ECTS - Engineering Decision and Risk Analysis
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 | Area Elective | 3 | 0 | 0 | 3 | 5 |
Pre-requisite Course(s) |
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N/A |
Course Language | English |
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Course Type | Elective Courses |
Course Level | Natural & Applied Sciences Master's Degree |
Mode of Delivery | Face To Face |
Learning and Teaching Strategies | Lecture. |
Course Lecturer(s) |
|
Course Objectives | 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. |
Course Learning Outcomes |
The students who succeeded in this course;
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Course Content | 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 |
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Other Sources | 2. Ders Notları |
Evaluation System
Requirements | Number | Percentage of Grade |
---|---|---|
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 |
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Percentage of Final Work | 30 |
Total | 100 |
Course Category
Core Courses | X |
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Major Area Courses | |
Supportive Courses | |
Media and Managment Skills Courses | |
Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
# | Program Qualifications / Competencies | Level of Contribution | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | Ability to apply the acquired knowledge in mathematics, science and engineering | |||||
2 | Ability to identify, formulate and solve complex engineering problems | X | ||||
3 | Ability to accomplish the integration of systems | |||||
4 | Ability to design, develop, implement and improve complex systems, components, or processes | X | ||||
5 | Ability to select/develop and use suitable modern engineering techniques and tools | |||||
6 | Ability to design/conduct experiments and collect/analyze/interpret data | X | ||||
7 | Ability to function independently and in teams | X | ||||
8 | Ability to make use of oral and written communication skills effectively | |||||
9 | Ability to recognize the need for and engage in life-long learning | |||||
10 | Ability to understand and exercise professional and ethical responsibility | |||||
11 | Ability to understand the impact of engineering solutions | X | ||||
12 | Ability to have knowledge of contemporary issues | X |
ECTS/Workload Table
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 |
Total Workload | 135 |