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Category: Classes

ABE 591: Machine Learning & High-Performance Computing for Digital Ag & Biological Engineering; Part 1: Algorithms, resilient data lakes, & analytics at the edge

Dr. Somali Chaterji (Assistant Professor, Department of Ag and Biological Engineering, Purdue University) will be offering a one-credit data science & data engineering course for non-computer science majors titled: ABE 591: “Machine Learning & High-Performance Computing for Digital Ag & Biological Engineering; Part 1: Algorithms, resilient data lakes, & analytics at the edge”. This course is about data stories, data lakes, and algorithms that will provide the conceptual and foundational bases for machine learning (ML) applied to genomics, digital agriculture, and IoT, to name a few domains. These are some… Read more ABE 591: Machine Learning & High-Performance Computing for Digital Ag & Biological Engineering; Part 1: Algorithms, resilient data lakes, & analytics at the edge

Undergraduate Research Assistant Positions at Bumsoo Han’s Research Group

We are looking for motivated students who are interested in research in biomechanical engineering and biomaterials. The groups research aims to develop new biomaterials and tissue models using microfluidics and 3D printing technologies. These models are used to quantitatively measure cellular processes, discover new drugs, and test drug formulations for effective delivery. For Spring 2020, we are looking for students for following projects: Development of new hybrid hydrogel-elastomer materials 3D printed tumor-on-chip microfluidic platforms for high throughput drug screening Strong background in mechanical engineering disciplines are desired. These include thermal… Read more Undergraduate Research Assistant Positions at Bumsoo Han’s Research Group

Looking for Research in Fall 2019?

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?

IE 590: Robotics and Machine Vision (Technical Elective Credit)

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)

BIOL 396 – Premedical Planning Seminar

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.