Course ID:
Course Code & Number
MATE 208
Course Title
Probability
Level
BS
Credit Hours/ ECTS Credits
(2+0+0) 2 TEDU Credits, 3 ECTS Credits
Year of Study:
Sophomore
Semester:
Spring
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite:
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
The fundamental principle of counting; concept of permutation and its applications; concept of combination and its applications; binomial theorem, the concept of probability, fundamental concepts related to probability and axioms of probability; 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 properties.
Course Objectives
The aim of this course is to provide students deep understanding of several probability concepts. In addition to this, students will conduct several calculations for probability of different events.
Software Usage
If relevant to the course
Course Learning Outcomes
Upon successful completion of this course, the student should be able to:
- Comprehend the fundamental principle of counting.
- Exemplify the cases including concept of permutation and its applications.
- Exemplify the cases including concept of combination and its applications
- Explain fundamental concepts related to probability and axioms of probability.
- Apply conditional probability principles and Baye’s thoerem in appropriate problems.
- Explain random variable concept.
- Identify probability function, probability density function.
- Analyze different distributions including discrete distibutions, Bernoulli, binomial, geometric, hypergeometric, Poisson distributions
- Analyze different distributions including continuous distributions uniform distribution, exponential distribution, normal distributions.
Learning Activities and Teaching Methods:
Telling/Explaining
Questioning
Problem Solving
Collaborating
Hands-on Activities
Others
Assessment Methods and Criteria:
Test / Exam
Quiz
Lab Assignment
Others
Assessment Methods and Criteria Others:
Design Content
If relevant to the course
Recommended Reading
- Bertsekas, D. P. , Tsitsiklis, J. N., (2002). Introduction To Probability Hardcover (1. Edition).
- Rohatgi, K. V., (2015). Introduction to Probability and Statistics, (3. Edition). Wiley.
- Feller, W., (1968). An Introduction to Probability Theory and Its Applications, (Vol. 1), (3. Edition). Wiley.
Required Reading
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Lectures | 28 |
| Lab Applications | 14 |
| Hands-on Work | 20 |
| Exams/Quizzes | 20 |
Course & Program Learning Outcome Matching: