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“Systems analysis and decision-making theory” - course 36,000 rubles. from MSU, training 4 weeks. (1 month), Date: November 30, 2023.
Miscellaneous / / December 04, 2023
The purpose of the study The discipline “System Analysis and Decision Making Theory” is to develop professional competencies in the field of innovation among students specializing in innovation. theoretical foundations and patterns of construction and operation of systems, their system analysis, as well as mastering approaches and methods of quantitatively based adoption decisions.
The course is conducted in two versions: basic and advanced. The volume of classes in hours is the same.
The basic program involves classes and studying materials together with master's students of the faculty. The extended program is a separate group within the framework of advanced training.
Duration of training – 72 hours (36 hours of classroom lessons with a teacher, 36 hours of independent study of materials).
Class format - full-time, if it is impossible to attend in person, you can connect to the lesson via video conference.
Cost of education - 36,000 rubles.
Start of classes - Fall 2023 academic year.
Training agreements are concluded with individuals and legal entities.
Registration for courses is carried out by email [email protected], through the registration form on the page.
You can contact the course administrator, Anton Martyanov, to register or with questions via WhatsApp or Telegram: +79264827721.
Doctor of Technical Sciences Position: Professor of the Higher School of Management and Innovation of M.V. Lomonosov Moscow State University
Topic 1. System Analysis Methodology
General plan for system analysis of situations. Classification of decision-making situations.
Topic 2. Making decisions under conditions of certainty
Single-criteria optimization models (static production planning problem, dynamic production planning problem, mixtures, optimal equipment replacement problem, mail problem, main network planning problem (network diagram 1), system selection problem flights).
Topic 3. Decision making under risk
Choosing a strategy in the presence of probabilistic information. Multi-step decision-making situations. Simulation modeling (assessment model for a project to develop a new car model, analysis of a construction project with uncertain durations of work (network diagram 3)).
Topic 4. Decision making under conditions of uncertainty
Methods for choosing the optimal strategy under conditions of uncertainty. Network diagram model with uncertain factors (network diagram 4).
Contents of the extended program
Topic 1. Multicriteria optimization models
Collapse of criteria. Pareto-optimal solutions (achievability curve, network diagram 2). Target programming (priority method) (weight and lexicographic), Data Envelopment Analysis (DEA) - efficiency analysis, Minimax criterion, Hierarchy Analysis Method (MAI). Optimization model for selecting consumer properties of a new product.
Topic 2. Making decisions in game situations with opposing interests
Basic concepts of game theory. Basic assumptions for two-person zero-sum games. Upper and lower value of the game, saddle point condition. Mixed strategies. Analytical solution of the 2 x 2 game. Diagonal games. Dominance of strategies. Graphic solution of games of the form (2 x n) and (m x 2). Solving games of the form (m x n) using linear programming. Definition of an infinite zero-sum game. Games with convex payoff functions.
Topic 3 Decision making in game situations with non-opposing interests
Criteria for choosing optimal strategies for games with non-opposing interests. Introduction to n-person game theory. The core of the game is n persons.
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07/12/2023