and co-requisites Yok Recommended Optional Programme Components None

Language of Instruction Turkish Course Level First Cycle Programmes (Bachelor's Degree)
Course Type
Course Coordinator Assoc.Prof.Dr. Hüseyin GÜLER
Instructors
 Doç.Dr. HÜSEYİN GÜLER 1. Öğretim Grup:A Doç.Dr. HÜSEYİN GÜLER 2. Öğretim Grup:A

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
Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics
X
2
Emphasize the importance of Statistics in life
X
3
Define basic principles and concepts in the field of Law and Economics
4
Produce numeric and statistical solutions in order to overcome the problems
X
5
Use proper methods and techniques to gather and/or to arrange the data
X
6
Utilize computer systems and softwares
X
7
Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events
X
8
Apply the statistical analyze methods
X
9
Make statistical inference(estimation, hypothesis tests etc.)
X
10
Generate solutions for the problems in other disciplines by using statistical techniques
X
11
Discover the visual, database and web programming techniques and posses the ability of writing programme
12
Construct a model and analyze it by using statistical packages
X
13
Distinguish the difference between the statistical methods
X
14
Be aware of the interaction between the disciplines related to statistics
X
15
Make oral and visual presentation for the results of statistical methods
X
16
Have capability on effective and productive work in a group and individually
X
17
Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs
18
Develop scientific and ethical values in the fields of statistics-and scientific data collection
X

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 Simulating from some distributions Lecture notes: Chapter 3.4, Reference book: Chapter 3.4
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  