This course prepares engineers to be leaders in organizations of varying size by simulating the planning, decision-making, and communication needed to take an idea from germination to execution and delivery, scaling a team from a few people to a ~200 person organization. You will be the VP of Engineering of your own startup where you will pitch an idea, develop it, plan the resources needed to deliver it, hire a team, and manage the organization.

This course covers the theoretical underpinnings of the various intelligent techniques used in manufacturing, practical know-how needed to quickly and powerfully program and apply these techniques to data, and some of the best practices of intelligent techniques in broad areas including robotics, text recognition, computer vision, image processing, and medical informatics. The course is open to undergraduate and graduate students.

This course provides an in-depth introduction to ocean renewable energy systems. It covers the primary options for converting the available energy in the offshore environment into electricity as well as other technologies, infrastructure and processes that are necessary to make such conversion practical. The conversion technologies that will be considered include offshore wind energy, wave energy, ocean currents, tidal energy, ocean thermal energy conversion (OTEC), and floating solar photovoltaics.

This course offers an examination of the principles of systems engineering (SE) and their application within engineering management contexts. Students will be introduced to the vocabulary and the core concepts and techniques (tools) of SE. Of particular focus is exploring how systems thinking, as a perspective, offers a valuable capability for holistically understanding and dealing with engineering management problems and challenges.

This course provides an overview of the fundamental concepts of basic accounting and finance, focusing on their application to managing engineering projects and organizations. Key topics covered include basic accounting terminology and methods, financial statements and how to interpret them, sources of finance available to businesses, engineering project accounting and financing, and personal and corporate financing basics.

Dynamic or sequential decision-making tackles a type of problems where decisions need to change over time to adapt to changing environments, occurring as a consequence of natural environmental dynamics and/or influence of prior decisions. These type of problems are encountered in a variety of fields.

Prescriptive analytics is the process of utilizing and analyzing data to make "optimal" decisions. In this course we will build optimization tools for data-driven decision making using Python along with the Gurobi optimizer (available freely for teaching purposes). This course will start with an introduction to both Python and optimization modelling. We will rapidly progress to building large linear programming and mixed integer programming models that are often used for decision making in data-intensive businesses.

Data analytics, statistical/machine learning, and predictive modeling are now used widely in all fields. The purpose of this course is to provide introductory knowledge that will help students understand the fundamentals of the field and use software packages to solve problems. The emphasis will be on applying the statistical methods to real data sets. The 600-level class will require students to explore topics in more depth.

This course introduces the basic principles and applications of optical materials, components, systems, processing, and characterization methods. Furthermore, it explores the fundamentals of optical and optoelectronic phenomena and devices, based on classical and quantum properties of radiation and matter. This course also provides the fundamental knowledge for understanding optical metamaterials and their applications. This course will be particularly useful for graduate students who want to learn contemporary optical engineering and photonics without particular prerequisites.

Covers fundamental topics in advanced manufacturing processes. Includes polymer extrusion, thermoforming, polymer-on-polymer stamping, injection molding, 3D printing, chemical vapor deposition, sputter coating and deposition, micro and nanomanufacturing. Emphasizes on fundamental principles of polymer manufacturing processes, selection of materials relative to product design and manufacturing processes, and design for manufacturability. Explores recent advances in polymer manufacturing from macro to nano scale.