ME Elective Course Descriptions
The following are course listings and course descriptions for Mechanical Engineering electives, for Spring 2022.
Instructor: Briana Bouchard
Schedule: Tuesday 4:30-5:45 PM
Description: Career oriented electronic portfolio development for sophomore level mechanical engineers. Overview of various GUI-based portfolio platforms, HTML and CSS languages. Applications of dynamic content and media in multiple formats (gif, jpeg, etc). Learning reflections. Peer reviews and feedback. Ethics and social justice discussions.
Note this course is 1 SHU and Pass/Fail only.
Instructor: Brandon Stafford
Schedule: Tuesday & Thursday 10:30-11:45 AM
Description: Explore design thinking through a series of practical design challenges, coupled with design review by your peers and the instructor. Over the course of the semester, you will face approximately six challenges that require you, sometimes alone, sometimes as a team, to design, prototype, and fabricate working solutions. Emphasis will be placed on understanding real-world design constraints resulting from different fabrication methods, hardware selection, and material properties. An effort will be made to allow students to pursue areas of personal interest, such as mechanisms, embedded electronics, or robotics, in the context of the design challenges. Students with scant interest in fabrication are encouraged to enroll in other courses. The course will have no textbook, but there will be some expenses for materials incurred.
Pre-requisites: Senior standing
Instructors: Dan Hannon & Gary Leisk
Schedule: Tuesday 4:30-7:30 PM
Description: End-to-end prototype development process in support of a person with a disability. Innovative, technological solutions based on human-centered design principles. Techniques for user needs elicitation, design ideation, workflow design, electro-mechanical system design and integration, materials selection, rapid prototyping, manufacturing concepts, and end-user testing. Students will work on multi-disciplinary teams and produce at a minimum a phase 1 prototype solution.
Instructor: Howard Hamilton
Schedule: Tuesday & Thursday 6:00-7:15 PM, Virtual
Description: Data exploration and preparation. Purpose of modeling, prediction vs. description. Modeling algorithms. Data visualization and recording. Real world examples, possibly including internet of things, monitoring failure onset in machinery. Student project.
Recommendations: Math51, ES2/COMP11 or equivalent.
Instructor: Chris Rogers
Schedule: Monday & Wednesday 10:30-11:45 AM
Description: In this class, we will be building robotics for the classroom. A lot of the emphasis will be on how to design robots to teach various concepts and how to make them resilient and easy to use. For the final project, we will team with students from Marina Bers’s Child Development class. Pre-requisites: ME 35 or graduate standing
Instructor: Pratap Misra
Schedule: Tuesday & Thursday 1:30-2:45 PM
Description: Multiple-input, multiple-output (MIMO) linear dynamical systems; state-space approach; random processes; parameter estimation; Kalman filters; sensor fusion; applications in autonomous vehicles. Prerequisite: ME31, or equivalent
Instructor: Bryony DuPont
Schedule: Monday & Wednesday 3:00-4:15 PM
Description: A deep dive into the physical, social, technical, and environmental factors that govern the design of wind energy systems. Each week highlights a different topic in wind energy, from the design of the towers, blades, and gearboxes, to the layout of larger farms, with focus on computational and numerical modeling of the wind itself, power development, and system costs. Emerging topics in wind systems design will also be investigated, including vertical axis wind systems and floating offshore wind systems, with emphasis on development on the Pacific coast of the United States. The course will culminate in a team-based design project assessing and optimizing the design of wind systems for various applications and locations.
Instructor: Mark Kachanov
Schedule: Asynchronous Virtual
Description: Review of tensors, strains, and stresses. Hooke’s law for isotropic materials. Anisotropy of materials. Introduction to the effective properties of heterogeneous materials. Effective properties of damaged solids. Basic concepts of fracture mechanics.
Instructor: Greses Perez
Schedule: Wednesday 1:30-4:30 PM
Description: Even though engineering and science are tasked with developing solutions and knowledge for a diverse population, Black and Brown communities remain systematically marginalized in these disciplines. The problem exceeds easy solutions like having “a seat at the table” and requires rethinking with whom and for whom the field develops technologies and ideas. In looking at disciplinary communities of practice, scholarship in science and engineering education offers guidance on how to address this challenge between the demographics of the fields and a growing diverse population. In this course, we will engage with research examining the role of race/ethnicity, language resources and cultural understandings in who is heard and can contribute to engineering and science. The course is designed for undergraduates and graduate students from all departments in the School of Engineering, and for graduate students in the STEM Education and MAT Engineering programs in the Education department. The focus is on scholarship in engineering and science education as well as the learning sciences across lifespan.
Instructor: Georgios Karamanis
Schedule: Tuesday & Thursday 3:00-4:15 PM
Description: Structural, thermal, and fluid flow analysis using commercial and open-source software packages. Breakdown of modelling workflow. Selection of appropriate model properties, boundary conditions, and numerical algorithms based on underlying physics. Interpretation of results and identification of sources of error.
A detailed overview of the course can be found here.