CS 108 - Data Science Foundations

Credits: 5
Hands-on introduction to data science for everyone, no previous experience is required. Students learn how to collect, compute, analyze, and visualize data to better understand the world we live in.

Enrollment Requirement: Eligible for MATH 97 or higher; and eligible for ENGL& 101; or instructor consent.

Course Outcomes:
Students who successfully complete this class will be able to:

Create a computational artifact using computing tools and techniques to solve a problem.
Collaborate in the creation of computational artifacts or when writing a program.
Develop an abstraction when writing a program or creating computational artifacts.
Find patterns and test hypotheses about digitally processed information to gain insight and knowledge.
Explain the insight and knowledge gained from digitally processed data by using appropriate visualizations, notations, and precise language.
Summarize information from data to explain patterns or trends using descriptive statistics.
Manage, clean, summarize and visualize simple data sets.

Program Outcomes

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

College-wide Outcomes

Responsibility - Responsibility encompasses those behaviors and dispositions necessary for students to be effective members of a community. This outcome is designed to help students recognize the value of a commitment to those responsibilities which will enable them to work successfully individually and with others.
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.