Computer Science Minor (22 hours)
CMPSC 2200 Python Programming I (4 hours)
An introduction to computational problem-solving using Python. Hands-on labs are used to motivate basic programming concepts, including basic data types and structures, functions, conditionals, and loops. Additional topics may include building and scraping HTML webpages. The course is recommended for all who wish to explore data science and/or computer science. Recommended: Math ACT score of at least 21 or instructor permission of a prerequisite waiver.
(Normally offered every spring semester.)
Archway Curriculum: Foundational Literacies: Mathematical Problem Solving
CMPSC 3000 Data Structures (3 hours)
This course, built in collaboration with Google, will teach you how to understand and use data structures. Data structures are used by almost every program and application to store, access and modify the vast quantities of data that are needed by modern software. By the end of this course you'll learn what data structures are and learn how to use them in the applications you build. This online class has optional live sessions. This course is an online class offered through the Lower Cost Models Consortium. The class has optional live sessions. Prerequisite(s): CMPSC 3200 Python Programming II.
CMPSC 3200 Python Programming II (4 hours)
A project-based continuation of the techniques developed in CMPSC 2200 Python Programming I. Topics include object-oriented programming, algorithm design and analysis, data structures, and general problem-solving techniques (such as recursion) while following industry-standard software development principles. Prerequisite(s): Grade of "C" or better in CMPSC-2200 or instructor permission of a prerequisite waiver.
(Normally offered every fall semester.)
CMPSC 4000 Algorithms (3 hours)
This course explores algorithms from a coding-focused perspective, using Python. Students will learn about the issues that arise in the design of algorithms for solving computational problems and will explore a number of standard algorithm design paradigms and their applicability. Students will also become familiar with concepts of runtime, recursion, implementation and evaluation. This course features a heavy emphasis on practical application of algorithms to common development and engineering challenges. This course is an online class offered through the Lower Cost Models Consortium. The class has optional live sessions.
Prerequisite(s): CMPSC 3000 Data Structures and MATH 1600 Calculus I.
MATH 1600 Calculus I (5 hours)
An introduction to calculus of a single variable. Topics include limits, continuity, differentiation, and beginning integration with applications. Assignments are given that help build proficiency in the use of a computer algebra system.
Prerequisite(s): Math ACT score of at least 27, or a grade of "C" or better in MATH 1470 Trigonometry or MATH-1400, or permission of the instructor.
(Normally offered each semester.)
Archway Curriculum: Foundational Literacies: Mathematical Problem Solving
MATH 3200 Linear Algebra (3 hours)
A study of vector spaces, determinants, linear transformations, matrices, matrix equations, and their applications in the natural and social sciences.
Prerequisite(s): Grade of "C" or better in MATH 1610 Calculus II.
(Normally offered each spring semester.)