Oct 29, 2020  
2018-2019 Faculty of Engineering and Applied Science Calendar 
    
2018-2019 Faculty of Engineering and Applied Science Calendar [ARCHIVED CATALOG]

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CMPE 333 Data Analytics F | 3


Lecture: 3
Lab: 0
Tutorial: 0
Introduction to data analytics; data preparation; assessing performance; prediction methods such as decision trees, random forests, support vector machines, neural networks and rules; ensemble methods such as bagging and boosting; clustering techniques such as expectation-maximization, matrix decompositions, and biclustering; attribute selection.

Academic Units:
Mathematics 10
Natural Sciences 0
Complementary Studies 0
Engineering Science 14
Engineering Design 12

PREREQUISITE(S): APSC 142 or APSC 143, or programming experience recommended.
EXCLUSION(S): CISC 251, CISC 333



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