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ECE 461P ECE 461P. Data Science Principles. 4 Hours.

Examine principles of unsupervised and supervised learning; exploratory data analysis; feature engineering; predictive modeling for regression and classification; clustering algorithms; neural networks and stochastic gradient descent methods; scalable models for Big Data sets; case studies; and programming predictive models in Python and R. Four lecture hours a week for one semester. Only one of following may be counted: Electrical and Computer Engineering 461P, Electrical Engineering 361M, 461P. Prerequisite: The following with a grade of at least C- in each: Mathematics 340L; and Biomedical Engineering 343, Electrical and Computer Engineering 313 (or Electrical Engineering 313), or 313H; and Biomedical Engineering 335 or Electrical and Computer Engineering 351K (or Electrical Engineering 351K), 351H, or Mathematics 362K.

Bachelor of Science in Electrical and Computer Engineering



...ECE honors course, ECE 302H , ECE 312H , ECE...Electrical and Computer Engineering 461P , Data Science Principles...