# Undergraduate Student Learning Outcomes

## Mathematics

- Students will understand and write complete proofs of mathematical theorems.
- Students will effectively communicate mathematical ideas.
- Students will demonstrate the ability to think critically about and reason through mathematical concepts.

## Applied Mathematics

- Students will understand and write complete proofs of mathematical theorems.
- Students will effectively communicate mathematical ideas.
- Students will demonstrate the ability to think critically about and reason through mathematical concepts.
- Students will be able to use mathematics to model real-world situations.

## Statistics

- Discuss statistical issues with researchers who may not be specialists in statistics.
- Formulate research problems from other fields in statistical terms.
- Choose appropriate statistical models and methods to analyze data.
- Communicate statistical ideas orally and in writing.

## Actuarial Science

- Be able to compute actuarial values used in industry.
- Be able to explain how computations of actuarial values are done.
- Be able to explain the meaning of the actuarial values.
- Be able to produce a spreadsheet with commentary describing the computations.

## Secondary Mathematics Education

- Be able to apply pedagogical and mathematics content knowledge to the creation of a unit of study for secondary mathematics.
- Be able to create appropriate pre- and post-test instruments and analyze the results to assess student learning.
- Be able to clearly and accurately present instruments used in analyzing student learning.
- Be able to align the assessment of the unit with the learning goals.
- Be able to interpret the results of the data collected to determine if students’ learning goals were met.
- Be able to articulate the evidence of the impact on student learning.

## Data Science

- Be able to show proficiency in programming, predictive modeling, and data visualization in large complex, real-world problems that relate to a range of industries (business, medicine, engineering, etc.);
- Be able to apply knowledge, principles and techniques of statistics and computer science to acquire, clean, and analyze data in project-oriented exercises;
- Be able to communicate effectively with project stakeholders during both the design and results stages of the project.