UAH

Modeling and Simulation Graduate Courses

 

The M&S degree program is interdisciplinary and includes courses from Industrial and Systems Engineering, Computer Science, Mathematics, and other disciplines. Only courses specific to the M&S program are listed here.

MOD 501 Survey of M&S
Broad-based introductory survey of M&S intended to provide an overview that exposes entering M&S students to the full range of the discipline. Surveyed items include identification, categorization, and comparison of modeling methods, applications, architectures, and environments. Appropriate applications for different simulation paradigms, and relative advantages and disadvantages of each. Model testing and validation approaches, distributed simulation, graphics and visualization, and other topics are introduced. Case studies of M&S applications. 
Offered: Fall semester, every year

MOD 591 M&S for Integrated Product Development
Introduction to the development of models and simulation in support of Integrated Product Team (IPT) projects. Topics address engineering lifecyle phases from model requirements through model verification. Students perform M&S activities within and in collaboration with interdisciplinary teams working on aerospace- and defense-related engineering projects. 
Offered: Fall semester, every year

MOD 640 Continuous System Simulation
Explores the modeling principles associated with simulating physical systems as they evolve in time. Develops models of mechanical, electrical, thermal, fluid, and hybrid systems and simulates the time-varying response of these systems. Various case studies employing these principles are presented and discussed. 
Offered: Spring semester, every year

MOD 620 M&S for Test and Evaluation
Use of modeling and simulation as a complement to physical testing during systems evaluation. Opportunities for simulation throughout the acquisition life-cycle, including test planning, test execution, and systems analysis, are described, characterized, and illustrated through case studies. Strategies to optimize the use of scarce resources in executing test and evaluation programs are explored. 
Offered: Spring semester, alternating years

MOD 630 Combat Modeling
Mathematical, probabilistic, and logical models of land, sea, air, and space combat. Applications and limits of combat models. Verification and validation techniques suitable to combat models. Implementation architectures for combat models. Case studies of modeling historical and non-historical combat scenarios.
Offered: Spring semester, alternating years

MOD 650 Computational Fluid Dynamics Modeling
The objective of the course is to provide an introduction to the use of commercial computational fluid dynamics (CFD) codes to enable interaction with developers and analysts while simulating flow and associated heat transfer in engineering systems. The course will include an introduction to the fundamental conservation equations which help us define fluid dynamics and heat transfer. The course will also include an overview of the mathematics involved in programming these fundamental equations within CFD codes as well as practical exercises using a commercial CFD code. 
Offered: Summer semester, alternating years

MOD 625 Project Management for M&S
Types of M&S projects: studies, software development, federation development, and events. Management concepts and methods applicable to each. Comparison of simulation life-cycle models. Management of large-scale software development projects when the software under development is a simulation model, including waterfall and spiral development approaches and software development estimation. Case studies of simulation software development projects. 
Offered: Summer semester, alternating years

MOD 520 Data Strategies
Categories of data sets required (such as service time distributions, terrain databases, or sensor performance parameters) for typical modeling and simulation (M&S) applications. Data requirements for M&S in terms of data sets, data volume, data availability, data accuracy, data classification, data storage media, and data archival. Existing M&S data resources available for reuse. Commonly used formats for documenting, structuring, and encoding M&S data. Concepts of data models and commonly used data models. Data set format conversion tools and procedures. Data acquisition and creation effort estimation. Data-focused case studies of M&S data applications. 
Offered: Planned for future

MOD 610 Verification, Validation, and Accreditation
Concepts, methods, and processes for verification, validation, and accreditation (VV&A) of simulation models. Key VV&A definitions and their implications. Details of specific verification and validation methods, including informal, static, dynamic, and formal methods, with an emphasis on quantitative comparisons. Guidelines for matching verification and validation methods to model and application types. Place and role of VV&A in simulation projects. 
Offered: Planned for future

MOD 796/CS 796 Collaborative Creation of Virtual Environments
A project oriented course that provides hands-on experience in the development of a distributed simulation system involving multiple interacting models and computational nodes. Students will work in teams to develop models and software for a distributed simulation of a lunar exploration scenario. They will gain experience with physical modeling, network interoperability protocols, and collaborative software development. A mid-term project demonstration will occur at the Simulation Interoperability Standards Organization (SISO) Spring workshop in Orlando FL in March, and a final project review will occur at the AlaSim International conference in Huntsville AL at the end of the course. Course topics range from a distributed simulation integration standard to driving models in a virtual environment with recorded simulation data. Students will gain experience in negotiating simulation interfaces with other universities, troubleshooting integrated simulations in a virtual private network, and presenting simulation results in a virtual environment. Guest lectures from NASA officials, software product vendor representatives, and other simulation experts will be included. 
Offered: Fall semester; every year (planned)