GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY II/İST1002
Course Title: PROBABILITY II
Credits 3 ECTS 5
Course Semester 2 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 calculate the probability of multivariate events.
Students will be able to characterize the distribution of random variables through moments.
Students will be able to formulate probability functions related to situations frequently encountered in real events.
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face
 --WEEKLY SCHEDULE
1. Week  Expected value of random variables
2. Week  Other Moments of Random Variables (Variance, Covariance, Correlation, Kurtosis, Skewness)
3. Week  Moment generating and characteristic functions
4. Week  Some special discrete distributions: Bernoulli and Binomial
5. Week  Some special discrete distributions: Geometric and Hypergeometric
6. Week  Some special discrete distributions: Uniform, Negative Binomial and Multinomial
7. Week  Some special continuous distributions: Uniform
8. Week  Some special continuous distributions: Exponential family, Midterm
9. Week  Some special continuous distributions: Exponential family
10. Week  Some special continuous distributions: Normal
11. Week  Some special continuous distributions: Chi-Square
12. Week  Some special continuous distributions: t and F
13. Week  Some inequality theorems (Markov, Chebyshev, Jensen, Cauchy-Schwartz)
14. Week  Some inequality theorems (Markov, Chebyshev, Jensen, Cauchy-Schwartz)
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
4
2
8
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
13
26
 Final Exam and Preperation for Final Exam
2
15
30
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
134
 TOTAL WORKLOAD / 25: 
5.36
 Course Credit (ECTS): 
5
 -- 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)