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Graduate Certificates in Systems Science
Program Overview
The Systems Science program offers graduate certificates in two specialty areas: Computational Intelligence and Computer Modeling & Simulation. Students should apply to the Graduate Certificate Program before they finish all of the coursework for the graduate certificate, because they must be currently enrolled in order to validate their admission to the graduate certificate programs.
Certificate Requirements
In order to earn a graduate certificate, a student must:
Program Overview
The Systems Science program offers graduate certificates in two specialty areas: Computational Intelligence and Computer Modeling & Simulation. Students should apply to the Graduate Certificate Program before they finish all of the coursework for the graduate certificate, because they must be currently enrolled in order to validate their admission to the graduate certificate programs.
Certificate Requirements
In order to earn a graduate certificate, a student must:
- complete 16 credit hours of courses in the specialty area,
- earn a GPA of 3.25 for these courses, and
- complete the departmental Application for Certificate form
Graduate Certificate in Computational Intelligence
encompasses neural networks, evolutionary computing, fuzzy set theory, and artificial intelligence. Typical application areas include pattern recognition, control, signal processing, and non-linear optimization.
Graduate Certificate in Computer Modeling & Simulation
encompasses linear systems theory, discrete and continuous system simulation, and statistical modeling of structure. Typical application areas include process engineering, policy evaluation, data analysis & interpretation, and the study of feedback dynamics in complex systems.
The list of specific courses associated with these certificates is maintained by Systems Science Program and are listed below.
Computer Modeling & Simulation |
Computational Intelligence |
|---|---|
| SySc 514: System Dynamics, 4 cr. (REQUIRED)
Winter term |
SySc 575 AI: Neural Networks I, 4 cr. (REQUIRED)
Fall term |
| SySc 527: Discrete System Simulation, 4 cr. (REQUIRED)
Spring term |
SySc 576 AI: Neural Networks II, 4 cr.
Winter term |
| SySc 525: Agent-Based Simulation, 4 cr.
Fall term |
SySc 557: Artificial Life, 4 cr.
Spring term |
| SySc 529: Business Process Modeling & Simulation, 4 cr.
Spring term |
SySc 512: Quantitative Methods of Systems Science, 4 cr.
Winter term |
| SySc 553: Manufacturing Simulation, 4 cr.
Spring term |
SySc 551: Discrete Multivariate Modeling, 4 cr.
Winter term |
| SySc 512: Quantitative Methods of Systems Science, 4 cr.
Winter term |
CS 541 Artificial Intelligence, 3 cr.
Fall term |
| SySc 551: Discrete Multivariate Modeling, 4 cr.
Winter term |
ECE 557 Engineering Data Analysis and Modeling, 4 cr.
|
| Psych 523: Covariance Structure Modeling, 5 cr.
Spring term |
ECE 559 Genetic Algorithms, 4 cr.
|
Admissions
Students do NOT need to be admitted to a graduate degree program in order to earn a graduate certificate.
Download the application for the Graduate Certificate Program (PDF)
Read a testimonial about the Graduate Certificate in Computer Modeling and Simulation.
Students should notify the Systems Science office when they are finishing their last course for the Graduate Certificate, so that we can prepare the Program Completion Form.