Schedule

BIOE 488

Week 1

Lecture	Intro to BIOE 488
Lab	HAL Tutorial; GIT for Labs and MPs; Python basic tutorial
Machine Problem

Week 2

Lecture	Python functions, optional arguments, lists and tuples; Numpy functions
Lab	Medical image formats; Loading and visualizing images
Machine Problem

Week 3

Lecture	Elements of a CPU, basic computation, Pipelining
Lab	Vectorization; Vectorized operations in Numpy
Machine Problem

Week 4

Lecture	Memory hierarchies; Caches
Lab	Convolutions (1-D, 2-D)
Machine Problem	MP1 release - 1D, 2D convolutions and edge detection

Week 5

Lecture	Week 5 Modern multicore processors and architectures
Lab	Image deconvolution intro
Machine Problem

Week 6

Lecture	Threads and processes
Lab	3D Convolution & Richardson Lucy Algorithm
Machine Problem	MP2 release - 3D conv and RL for a medical image

Week 7

Lecture	Integer and floating-point representations
Lab	Numerical representation errors; Algorithm speedup
Machine Problem

Week 8

Lecture	Parallel programming concepts; Functional vs data parallelism
Lab	Python multiprocessing module
Machine Problem	MP3 release - parallel RL algorithm on multiple images

Week 9

Lecture	GPU introduction
Lab	Numba decorators for parallel and GPU computing
Machine Problem

Week 10

Lecture	Implementing parallel algorithms in a GPU
Lab	3D conv in GPU
Machine Problem	MP4 release - 3D conv in GPU

Week 11

Lecture	Intro to Tensorflow
Lab	TF tutorial; How convolutions work in TF
Machine Problem

Week 12

Lecture	Intro to linear regressionML workflow
Lab	Training, testing ML models, metrics, visualizing loss
Machine Problem	MP5 release - linear regression in TF

Week 13

Lecture	Fall Break
Lab	Take a break
Machine Problem	Sleep

Week 14

Lecture	Convolutional Neural Net Intro
Lab	CNN example in TF, tensorboard
Machine Problem

Week 15

Lecture	Final Quiz
Lab	Final Quiz
Machine Problem