CS 1656 Introduction to Data Science (CS 2056)

Description

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.

  • Credits: 3

Prerequisites

Requirements and Grading

Programming assignments, class participation, midterm examination, and final examination.

Current Sections

Spring 2019

Class No.
Days
Times
Room
Instructor(s)
TA(s)
Type
Session
Writing
Class No.: 27829 (1030)
Days: TuTh
Times: 2:30 pm - 3:45 pm
Room: BENDM 158
Instructor(s): A. Labrinidis
TA(s):
Type: LEC
Session: AT
Writing:
Class No.: 27830 (1030)
Days: F
Times: 10:00 am - 10:50 am
Room: IS 501
Instructor(s):
TA(s): TBD
Type: REC
Session: AT
Writing:
Class No.: 27831 (1030)
Days: F
Times: 11:00 am - 11:50 am
Room: IS 501
Instructor(s):
TA(s): TBD
Type: REC
Session: AT
Writing:

Past Sections

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