GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY AND STATISTICAL METHODS/5221306
Course Title: PROBABILITY AND STATISTICAL METHODS
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Nezir KÖSE
 -- WEB SITE(S) OF LECTURER(S)
  http://www.websitem.gazi.edu.tr/site/nezir
 -- EMAIL(S) OF LECTURER(S)
  nezir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Learn probability theorem
Learn marjinal and joint random variables.
Learn some important probability distributions fordiscrete and continuous random variables
Learn probability models as a theory
Apply the probability models
 -- MODE OF DELIVERY
  face to face
 -- PREREQUISITES AND CO-REQUISITES
  -
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Introduction to statistics
 --COURSE CONTENT
1. Week  Basic Probability Concepts
2. Week  Conditional Probability, Bayes's Theorem
3. Week  Discrete Random Variable
4. Week  Continuous Random Variable
5. Week  Two Random Variables
6. Week  Binomial and Geometric Distribution
7. Week  Hypergeometric and Poisson Distribution
8. Week  Midterm
9. Week  Normal Distribution
10. Week  Uniform and Exponential Distribution
11. Week  Simple Linear Regression
12. Week  Multiple Linear Regression
13. Week  Linear Probability Model
14. Week  Logit and Probit Models
15. Week  Ordered Logit Model
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  1.Levinei D. M., M. L. Berenson ve D. Stephan (1999), Statistics for Managers Using Microsoft Excel, Printice Hall International Lim., London. 2. Köse, Nezir (2014) İstatistik ve Olasılığa Giriş-I, Gazi Kitabevi, Ankara
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Application and research
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
40
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
10
3
30
 Practising Hours of Course Per Week
4
3
12
 Reading
5
3
15
 Searching in Internet and Library
3
3
9
 Designing and Applying Materials
5
3
15
 Preparing Reports
3
5
15
 Preparing Presentation
14
3
42
 Presentation
14
3
42
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
10
10
 Other
0
 TOTAL WORKLOAD: 
200
 TOTAL WORKLOAD / 25: 
8
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2
3X
4X
5X
6
7X
8X
9X
10X