Master of Engineering in Systems Engineering + Design

Master of Engineering in Systems Engineering + Design

Software-Enabled System Design Specialization

Provides the perspective of an integrated view where the design of both the physical/mechanical system and the software is done simultaneously. This leads to improvement in the final product in areas such as mechanical, vehicle, aerospace, naval, and nuclear design.

 

SAMPLE PLAN OF STUDY

Course

Description

Credits

Fall

EECS 402 – Computer Programming for Scientists and Engineers

Presents concepts and hands-on experience for designing and writing programs using one or more programming languages currently important in solving real-world problems. Intended for senior undergraduates and graduate students in science or engineering fields. Not available for credit to EECS majors; will not substitute for Eng. 101.

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 501 – Probability and Random Processes

Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation and convergence of random sequences.

4

IOE 434 – Human Error and Complex System Failures

Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation and convergence of random sequences.

3

Winter

IOE 510
(Math 561) (OMS 518)

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

CEE 501

 

 

CEE 567
(ESENG 567)

Technologies and economics of electric power generation, transmission and distribution are discussed. Centralized versus distributed generation and fossil fuels versus renewable resources, are considered in regard to engineering, market and regulatory principles. Students develop an understanding of energy challenges confronting society and investigate technologies that seek to address future needs.

3

CEE 810

Preparation and presentation of reports covering assigned topics.

 

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 501 - Probability and Random Processes

Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation and convergence of random sequences.

4

IOE 434 - Human Error and Complex System Failures

Introduction to probability and random processes. Topics include probability axioms, sigma algebras, random vectors, expectation, probability distributions and densities, Poisson and Wiener processes, stationary processes, autocorrelation, spectral density, effects of filtering, linear least-squares estimation and convergence of random sequences.

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

CEE 501

 

3

CEE 567
(ESENG 567) - Energy Infrastructure Systems

Technologies and economics of electric power generation, transmission and distribution are discussed. Centralized versus distributed generation and fossil fuels versus renewable resources, are considered in regard to engineering, market and regulatory principles. Students develop an understanding of energy challenges confronting society and investigate technologies that seek to address future needs.

3

CEE 810 - Special Topics in Structures and Materials

Preparation and presentation of reports covering assigned topics.

 

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