Give operative knowledge and methods to organize and manage the managerial activities in systematic mode in all phases that characterize the corporate decision-making. definition of the problem, its formalization. definition of constraints, objectives and alternative, development of algorithms and methods for solution, evaluation, implementation and how to certify solutions and procedures found.
teacher profile teaching materials
in relation to the context of decision making and problem solving. Application to processes and projects. In particular for processes: methods of representation and analysis, performance indicators, executive reporting, monitoring as a prerequisite for decision making. BPR (Business Process Reengineering). Particularly for projects : by using C / SCSC - EVM - EVMS for decision making. Risk Management. INDICATORS AND DASHBOARD: The statistical methods are presented to support the Decision Making for the detection and representation of data. MCDA METHODS: presentation of methods for multi-criteria decisions analysis (MCDA), including the AHP, Electre methods I, II, III, TOPSIS, PROMETHEE. STRATEGIC INTERACTION: Game theory.
Normal Form Games, Zero Sum Games, no-zero Sum Games, Solution Concepts: Dominated Strategies, Nash Equilibrium, Nash Equilibrium with Mixed Strategies, Correlated Equilibria, Extensive FormGames, Solution Concepts: Backwards Induction , Subgame Perfection. Bayesian Extensive Games, Extensive Form Games of Incomplete Information, Trembling Hand Perfection, Sequential Equilibrium. Signal Games. Coalitional Games TU game : Solution Concepts : The Core, The Shapley Value, banzhaf_index, The Cost Game (ECA CGA EGA).
Programme
The course covers topics related to the CONTEXT: management processes structuresin relation to the context of decision making and problem solving. Application to processes and projects. In particular for processes: methods of representation and analysis, performance indicators, executive reporting, monitoring as a prerequisite for decision making. BPR (Business Process Reengineering). Particularly for projects : by using C / SCSC - EVM - EVMS for decision making. Risk Management. INDICATORS AND DASHBOARD: The statistical methods are presented to support the Decision Making for the detection and representation of data. MCDA METHODS: presentation of methods for multi-criteria decisions analysis (MCDA), including the AHP, Electre methods I, II, III, TOPSIS, PROMETHEE. STRATEGIC INTERACTION: Game theory.
Normal Form Games, Zero Sum Games, no-zero Sum Games, Solution Concepts: Dominated Strategies, Nash Equilibrium, Nash Equilibrium with Mixed Strategies, Correlated Equilibria, Extensive FormGames, Solution Concepts: Backwards Induction , Subgame Perfection. Bayesian Extensive Games, Extensive Form Games of Incomplete Information, Trembling Hand Perfection, Sequential Equilibrium. Signal Games. Coalitional Games TU game : Solution Concepts : The Core, The Shapley Value, banzhaf_index, The Cost Game (ECA CGA EGA).
Prerequisiti
There are no formal mandatory prerequisites required to attend this course. However, to successfully tackle the study of managerial decision-making processes, quantitative modeling, statistical methods, and game theory, students are recommended to have a basic understanding of mathematics, statistics, and general principles of business administration and project management.Core Documentation
Texts and materials are provided by the teacher and are available from internet-web site.Attendance
Students are not required to attend classes in person.Type of evaluation
Written Exam (Preliminary), Duration 2 hours, specific exercises: Specifically aimed at verifying the student's elaborative knowledge and quantitative calculation capabilities through numerical problems and exercises on course topics (process analysis, performance indicators, MCDA, and game theory). Passing the written test requires achieving a minimum score threshold of 18/30, which serves as a mandatory prerequisite to access the oral exam. Oral Exam (Final): Covers syllabus topics that are complementary to the numerical exercises and incorporate their theoretical context. The primary objectives are to measure theoretical knowledge, assess whether the student has correctly understood and interpreted the core concepts, and evaluate how the student responds to applied managerial questions within the scope of the curriculum. Grading Criteria: The final grade (scored on a 30-point scale) is determined based on the following criteria: • Computational accuracy and elaborative correctness shown in solving the written exam exercises (achieving at least the 18/30 threshold); • Depth of conceptual understanding and correct interpretation of managerial models and theories demonstrated during the oral exam; • Ability to interact effectively and analyze applied management scenarios presented during the interview; Mastery of technical vocabulary and overall clarity in theoretical argumentation.