An introduction to using computer applications to solve engineering problems. Learning the rudiments of MATLAB, Excel, and Python in order to design and/or visualize systems. Emphasis is on learning to use these applications appropriately and efficiently, with well structured code that is commented and includes checks to find errors.

Complex numbers. First-order differential equations. Matrices and systems of linear equations. Vector spaces and linear transformations. 2nd-order linear differential equations and the Laplace transform. Systems of differential equations.

Complex numbers. First-order differential equations. Matrices and systems of linear equations. Vector spaces and linear transformations. 2nd-order linear differential equations and the Laplace transform. Systems of differential equations.

Complex numbers. First-order differential equations. Matrices and systems of linear equations. Vector spaces and linear transformations. 2nd-order linear differential equations and the Laplace transform. Systems of differential equations.

This is a stand-alone independent study designed by the student and faculty sponsor that involves frequent interaction between instructor and student. Qualitative and quantitative enrichment must be evident on the proposed contract before consent is given to undertake the study

Not available at this time

This honors colloquium combines theory and experimentation in security engineering. The colloquium will focus on Machine Learning and the threats and vulnerabilities that arise in embedded applications, focusing on image analysis. It will build on the security engineering principles and methods developed in the main part of the course. Students will use modern cloud-based software packages and data-sets from the ML research community and will leverage current UMass research in secure embedded systems.

This honors colloquium will be project and team-oriented. The project will have some connection to the broad field of signals and systems including, but not restricted to, the topic areas: Digital communication systems, Digital signal and image processing, Computer networks/communications, Feedback control systems. The projects will be coding and simulation-based, using MATLAB, Python, and Simulink. Projects with a hardware component will also be considered on an individual basis.

Not available at this time