2 classes matched your search criteria.
PA 5929 is also offered in Spring 2025
PA 5929 is also offered in Fall 2024
PA 5929 is also offered in Spring 2024
PA 5929 is also offered in Fall 2023
PA 5929 is also offered in Spring 2023
PA 5929 is also offered in Fall 2022
PA 5929 is also offered in Spring 2022
PA 5929 is also offered in Fall 2021
Spring 2025 | PA 5929 Section 001: Data Visualization: Telling Stories with Numbers (56928)
- Instructor(s)
- Class Component:
- Laboratory
- Credits:
- 2 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Graduate Student
- Times and Locations:
- Regular Academic Session01/21/2025 - 05/05/2025Mon 04:00PM - 05:40PMUMTC, West BankHubert H Humphrey Center 85
- Enrollment Status:
- Open (0 of 32 seats filled)
- Also Offered:
- Course Catalog Description:
- Tools for communicating quantitative information in an intelligent, effective and persuasive way. Topics covered include 1) writing and speaking about data; 2) data management in Excel in order to prepare data for charting; 3) understanding and ability to deploy core concepts in of design, layout, typography and color to maximize the impact of their data visualizations 4) determining which types of statistical measures are most effective for each type of data and message; 5) determining which types of design to use for communicating quantitative information; and 6) designing graphs and tables that are intelligent and compelling for communicating quantitative information.
- Class Description:
- This course will teach students how to assess, clean, 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 goal of the course is to provide students with the technical and perceptual tools for communicating data and 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:
- 80% Series of 30 exercises
10% Final project
10% Attendance and participation - Exam Format:
- No exams
- Class Format:
- This class will combine lecture, in-class critique of data visualization approaches and discussion, and practical lab exercises. Classes will begin with a lecture to introduce topics to be explored and discussed, from which students will work on in the exercises. Hands-on work with the software will also be emphasized to allow students to complete the exercises 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. Students will work with and become familiar with the core visualization functions in Microsoft Excel, Adobe Illustrator, Tableau and RStudio.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/56928/1253
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/maas0021_PA5929_Fall2018.docx (Fall 2018)
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Spring2018.pdf (Spring 2018) - Instructor Supplied Information Last Updated:
- 7 May 2024
Spring 2025 | PA 5929 Section 002: Data Visualization: Telling Stories with Numbers (56990)
- Instructor(s)
- Class Component:
- Laboratory
- Credits:
- 2 Credits
- Grading Basis:
- Student Option
- Instructor Consent:
- No Special Consent Required
- Instruction Mode:
- In Person
- Class Attributes:
- Online Course
- Enrollment Requirements:
- Graduate Student
- Times and Locations:
- Regular Academic Session01/21/2025 - 05/05/2025Thu 05:45PM - 07:20PMUMTC, West BankHubert H Humphrey Center 85
- Enrollment Status:
- Open (0 of 32 seats filled)
- Also Offered:
- Course Catalog Description:
- Tools for communicating quantitative information in an intelligent, effective and persuasive way. Topics covered include 1) writing and speaking about data; 2) data management in Excel in order to prepare data for charting; 3) understanding and ability to deploy core concepts in of design, layout, typography and color to maximize the impact of their data visualizations 4) determining which types of statistical measures are most effective for each type of data and message; 5) determining which types of design to use for communicating quantitative information; and 6) designing graphs and tables that are intelligent and compelling for communicating quantitative information.
- Class Description:
- This course will teach students how to assess, clean, 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 goal of the course is to provide students with the technical and perceptual tools for communicating data and 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:
- 80% Series of 30 exercises
10% Final project
10% Attendance and participation - Exam Format:
- No exams
- Class Format:
- This class will combine lecture, in-class critique of data visualization approaches and discussion, and practical lab exercises. Classes will begin with a lecture to introduce topics to be explored and discussed, from which students will work on in the exercises. Hands-on work with the software will also be emphasized to allow students to complete the exercises 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. Students will work with and become familiar with the core visualization functions in Microsoft Excel, Adobe Illustrator, Tableau and RStudio.
- Textbooks:
- https://bookstores.umn.edu/course-lookup/56990/1253
- Past Syllabi:
- http://classinfo.umn.edu/syllabi/maas0021_PA5929_Fall2018.docx (Fall 2018)
http://classinfo.umn.edu/syllabi/maas0021_PA5929_Spring2018.pdf (Spring 2018) - Instructor Supplied Information Last Updated:
- 7 May 2024
ClassInfo Links - Spring 2025 Public Affairs Classes
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