laurakarimova / decision_modeling

This repository contains folders with laboratory work performed during the course at the University of Paris Saclay.

Decision modeling course

This repository contains folders with laboratory work performed during the course at the University of Paris Saclay.

Table of Contents

• General Info about course
• Technologies Used
• Contact

General Information

This course aims at presenting classical decision models with a special emphasis on decision making in uncertain situations, decision with multiple attribute, and decision with multiple stakeholders. During the course, various applications will be presented, emphasizing the practical interest and applicability of the models in real-world decision situations. Learning outcomes: Upon successful completion of this course, the student will acquire knowledge and skills about: decision models, validity of the decision models the three levels of decision analysis: representation of observed decision behavior (descriptive analysis), decision aiding and recommendation (prescriptive analysis), and the design of artificial decision agents (normative analysis).

Technologies Used

• Python - version 3.8
• Anaconda - version 2020.11

Contact

Created by @LauraKarimova - feel free to contact me!