The curriculum provided below is the recommended and supported curriculum for the 2020/21 school year.
This course is eligible for URI concurrent enrollment for CSC101 (4 credits). Teachers trained in 2017/18 or later may offer this course for concurrent enrollment credit.
Note that the following curriculum was updated in July 2020. If you were trained prior to 2020, you can find the 2019/20 curriculum here. You may use the previous or current (updated) curriculum if you were trained prior to 2020, but please note that older versions of the curriculum will not be supported in 2021/22. If you were trained in 2020 or later, you must use the most updated version.
See the 2020 change documentation for updates to the previous curriculum.
Use the Course Manual for help navigating course resources.
Lesson 1: Introduction to Computing and Data Science
Lesson 2: Introduction to Graphic Design
Lesson 3: Introduction to Google Sites
Lesson 4: Introduction to Google Forms
Lesson 5: Web Programming
Lesson 6: Simulation Programming
Lesson 1: Introduction to Spreadsheets
Lesson 2: Posing a Big Question about Data
Lesson 3: Good and Bad Data Visualizations
Lesson 4: Infographics and Google Trends
Lesson 5: Cleaning Data
Lesson 6: Summary Tables
Lesson 7: Making Your Own Visualizations
Lesson 8: Obtaining Data
Lesson 9: Google Forms
Lesson 10: Creating A Data Story
Lesson 1: Introduction To Programming In Python
Lesson 2: Python Strings
Lesson 3: Python Conditionals
Lesson 4: Python Functions
Lesson 5: Python Lists, Dictionaries, Loops
Lesson 6: Python Data Files
Lesson 7: Python Data Cleaning
Optional: Practice With Python.