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CSI 709/CSS 739 V&V of Models
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Why such a course
Who can join
Instructor
Learning Objectives
References
Invited Lecturers
Guidance for Assignments
Weekly Short Writing Assignments (SWAs) Guide
Paper Presentation Guide
Final Project Guide
Course Content
Wk 01. Course Overview
Wk 01. Models in Science
Wk 02. Verification and Validation Fundamentals
Wk 03. NO CLASS
Wk 04. Statistics and Visualization Techniques for Verification and Validation
Wk 05. Runtime Verification
Wk 06. Computational Techniques to Support Simulation Model Validation
Wk 07. Verification and Validation of Agent-Based Models
Wk 08. Verification and Validation within Cognitive Modeling of Individuals
Wk 09. Validation of Machine Learning Models (Basics)
Wk 10. Validation of Machine Learning Models (Bias, Fairness, and Assurance)
Wk 11. Safer Deep Reinforcement Learning
Wk 12. Validation of Statistical Models
Wk 13. Validation of Network Models
Wk 14. Ethics of Model Design and Use
Dr. Hamdi Kavak
Guidance for Assignments
Table of contents
Weekly Short Writing Assignments (SWAs) Guide
Paper Presentation Guide
Final Project Guide