GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
APPLIED STATISTICS/2790046
Course Title: APPLIED STATISTICS
Credits 3 ECTS 7.5
Semester 2 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
Giving theories for the statistical inference.
Giving theories for the hypothesis testing.
 -- 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
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Joint Distributions
2. Week  Multivariate Distributions
3. Week  Statistical Inference
4. Week  Sampling Distributions
5. Week  Random Sampling
6. Week  Point Estimation of Parameters
7. Week  Unbiasedness, Consistency Sufficiency, Efficiency
8. Week   Midterm
9. Week  Large-Sample Distribution Theory
10. Week  Efficient Estimation - Maximum Likelihood
11. Week  Consistent Estimation – The Method of Moments
12. Week  Interval Estimation
13. Week  Hypothesis Testing
14. Week  Likelihood Ratio, Wald and Lagrange Multiplier Tests.
15. Week  One-way variance of analysis
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  1. Akdi, Yılmaz, Matematiksel İstatistik, Bıçaklar Kitabevi, Ankara, 2005 2. Saraçoğlu, B. ve F. Çevik, Matematiksel İstatistik, Olasılık ve Önemli Dağılımlar, Teori Yayınları, 1989 3. Hogg, R. V. And A. T. Cragg, Introduction to Mathematical Statistics, Macmillan Pub. Comp., 1989
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture
 -- WORK PLACEMENT(S)
  No
 -- 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.