# Engineering Decision and Risk Analysis (MDES631) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Engineering Decision and Risk Analysis MDES631 3 0 0 3 5
Pre-requisite Course(s)
CE 205 Introduction to Probability and Statistics for Engineers
Course Language English N/A Ph.D. Face To Face Lecture. To provide the student with an understanding of the basic concepts of risk analysis and the relationship between probability theory and modeling, risk and decision analysis. The students who succeeded in this course; Students can apply probability theory to engineering problems. Students can apply risk analysis to engineering problems. Basic notions of probability, random variables, functions of random variables distributions, moments; first and second-order approximations; probability models for engineering analysis; Bernoulli sequence, binomial distribution, Poisson and related distributions, normal and related distributions, extreme-value distributions, other distributions us

### Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Probability and Statistics in Engineering 1-25
2 Fundamentals of Probability Models 27-39
3 Probability Models 96-131
4 Probability Models 132-150
5 Functions of Random Variables 151-190
6 Statistical Interference 245-259
7 Statistical Interference 262-269
8 Determination of Probability Distribution Models 278-288
9 Determination of Probability Distribution Models 289-301
10 Regression and Correlation 306-313
11 Regression and Correlation 318-339
12 Bayesian Analysis 346-357
13 Bayesian Analysis 360-368
14 Bayesian Analysis 372-381
15 Overall review -
16 Final exam -

### Sources

Course Book 1. Ang, A. H. S. and Tang, W. H., Probability Concepts in Engineering, Joh Wiley 2. Ders Notları

### Evaluation System

Attendance/Participation - -
Laboratory - -
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments 5 50
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 1 20
Final Exam/Final Jury 1 30
Toplam 7 100
 Percentage of Semester Work 70 30 100

### Course Category

Core Courses X

### The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Ability to carry out advanced research activities, both individual and as a member of a team X
2 Ability to evaluate research topics and comment with scientific reasoning X
3 Ability to initiate and create new methodologies, implement them on novel research areas and topics X
4 Ability to produce experimental and/or analytical data in systematic manner, discuss and evaluate data to lead scintific conclusions X
5 Ability to apply scientific philosophy on analysis, modelling and design of engineering systems X
6 Ability to synthesis available knowledge on his/her domain to initiate, to carry, complete and present novel research at international level X
7 Contribute scientific and technological advancements on engineering domain of his/her interest area X
8 Contribute industrial and scientific advancements to improve the society through research activities X

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory
Application
Special Course Internship
Field Work
Study Hours Out of Class 16 2 32
Presentation/Seminar Prepration
Project
Report
Homework Assignments 5 6 30
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 1 10 10
Prepration of Final Exams/Final Jury 1 15 15