| School/Faculty/Institute |
Faculty of Engineering |
| Course Code |
IE 435 |
| Course Title in English |
Risk Analysis |
| Course Title in Turkish |
Risk Analizi |
| Language of Instruction |
EN |
| Type of Course |
Flipped Classroom,Lecture |
| Level of Course |
Advanced |
| Semester |
Spring |
| Contact Hours per Week |
| Lecture: 3 |
Recitation: 1 |
Lab: |
Other: |
|
| Estimated Student Workload |
135 hours per semester |
| Number of Credits |
6 ECTS |
| Grading Mode |
Standard Letter Grade
|
| Pre-requisites |
MATH 228 - Probability and Statistics for Engineering II
|
| Co-requisites |
None |
| Expected Prior Knowledge |
Prior knowledge of basic concepts of probability and statistics is expected |
| Registration Restrictions |
Only undergraduate students |
| Overall Educational Objective |
To acquire knowledge of quantitative analysis concepts with applications using modern tools |
| Course Description |
The aim of this course is to introduce important risk concepts and then to teach quantitative risk analysis and control techniques by engineering, economic, environmental and security aspects and to emphasize their role in decision support systems. |
Course Learning Outcomes and Competences
Upon successful completion of the course, the learner is expected to be able to:
1) Understand important risk concepts to make appropriate analysis;
2) Make risk analysis and optimization with appropriate numerical methods;
3) Use risk as a decision support tool with different dimensions (security, environment, finance, etc.).
|
| Program Learning Outcomes/Course Learning Outcomes |
1 |
2 |
3 |
Relation to Program Outcomes and Competences
| N None |
S Supportive |
H Highly Related |
| |
|
|
| |
Program Outcomes and Competences |
Level |
Assessed by |
| Prepared by and Date |
ŞİRİN ÖZLEM , December 2023 |
| Course Coordinator |
ŞİRİN ÖZLEM |
| Semester |
Spring |
| Name of Instructor |
|
Course Contents
| Week |
Subject |
| 1) |
Historical notes and basic concepts, Semi quantitative risk assessment models |
| 2) |
Review of probabilistic models |
| 3) |
Review of statistical models |
| 4) |
Weibull Analysis
|
| 5) |
Decision Making under Uncertainty |
| 6) |
Decision Making under Risk |
| 7) |
Uncertainty modeling and Risk Measurement (DT) |
| 8) |
Uncertainty modeling and Risk Measurement (BN) |
| 9) |
Midterm Exam |
| 10) |
Uncertainty modeling and Risk Measurement (FT) |
| 11) |
Monte Carlo Simulation |
| 12) |
Linear and Logistic Regression |
| 13) |
Project Presentations |
| 14) |
Project Presentations |
| Required/Recommended Readings | Required: Lecture Notes
Recommended: Probabilistic Risk Analysis-Foundations and Methods – Tim Bedford, Roger Cooke
|
| Teaching Methods | Flipped classroom/Exercise/Active learning |
| Homework and Projects | Term Project |
| Laboratory Work | |
| Computer Use | Students are expected to use computer programs for the course project. |
| Other Activities | |
| Assessment Methods |
| Assessment Tools |
Count |
Weight |
| Project |
1 |
% 20 |
| Midterm(s) |
2 |
% 80 |
| TOTAL |
% 100 |
|
| Course Administration |
sirin.ozlem@mef.edu.tr
Attendance/participation: According to YÖK regulations, students are required to attend at least 70% of the lectures. Students are expected to prepare for the lecture via pre-lecture videos and reading materials and attend the lectures.
Formal use of e-mails: The course instructor assumes that any information sent through email will be received in 24 hours, unless a system problem occurs.
Project: A term project will be assigned to be done in teams of four.
Missing the midterm exam: Students missing the midterm exam should get a valid official document to prove their excuse.
Missing a final: Faculty regulations.
Inappropriate conduct, academic dishonesty and plagiarism are subject to YÖK Disciplinary Regulation.
|
Information Package / Course Catalogue