Dive into the fascinating world of genetics, genomics, and artificial intelligence with our comprehensive course designed for students with a basic understanding of Python and machine learning algorithms. This course will take you through the intricate processes of molecular biology, bioinformatics, and advanced AI techniques, culminating in hands-on projects and presentations.
For middle schoolers and high schoolers
Pre-requisite: A basic understanding of Python and machine learning algorithms
Learn Artificial Intelligence - a new technology that is shaping our world!
Artificial Intelligence (AI) is how Google search, Alexa, Siri, auto-correct, speech translation, face recognition, self-driving cars, etc. learn from data and humans. Get your student an edge in school, competitions and preparation for college and careers by learning AI!
Why this course?
This course offers a unique blend of biology and artificial intelligence, making it perfect for students interested in the intersection of these fields. You'll gain practical knowledge in cutting-edge technologies and tools that are shaping the future of science and technology. AIClub in partnership with LifeCodes Academy offers a unique blend of expertise in bioinformatics and artificial intelligence.
We offer:
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Expert Instructors: Learn from professionals with extensive experience in genomics and AI.
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Practical Learning: Engage in hands-on exercises and real-world applications.
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Comprehensive Curriculum: Cover a wide range of topics from molecular biology to AI.
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Project-Based: Develop and present a project that demonstrates your understanding and skills.
Description
Key Topics and Activities:
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Genetics and Genomics Foundations: Introduction to genetics and genomics, hands-on DNA extraction, PCR, and case study on the BRCA gene.
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Bioinformatics Essentials: Overview of bioinformatics, tools and pipelines, and hands-on practice with NGS dataset analysis and gene annotation.
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Advanced Genomics and Ethics: RNA-Seq introduction, practical exercises, additional genomics applications, and a discussion on bioethics.
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Introduction to AI and Machine Learning: Basics of AI, types of AI (classification and regression), feature engineering, and practical AI exercises.
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Integrating AI with Genomics: Applying AI to DNA species identification, and a final project presentation integrating AI and genomics.
What students take away
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A good understanding of genomics and AI.
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Hands-On Experience: Work with real-world datasets and advanced tools.
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One year access to an online cloud account where they can continue to build new projects and learn more AI
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Opportunities to compete and win in AI competitions. For more information on this, visit our Research Program.
Schedule
Duration: 5 sessions / 3 hours per session
We offer a range of dates and times to accommodate busy schedules.
Since we use entirely online tools, if a student must miss a class, it is easy for them to do the required work at home. We provide materials for missed classes and drop in times for students to come in for personal assistance on material covered in a missed class. We do ask however that the student attend the first and last class since this is needed for them to get oriented and also complete their custom project.
Important Notice: The class schedules listed here are fixed. Session rescheduling is not possible in the event of student absence, even if the class has only one student. Thank you for your understanding.