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Job ID: 125372

Adjunct Faculty, Department of Electrical, Computer, Software, and Systems Engineering (Daytona Beach Campus)
Embry-Riddle Aeronautical University

  • Jul. 9, 2019



  • Adjunct Faculty, Department of Electrical, Computer, Software, and Systems Engineering (Daytona Beach Campus)
  • Embry-Riddle Aeronautical University
    Daytona Beach, FL
    United States


  • Open until filled
  • Available immediately
  •  








  • Adjunct/Clinical Professor
  • Engineering Physics
    Electrical and/or Electronics
    Computer Engineering
    Computer Science







 

Course description:

1-
SYS 301 Introduction to Systems Engineering 3 Credits (3,0)
Provides an overview of systems engineering in the development of large systems, including genesis and need, characteristics of systems and system engineers, the system life cycle (from birth to death), design for operational feasibility, project management, structure, and system control, statistical/probabilistic models in dealing with risk inherent in large, complex systems. Emphasis on the importance of system requirements regarding total system performance, interfaces, cost, schedule, optimization, and trades.

Qualifications:
Minimum: Master in Systems engineering or related fields. Master degree and work experience in Systems engineering

2-
SYS 304 Trade Studies, Risk and Decision Analysis 3 Credits (3,0)
Methodologies for conducting comprehensive, traceable, and justifiable trades, as well as risk and decision-making analyses in Systems Engineering. Decision analysis methods for determining and selecting the appropriate alternative(s) based on various criteria are explored. Topics include Pugh matrices, Analytical Hierarchy Process (AHP), probabilistic decision making, and game theory. The student should develop a comprehensive understanding of trade studies and be able to apply risk and decision techniques in selecting appropriate choices.

Qualifications:
Minimum: Master in Systems engineering or related fields. Master degree and work experience in Systems engineering

3-
SYS 500 Fundamentals of Systems Engineering 3 Credits
This fast-paced course provides an overview of systems engineering in the development of multi-disciplined systems. Topics address definition of systems, roles, and qualities of system engineers, principles of systems thinking, and management of the total system life cycle (from birth to death). The basic framework spans user need and concept development, through development and deployment, and ultimately to phase-out and disposal. Emphasis is on the total system view including system requirements and their traceability, reliability, maintainability, system support, interfaces, cost, schedule, optimization, and trades as they affect total system performance, fulfillment of user needs, and impact the operational environment. The course also addresses ancillary concerns including characteristics of contract types, and legal and ethical considerations.

Qualifications:
Minimum: Ph.D. in Systems engineering or related fields. Master degree and extensive work experience in Systems engineering

4-
CS 222 Introduction to Discrete Structures 3 Credits (3,0)
An introduction to the fundamental algebraic, logical, and combinatorial concepts of mathematics that provide a foundation for the study of computer science. Pre-requisite: Experience in programming in a high-level language, pre-Calculus mathematics.

Qualifications:
Minimum: Master in Computer Science, Mathematics or related fields.

5-
EE 327 Electrical Engineering Fundamentals 3 Credits (3,0)
Circuit theory and variables. Analysis of electrical circuits using Ohm’s and Kirchloff’s laws. Nodal and mesh analysis. Principles of superposition and source transformation. Thevenin and Norton equivalent circuits. Wheatstone bridge. Voltage-current relationship for passive elements. First order transient analysis. Phasors and steady-state AC analysis. Filter concepts.

Qualifications:
Minimum: Master in Electrical Engineering, Computer Engineering or related fields.


 
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