M E Lab II
Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.
M E Lab II
Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.
M E Lab II
Theory and execution of selected mechanical engineering measurements. Lectures and 1 three-hour lab meeting.
P-Enginr Instruction Practicum
The objective of this class is to gain a deeper understanding of several issues related to teaching and learning, including how students learn, different methods of instruction and mentoring, and the challenges in making and grading assignments.
P-Competition Team Leadership
The objective of this class is to gain an understanding of leading a competitive team including organizing and motivating team members, managing the design process, planning, financing and fund-raising, logistics, travel, and safety. Students are expected to contribute to their respective team (ASME, FSAE, Rocket, SMV, UAV, etc.) throughout the semester and to meet with the team faculty advisor regularly. This class satisfies the MIE or IE Elective requirement, but not a technical elective.
ST-Fundamentals/Data Visualatn
The world is becoming increasingly data rich, and our ability to make good decisions in all realms - from personal to policy - rests on our abilities to analyze and convey data in meaningful ways. Unfortunately, human beings are limited in our perceptual and cognitive abilities, making it difficult for us to use these large amounts of data. Data visualization holds promise as one mechanism for making sense of and presenting large amounts of data in a way that reduces information overload, and supports comprehension, memory, and decision-making.
Hnrs Indstu In Mie
Not available at this time
Independent Study
Not available at this time
Sem-Engn Professnlsm
A professionally oriented seminar with faculty, university administration, and alumni speakers. Topics include: starting career options; career development; safety; switching companies and careers; working for oneself; graduate school.
Oper Research II
Stochastic models including discrete time Markov chains, continuous time Markov processes, Markov decision processes, queuing theory, dynamic programming and their application to manufacturing and service sector engineering processes.