GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
PROBABILITY/IE207
Course Title: PROBABILITY
Credits 3 ECTS 5
Course Semester 3 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
   English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Ability to use of probability concepts in basic modeling and decision making
Ability to obtain solutions to probability problems
Ability to think analytically

 -- MODE OF DELIVERY
   The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Sample space, events, set theory, disjoint events, counting techniques, tree diagrams, combinations and permutations
2. Week   Definitions in Probability, Probability Concept, Probability Axioms
3. Week   Conditional Probability, Multiplication Rule, Independent Events.
4. Week  Total Probability Law, Bayes Theorem, System Reliability
5. Week  Definition of Random Variable, Discrete and Continuous Random Variables.
6. Week  Distribution Function and Cumulative Distribution Function
7. Week   The Expected Value and Variance of a Random Variable, Some useful Expectation and Variance Theorems.
8. Week  Some useful Discrete Distributions: Uniform, Bernoulli, Binomial, geometric and negative binomial.
9. Week  Some useful Discrete Distributions: Hypergeometric, Poisson distribution and their properties.
10. Week  Some Useful Continuous Distributions: Continuous Uniform, Normal Distribution
11. Week  Some Useful Continuous Distributions: Normal Distribution, Standard normal distribution and normal approximation to Binomial Distribution
12. Week  Some Useful Continuous Distributions: Exponential distribution, Memoryless property, Relationship between Poisson and Exponential distributions
13. Week   Joint probability distributions: joint distributed random variables, discrete and continuous cases for two random variables, marginal probability
14. Week  Joint probability distributions: Expected value and variances of random variables, conditional distributions, Independent random variables
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
36
 Assignment
5
12
 Application
0
0
 Projects
0
0
 Practice
3
12
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- 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
0
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
5
5
25
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
30
30
 Final Exam and Preperation for Final Exam
1
33
33
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
130
 TOTAL WORKLOAD / 25: 
5.2
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purposeX
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose...
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intradisciplinary and multi-disciplinary teams; ability to work individually
7Ability to communicate effectively in Turkish, both orally and in writing knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .
 -- NAME OF LECTURER(S)
   (Prof.Dr. Fulya Altıparmak , Prof.Dr. Ömer Faruk Baykoç , Dr. Ece Arzu Yıldız)
 -- WEB SITE(S) OF LECTURER(S)
   (websitem.gazi.edu.tr/site/fulyaal , websitem.gazi.edu.tr/site/baykoc , websitem.gazi.edu.tr/site/arzudemircan)
 -- EMAIL(S) OF LECTURER(S)
   (fulyaal@gazi.edu.tr , baykoc@gazi.edu.tr , arzudemircan@gazi.edu.tr)