PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
EKNM 110	PROBABILITY	3 + 0	2nd Semester	4,5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	Give the necessary information regarding the probabilitys.
Course Content	Sets, counting principles, probability concept, conditional probability, independence, Bayes' theorem, discrete and continuous random variables, probability distributions, expected value and variance, distribution functions, discrete special probability distributions, continuous special probability distributions, Standard Normal Distribution table and its applications, Central Limit Theorem, Convergence Between Distributions
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

6	Answers probability problems.
7	Knows Bayes' theorem.
8	Recognizes the probability distribution of discrete variables.
9	Recognizes the probability distribution of continues variables.
10	Knows the central limit theorem
11	Knows convergence between distributions

COURSE'S CONTRIBUTION TO PROGRAM

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	3	42
Mid-terms	1	13	13
Final examination	1	20	20
Total Work Load ECTS Credit of the Course			117 4,5

COURSE DETAILS

Select Year

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
EKNM 110	PROBABILITY	3 + 0	1	Turkish	2023-2024 Spring

Course Coordinator	E-Mail	Phone Number	Course Location	Attendance
Assoc. Prof. Dr. EDA YALÇIN KAYACAN	eyalcin@pau.edu.tr		İİBF C0205	%

Goals		Give the necessary information regarding the probabilitys.
Content		Sets, counting principles, probability concept, conditional probability, independence, Bayes' theorem, discrete and continuous random variables, probability distributions, expected value and variance, distribution functions, discrete special probability distributions, continuous special probability distributions, Standard Normal Distribution table and its applications, Central Limit Theorem, Convergence Between Distributions

Topics

Weeks	Topics
1	Set Theory
2	Set Theory, Counting Rules
3	Counting Rules
4	Probability, Probability Axioms,
5	Conditional Probability, Independence, Bayes Theorem
6	Discrete Random Variables and Probability Distributions
7	Discrete Random Variables and Probability Distributions(continue)
8	Uniform Distribution, Bernoulli Distribution, Binomial Distribution,
9	Hypergeometric Distribution, Poisson Distribution, Geometric Distribution, Negative Binomial Distribution, Multinomial Distribution.
10	Continuous Random Variables and Probability Distributions
11	Continuous Random Variables and Probability Distributions(continue)
12	Uniform Distribution, Exponential Distribution, Normal Distribution, Standard Normal Distribution, etc.
13	Standard Normal Distribution table and its applications
14	Central Limit Theorem, Convergence of Poisson and Binomial Distributions to the Normal

Materials

Materials are not specified.

Resources

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	60	Final Exam
Midterm Exam	40	Midterm Exam

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student