Industrial Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

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

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
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam,Project
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	H	Project
3)	An ability to communicate effectively with a range of audiences	N
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	N
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	N
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies	N

Prepared by and Date	ŞİRİN ÖZLEM , December 2023
Course Coordinator	ŞİRİN ÖZLEM
Semester	Spring
Name of Instructor	Asst. Prof. Dr. ŞİRİN ÖZLEM

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.

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	1.5	3	1.5	84
Project	1	20	9		29
Midterm(s)	1	15	2		17
Final Examination	1	10	2		12
Total Workload					142
Total Workload/25					5.7
ECTS					6