GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILTY/MAT421A
Course Title: PROBABILTY
Credits 3 ECTS 5
Semester 7 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Dr. Ziya Argün
 -- WEB SITE(S) OF LECTURER(S)
  www.gazi.edu.tr/~ziya,
 -- EMAIL(S) OF LECTURER(S)
  ziya@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
They should be able to have basic knowledge related with the concepts in probability and notice the relations between these concepts
They should be able to have basic knowledge related with the concepts Random variables and expected values and notice the relations between these conc
They should be able to have basic ideas related to some distrubution of the uniform dashed and have some experiment related with how they use
They should be able to have basic ideas related to some distrubution of the uniform continous and have some experiment related with how they use





 -- 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   The basic concepts in probability
2. Week  Applications
3. Week  The concepts of permutation and combination
4. Week  Applications
5. Week  Introduction to robability
6. Week  Applications
7. Week   Random variables and expected values
8. Week  Applications
9. Week   The distributions of Bernoulli, Binomial, Negative Binomial, Poisson, polynomial, geometric and uniform dashed
10. Week  Applications
11. Week  The distributions of normal and standart-normal, cuniform ontinuous
12. Week  Applications
13. Week  The distributions of exponential,gamma,beta and Cauchy and normal approximation of Binomial distributions
14. Week  Applications
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  Akdeniz, F., Probability and Statistics, Nobel Kitabevi, Adana, 2004 (Text book) Ersoy, N., Erbaş, SO, Introduction to Probability and Statistics, 2
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Exploration, Discussion, Brain storm, Demonstration,Concept map, inquiry, problem solving, discovery, diagnostic, computer and internet based, explor
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
30
 Assignment
2
20
 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
14
2
28
 Practising Hours of Course Per Week
14
2
28
 Reading
0
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
20
1
20
 Final and Studying for Final
20
1
20
 Other
0
 TOTAL WORKLOAD: 
124
 TOTAL WORKLOAD / 25: 
4.96
 ECTS: 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Acquisition of scientific thinking skillsX
2Making research and investigation independentlyX
3Acquisition of carefully observing and analytically thinking skillsX
4Acquisition of learning and teaching mathematics problemsX
5Comprehending, applying and explaining the importance of mathematical conceptsX
6Developing the thinking, producing, argumenting and probing abilitiesX
7Having the algorithm and sotftware writing abilities for solving computer supported problemsX
8Developing the ability of reaching information, evaluating and presenting informationX
9Improving yourself parallel to the developing technologyX
10Understands the disciplinary structure of mathematics, its historical development, related philosophical approaches and problems.X