AI Research
Explore data-driven research by formulating questions, building predictive models, and analyzing real-world datasets. Designed for grades 11-12, this program offers hands-on experience, expert mentorship, and networking opportunities with industry professionals.
PROGRAM HIGHLIGHTS
- Hands-on Experience: Gain practical insights into data-driven research with machine learning and AI.
- Research Skills: Formulate research questions, and collect, collate, and analyze publicly available datasets.
- Expert Mentorship: Receive guidance from seasoned researchers in academia and industry.
- Networking Opportunities: Engage with guest speakers and professionals from academia and industry.
PROGRAM STRUCTURE
- Duration: 7 weeks
- Expected time commitment: About 15 hours per week.
- Format: All sessions are conducted live online via Zoom, ongoing grad student TA support live and via Slack.
- Content: Foundational AI/ML concepts, illustrative case studies of AI/ML in the field, guest speaker interactions, hands-on empirical research working in groups of 3.
REQUIREMENTS
- High school Junior/Senior having taken Statistics and Math (Pre-calculus)
- Prior programming experience (demonstrated via a certificate of completion)
- Experience with data analysis (demonstrated via a presentation)
SCHEDULE & FEES
- June 23 to Aug 08 (7 weeks)
- Fee: $1000
Curriculum Overview
Monday - Friday | |
Week 1 | Literature review and research question formulation. |
Week 2 - 3 | Data Collection, cleaning, exploratory data analysis; Guest speaker. |
Week 4 - 5 | Modeling with ML (Decision Tree, Random Forest); Guest speaker. |
Week 6 | Parameter tuning, finalizing analyses; Guest speaker. |
Week 7 | Prepare report and presentation; Guest speaker. |
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