GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY AND STATISTICS I/SGR-203
Course Title: PROBABILITY AND STATISTICS I
Credits 3 ECTS 4
Semester 3 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Assoc. Prof. Hülya Olmuş
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~hulya
 -- EMAIL(S) OF LECTURER(S)
  hulya@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Student learns probability concept and probability computation.
Student learns probability distrubitions and examples of these distributions in daily life.
Student learns how to plan and conduct a scientific research.
Student learns what statistical methods are and how to use these methods.
Student learns collecting, displaying and interpreting of data
 -- 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  basic statistical concepts, scaling, obtaining frequency distributions and interpretation
2. Week  Graphs, Measures of central tendency, mean, mod, median
3. Week  Measures of central tendency,harmonic and geometric mean, problem solving
4. Week  Measures of dispersion, range, quartiles, variance and standard deviation
5. Week  Measures of dispersion, coefficient of variation, skewnees and curtosis coefficients
6. Week  Merkezi dağılım ölçüleri, measures of associaiton, cramer V's, correlation and gamma coefficient, problem solving
7. Week  Midterm
8. Week  Probability, basics concepts of probability, theorems
9. Week  Conditional probability,statistical independents, Bates' theorem, solving problem
10. Week  Discrete random variables and probability distributions, bernoulli, binom distribution, poisson distribution
11. Week  Continuous random variables and probability distributions, normal distribution
12. Week  Expected values and variance for discrete random variables
13. Week  Expected values and variance for continuous random variables
14. Week  Discrete two variables probability distribution,joint probability distribution, conditional probability distribution
15. Week  Discrete two variables probability distribution,joint probability distribution, conditional probability distribution
16. Week  Final examination
 -- RECOMMENDED OR REQUIRED READING
  Prof. Dr. Semra Oral Erbaş, Olasılık ve İstatistik, Gazi Kitabevi
 -- 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
14
3
42
 Practising Hours of Course Per Week
0
 Reading
0
 Searching in Internet and Library
5
5
25
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
1
10
10
 Final and Studying for Final
1
20
20
 Other
0
 TOTAL WORKLOAD: 
97
 TOTAL WORKLOAD / 25: 
3.88
 ECTS: 
4
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Use mathematical and graphical tools in the field of insuranceX
2Understand the basic concepts and assumptions related to the science of insuranceX
3Use methods, techniques and tools necessary for the analysis and modelling of economic data to ensure and evaluate the obtained resultsX
4Describe the structure and properties of the markets in economyX
5Make predictions about the relationships between economic and financial variablesX
6Analyze and comment on current economic eventsX
7Comment on Insurance SectorX
8Analyze the insurance companies and the insurance sector within the framework of economic, financial and accounting dataX
9Have the ability to develop solutions for social problemsX
10Have the ability to do inter-disciplinary research and studyX