Information Package / Course Catalogue
Probability and Statistics For Computer Engineers
Course Code: CSE441
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

In this course, the students will be learning fundamental concepts of the probability and statistics so that they can solve practical problems of engineering which requires statistical techniques.

Course Content

Introduction to probability and statistics; random variables and probability distributions; expected value; sampling distributions; one and two sample estimation problems; test of hypotheses; simple linear regression.

Name of Lecturer(s)
Learning Outcomes
1.The students who succeeded in this course; will acquire and apply fundamental concepts of probability theory to engineering problems
2.will acquire and apply fundamental concepts of statistics to engineering problems
3.will develop an insight about the role of statistics for different engineering disciplines
4.will be able to evaluate and solve real life processes and problems using statistical applications
5.will be able to perform statistical analysis and interpret the results
Recommended or Required Reading
1.Montgomery, D.C., and Runger, G.C., Applied Statistics and Probability for Engineers, John Wiley and Sons, Inc., 4th Edition, June 2006.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to statistics
Week 2 - Theoretical
Descriptive statistics
Week 3 - Theoretical
Probability
Week 4 - Theoretical
Discrete Probability Distributions
Week 5 - Theoretical
Continuous Probability Distributions
Week 6 - Theoretical
Parameter estimation
Week 7 - Theoretical
Probability inference
Week 8 - Theoretical
Hypothesis Testing: One-Sample Inference
Week 9 - Theoretical
Hypothesis Testing: Two-Sample Inference
Week 10 - Theoretical
Nonparametric Methods
Week 11 - Theoretical
Hypothesis Testing: Categorical Data
Week 12 - Theoretical
Regression and Correlation Methods and ANOVA
Week 13 - Theoretical
Multiple Linear Regression
Week 14 - Theoretical
Statistics and machine learning
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures8%5
Assignment1%10
Midterm Examination1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140235
Lecture - Practice141242
Quiz42216
Midterm Examination110313
Final Examination115318
TOTAL WORKLOAD (hours)124
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
4
4
OÇ-2
5
3
4
5
OÇ-3
5
4
4
5
3
OÇ-4
5
4
5
4
4
3
OÇ-5
5
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026