CS 1656 INTRODUCTION TO DATA SCIENCE

Description

Minimum Credits: 3
Maximum Credits: 3
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)

Current Sections

Fall 2019

Class No.
Days
Times
Room
Instructor(s)
TA(s)
Type
Session
Writing
Class No.: 25445 (1130)
Days: TuTh
Times: 1:00 pm - 2:15 pm
Room: SENSQ 5129
Instructor(s): A. Labrinidis
TA(s):
Type: LEC
Session: AT
Writing:
Class No.: 25447 (1130)
Days: F
Times: 12:00 pm - 12:50 pm
Room: SENSQ 5313
Instructor(s):
TA(s): TBD
Type: REC
Session: AT
Writing:
Class No.: 25448 (1130)
Days: F
Times: 2:00 pm - 2:50 pm
Room: SENSQ 5313
Instructor(s):
TA(s): TBD
Type: REC
Session: AT
Writing:

Future Sections

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Past Sections

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