The curriculum provided below is the recommended and supported curriculum for the 2019/20 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.
Use the Course Manual for help navigating course resources.
Lesson 1: Introduction to Computing and Data Science
Lesson 2: Modeling and Simulation
Lesson 3: Agent Commands
Lesson 4: Programming Procedures
Lesson 5: Program Your Own Simulation
Lesson 1: Introduction to Graphic Design
Lesson 2: Introduction to Google Sites
Lesson 3: Introduction to Google Forms
Lesson 4: Introduction to Spreadsheets
Lesson 5: Creating a Workbook
Lesson 6: Advanced Spreadsheet Skills
Lesson 7: Good and Bad Data Visualizations
Lesson 8: Infographics and Google Trends
Lesson 9: Making Your Own Visualizations
Lesson 10: Cleaning Data
Lesson 11: Summary Tables
Lesson 12: Obtaining Data
Lesson 13: Google Forms
Lesson 14: 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
Lesson 8: Python Visualizations
Optional: Practice With Python.