Agenda
Tuesday 02/19/20
Due
- 2 graphs in illustrator based on class lecture and collected data. We will review and edit today. Please save your work as a PDF, into the class Google folder, with your name on it: Homework-Week3
- Collected Data: Class Spreadsheet-LinkTo
Lecture
- Visualizing Data – PDF presentation:
Fresques, Hannah. “Visualizing Data” Data Institute 2018 ProPublica, October 1, 2018. (ProPublica) - Representing information in charts and how it can go wrong.
lessons from Edward Tufte: - Lesson: link to AI file template here In Class Lesson Example – Week3
- Introduction to Project 1: Project 1- Overview
- TOPIC: DNA can/could be used for __________ ?
Homework
Read
Make sure you have access to Canvas (you should have all received and email from the BioDesign Challenge. Please let me know if you did not.)
About DNA
- Read: Marizzi, Christine. Urban Barcode Project showcases student research in biodiversity, DNALC, July 23, 2019
- Read: Nadis, Steve. Hardy microbe’s DNA could be a time capsule for the ages American Association for the Advancement of Science, Feb. 18, 2020
- Read/Watch: this animation explaining how DNA barcodes can be used to identify species and answer questions about biodiversity, food fraud, and invasive species. The steps involved in DNA barcoding are explained, from sample collection, DNA isolation and PCR, through to sequencing and bioinformatics analysis: The DNA Learning Center
History of Information Design
- Read: Forrest, Jason. “W. E. B. Du Bois’ staggering Data Visualizations are as powerful today as they were in 1900 (Part 2&3)” Medium, Jul 18, 2018. (Medium)
- Read: Charles-Joseph Minard: “A Legacy of Beautiful Data-based Maps” The Dirt, Oct 03, 2018. (The Dirt)
Video
- Watch: Amazon Empire, The Rise and Reign of Jeff Bezos, Frontline, Feb, 18, 2020. (PBS FRONTLINE)
- Watch: Stoeckle Mark, Using DNA Barcodes to Identify and Classify Living Things, The Rockefeller University
Assignment
- Decide on topic for Info Graphic
- Research topic. Find at least three resources with relevant data.