CS 109 - Quantitative Reasoning Using Python

Description:
Students explore quantitative and statistical processes by implementing the popular programming language Python. Course will be offered every year (Fall, Winter, Spring, Summer).

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Apply correct procedures from Python’s data visualization libraries to present data in formats including, but not limited to, graphs, histograms, bar charts and tables. They will evaluate these mathematical forms to formulate meaningful conclusions.
Apply correct procedures from Python’s data visualization and statistics libraries.
Evaluate the outcome of procedures from Python’s statistics libraries.
Apply correct procedures from Python’s libraries for data analysis and predictive modeling.
Analyze datasets using Python’s statistics library and assess the validity of statistical hypotheses regarding these datasets.
Apply knowledge of Python’s data types and mathematical operators by properly implementing mathematical calculations within a program and comprehending why they work.

Learner Outcomes Approval Date:
11/16/17

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