Theory of Probability

Probability spaces, distributions, expectation, and limit theorems. Math-first approach.

Introduction to Linear Algebra

Vectors, matrices, linear transformations, and eigenvalues. Essential for ML and data work.

Data Structures and Algorithms

Arrays, linked lists, trees, graphs, sorting algorithms, and Big-O complexity analysis.

Software Design and Engineering

Full software development lifecycle — OOP design patterns, team projects, testing, and a capstone deliverable.

Introduction to Women's Studies

Feminist theory, gender studies, and intersectionality. Solid humanities elective.

Discrete Mathematics

Logic, proofs, set theory, combinatorics, and graph theory — the math that underpins CS.

Microcomputers

Assembly language, microprocessor architecture, and the basics of embedded systems programming.

CS II for Majors

Data structures and OOP in C++ — stacks, queues, trees, and recursion.

General Physics with Calculus II

Electricity, magnetism, waves, and optics — physics II with calculus.

Applied Differential Equations I

First and second order ODEs, Laplace transforms, and systems of equations.

Calculus III

Multivariable calculus — partial derivatives, multiple integrals, and vector calculus.

Digital Logic

Binary, Boolean algebra, logic gates, and combinational and sequential circuit design.

Blount Scholars Program — Foundation II

Continuation of the Blount seminar sequence — same small-cohort format, building on the interdisciplinary themes from Foundation I.

General Physics with Calculus I

Mechanics and kinematics — Newton's laws with calculus backing them up.

Calculus II

Integration techniques, sequences, and series. Polar coordinates make an appearance too.

CS I for Majors

First real programming course. Python fundamentals, problem decomposition, and intro algorithms.

Blount Scholars Program — Foundation I

First seminar in the Blount Scholars Program, a selective four-year living and learning community at UA with small cohort classes and an interdisciplinary, humanities-focused curriculum.

Calculus I

Limits, derivatives, and integrals. The mathematical backbone of pretty much everything that follows.

Engineering Foundations

Engineering problem-solving, design process, and technical communication — the how-to-think-like-an-engineer course.

General Chemistry

Atomic structure, chemical bonding, stoichiometry, and intro thermodynamics.