Fall 2018  |  PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (24357)

Instructor(s)
Class Component:
Laboratory
Credits:
1.5 Credits
Grading Basis:
Student Option
Instructor Consent:
No Special Consent Required
Instruction Mode:
In Person Term Based
Times and Locations:
First Half of Term
 
09/04/2018 - 10/22/2018
Mon 06:00PM - 08:45PM
UMTC, West Bank
Hubert H Humphrey Center 85
Enrollment Status:
Closed (27 of 25 seats filled)
Also Offered:
Course Catalog Description:
Tools for communicating quantitative information in an intelligent, effective and persuasive way. Topics covered include 1) determining which types of statistical measures are most effective for each type of data and message; 2) determining which types of design to use for communicating quantitative information; and 3) designing graphs and tables that are intelligent and compelling for communicating quantitative information.
Class Notes:
PA 5929 will also be offered in Spring semester. http://classinfo.umn.edu/?maas0021+PA5929+Fall2018
Class Description:
This course will teach students how to organize and present data in the most effective way. Lectures will explore theories and elements of graphs and tables design, more specifically with how to create and organize tables and data. The central goal is to provide students with the tools for communicating information in an intelligent, effective and persuasive way.
Who Should Take This Class?:
Students interested in efficiently and effectively communicating data visually.
Learning Objectives:
Develop a firm understanding of the role of design, color, composition, type and statistical rigor in effectively communicating data visually.
Grading:
15% class attendance and completion of in-class exercises
70% series of six assignments
15% final project
Exam Format:
No exams
Class Format:
This class will combine lecture, discussion, and practical exercises. Classes will begin with short lecture to introduce topics to be explored and discussed. Hands-on work with the software will also be emphasized to allow students to complete the assignments and relate their skills to their own research interests.
Workload:
Weekly lectures including critique of data visualizations, in-class labs each week to help students gain familiarity with the tools and weekly assignments.
Textbooks:
https://bookstores.umn.edu/course-lookup/24357/1189
Syllabus:
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Fall2018.docx
Past Syllabi:
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Spring2018.pdf (Spring 2018)
Instructor Supplied Information Last Updated:
10 November 2017

ClassInfo Links - Fall 2018 Public Affairs Classes

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