Course Description
Introduction to the solution of engineering/scientific problems in biological and agricultural systems through computer simulation. Students will learn about concepts and methodologies related to the modeling/simulation of continuous- time and discrete-event systems.
Additional Requirements for Graduate Students:
Graduate students will be exposed to more in-depth system
modeling concepts and projects than undergraduate students.
Graduate students will be able to choose and apply appropriate
statistical analysis techniques for terminating and
non-terminating DE models. Graduate students will learn to use
the SIMAN language to build more detailed DE models to include
features such as entity batching and splitting, queue scanning
for particular entities with given characteristics for special
subsequent entity transfer and operations. Graduate students
will be able to identify and modify components of CS models that
can be simplified or eliminated while preserving the overall
system behavior.
Athena Title
Systems Modeling
Prerequisite
ENVE 3510 and AENG 2100
Semester Course Offered
Offered every year.
Grading System
A - F (Traditional)
Course Objectives
Students will be able to: - Demonstrate the use of concepts and methodologies related to the modeling and simulation of discrete-event systems through the use of modeling software packages. - Derive models from textual and pictorial descriptions of selected systems, conduct computer simulations, analyze model outputs, perform sensitivity analysis on system variables, determine qualitative system stability, and assess the accuracy of a model as compared to experimental data. - Derive models that incorporated both Discrete-Event and Continuous-Time features. - Participate in a group project modeling a selected operation found in nearby commercial or industrial outfits. Additionally, graduate students will: - Be able to choose and apply appropriate statistical analysis techniques for terminating and non-terminating DE models. - Learn to use the SIMAN language to build more detailed DE models to include features such as entity batching and splitting, queue scanning for particular entities with given characteristics for special subsequent entity transfer and operations.
Topical Outline
- Modeling Basic D. E. Operations & Inputs Entities and Resources Utilization - Intermediate D. E. Operations Decision points, Resources Scheduling, System Failures - D. E. Entity Transfer via Transporters - Loop & Stability Analysis of C. S. models - Simulating Material Flows with C. S. models - Oscillation C. S. Model - Combined D.E. and C.S. models Graduate Students - Additional Modeling capabilities using the SIMAN language - Statistical Analysis of Terminal and Steady-State systems - CS model component simplification and space-time models
Syllabus