# 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 Natural & Applied Sciences Master's Degree 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 expand and get in-depth information with scientific researches in the field of mechanical engineering, evaluate information, review and implement.
2 Have comprehensive knowledge about current techniques and methods and their limitations in Mechanical engineering.
3 To complete and apply knowledge by using scientific methods using uncertain, limited or incomplete data; use information from different disciplines.
4 Being aware of the new and developing practices of Mechanical Engineering and being able to examine and learn when needed.
5 Ability to define and formulate problems related to Mechanical Engineering and develop methods for solving and apply innovative methods in solutions.
6 Ability to develop new and/or original ideas and methods; design complex systems or processes and develop innovative/alternative solutions in the designs.
7 Ability to design and apply theoretical, experimental and modeling based researches; analyze and solve complex problems encountered in this process.
8 Work effectively in disciplinary and multi-disciplinary teams, lead leadership in such teams and develop solution approaches in complex situations; work independently and take responsibility.
9 To establish oral and written communication by using a foreign language at least at the level of European Language Portfolio B2 General Level.
10 Ability to convey the process and results of their studies systematically and clearly in written and oral form in national and international environments.
11 To know the social, environmental, health, security, law dimensions, project management and business life applications of engineering applications and to be aware of the constraints of their engineering applications.
12 Ability to observe social, scientific and ethical values in the stages of data collection, interpretation and announcement and in all professional activities.

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