CS 1656 INTRODUCTION TO DATA SCIENCE

This course aims to expose students to different data management, data manipulation, and data analysis techniques. The class will cover all the major data management paradigms (relational/SQL, XML/Xquery, RDF/SPARQL) including NOSQL and data stream processing approaches. Going beyond traditional data management techniques, the class will expose students to information retrieval, data mining, data warehousing, network analysis, and other data analysis topics. Time permitting, the class will include big data processing techniques, such as the map/reduce framework.

Academic Career: Undergraduate
Course Component: Lecture
Grade Component: LG/SNC Elective Basis
Course Requirements: PREQ: CS 1501 or COE 1501 (MIN GRADE 'C' or Transfer For All Listed Coures)
Minimum Credits: 3
Maximum Credits: 3

Current Sections

Fall 2022

Class No.DaysTimesRoomInstructor(s)TA(s)Type
30469 (1130)MW9:30 am - 10:45 amSENSQ 5502X. Jia
LEC
27824 (1130)F10:00 am - 10:50 amSENSQ 6110M. Inan
REC
30789 (1130)F12:00 pm - 12:50 pmSENSQ 6110M. Inan
REC