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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
STOCHASTIC MODELS END306 Fifth Term (Fall) 3 + 1 5

TYPE OF COURSE UNITCompulsory Course
LEVEL OF COURSE UNITBachelor's Degree
YEAR OF STUDY3
SEMESTERFifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED5
NAME OF LECTURER(S)Professor Kumru Didem Atalay
Assistant Professor Pelin Toktaş
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Have the knowledge about stochastic modelling and estimation techniques.
2) Have the ability to select the appropriate technique on the investigation and designation of waiting lines in production and service systems.
3) Have the ability to select the proper method to estimate parameters used in solving problems.
4) Have the ability to apply the appropriate technique in the planning and control of service systems.
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONConcept of stochastic process, queuing systems and waiting line models. Markov processes and Markov chains. Stochastic programming
COURSE CONTENTS
WEEKTOPICS
1st Week Review Probability, Poisson and Exponential Distribution, Random Processes and Classification
2nd Week Queuing Systems and Modeling Arrival and Service Processes
3rd Week Birth and Death Processes
4th Week M/M/l Queuing Model
5th Week M/M/s Queuing Models
6th Week Finite Source Models and Exponential Queues in Series and Open Queuing Networks
7th Week Priority Queuing Models
8th Week Midterm
9th Week Markov Chains and Classification of States in a Markov Chain
10th Week Steady State Probabilities, Mean First Passage Time
11th Week Absorbing Chains
12th Week Forecasting, Qualitative Fore Casting
13th Week Mathematical Models for Time Series analysis
14th Week Planning and Control in Service Systems
RECOMENDED OR REQUIRED READING1. Winston W. L. Operations Research, Applications, and Algorithms, 2004, Dixbury Press
2. Ross S. Introduction to poprobability models, 1993
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Practice,Questions/Answers,Problem Solving,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term135
Assignment210
Quiz415
Total(%)60
Contribution of In-term Studies to Overall Grade(%)60
Contribution of Final Examination to Overall Grade(%)40
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz428
Individual or group work14228
Preparation for Final exam11515
Course hours14456
Preparation for Midterm exam11515
Laboratory (including preparation)5210
Final exam122
Homework326
Total Workload142
Total Workload / 304,73
ECTS Credits of the Course5
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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