You get a bonus - 1 coin for daily activity. Now you have 1 coin

System modeling

All lectures: All lectures on the discipline: system modeling are collected here. These fascinating lectures provide us with the opportunity to explore the deep principles and phenomena underlying our knowledge and our desire to understand the world.


1. Simulation Planning. Gann Chart. network planning model. Project
2. Modeling. Introduction
3. Computer modelling
4. Mathematical model
5. Psychological modeling
6. Delay systems
7. construction of use case diagrams for the “online store” system UML
8. Use case diagram (use case diagram)
9. Introduction to UML
10. Class diagram
11. Statechart diagram UML
12. Activity diagram UML
13. Collaboration diagram UML
14. Sequence diagram UML
15. Component diagram UML
16. Deployment diagram UML
17. UML diagrams
18. UML diagrams of cooperation (collaboration) (collaboration diagram) (purpose, components, rules of construction).
19. Typical errors in Use Case diagrams Difference between INCLUDE and EXTEND
20. Methods for identifying use cases
21. Difference between INCLUDE and EXTEND on UML use case diagram (use case)
22. The concept of modeling. Ways to present models
23. Linear regression models
24. Nonlinear regression models
25. Dynamic systems
26. Dynamic regression models defined as a transfer function
27. Model in the form of a Callman filter
28. Model of a dynamic system in the form of a Fourier representation (signal model)
29. Model of a dynamic system in the form of a Fourier representation (object model)
30. Model quality assessment
31. Numerical methods for integrating differential equations. Euler method
32. Construction of a dynamic system model in the form of differential equations and its calculation by the Euler method
33. Higher order equations in the construction of a dynamic system model
34. Structurally tunable models
35. Refined Euler Method
36. Runge Kutta Method
37. Forecasting and correction methods (iterative methods) Euler method and Milne method
38. Modeling of systems with distributed parameters
39. Simulation of systems with distributed parameters when moving material masses
40. Partial differential equations
41. Technology using computer models
42. Statistical modeling
43. Random Number Generators
44. Simulation of a random event. Simulation of a full group of incompatible events. example of solving the problem
45. Simulation of a random variable with a given distribution law
46. Simulation of normally distributed random variables
47. Simulation of a random variable system
48. Poisson distribution
49. Random event stream
50. Flows with aftereffect (Erlang flows)
51. Simulation of queuing systems
52. Modeling of production processes and systems
53. General principles for constructing modeling algorithms
54. Simulation of Markov random processes
55. Fixation and processing of statistical results
56. Informal synthesis during modeling
57. Examination in modeling systems
58. Emergence or emergence, systemic effect
59. An example of imitation modeling in business
60. An example of the Monte Carlo method and simulation.
61. Simulation
62. Evolutionary modeling
63. The concept of cellular automata. Types and sequences of cellular automata
64. Introduction to cellular automata
65. Creators of the theory and practice of cellular automata
66. Approaches to the visualization and auditing of cellular automata
67. Cellular machines in the design and implementation of software and hardware systems
68. Quantum cellular automata
69. From game to models, from models to thinking. Split Cellular Automaton
70. The game "Life" on the example of cellular automata
71. Aqua-Tor game using cellular automata
72. Linear cellular automaton. Fractal Napkin Sierpinski
73. Dimensions used in cellular automata
74. Cellular automaton, simulating the movement of the crowd
75. Chaotic system. The problem of three bodies. Chua Chain
Complain