ME 49800 (Fa19) Project (3 credit hours)Contact: Prof. Wassgren (wassgren@purdue.edu) Project Title: Optimizing Particle Shape For Flow and Packing Project DescriptionThe objective of this project is to determine what particle shapes result in good bulk flow behavior, but dense packings when flow ceases. This information is useful in the design of particles for use in powder bed fusion 3D-printing applications. In powder-based 3D printing, particles will ideally flow well in order to form a uniform powder base layer, but pack densely and uniformly so that fused powder parts have uniform,… Read more Looking for Research in Fall 2019? →
Study Abroad Scholarship Information Apply Here
NEW CLASS IE 590, FALL 2019:DEEP LEARNING AND MACHINE VISION*Dr. Juan P. Wachs (jpwachs@purdue.edu) This course combines practically relevant methods, tools and applications related to deep learning in computer vision. Specifically, we will look at how data science principles are applied to computer vision through: (1) teaching neural networks including deep configurations with recent advances such as Generative Adversarial Networks (GANs), Long short-term memory (LSTMs), Style Transfer, and Autoencoders. Program Overview (in a nutshell):1. Introduction to computer vision and deep learning.2. Linear Classification, Loss Functions, Neural Networks and Backpropagation3. CNNs and Recurrent… Read more IE 590: Robotics and Machine Vision (Technical Elective Credit) →
There is still space for more ME Students in this class. Applications will be accepted until all positions filled! Students wishing to enroll must submit a current resume, and a… Read more UPDATE: Space Still Available! Boeing AerosPACE Tech Elective →
What is Boeing Aerospace Partner for the Advancement of Collaborative Engineering (AerosPACE)? It is a Boeing-sponsored, two (2) semester, six (6) credit award winning sequence, where senior students from multiple… Read more ME 49601 – Boeing AerosPACE | Tech Elective (Fall 2019) & Senior Design (Spring 2020) Credit →
This course is designed for sophomore and junior students who are planning to attend medical school. The course offers information and advice on the MCAT, the application process, the personal statement, the interview, and letters of recommendation. Students in the course will also formulate an alternative career plan. The course meets the first 10 weeks of the semester. Typically offered Spring.
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Register here
Print / Fill out the application at the bottom of this post! Email the application to Professor Zschau here.
For international students: Link to Registration
Learn more here: https://www.mse.cornell.edu/mse/programs/graduate-programs/master-engineering Past project examples: https://www.mse.cornell.edu/mse/programs/graduate-programs/master-engineering/meng-projects APPLY HERE: https://gradschool.cornell.edu/admissions/apply/apply-now/
Find out more at agilestrategylab.org/onecredit/
This course is a technical elective for ME’s.
This Maymester course would satisfy the ME WAC Elective requirement!
This course is a free elective.
Israel Flyer pdf
Link
This class counts as a technical elective course.