Course ID:
Course Code & Number
MATH 503
Course Title
Uncertainty and Decision Making
Level
MS
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 7.5 ECTS Credits
Year of Study:
Master
Semester:
Fall
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: NONE
Co-requisites: NONE
Catalog Description
Fundamentals of decision theory: Decision trees, value of information, utility theory. Uncertainty modeling: linear models, extreme value models, first and second-order approximations, random fields and processes, Monte Carlo simulation. Data analysis: Bayesian decision framework, analytical methods, approximate methods. Practical risk evaluation, formulation of risk-based design criteria, risk benefit trade-offs and optimal decisions.
Course Objectives
The objective of this course is to equip students with tools to address uncertainty and support decision making towards civil engineering problems.
Software Usage
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
1. Apply uncertainty modeling to different types of engineering problems;
2. Analyze data using analytical and approximation methods;
3. Evaluate risk-based design criteria.
Learning Activities and Teaching Methods:
Discussion/Debate
Reading
Demonstrating
Problem Solving
Case Study/Scenarion Analysis
Oral Presentations/Reports
Hands-on Activities
Web Searching
Assessment Methods and Criteria:
Test / Exam
Quiz
Case Studies / Homework
Performance Project (Written, Oral)
Assessment Methods and Criteria Others:
Design Content
Recommended Reading
Required Reading
Grading
Learning Activities and Teaching Methods Others:
Course Coordinator:
Student Workload:
| Workload | Hrs |
|---|---|
| Course Readings | 40 |
| Exams/Quizzes | 38 |
| Resource Review | 20 |
| Case Study Analysis | 40 |
Course & Program Learning Outcome Matching: