CS 480/697 Big Data Analytics
Tentative Course Schedule
Fall 2016
Dr. Ming Ouang and Dr. Wei Ding
The course schedule is tentative. Actual contents
to be covered depend on progress.
Lecture notes can be downloaded through your
UMass Blackboard Vista account.
- Week 1: Course Intro
- Weeks 2 and 3: GPU and CUDA
- Weeks 3 and 4: Intel Xeon Phi and OpenCL
- Week 5: Tools for deep learning applications
- Week 6 and Week 7: Applied Math and Machine Learning Basics (Linear Algebra, Probability and Information Theory, Numerical Computation, Machine Learning Basics)
- Week 8 and Week 9 Deep Feedforward Networks and Regularization; 11/03/2016, Exam I
- Week 10: Optimization for Training Deep Models
- Week 11 and Week 12: Convolutional Networks
- Week 13 and Week 14: Sequence Modeling: Recurrent and Recursive Nets
- Week 15: Practical Methodology; 12/13/2016 Exam II
- Dec 22, 3:00 PM - 6:00 PM, Term Project Presentation
© Wei Ding, 2016, all rights reserved. This document is
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University of Massachusetts Boston. Copying, distribution or other
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