Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Kanpur

Utility Theory, Concept of Non-satiation, Risk Characteristics, Expected Utility, Risk, Certainty Value, Different Types of Utility functions, Stochastic Dominance (First Order Stochastic Dominance (FOSD), Second Order Stochastic Dominance (SOSD), Third Order Stochastic Dominance (TOSD)), Loss Functions(Cont)

Utility Theory, Concept of Non-satiation, Risk Characteristics, Expected Utility, Risk, Certainty Value, Different Types of Utility functions, Stochastic Dominance (First Order Stochastic Dominance (FOSD), Second Order Stochastic Dominance (SOSD), Third Order Stochastic Dominance (TOSD)), Loss Functions

Preference Theory, Consumer choice behaviour, Convex and Concave preferences, Comparison of Utility Theory with Preference Theory, Scale of Measurement, Decision Theory, Normative, Prescriptive and Descriptive decisions, Choice under uncertainty, Complex Decisions, Heuristics, Ideas of Bayesian Analysis(Cont)

Preference Theory, Consumer choice behaviour, Convex and Concave preferences, Comparison of Utility Theory with Preference Theory, Scale of Measurement, Decision Theory, Normative, Prescriptive and Descriptive decisions, Choice under uncertainty, Complex Decisions, Heuristics, Ideas of Bayesian Analysis

Concepts of Multi-Objective Optimization Method (MOOM), Lagrange multiplier, Karush–Kuhn–Tucker (KKT) conditions, Concept of Dominated and Non-dominated Solutions, Ideas of Pareto Principle, Goal Programming, No-preference methods, Priori methods, Scalarizing, Posteriori methods, Concurrent computing, Vector Optimization(Cont)

Concepts of Multi-Objective Optimization Method (MOOM), Lagrange multiplier, Karush–Kuhn–Tucker (KKT) conditions, Concept of Dominated and Non-dominated Solutions, Ideas of Pareto Principle, Goal Programming, No-preference methods, Priori methods, Scalarizing, Posteriori methods, Concurrent computing, Vector Optimization(Cont)

Concepts of Multi-Objective Optimization Method (MOOM), Lagrange multiplier, Karush–Kuhn–Tucker (KKT) conditions, Concept of Dominated and Non-dominated Solutions, Ideas of Pareto Principle, Goal Programming, No-preference methods, Priori methods, Scalarizing, Posteriori methods, Concurrent computing, Vector Optimization

Basic ideas about Multi-Attribute Utility Theory (MAUT) and Multi-Attribute Value Theory (MAVT), Concept of Out ranking methods

Weight Sum Method (WSM), Weight Product Method (WPM), Analytical Network Process (ANP), Analytical Hierarchy Process (AHP), ÉLimination et Choix Traduisant la REalité (ELimination Et Choice Translating REality) (ELECTRE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Measuring Attractiveness by a Categorical Based Evaluation TecHnique (MACBETH), Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA), etc.(Cont)

Weight Sum Method (WSM), Weight Product Method (WPM), Analytical Network Process (ANP), Analytical Hierarchy Process (AHP), ÉLimination et Choix Traduisant la REalité (ELimination Et Choice Translating REality) (ELECTRE), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Preference Ranking Organization METHod for Enrichment of Evaluations (PROMETHEE), Measuring Attractiveness by a Categorical Based Evaluation TecHnique (MACBETH), Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA), etc.