GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY I/İST1001
Course Title: PROBABILITY I
Credits 3 ECTS 8
Course Semester 1 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students will be able to match the concepts of random experiment, sample space, event space and sample point with real life problems.
Students will be able to asses that most of the real life events are stochastic character.
Students will demonstrate the assesment that all scientific fields must be implemented according to the rules of probability in their applications.
Students will be able to model the relations between the events and the sample space stochastically and establish the relations of probability and so
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Set theory
2. Week  Combinatorics
3. Week  Measurement theory, sample space, event, definitions of probability
4. Week  Measurement theory, sample space, event, definitions of probability
5. Week  Conditional probability, independence and Bayes Theorem
6. Week  Random variables, probability functions of discrete random variables
7. Week  Probability functions of discrete and continuous random variables
8. Week  Probability of continuous random variables, Midterm
9. Week  Probability functions of continuous random variables
10. Week  Probability functions of multidimensional random variables
11. Week  Probability functions of multidimensional random variables
12. Week  Probability functions of multidimensional continuous random variables
13. Week  Probability functions of multidimensional continuous random variables
14. Week  Distribution of functions of random variables
15. Week  Final exam
16. Week  ----------------------------------------------------------------
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
4
15
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
2
28
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
3
17
51
 Final Exam and Preperation for Final Exam
3
18
54
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
203
 TOTAL WORKLOAD / 25: 
8.12
 Course Credit (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
 -- NAME OF LECTURER(S)
   (Prof. M Akif BAKIR , Dr. Öğr. Üyesi Jale BALIBEYOĞLU)
 -- WEB SITE(S) OF LECTURER(S)
   (http://www.websitem.gazi.edu.tr/site/mabakir , http://www.websitem.gazi.edu.tr/site/balibey)
 -- EMAIL(S) OF LECTURER(S)
   (mabakir@gazi.edu.tr , balibey@gazi.edu.tr)