Master of Engineering in Systems Engineering + Design

Master of Engineering in Systems Engineering + Design

Infrastructure Systems Specialization

Develops experts with a broad understanding of the complex consequences of changes in the infrastructure in areas such as nuclear, electrical, transportation, civil, and mechanical engineering.

 

SAMPLE PLAN OF STUDY

Course

Description

Credits

Fall

MFG 535 - Human Motor Behavior and Engineering Systems

This course is designed to provide a basic perspective of the major processes of human motor behavior. Emphasis will be placed on understanding motor control and man-(Machine)-environment interaction. Information processing will be presented and linked to motor behavior. Applications of theories to the design of workplace, controls and tools will be underlined and illustrated by substantial examples.

3

ISD 520 - Introduction to Systems Engineering

Introduction to the systems engineering process used to create multidisciplinary solutions to complex problems with multiple, often conflicting objectives; application to large developmental programs from such diverse areas as civil engineering and transportation, space and missiles, ships and land vehicle systems. Coursework includes homework assignments and projects.

3

EECS 557 - Communication Networks

System architectures. Data link control: error correction, protocol analysis, framing. Message delay: Markov processes, queuing, delays in statistical multiplexing, multiple users with reservations, limited service, priorities. Network delay: Kleinrock independence, reversibility, traffic flows, throughput analysis, Jackson networks. Multiple access networks: ALOHA and splitting protocols, carrier sensing, multi-access reservations.

3

IOE 511
(Math 562) - Continuous Optimization Methods

Survey of continuous optimization problems. Unconstrained optimization problems: unidirectional search techniques; gradient, conjugate direction, quasi-Newton methods. Introduction to constrained optimization using techniques of unconstrained optimization through penalty transformations, augmented Lagrangians, and others. Discussion of computer programs for various algorithms.

3

Winter

IOE 501

 

 

AEROSP 450 - Flight Software Systems

Theory and practice of embedded flight software systems. Computational theory topics include discrete mathematics, finite automata, computational complexity and model checking. Software development concepts include object oriented programming, networks, multi-threaded software, real-time scheduling and sensor/actuator interface protocols. Emphasis placed on C/C++ development in Linux with guidance, navigational control applications. Lectures and laboratory.

3

AEROSP 583 - Management of Space Systems Design

Meets with AEROSP 483 (Space System Design) or other senior design course when appropriate topic is chosen. Students in this course lead teams in high level project design of a space system. Modern methods of concurrent engineering manufacturing, marketing and finance, etc., are incorporated.

4

AEROSP 588 - Multidisciplinary Design Optimization

Introduction to numerical optimization and its application to the design of aerospace systems, including: mathematical formulation of multidisciplinary design problems, overview of gradient-based and gradient-free algorithms, optimality conditions (unconstrained and constrained, Pareto optimality), sensitivity analysis and multidisciplinary problem decomposition. No background in aerospace is required.

3

Spring/Summer

ISD 503 - Practicum

Systems Engineering Project Course - In this course, students will carry out a project in interdisciplinary teams, and where possible in conjunction with an internship held during the summer with an industrial or governmental sponsor. A faculty member will follow the progress and serve as an advisor to the project teams

6

 
 

SAMPLE PLAN OF STUDY

Course

Description

Credits

Fall

ISD 520 - Introduction to Systems Engineering

Introduction to the systems engineering process used to create multidisciplinary solutions to complex problems with multiple, often conflicting objectives; application to large developmental programs from such diverse areas as civil engineering and transportation, space and missiles, ships and land vehicle systems. Coursework includes homework assignments and projects.

3

EECS 557 - Communication Networks

System architectures. Data link control: error correction, protocol analysis, framing. Message delay: Markov processes, queuing, delays in statistical multiplexing, multiple users with reservations, limited service, priorities. Network delay: Kleinrock independence, reversibility, traffic flows, throughput analysis, Jackson networks. Multiple access networks: ALOHA and splitting protocols, carrier sensing, multi-access reservations.

3

IOE 511
(Math 562) - Continuous Optimization Methods

Survey of continuous optimization problems. Unconstrained optimization problems: unidirectional search techniques; gradient, conjugate direction, quasi-Newton methods. Introduction to constrained optimization using techniques of unconstrained optimization through penalty transformations, augmented Lagrangians, and others. Discussion of computer programs for various algorithms.

3

Winter

IOE 510
(Math 561) (OMS 518) - Linear Programming I

Formulation of problems from the private and public sectors using the mathematical model of linear programming. Development of the simplex algorithm; duality theory and economic interpretations. Post optimality (sensitivity) analysis application and interpretations. Introduction to transportation and assignment problems; special purpose algorithms and advanced computational techniques. Students have opportunities to formulate and solve models developed from more complex case studies and to use various computer programs.

3

AEROSP 450 - Flight Software Systems

Theory and practice of embedded flight software systems. Computational theory topics include discrete mathematics, finite automata, computational complexity and model checking. Software development concepts include object oriented programming, networks, multi-threaded software, real-time scheduling and sensor/actuator interface protocols. Emphasis placed on C/C++ development in Linux with guidance, navigational control applications. Lectures and laboratory.

3

AEROSP 583 - Management of Space Systems Design

Meets with AEROSP 483 (Space System Design) or other senior design course when appropriate topic is chosen. Students in this course lead teams in high level project design of a space system. Modern methods of concurrent engineering manufacturing, marketing and finance, etc., are incorporated.

4

AEROSP 588 - Multidisciplinary Design Optimization

Introduction to numerical optimization and its application to the design of aerospace systems, including: mathematical formulation of multidisciplinary design problems, overview of gradient-based and gradient-free algorithms, optimality conditions (unconstrained and constrained, Pareto optimality), sensitivity analysis and multidisciplinary problem decomposition. No background in aerospace is required.

3

Spring/Summer

ISD 503 - Extended Practicum

Systems Engineering Project Course - In this course, students will carry out a project in interdisciplinary teams, and where possible in conjunction with an internship held during the summer with an industrial or governmental sponsor. A faculty member will follow the progress and serve as an advisor to the project teams

9