CS 109 - Data Science for Social Good

1. Create a computational artifact using computing tools and techniques to solve a problem.
2. Collaborate in the creation of computational artifacts or when writing a program.
3. Develop an abstraction when writing a program or creating computational artifacts.
4. Manage, clean, summarize and visualize simple data sets relating to social issues.
5. Extract information from data to explain connections or trends in social issues using statistical inference and/or the use of simulation-based inference methods.
6. Find patterns and test hypotheses about digitally processed information to gain insight and knowledge on issues of equity and the impacts of socioeconomic inequities.
7. Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language to build a case for advocacy for social change and justice.

1. Use appropriate reasoning to evaluate problems, make decisions, and formulate solutions.
2. Give reasons for conclusions, assumptions, beliefs, and hypotheses.
3. Evaluate and interpret quantitative and symbolic reasoning information/data.
4. Implement calculator/computer technology to solve problems.

• Quantitative and Symbolic Reasoning - Quantitative Reasoning encompasses abilities necessary for a student to become literate in today’s technological world. Quantitative reasoning begins with basic skills and extends to problem solving.