GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY I/İST-101
Course Title: PROBABILITY I
Credits 3 ECTS 8
Semester 1 Compulsory/Elective Compulsory
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  English
 -- NAME OF LECTURER(S)
  Prof. Dr. M. Akif Bakır
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/mabakir
 -- EMAIL(S) OF LECTURER(S)
  mabakir@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Ability of defining the concepts random experiment, sample space, event space and sample point
Ability of calculating size of sample and event spaces
Knowing the concept of probability measure and its theorems
Ability of calculating probability of events
Ability of defining the structure of conditional probability and calculating its probability
Ability of making calculations about discrete and continuous probability
Ability of generating distribution functions
 -- MODE OF DELIVERY
  The mode of delivery is face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course
 --COURSE CONTENT
1. Week  Set theory
2. Week  Basics of probability
3. Week  Permutation, combination
4. Week  Probability measure and theorems
5. Week  Probability measure and theorems, geometric probability
6. Week  Conditional probability and independency of events
7. Week  Total probability and Bayes theorem
8. Week  Mid-term examination
9. Week  Random variables
10. Week  Probability functions of discrete random variables
11. Week  Probability functions of discrete random variables
12. Week  Probability functions of continuous random variables
13. Week  Probability functions of continuous random variables
14. Week  Distribution functions
15. Week  Expected Value and Variance
16. Week  Final examination
 -- RECOMMENDED OR REQUIRED READING
  1. Ross S. , 2010, First Course in Probability, 8th edition, Prentice Hall. 2. Akdeniz F. , 2007, Olasılık ve İstatistik, Nobel Kitabevi.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Drill-Practice
 -- WORK PLACEMENT(S)
  No
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
25
 Assignment
4
15
 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
14
1
14
 Reading
0
 Searching in Internet and Library
14
2
28
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
4
3
12
 Presentation
0
 Mid-Term and Studying for Mid-Term
3
17
51
 Final and Studying for Final
3
18
54
 Other
0
 TOTAL WORKLOAD: 
201
 TOTAL WORKLOAD / 25: 
8.04
 ECTS: 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
11. The statistical textbooks which include latest information about statistics, equipment and other resources supported by scientific approach on undergraduate level have theoretical and practical knowledge.X
22. Statisticians by using knowledge and skills acquired at bachelor degree level model, analyze, and interpret datasets.X
33. Statisticians identify and analyze the problems with current developments in statistic and also develop solutions based upon researches and proofs.X
44. Statisticians apply theoretical and practical knowledge acquired in Statistics at bachelor degree level to the current problems.X
55. Statisticians have the ability to use computer software and computing technology at the certain level required by statistics field.X
66. Statisticians take responsibility at disciplinary and interdisciplinary studies as an individual or a team member.X
77. Statisticians must have knowledge and ability to follow development in the field of Statistics, and must develop life long-learning attitudes.X
88. By using a foreign language, statistician can keep track of every statistical information, and communicate with colleagues.X
99. Applying the statistical knowledge in the professional sense, statistician has social, scientific, and ethical values.X
1010. A statistician must have the ability to social sensitivity and socialization.X
1111. During the process of inference, a statistician uses time efficiently with the analytical thinking ability.X