COURSE UNIT TITLE

: SIMULATION METHODS IN STATISTICS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3131 SIMULATION METHODS IN STATISTICS ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR SEDAT ÇAPAR

Offered to

Statistics
Statistics(Evening)

Course Objective

To make students to learn fundemantal elements of Statistics and probability, to describe data sets by graphical and numerical methods, to calculate probability, form probability distributions for both discrete and continuous random variables and to calculate mathematical expectation.

Learning Outcomes of the Course Unit

1   Learning definition of modelling and simulation
2   Learning how to generate random numbers
3   Learning random variable generation
4   Generating discrete random variables
5   Generating continuous random variables
6   Learning statistical validation techniques

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Definitions of Modeling and Simulation.
2 Process Flow in Simulation Study.
3 Some Discrete Random Variables.
4 Some Continuous Random Variables.
5 Random Numbers.
6 Pseudorandom Number Generation.
7 Random Variable Generation.
8 Midterm Exam.
9 Generating Discrete Random Variables.
10 Generating Poisson Random Variable and Binomial Random Variable.
11 Generating Continuous Random Variables.
12 The Inverse Transform Algorithm.
13 Statistical Validation Techniques.
14 Goodness of Fit Tests, The Chi-Square Goodness of Fit Test.

Recomended or Required Reading

Textbook(s):
Sheldon M. Ross, Simulation, 3rd Ed., Academic Press, 2002.
Supplementary Book(s):
Law A.M., Kelton W.D. Simulation, Modeling and Analysis, McGraw-Hill, 2000.

Planned Learning Activities and Teaching Methods

Lecture, homework assignments, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the undergraduate policy at http://web.deu.edu.tr/fen.

Contact Details for the Lecturer(s)

DEU Faculty of Scient Department of Statistics
e-mail: sedat.capar@deu.edu.tr
Tel: 0232 301 86 01

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 1 12
Preparation for midterm exam 1 26 26
Preparation for final exam 1 32 32
Preparing assignments 2 5 10
Final 1 2 2
Midterm 1 2 2
TOTAL WORKLOAD (hours) 123

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.155
LO.255
LO.355
LO.455
LO.555
LO.655

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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