GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL ANALYSIS I/EKON201
Course Title: STATISTICAL ANALYSIS I
Credits 3 ECTS 10
Semester 3 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Serdar KILIÇKAPLAN, Asst. Prof.. Dr. Sezgin Aksoy
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/skilickaplan
 -- EMAIL(S) OF LECTURER(S)
  skilickaplan@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Students learn basic concepts and theories about one and two dimesional random varables.
Students learn concepts and features about expected value and variance for one and two dimensional random variable.
Students learn to solve problems about statistical distributions with methods of moments.






 -- 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  Probability functions and distribution functions for one-dimensional discrete and continuous random variables
2. Week  Expected Values and variances for one-dimensional discrete and continuous random variables
3. Week  Joint functions, marginal functions and conditional probability functions for two dimensional discrete random variables
4. Week  Joint functions, marginal functions and conditional probability functions for two dimensional continuous random variables
5. Week  Conditional expected values and conditional variances for two dimensional discrete and continuous random variables.
6. Week  Covariance and Coefficient of Correlation, statistical independence
7. Week  Practice
8. Week  MIDTERM EXAM
9. Week  Binom, Hypergeometric, Poisson distrubitions
10. Week  Normal Distributions
11. Week  Transformations of discrete and continuous random variables
12. Week  Moments, finding moments of a given probability distribution function, finding kurtosis and skewnes measures
13. Week  Moment generating functions
14. Week  Expected values of functions of random variables
15. Week  Practice
16. Week  FINAL EXAM
 -- RECOMMENDED OR REQUIRED READING
  Aytaç, M., Matematiksel İstatistik, 2. Baskı, Ezgi Kitabevi, Bursa, 1999. - Erbaş, Semra Oral., Olasılık ve İstatistik, 2. Baskı, Gazi Kitabevi, Ankara.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise, Homework
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
1
10
 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
14
2
28
 Practising Hours of Course Per Week
14
1
14
 Reading
14
2
28
 Searching in Internet and Library
14
1
14
 Designing and Applying Materials
14
3
42
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
7
6
42
 Final and Studying for Final
14
6
84
 Other
0
 TOTAL WORKLOAD: 
252
 TOTAL WORKLOAD / 25: 
10.08
 ECTS: 
10
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Having the professional expertise and skills on theoretical and practical aspects of econometrics, statistics and operational research.X
2Having qualities for professional competence in order to work in career fields such as inspector or assistant specialist or working department of research-development in public institutions and organizations, the private sector and civil society organizations.X
3Having knowledge about other disciplines such as economics, managements, public finance and law related to econometrics.
4Having appropriate behavior of econometrics in 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.
5Having skills about foreign language and information system related to the fields in academic and working life.
6Having skills about selecting, using and evaluating of appropriate statistical, econometric and mathematical programming methods, based on theoretical and practical knowledge acquired in the field related to the current problems faced by.X
7Having skills to work with the team for reach fruitful results in interdisciplinary and interdisciplinary studies.
8Having knowledge of research methods in the field of institutions and organizations planning projects, managing, and to conduct independent researches.X
9Having qualities for analytical thinking, prospecting and bring scientific solutions to problems as a researcher.X
10Having skills to comprehension, application and evaluation about terms and basic theory of econometrics.
11Having skills to comprehension, application and evaluation about terms and basic theory of statistics.X
12Having skills to comprehension, application and evaluation about terms and basic theory of statistics.
13Using some of the basic econometric and statistical software programs.