Academic Calendar 2022-2023

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CMPE 251 Data Analytics

CMPE 251  Data Analytics  Units: 3.00  

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.
K3(Lec: 3, Lab: 0, Tut: 0)

Requirements: Prerequisites: APSC 142 or APSC 143 or MNTC 313, or programming experience recommended Corequisites: Exclusions: CISC 251, CMPE 333, CISC 333  
Offering Term: F  
CEAB Units:    
Mathematics 10  
Natural Sciences 0  
Complementary Studies 0  
Engineering Science 14  
Engineering Design 12  
Offering Faculty: Fac of Engineering Appl Sci