Last update: 2004-07-16  -  by Tuncer Φren

 

University Level Simulation Courses in Ottawa, Ontario, Canada

Part 1 -  Modelling and Simulation Courses

 

Part 1.1 Courses at the University of Ottawa

(G – Graduate course, ug – undergraduate course)

 

 

Code – Title and Description

 

ug

ADM3305  Business Simulation

 

The tools and techniques used in Business Simulation for complex problem solving in risky and uncertain environments. Course participants will get hands-on experience with Business Simulation software and learn decision model formulation and results interpretation skills.

Prerequisite: ADM2302, ADM2304.

 

ug

CSI4124  Foundations of Modelling and Simulation

 

Fundamental aspects of system modelling and the simulation process. Elements of continuous system simulation. Issues relating to the numerical solution of ordinary differential equations. Elements of discrete event simulation. Generation of random numbers and variates. Simulation validation and quality assurance. Introduction to simulation languages.

Prerequisites: (CSI3150 or MAT2324 or MAT2331), MAT2375.

 

G

CSI 5125 (COMP 5107) SIMULATION


Topics in modelling and simulation within the context of both discrete and continuous systems. Estimation of model parameters. Experiment design and statistical analysis of simulation results. Distributed simulation. Stiffness and discontinuity handling in continuous system simulation. Artificial Intelligence in modelling and simulation. Validation and quality assurance of simulation models. Prerequisite: CSI 4124 or permission of the instructor.

 

G

CSI 5133 (COMP 5608) SIMULATION AND TESTING OF LOGIC CIRCUITS


Fault modelling in digital circuits. Logic simulation. Test generation. Parallel, deductive and concurrent fault simulation. Fault simulator accelerators. Testability measures. Current trends in testability.

 

G

CSI 5161 (COMP 5606) TOPICS IN SYSTEM SIMULATION AND OPTIMIZATION


Topics of current interest in system simulation and optimization.

 

G

SYSC 5001 (ELG 6101) SIMULATION AND MODELLING


Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modelling, simulation and problem solving using SIMSCRIPT, MODSIM and other languages.

 

 

 

 

Part 1 -  Modelling and Simulation Courses

 

Part 1.2 Courses at the Carleton University

 (G – Graduate course, ug – undergraduate course)

 

 

 

Code – Title and Description

 

ug

BUSI 3308  (formerly 42.338*) Simulation Methods in Business

 

Concepts of computer simulation through case studies, worked examples and hands-on project experience. Generation of random variables, input modeling, model design, analysis of output, and experimental design. Emphasizes static simulations with spreadsheets and discrete-event simulations with specialized software.

Prerequisite: BUSI 2300 and one of ECON 2202 or STAT 2607 (with a grade of C- or better in each).

 

G

ELEC 5506 (ELG6356) Simulation and Optimization of Electronic Circuits 

 

 http://www.gs.carleton.ca/profiles/show_schedule.php?cdi=ELEC+5506  

Introduction to computer simulation and optimization of electrical circuits. Time- and frequency-domain formulations for sensitivity analysis and  optimization. Optimization techniques for performance-, cost- and yield-driven design of electronic circuits. Optimization approaches to modeling and parameter extraction of active and passive elements.

 

G

ELEC5704 (ELG6374) Advanced Topics in CAD: Simulation of Optical Fibre

 

Recent advanced topics in Computer Aided Design (CAD). The subject material vary from year to year according to research interests in the departments. Students may be expected to contribute to lectures or seminars on selected topics
Prerequisites: Permission of the Department.

 

ug

NET 4001 Network Simulation

 

Simulation as a problem-solving tool; traffic generation; general discrete simulation procedures: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confi dence intervals. Simulation

exercises including traffic monitoring, congestion, load balancing, resource utilization, growth planning using OPNET simulation tool.

Prerequisite: BIT 2000.

 

ug

SYSC 3600  (formerly 94.360*) Systems and Simulation

 

Properties of linear systems. Linear dynamic models of engineering systems. Applications of the Laplace transform. Transfer functions. Block diagrams. Frequency and timeresponse. System simulation with digital computers.

 

ug

SYSC 4005 (formerly 94.405*) Discrete Simulation/Modeling

 

Simulation as a problem solving tool. Random variate generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confi dence intervals. Overview of modeling, simulation, and problem solving using SIMSCRIPT, MODSIM, and other languages.

Prerequisite: STAT 2605 or STAT 3502, and fourth-year status in Engineering, or third-year status in Software Engineering or permission of the Department.

 

G

SYSC 5001 Simulation and Modeling  

 

http://www.gs.carleton.ca/profiles/show_schedule.php?cdi=SYSC+5001

Simulation as a problem solving tool. Random variable generation, general discrete simulation procedure: event table and statistical gathering. Analyses of simulation data: point and interval estimation. Confidence intervals. Overview of modeling, simulation and problem solving using SIMSCRIPT, MODSIM and other languages.

 

G

SYSC5104 (ELG6114)  Methodologies for Discrete-Event Modelling and Simulation

 

Methodological aspects of simulation. Modelling discrete events systems. Modeling formalisms: FSA, FSM, Petri Nets, DEVS, others. Verification and Verification. Cellular models: Cellular Automata, Cell-DEVS. Continous and hybrid models. Parallel and Distributed simulation (PADS) techniques. PADS middleware: HLA, Parallel-DEVS, Time-Warp.