Residential Price: $4,998 USD (+ supplemental fees)
Extended Commuter Price: $3,398 USD (+ supplemental fees)
Commuter Price: $2,798 USD (+ supplemental fees)
Late June: June 27-July 9, 2021
Los Angeles, CA
Do you wonder what it’s like to develop software for a living? Do you possess a natural curiosity towards computer technology and platform development?
The advent of smart infrastructures, wearable devices and Internet of Things (IoT) has enabled platforms through which large volumes of data can be easily captured and transferred over networks with no or minimum interaction from humans. As data scientists and engineers we need to be able to tweak data to be amenable to various techniques and sciences such as Artificial Intelligence, Machine Learning, etc. In this course, we will try to learn basic ideas behind data science, machine learning, statistics and AI. We will work on methods and techniques that are essential in most data driven projects.
Excursions at UCLA – include startups and other technology companies in Los Angeles.
Topics you'll explore
Every individual can nowadays produce data in ways that was hard to imagine only a decade ago. Harnessing this data can help scientists and engineers achieve astonishing breakthroughs from building autonomous cars to developing personalized healthcare. However, capturing and collating data by itself cannot be useful unless we learn how to understand them, interpret them and how to extract patterns, often implicit, from them. Students will gain hands-on learning experiences with data science, machine learning, and AI in this two week summer computer science program.
This module will dive deeper into newsworthy advances in technology and give high school students a first-hand look at related questions and issues. We will discuss the wide variety of professions within the field of technology such as UX / UI design, programming, project management, and quality assurance. You'll get a deeper sense of your unique motivations and aptitudes and how that aligns with potential academic and career choices. This helps students make better informed decisions about some of life’s most important choices.