Izlence

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

Academic Year

2021

Semester

Fall

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.

Pre-requisite / Co-requisite

Instructor:

Rıza Secer Orkun Keskin

Syllabus File:

math503_syllabus.pdf

Sap Event ID:

50165881

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:

Assessment Methods and Criteria:

Student Workload: