Machine learning is an essential component in today's decision making systems. In this training module, students will be introduced to the basic principles of machine learning, how machine learning is used in real-world applications, and their vulnerabilities. Finally, students will learn how to train a simple machine learning model using the Python programming language.
This learning module is developed for the 2020 StepCon High School STEM Conference, hosted by the Bourns College of Engineering (BCOE) and Center for Environmental Research and Technology (CE-CERT) at UCR.
The training videos and slides are available online at https://www.cert.ucr.edu/stepcon20-learning-modules
Winter 2020: Undergraduate research breakout session at the UCR Society of Women Engineers (SWE) Research Networking Night
We organize a research breakout session at the UCR SWE Research Networking Night, to discuss the current research projects and undergraduate research opportunities in our lab.
Summer 2021: Summer Research Opportunity Program
Our lab participates in the Summer Research Opportunity Program at Chaffey College, facilitated by a U.S. Department of Education Title III HSI STEM & Articulation Project, to increase the number of underrepresented students attaining AA/AS degrees in STEM and/or ready to transfer to four-year institutions to study in STEM fields.
AI and machine learning are increasingly being deployed in applications that affect our everyday lives, such as recommendation systems, navigation, or virtual assistants. Towards bringing AI and machine learning education into K-12 classes, we will organize a machine learning seminar at the 2021 STEP Educators Conference.
This seminar will introduce the basic principles of machine learning to STEM educators, its capabilities and how it is being used in everyday applications. We will also discuss the associated challenges in security and privacy, and its societal impacts, with a particular emphasis on its impact on underrepresented communities. Finally, we will explore how students can get involved in machine learning and AI, through sample projects and activities.