GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Probability and Statistics/EEE209
Course Title: Probability and Statistics
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
Defines random variables.
Defines the concept of probability density function and uses it in problem solving.
Calculates the expected value, variance and standard deviation.
Makes parameter estimation.
Makes the Hypothesis testing.
 -- MODE OF DELIVERY
  Face-to-face
 --WEEKLY SCHEDULE
1. Week  Definition of probability, sample space and event, geometric probability, basic axioms of probability, finite probability spaces.
2. Week  Conditional probability, axioms of conditional probability , multiplicative rule, some properties of conditional probability.
3. Week  Independent events, complete independence, total probability formula, tree diagrams, Bayes' Theorem.
4. Week  Definitions of continuous and discrete random variables, probability distribution and probability function of discrete random variables.
5. Week  Probability distribution and probability density function of continuous random variables.
6. Week  Distribution functions of discrete and continuous random variables, properties of distribution function.
7. Week  Expected value, variance and standard deviation concepts, properties of expected value and variance.
8. Week  Discrete probability distributions: Uniform, Bernoulli, Binom, Hypergeometric.
9. Week  Discrete probability distributions: geometric, Pascal (negative binomial distribution), Poisson.
10. Week  Continuous probability distributions: Uniform, Exponential, Normal (Gaussian).
11. Week  Definition of statistic, basic concepts: Stack, parameter, sample, sampling, exact count, sampling types.
12. Week  Sampling distribution, central limit theorem.
13. Week  Point estimation, interval estimation (confidence interval).
14. Week  Hypothesis testing, strength of the test, independence test, compatibility test.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
100
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 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
0
0
 Reading Tasks
12
4
48
 Searching in Internet and Library
3
4
12
 Material Design and Implementation
0
0
0
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
132
 TOTAL WORKLOAD / 25: 
5.28
 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 purpose.X
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.X
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.X
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 intra-disciplinary and multi-disciplinary teams; ability to work individuallyX
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 instructionsX
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.X
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 .X
 -- NAME OF LECTURER(S)
   (Res. Assist. Dr. Funda ERGÜN YARDIM)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/fundaergun)
 -- EMAIL(S) OF LECTURER(S)
   (fundaergun@gazi.edu.tr)