Computer Programmer
Gain the knowledge, skills, and firsthand experience necessary to become a computer programmer with UWEC's computer programmer certificate.
Add a Sought-After Certificate to Your Resume
Courses throughout the certificate will introduce you to programming, computer software design, data types, procedural abstraction, digital logic, machine models, assembly language, flow control, object-oriented design, and so much more. Students gain the know-how they need to have a competitive edge in the workforce, including the ability to understand specific software and programs often found in the field.
The program is open to both students and working computer professionals already in the field.
Program Details
At UW-Eau Claire, our talented professors make it a priority to create an impactful learning environment where you come first. Small class sizes allow you to learn by doing, as well as form meaningful connections with other students who are just as passionate about technology and discovery as you.
While pursuing the computer programmer certificate, you'll have access to the tools and resources you need to thrive in your educational journey. Four state-of-the-art computer labs with equipment updated every two years ensure you are working with the most recent technology, giving you a leg up when applying for jobs.
Blugold Stories
Coursework within the computer programmer certificate will prepare you to use — and evaluate — a wide variety of modern tools and languages used in the construction of computing systems. Your first-hand experience with up-to-date technology in the classroom will translate directly into a fulfilling career in computer programming.
Here are a few courses in Computer Programmer at UW-Eau Claire.
DS 150
Computing in Python: Fundamentals and Procedural Programming
Computing in Python provides an introduction to the world of procedural programming in the Python computer language. Students will learn tactics and approaches for solving novel problems in the world of data science. Main tasks are the storage, retrieval, processing, and visualization of data. Examples will be drawn from bioinformatics, economics, and other fields.
CS 255
Data Structures and Algorithms
An in-depth study of fundamental data structures and algorithms, focusing on both theoretical foundations and practical applications.
DS 250
Data Structures and Algorithms in Bioinformatics
This course covers algorithmic and data structure techniques that underpin modern biological data analysis. Topics covered include clustering, string searching, tree traversal, maximum parsimony, maximum likelihood, hidden Markov models, and version tracking. Some of the biological applications will include sequence alignment and assembly, phylogeny, gene finding, and variation detection.
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