GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INTRODUCTION TO STATISTICS AND PROBABILITY I/EKON101
Course Title: INTRODUCTION TO STATISTICS AND PROBABILITY I
Credits 3 ECTS 5
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Aydin UNSAL
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/aunsal
 -- EMAIL(S) OF LECTURER(S)
  aunsal@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
understands the basic statistical concepts
understands the basic probability concepts
knows The Basic Probability Distrubitions
uses descriptive statistical tools
learns using index numbers
 -- 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
  Mathematics
 --COURSE CONTENT
1. Week   Basic Concepts
2. Week   Data Collection and Presenting data
3. Week   Central Tendency Measures
4. Week   Central Dispersion Measures
5. Week   Index Numbers
6. Week   Probability Concepts
7. Week  Problem Hours
8. Week   Midterm
9. Week   Conditional Probability and Bayes Theorem
10. Week   Discrete Random Variable, linear transformation
11. Week   Continuous Random Variable
12. Week   Joint Distribution of Two Discrete Random Variables
13. Week   Binomial, Hypergeometric and Poisson Distributions
14. Week  Normal Distribution
15. Week  Problem Hours
16. Week  Final Exam
 -- RECOMMENDED OR REQUIRED READING
   • Olasılık ve İstatistik, Semra Oral Erbaş, Gazi Kitabevi, 2008. • Paul Newbold, İşletme ve İktisat İçin İstatistik, Literatür Yayıncılık, 2000. • İstatistiğe Giriş I, Serdar Kılıçkaplan, Alkım Yayınevi. • İstatistik: Temel Kavramlar, Verilerin kullanıma sunulması, Alptekin Esin, Müslim Ekni, Hamza Gamgam, Gazi Kitabevi, 2006. • Matematiksel İstatistik, Prof. Dr. Yılmaz Akdi, 2010
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill - Practise
 -- WORK PLACEMENT(S)
  no
 -- 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
12
3
36
 Practising Hours of Course Per Week
2
3
6
 Reading
14
2
28
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
0
0
 Preparing Reports
0
0
0
 Preparing Presentation
0
0
0
 Presentation
0
0
0
 Mid-Term and Studying for Mid-Term
7
2
14
 Final and Studying for Final
7
2
14
 Other
0
 TOTAL WORKLOAD: 
126
 TOTAL WORKLOAD / 25: 
5.04
 ECTS: 
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 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.X
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.
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, 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.X
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.X
13Using some of the basic econometric and statistical software programs.