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Academy for All

Computer Science
Engineering
Leadership

University of Texas at Austin Department of Computer Science

Austin, TX1 week

Academy for All is a free, week-long residential summer program hosted by the University of Texas at Austin's Department of Computer Science for students entering grades 11 and 12. Students choose between two tracks: a Standard Edition focused on Arduino microcontrollers and C++, or a Machine Learning Edition centered on Python programming and machine learning concepts. Throughout the week, participants work on hands-on coding projects, attend workshops led by UT faculty and industry professionals, and experience life as a college student on the UT campus. It is an excellent opportunity for aspiring computer scientists to build technical skills, explore a top-tier university, and connect with like-minded peers, all at no cost.

Visit cs.utexas.edu

Skills You'll Build

Programming

Writing code to build software, automate tasks, or bring an idea to life on a screen.

Machine Learning

Training computer models to recognize patterns and make predictions from data.

Project Management

Planning tasks, timelines, and resources to get a project done on schedule.

Team Leadership

Guiding a group toward a shared goal and keeping everyone moving together.

Problem Solving

Breaking down a challenge and working through it methodically to a solution.

Related Careers

Software Engineer

Students write code in C++ and Python to build real projects like Arduino microcontroller programs.

Machine Learning Engineer

Machine Learning Edition teaches students to train and implement machine learning models using Python.

Robotics Engineer

Standard Edition includes hands-on Arduino microcontroller programming for LED display projects.

Data Scientist

Machine Learning Edition covers understanding data, implementing ML concepts, and systems concepts.

Quick Facts

Grade Levels
11th - 12th
Format
In-Person
Time Commitment
Full-time, 1 week
Competitiveness
Open Enrollment
Best For
Aspiring computer scientists

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