GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY THEORY/1790043
Course Title: PROBABILITY THEORY
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof.Nezir KÖSE
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/nezir
 -- EMAIL(S) OF LECTURER(S)
  nezir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students have basic information for probability theorems.
Students can do econometric analysis by using probability models.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  Basic Statistics
 --COURSE CONTENT
1. Week  Basic Probability Concepts
2. Week  Conditional Probability
3. Week  Bayes' Theorem
4. Week  Counting Rules
5. Week  Some Important Discrete Probability Distribitions-I
6. Week  Some Important Discrete Probability Distribitions-II
7. Week  The Normal Distribition and Other Continuous Distribitions-I
8. Week  Midterm
9. Week  The Normal Distribition and Other Continuous Distribitions-II Covariance and Its Application in Finance
10. Week  The Linear Probability Models
11. Week  Probit Models
12. Week  Logit Models
13. Week  Hypothesis testing for probability models
14. Week  Goodness of fit for probability models
15. Week  Tobit Models The Poisson Regression Models
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  1. Akdi, Yılmaz, Matematiksel İstatistik, Bıçaklar Kitabevi, Ankara, 2005 2. Long, J. Scott, Regression Models for Categorical and Limited Dependent Variables, Sage Pub., 1997
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
50
 Assignment
0
0
 Exercises
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
50
 Contribution of Final Examination to Overall Grade  
50
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
12
2
24
 Designing and Applying Materials
14
1
14
 Preparing Reports
12
2
24
 Preparing Presentation
12
2
24
 Presentation
1
3
3
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
 TOTAL WORKLOAD: 
187
 TOTAL WORKLOAD / 25: 
7.48
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspect of operational research.
2Having skills for comprehension, application and evaluation about terms and basic theory of operational research.
3Having appropriate behavior of operational researchin the field of social, scientific, cultural and ethical values, applicability of gained knowledge and skills in accordance with the principle of responsibility to social and working life.
4Having qualities for professional competence in order to work in career fields such as planning assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizationsX
5Having knowledge about other disciplines such as managements, finance, industrial engineering, mathematics and economics related to econometrics.X
6Having skills about selecting, using and evaluating appropriate mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.X
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing in order to conduct independent research.X
9Having qualities foranalytical thinking, prospecting and bringing scientific solutions to problems as a researcher.X
10Using some of the basic operational researchsoftware programs and having skills about information system related to the fields in working life.