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
  • Frequency: At least once a year

Prerequisites

Requirements and Grading

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

Current Sections

Spring 2017

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
30002(A) TH 9:30 am - 10:45 am LAWRN 233 A. Labrinidis
CS/36 LEC TERM
30000(A1) W 1:00 pm - 1:50 pm LAWRN 233 A. Shein
CS/18 REC TERM
30001(A2) W 2:00 pm - 2:50 pm LAWRN 233 A. Shein
CS/18 REC TERM

Past Sections

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

Fall 2016

Class Number Days Hours Room Instructor TA/Grader Dept/Limit Type Session Writing
29061(A) MW 1:00 pm - 2:15 pm SENSQ 5129 A. Labrinidis
CS/44 LEC TERM
29066(A1) F 9:00 am - 9:50 am SENSQ 6110 Z. Agha
CS/22 REC TERM
29067(A2) F 1:00 pm - 1:50 pm SENSQ 6110 Z. Agha
CS/22 REC TERM