GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STOCHASTIC PROCESSES/5341307
Course Title: STOCHASTIC PROCESSES
Credits 3 ECTS 7.5
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Identifies the application areas of particular univariate and multivariate distributions
Performs conditional expected value and variance calculations
Applies discrete-time Markov chains in industrial engineering areas
Models and uses Poison processes in queuing and other application areas

 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  A general look at probability theory
2. Week  Discrete random variables
3. Week  Continuous random variables
4. Week  Multivariate distributions
5. Week  Conditional probability and expectation
6. Week  Conditional probability – real life examples
7. Week  Markov chains
8. Week  Markov chains – applications
9. Week  Exponential distribution
10. Week  Poisson processes
11. Week  Continuous-time Markov chains
12. Week  Birth and death processes
13. Week  Kolmogorov differential equations
14. Week  Queuing models – performance measures
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
35
 Assignment
4
15
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
50
 Percentage of Final Exam to Total Score  
50
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
2
20
40
 Material Design and Implementation
0
 Report Preparing
3
10
30
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
20
20
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
180
 TOTAL WORKLOAD / 25: 
7.2
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4
5X
6X
7
8
9
10
11
12
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Hakan ÇERÇİOĞLU and other relevant faculty members)
 -- WEB SITE(S) OF LECTURER(S)
   (www.gazi.edu.tr/~cercioglu;)
 -- EMAIL(S) OF LECTURER(S)
   (cercioglu@gazi.edu.tr;)