Description
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.
Prerequisites
- Prerequisite(s): ECOR 1031 and ( ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502 ), or permission of the Department.
Conditions and arrangements
- Prerequisite(s): ECOR 1031 and ( ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502 ), or permission of the Department.
- Also offered at the graduate level, with different requirements, as SYSC 5001 , for which additional credit is precluded.
- Lectures three hours a week, laboratory one hour a week.
Reference text in its original language
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.
- Prerequisite(s): ECOR 1031 and ( ECOR 2050 or SYSC 2510 or STAT 2605 or STAT 3502 ), or permission of the Department.
- Also offered at the graduate level, with different requirements, as SYSC 5001 , for which additional credit is precluded.
- Lectures three hours a week, laboratory one hour a week.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/SYSC/