Math has always been the language we use to explain the world. Computation is quickly becoming the language we use to change it. Why not learn both and be unstoppable? At the intersection of these two fields, scholars and professionals are doing things like writing new machine learning algorithms, improving our systems’ processing ability, and challenging our established technological paradigms. At Loyno, we’ll give you the tools you need to speak that language, to be an architect and an innovator, so that you can plan, create, deploy, analyze, and improve the systems on which the world runs—and make a career out of blowing our minds.

## Overview of Courses

In addition to our foundational mathematics core, you will also complete adjunct computation courses and a research project while choosing electives tailored to the programs that interest you. Here’s a sample of what you can expect to learn and do:

**Introduction to Programming I**

This course is an introduction to concepts and terminology in computer programming. Topics include interface builders and problem-solving techniques in various programming environments. Emphasis is placed on the basics of software design and on elementary applications to mathematics and other disciplines.**Introduction to Programming II**

This course is a continuation of Introduction to Programming I. Topics include object-oriented programming, software development, and data structures such as stacks, queues, trees, and lists and the further exploration of the applications of programming to mathematics and other disciplines.**Introduction to Algebra**

This course introduces topics in matrix algebra for applications that are basic to future coursework in mathematics. Topics include vector spaces, determinants, matrices, linear transformations, and eigenvectors.**Introduction to Differential Equations**

This course examines the fundamental methods of solving elementary differential equations. Topics include exact solutions, series solutions, numerical solutions, and solutions using Laplace transforms.

## Curriculum

**Required Courses: **

- MATH A200 Intro Linear Algebra
- MATH A258 Calculus II
- MATH A259 Calculus III
- MATH A271 Applied Scientific Computing
- MATH A310 Intro Differential Equations
- MATH A340 Math Probability
- MATH A341 Statistics Theory & Methods
- MATH A375 Computational Mathematics
- MATH A410 Advanced Calculus I
- MATH A498 Research Project
- COSC A211 Intro to Programming I
- COSC A212 Intro to Programming II
- PHYS A102/A104 Electromagnetism & Relativity + Lab

**Plus two math electives: ** MATH A300-A400 level.

## Mathematics Course Information

Find out more about the Bachelor of Science in Computational Mathematics: