CS 1656 - INTRODUCTION TO DATA SCIENCE

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' For All Listed Coures); PROG: Dietrich Sch Arts and Sciences or Sch Computing and Information

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