Accelerated Research Practicum
Machine Learning: Theories and Applications
Faculty Advisor: Professor, School of Mathematics, Georgia Institute of Technology
What is Accelerated Research Practicum
Accelerated Research Practicum combines both recorded and live sessions with the Faculty Advisor and allows students to achieve tangible outcomes and potentially earn a letter of recommendation in a shorter period of time.
Practicum Introduction
Machine Learning is an interdisciplinary subject that is considered to be the core of Artificial Intelligence (AI). It is now being applied to numerous fields. In this program, students will learn core and advanced machine learning techniques and apply these techniques to a final project in which machine learning is used to solve problems. These problems can be from a variety of topic areas ranging from healthcare through fashion and biological categorization.
The faculty advisor will guide students on which topic they should choose for their final project. Students will have access to a combination of videos, notes, data sets, codes, and project topics that they can pursue for their final machine learning projects.
At the end of the program, each student will complete a concise 3-5 page research paper or proposal, and submit it to the faculty advisor for a final review.
Possible Topics For Final Project:
Using machine learning techniques to diagnose COVID with or without pneumonia using chest x-rays
Using machine learning techniques to evaluate fashion indicators
Using machine learning techniques to categorize animals
Or other topics in this subject area that you are interested in, and that your professor approves after discussing it with you.
Program Detail
Cohort Size: 2-5 students
Duration: 4 weeks
Target Students: 7-12th grade students who are interested in Machine Learning, Computer Science and/or Mathematics and wish to complete a research project with a prestigious professor rapidly to boost their research experience and obtain deliverables that can be used for college applications and other programs.
Program Structure
Week 1: Students and the faculty advisor will discuss in a live session the available project topics and agree on a set of goals for the project.
Week 1-3: Students will complete an extensive recorded video research program, including core videos that must be completed and optional advanced videos for students with higher aims.
Week 4: Students will complete their research project and submit for review. They will also have a second live session with their faculty advisor to ask questions, discuss their findings, and conclude their research experience very positively.