Subject:
Management Sciences (MSCI)
Catalog number:
723
Unit weight:
0.50
Meet type:
LEC,RDG
Grading basis:
NUM
Cross-listing(s):
N/A
Requisites:
Instructor Consent Required
Description:
This course focuses on methods and algorithms for turning very large collections of data into actionable insight. Topics may include data profiling, transformation and cleaning, data mining, data warehousing and cloud computing. Applications will be drawn from various areas such as smart grid analytics and ubiquitous computing. Students will read and present papers and complete a research project. Priority may be given to Management Science students. Previous studies in programming, algorithms, statistics and database management are necessary background topics for those taking this course.
Topic titles:
N/A
Faculty:
Engineering (ENG)
Academic level:
GRD
Course ID:
014926
