Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Possibility MAE206 Turkish Compulsory 4. Semester 2 + 0 2.0 2.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ
Instructor(s) Doç. Dr. EMİNE NUR ÜNVEREN BİLGİÇ (Bahar)
Goals To inform the student about probability theory and apply this information to some events or some (random) variables that we may encounter in daily life or scientific research, to calculate related, to teach the expected value (average) of a variable or a data group
Course Content The basic principle of counting; concept of permutation and applications; combination concept and applications; binomial theorem, concept of probability, basic concepts about probability and probability axioms; conditional probability and Bayes theorem; geometric probability problems; random variable concept; probability function, probability density function; expected value and variance of random variables; moment generating functions and moments; some discrete distributions, Bernoulli, binomial, geometric, hypergeometric, Poisson distributions; some continuous distributions, uniform distribution, exponential distribution, normal distribution and their properties.
Learning Outcomes
# Öğrenme Kazanımı
1 Explain and apply the concept of probability and probability axioms.
2 Solves problems related to permutations, combinations, sequential and unordered fragmentation, Binomial Theorem.
3 Solves problems related to conditional probability, independent events, Bayes Theorem.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week The basic principle of counting Interview
2. Week Concepts and applications of permutations, combinations, and binomials. Interview
3. Week Concepts and applications of permutations, combinations, and binomials. Interview
4. Week Concepts and applications of permutations, combinations, and binomials. Interview
5. Week Concept of probability, basic concepts related to probability and probability axioms Interview
6. Week Concept of probability, basic concepts related to probability and probability axioms Interview
7. Week Conditional probability and Bayes theorem Interview
8. Week Conditional probability and Bayes theorem Presentation (Preparation), Question and Answer
9. Week Conditional probability and Bayes theorem Interview
10. Week Random variables, Probability Distribution of Finite Random Variables Interview
11. Week Expected Value, Variance and Standard Deviation of a Finite Random Variable, Joint Distribution of Random Variables Interview
12. Week Independent Random Variables, Continuous Random Variables Interview
13. Week Binomial and Normal Distributions Interview
14. Week Markov Processes Interview
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Probability and Statistics, Fikri Akdeniz
  • Olasılık ve İstatistiğe Giriş, Hüseyin Demir
  • Seymour Lipschutz, Marc Lipson, Olasılık - Probability / Schaum Serisi
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 2 28
Sınavlar
Midterm 1 1 1
Classroom Activities 11 2 22
Total Workload 51
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 2.0