cs211
COMMISSION ON HIGHER EDUCATION
SAMPLE SYLLABUS TEMPLATE
COURSE NUMBER: CS205
TITLE: Modelling and Simulation
Pre-requisite: CS103 and CS204
DEPARTMENT / PROGRAM: BSCS
SCHOOL:
SEMESTER AND SCHOOL YEAR:
INSTRUCTOR:
COURSE DESCRIPTION
This courses introduces the students to modelling and simulation concepts. Topics discussed in the course includes, system analysis and classification., abstract and simulation models, continuous, discrete, and combined models, heterogeneous models. It also covers pseudorandom number generation and testing, queuing systems, Monte Carlo method, and continuous simulation. Simulation experiment control.
COURSE OBJECTIVES (DESIRABLE OBJECTIVES)
At the end of this course, the student should be able to:
Attain generic learning outcomes and competences:
Understand the principles of simulation
Create simulation model of various types
Verify, and validate simulation models.
COURSE OUTLINE AND TIMEFRAME
TOPICS AND READINGS
DATE
1. Introduction to modeling and simulation.
2. System analysis, classification of systems. System theory basics, its relation to simulation.
3. Model classification: conceptual, abstract, and simulation models. Heterogeneous models. Methodology of model building.
4. Simulation systems and languages, means for model and experiment description. Principles of simulation system design.
5. Parallel process modeling. Using Petri nets and finite automata in simulation.
6. Models o queuing systems. Discrete simulation models. Model time, simulation experiment control.
7. Continuous systems modeling. Overview of numerical methods used for continuous simulation.
8. Combined simulation. The role of simulation in digital systems design.
9. Special model classes, models of heterogeneous systems.
10. Checking model validity, verification of models. Analysis of simulation results.
11. Simulation results visualization. Interactive simulation, virtual
SAMPLE SYLLABUS TEMPLATE
COURSE NUMBER: CS205
TITLE: Modelling and Simulation
Pre-requisite: CS103 and CS204
DEPARTMENT / PROGRAM: BSCS
SCHOOL:
SEMESTER AND SCHOOL YEAR:
INSTRUCTOR:
COURSE DESCRIPTION
This courses introduces the students to modelling and simulation concepts. Topics discussed in the course includes, system analysis and classification., abstract and simulation models, continuous, discrete, and combined models, heterogeneous models. It also covers pseudorandom number generation and testing, queuing systems, Monte Carlo method, and continuous simulation. Simulation experiment control.
COURSE OBJECTIVES (DESIRABLE OBJECTIVES)
At the end of this course, the student should be able to:
Attain generic learning outcomes and competences:
Understand the principles of simulation
Create simulation model of various types
Verify, and validate simulation models.
COURSE OUTLINE AND TIMEFRAME
TOPICS AND READINGS
DATE
1. Introduction to modeling and simulation.
2. System analysis, classification of systems. System theory basics, its relation to simulation.
3. Model classification: conceptual, abstract, and simulation models. Heterogeneous models. Methodology of model building.
4. Simulation systems and languages, means for model and experiment description. Principles of simulation system design.
5. Parallel process modeling. Using Petri nets and finite automata in simulation.
6. Models o queuing systems. Discrete simulation models. Model time, simulation experiment control.
7. Continuous systems modeling. Overview of numerical methods used for continuous simulation.
8. Combined simulation. The role of simulation in digital systems design.
9. Special model classes, models of heterogeneous systems.
10. Checking model validity, verification of models. Analysis of simulation results.
11. Simulation results visualization. Interactive simulation, virtual