Jun 13, 2024  
ARCHIVED 2022-23 Undergraduate Catalog 
ARCHIVED 2022-23 Undergraduate Catalog [ARCHIVED CATALOG]

Mathematics and Data Analytics

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Associate Professor Hart
Associate Professor Jennings-Herzog
Associate Professor of Practice Vertin
Associate Professor Watts

Associate Professor Williams
Assistant Professor Fairbanks

The Mathematics and Data Analytics department provides students with a rigorous, balanced curriculum designed to develop their critical-thinking skills and deepen and broaden their understanding of both applications and theoretical aspects of the discipline. Students majoring in mathematics are sought by business and industry because of their problem-solving skills and ability to think clearly and logically. Some students combine the mathematics major with a second major, often one which applies mathematics. Our graduates enter careers in teaching (all levels, elementary through college), research, engineering, actuarial science, and a wide variety of positions in business, government, and industry. Many pursue advanced study in education, mathematics, engineering, computer science, the natural and social sciences, statistics, or other fields.

Student Learning Outcomes

As a result of completing the Mathematics & Data Analytics program, students will be able to:

  1. Demonstrate persistence while working on problems that they find difficult
  2. Communicate mathematical arguments and results clearly by choosing the appropriate representation for the intended audience and purpose.
  3. Develop solutions to open-ended problems by making conjectures and gathering evidence that supports or refutes these conjectures.
  4. Use the basic techniques of mathematical proof to write clear, concise and logically correct proofs.
  5. Use appropriate technology to enhance their mathematical thinking and understanding.
  6. Demonstrate the ability to think logically and critically while solving mathematical problems.
  7. Read and learn mathematics independently.
  8. Demonstrate a personal appreciation for the beauty of mathematics.



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