ОП Информационные системы 6В06102 Module 22: Processes and Systems Simulation

Module 22: Processes and Systems Simulation

Code

M22IS(Ba)

Module Elements

Elective Subjects
Systems Analysis and Simulation / System analysis
Work Experience Internship 1

Semester Number:

4

Person responsible for the module

T.V. Pyatkova

Lecturer:

Systems Analysis and Simulation / System analysis – V.P. Kulikova
Work Experience Internship 1 - T.V. Pyatkova

Language:

Russian, Kazakh

Curriculum relation:

Information Systems (Ba)

Type of teaching / number of hours per week and per semester :

4 semester: hours per week – 10 (lectures -1; workshops -1; labs-2; independent work of students -6);
Work Experience Internship 1  - 60 hours
hours per semester  –210.

Workload:

Teaching Load: 60 hours
Extracurricular Classes: 90 hours
Work Experience Internship 1: 60 hours
Total: 210 hours

Credit Points:

7 ECTS

Conditions for Examinations:

For admission to the exam, the student must score at least 50 points out of 100 available for the subject

Recommended Conditions:

This module is based on the knowledge gained by students in the course of previous undergraduate subjects: Mathematics 3,  Reliability of Information Systems, Database Systems, Databases and Knowledge Bases, Programs and Means of Information Protection, Technologies of Technogenic Risk Management.

Expected Learning Outcomes:

Know: problem statement, modeling stages; construction of economic and mathematical models for decision-making problems in difficult situations or under uncertainty.

Be able to: independently investigate the problem of decision-making; possess the skills of choice and implementation of the algorithm solutions and research in various fields of human activity

Possess the skills: in the field of economic and mathematical models for decision-making problems.

Demonstrate the ability to: apply typical models in economic analysis and planning at different levels of the economy.

Intendend use/applicability

Modules: Automation and Designing, Artificial Intelligence Systems

Content:

Systems Analysis and Simulation / System analysis.

General and canonical statements of LPP (linear programming problems). Geometric method for solving LPP. An algebraic simplex method for solving LPP. The dual problem of LP. Dual simplex method. Regression model. Nonlinear model. Dynamic systems: examples of dynamic models. Dynamic systems: evaluation of the quality of dynamic models, modeling of dynamic objects. Statistical modeling. Monte Carlo method. RNG methods. Simulation of a queuing system. Planning and management problems. Game theory: strategies in the game. The loss function, the price of the game. S - game. Minimax theorem. Game theory: reduction to the problem of LP, statistical games. Game theory: non-coalition games, non-antagonistic games. Decision theory: problems, models. The decision theory: criteria for decision of Minimal risk, Savage, Bayes-Laplace, Hurwitz, etc. Queuing Theory and inventory management.

Work Experience Internship 1 

Optimal control. Methods and models of graph theory. The problem of constructing the shortest path and Dijkstra's method. Flows in networks and the principles of conservation. Network modeling problems.

Examination Form, module mark:

Comprehensive module examination including:
Systems Analysis and Simulation / System analysis. - course paper
Work Experience Internship 1 -  report defense
Module mark: the result of the exam Work Experience Internship 1

Technical/Multimedia Facilities:

Interactive whiteboard, multimedia system.

Study Materials:

1. V. K. Morozov, G. N Rogachev. Simulation of Information and Dynamic Systems; Akademiya - Moscow, 2011. - 384 p.
2. B. Y. Sovetov, S. A. Yakovlev. Simulation of Systems. Textbook for universities. – Moscow: Vysshaya Shkola, 2013.
3. N. G. Chikurov Simulation of Systems and Processes; RIOR, Infra-M - Moscow, 2013. - 400 p.
4. N. V. Golubeva. Mathematical Simulation of Systems and Processes; Lan - Moscow, 2013. - 192 p

Date of last amendment

20.01.2020