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AI For Science
Course Description
This course is designed to introduce artificial intelligence in the context of scientific application to high school students. The emphasis will be on the fundamentals of machine learning and how they can be applied to scientific study, and to prepare students for future success in science and engineering programs at college.
Topics will include the fundamentals defining artificial intelligence and its subfield of machine learning, with an emphasis on current methods and models and their use cases. Additional depth will be given to the area of deep learning, including the evolution of models and the mechanisms governing their training. Discussion of methods used to accelerate machine learning and experience using some of the latest tools will top off the first half of the course. The second half of the course will apply the lessons from the first half to display the applications of machine learning in the physical sciences, medicine, space exploration, and robotics. Key topics will include limitations guiding execution of AI tools in scientific study, ethical considerations, and the future of AI in science. Students should expect homework and projects to solidify and expand their lecture-based learning.
Qualifications
By the end of this course students will be able to:
- Understand the foundational principles of artificial intelligence.
- Explore the intersection of AI with various scientific disciplines.
- Recognize the potential and limitations of AI in scientific research and applications.
- Develop hands-on experience with simple AI tools and projects.
- Cultivate a critical mindset towards the ethical considerations and consequences of AI in science.
Course Information
When: Fall 2024
How Long: 6 Weeks, Twice Weekly, 90 minute Lectures
Where: Pennsylvania Biotechnology Center
For Who: High School Students
Evaluation: Homework, Quizzes, Course Project