In the increasingly competitive worldwide marketplace, successful completion of projects and programs requires development of software-intensive systems for aerospace, supply-chain networks, and intelligent systems using simulation-based methodologies. To help meet these demands, Arizona State University has introduced Master of Engineering in Modeling and Simulation [1], providing a mixture of foundational modeling and simulation courses enriched with advances in computer science and industrial and systems engineering. Students will be engaged in cutting edge research through the Arizona Center for Integrative Modeling and Simulation a leading center for advanced modeling and simulation research at Arizona’s top universities. In particular, ACIMS [2] which is among a handful of university centers in the United States and abroad offers state-of-the-art modeling and simulation research, education, and professionalism. The program has also been designed for delivery via the Internet, enabling busy professionals to enhance their skills without disrupting their careers.
Description
This program offers a unique blend of science and engineering across the variety of disciplines needed to create new solutions for large-scale, complex information systems, supply-chain networks, and systems of systems. The program focuses on the fundamentals of modeling and simulation methods and techniques thus enabling students to acquire a foundation applicable to a broad range of critical, classical and modern applications such as homeland security and sustainable development. The students will be able to extend and enhance their career prospects while contributing to the success of their employers. For example, students learn both traditional and recent approaches to concepts, methods, and theory of simulation science and related areas such as distributed computing, supply-chain networks, and software engineering. Through supervised projects they learn how to apply these approaches to obtain novel solutions to complex software-intensive system development. Graduate students gain in-depth technical knowledge through a mixture of (core and specialized) courses and research in modeling and simulation toward developing large, complex systems using integrative frameworks such as simulation-based acquisition.
Online Delivery
Governments and industry are increasingly in need of powerful analysis and decision-making techniques that modeling and simulation can provide. But often they cannot afford to disrupt the lives of their best engineers by relocating them and their families to a university campus for training. In response to this need, all courses are delivered on the Internet. Because all courses are offered over the Web, students can complete their coursework at any time of day, from any location in the world, remaining connected and productive in their current jobs. Furthermore, online delivery of courses enables professionals to prepare toward taking the M&S certification exam which is administered by the M&S Professional Certification Commission [4] and implemented by the National Training Systems Association.
Additional Information
Professionals and students interested in the Master of Engineering in Modeling and Simulation program can find more information regarding course offerings and program requirements from the Center for Professional Development at ASU [1] and a paper presented at SCSC `04 [3]. For example, students who hold a bachelor of science in engineering as well as those who have taken equivalent courses in computer science, computer engineering, and industrial engineering are expected to find this program key toward acquiring their technical knowledge and enriching their professional careers.
[1] Center for Professional Development, http://cpd.asu.edu.
[2] Arizona Center for Integrative Modeling & Simulation, www.acims.arizona.edu.
[3] M&S Professional Certification Commission, www.simprofessional.org.
[4] Sarjoughian, H.S., et al., 2004, “Graduate Education in Modeling & Simulation: Rationale and Organization of an Online Masters Program,” SCSC, p. 111-115, San Jose, CA, USA. A preprint is available at www.acims.arizona.edu/PUBLICATIONS/publications.shtml.