About
Bio
Angie Beasley is an Assistant Professor of Instruction in the Computer Science department at The University of Texas at Austin, where she teaches both introductory programming and machine learning. She is passionate about getting others interested in and excited about computer science and believes that in today's digital world every student should be required to take at least one computer science class. Angie enjoys demystifying complex topics like machine learning and discussing the social impacts, both good and bad, of the increasing use of this technology.
Angie is a member of the Provost's Teaching Fellows and a College of Natural Sciences Teaching Excellence Award recipient.
Prior to teaching, Angie worked for 15 years as a software engineer on projects for the US Navy, including submarine and surface ship sonar systems, periscope systems, unmanned underwater vehicles, radar systems, and radio and satellite communication systems.
Angie received her MS in Computer Science with a concentration in machine learning from The George Washington University and her BS in Computer Science from The University of Texas at Austin.
Awards
Teaching Excellence Award, College of Natural Sciences, 2022
Clock Award, Services for Students with Disabilities, 2021
Fellowships
Provost's Teaching Fellows, 2023
Texas Mindset Initiative, 2021
Cultural Competence in Computing (3C) Fellows, 2020
Experiential Learning Initiative, 2019
Professional
Certificate in Effective College Instruction, Association of College and University Educators (ACUE), 2024
Performance Training Institute for Instructors, 2019
Student Org Advisor
Women In Computer Science (WiCS)
