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Computer Science Mentorships

1-on-1 learning and original research projects customized around students' interests

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Students interested in studying or building algorithms and data structures, computer and network design, modeling data and information processes, or artificial intelligence are a good fit for a mentorship in computer science. Students build their foundational knowledge of mathematics and engineering, and learn techniques from areas such as queueing theory, probability and statistics, or electronic circuit design. Students completing a mentorship in computer science practice hypothesis testing and experimentation during the conceptualization, design, measurement, and refinement of new algorithms, information structures, and computer architectures.


Computer Science

projects

Tested quantum entanglement hypothesis using IBM Quantum processors

Policy brief on social learning from digital misinformation

A fail-safe mechanism for automated flight created using fault-injection method.

Python program to train a machine learning-based computer vision model to diagnose lung opacities in photographs of chest X-rays

Calculated radiation dosage and fraction of solar particles shielded by Earth’s magnetic field as a function of particle momentum

A proposal for adaptive synthesis of a recently discovered class of molecules

Phone app that uses principles of emotional intelligence to help teenagers achieve more positive emotional states, impacting both their well-being and academic performance

A computer model of the transit light curve of exoplanet WASP-18b created through Python