Engineering Distance Education
Systems Engineering Graduate Certificate Program
- Program Availability
- Program Objectives
- Admission to the NMSU Graduate School
- Academic Content
- Contact Information
This distance education program is available to working professionals who have undergraduate degrees in engineering, engineering technology, and related fields. It is also an option for persons with graduate degrees who seek career renewal. Systems engineering provides a unique opportunity for working professionals to integrate their work experience with advanced class work.
The objectives of this program are:
- To provide technical professionals an opportunity to advance their careers through advanced education in systems engineering.
- To develop and improve relationships with the College of Engineering 's constituencies by offering a program that addresses a known need for professional graduate-level development.
- To provide an opportunity for non-traditional students to consider advancing their education in areas that will foster their career development.
- To enable program students to become aware of current faculty research in systems engineering areas.
A 3.0 minimum cumulative GPA in four courses as described below will be required for award of the Systems Engineering Graduate Certificate Program.
Students must apply and be admitted to NMSU as a non-degree student to take classes. For more information, contact:
NMSU Graduate School
Box 30001, MSC 3G
Las Cruces, NM 88003
To complete the Certificate Program, students must be admitted to the Graduate School as certificate students. If you are considering pursuing a degree in electrical or industrial engineering, you should contact that department for admissions
requirements and advising.
Required: (6 credits)
- EE 461 Systems Engineering and Project Management
- IE 537 Large Scale Systems Engineering
Electives (6 hours out of one of the following three tracks)
Track 1 - Modeling, Simulation, & Decisions
- IE 490 Special Topics: Decision and Risk Analysis
- IE 531 Operations Research
- IE 545 Characterizing Time-Dependent Engineering Data
- IE 567 Design and Implementation of Discrete-Event Simulation
Track 2 - Applications
- EE 460 Space System Mission Design and Analysis
- IE 525 Systems Synthesis and Design
- IE 579 Integrated Manufacturing Systems
- EE 585 Telemetering Systems
- EE 590 - Systems Inegration and Test
Track 3 - Systems Analysis
- IE 466 Reliability
- IE 522 Queuing Systems
- IE 571 Advanced Quality Control
Other courses may be substituted by approval of your advisor and the program director.
E E 460 - Space System Mission Design and Analysis (3 credits)
Satellite system design, including development, fabrication, launch, and operations. A systems engineering approach to concepts, methodologies, models, and tools for space systems. Prerequisite: junior standing.
E E 461 - Systems Engineering and Program Management (3 credits)
Modern technical management of complex systems using satellites as models. Team projects demonstrate systems engineering disciplines required to configure satellite components. Prerequisite: junior standing.
EE 585 - Telemetering Systems (3 credits)
Integration of components into a command and telemetry system. Topics include analog and digital modulation formats, synchronization, link effects, and applicable standards.
EE 590 - Systems Inegration and Test
System Integration and Test examines issues related to integrating both hardware and software components to form a networking system, testing that the components as well as the whole system work as intended at each level, and assuring that the process is consistent with the system requirements and configuration management processes. The I&T issues will be related to formal systems engineering design reviews as well as the formal design process.
I E 466 - Reliability (3 credits)
Application of statistical theory to engineering reliability estimation, reliability improvement, and the analysis of reliability test data. prerequisite: I E 311 or equivalent.
IE 490 - Selected Topics 3cr.
I E 522 - Queuing Systems (3 credits)
Elements and classification of queuing systems, single server models, multi-server models, cost analysis and applications. Prerequisite: I E 311 or equivalent.
I E 531 - Survey of Operations Research Techniques (3 credits)
Operations research methodology. Introduction to linear programming, including assignment and transportation algorithms. Introduction to inventory control, queuing and dynamic programming. Prerequisite: I E 311 or equivalent.
IE 537 - Large Scale Systems Engineering (3 credits)
Systems engineering approaches to large-scale complex technological and societal problems. Concepts of interaction and structural graphs, matrices, delta, and Gantt charts. The hall matrix approach, structural concepts, reachability matrices, and cross impact-analysis, modeling and decision making.
I E 545 - Characterizing Time-Dependent Engineering Data (3 credits)
Theory and techniques employed in the characterization of stochastic processes commonly found in engineering applications. Distribution models include exponential, gamma, Weibull, and extreme value. Design and analysis of experiments involving complete and censored data and elevated stress. Analytical techniques include parametric, nonparametric, and graphical approaches with emphasis on modern computer tools. Exact and approximate maximum-likelihood techniques are stressed. Prerequisite: I E 311 or equivalent.
I E 567 - Design and Implementation of Discrete-Event Simulation (f) (3 credits)
Basic modeling concepts, organizations of simulations, input data analysis, random variate generation, simulation design and analysis, model validation, output analysis, and management of simulations. Same as I E 467 with differentiated assignments for graduate students.
I E 571 - Advanced Quality Control (3 credits)
Advanced topics in quality control and design of experiments for improvement of quality. Prerequisite: I E 311 or equivalent.
I E 579 - Integrated Manufacturing (3 credits)
Study of automated process planning as a link between CAD and CAM . Emphasis on information flows and modeling concepts, design data analysis, feature recognition and generative planning. Prerequisite: knowledge of a programming language or consent of instructor. Same as I E 479 with differentiated assignments for graduate students.
For more information, contact:
Dr. Edward Pines
New Mexico State University
Industrial Engineering Department
Las Cruces, New Mexico 88003