CS 2056 INTRODUCTION TO DATA SCIENCE

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
  • Frequency: Every term

Prerequisites

Requirements and Grading

Past Sections

To view the sections for a term, click on it's name below.

Spring 2017

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
30005(A) TH 9:30 am - 10:45 am LAWRN 233 A. Labrinidis
CS/4 LEC TERM
30003(A1) W 1:00 pm - 1:50 pm LAWRN 233 CS/2 REC TERM
30004(A2) W 2:00 pm - 2:50 pm LAWRN 233 CS/2 REC TERM

Fall 2016

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
29062(A) MW 1:00 pm - 2:15 pm SENSQ 5129 A. Labrinidis
CS/4 LEC TERM
29064(A1) F 9:00 am - 9:50 am SENSQ 6110 CS/2 REC TERM
29065(A2) F 1:00 pm - 1:50 pm SENSQ 6110 CS/2 REC TERM