IS 407

Fall 2020 All Classes

All Classes

Credit: 4 hours.

This course introduces students to data science approaches that have emerged from recent advances in programming and computing technology. They will learn to collect and use data from a variety of sources, including the web, in a modern statistical inference and visualization paradigm. The course will be based in the programming language R, but will also use HTML, regular expressions, basic unix tools, XML, and SQL. Supervised and unsupervised statistical learning techniques made possible by recent advances in computing power will also be covered.

4 undergraduate hours. 4 graduate hours.

This course satisfies the General Education Criteria in Fall 2022 for:

IS 407 class schedule data for fall 2020
CRN Type Section Time Day Location Instructor Section Details
73126
Online
AOG
9:30AM -11:30AM
T
n.a.
He, J
Part of Term:
1
Date Range:
08/24/20-12/09/20
Degree Notes:
ONL Info Science rate course.
Section Info:
Graduate student questions may be sent to ischool-advising@illinois.edu
Restriction(s):
Restricted to students in the Illinois Informatics Institute or Information Sciences department.
Restricted to Graduate - Urbana-Champaign.
73127
Online
AOU
9:30AM -11:30AM
T
n.a.
He, J
Part of Term:
1
Date Range:
08/24/20-12/09/20
Degree Notes:
ONL Info Science rate course.
Section Info:
Restricted to Undergraduates with Junior standing or above. Restricted to Information Sciences majors until one week before classes begin (by noon 8/17/2020). Undergraduate questions may be sent to ischool-is@illinois.edu
Restriction(s):
Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.
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