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College Research Tracker
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College Research Tracker

College Research is messy, we make it simple. Enter where you want to go and what you want to do. Leave the rest to us

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Georgia Tech
Computer Science
UT Austin
Computer Science
Stanford
Applied Mathematics
Berkeley
English Literature
Harvard
Applied Mathematics
Yale
Physics
Dartmouth
Computer Science
Brown
Computer Science
Georgia Tech
Major
Computer Science
Minor
Applied Mathematics
Interests
Robotics, Entrepreneurship
Clubs
RoboJackets: A club focused on robotics projects and competitions. Members work on developing robots for various challenges and competitions.
Startup Exchange: A club focused on entrepreneurship and startup development. Members work on developing business ideas and connecting with potential investors.
Math Club: A club focused on exploring and discussing various topics in mathematics, including applied math. Members also participate in math competitions and events.
Association for Computing Machinery (ACM): A club focused on computer science and technology. Members participate in coding competitions and events, as well as networking with professionals in the field.
Women in Engineering (WIE): A club focused on promoting and supporting women in engineering fields, including computer science. Members participate in events and workshops aimed at professional development and networking.
Traditions
Freshman Cake Race: A 1.5-mile race where first-year students carry a cake.
Ramblin' Wreck Parade: A parade featuring the iconic 1930 Ford Model A Sports Coupe known as the Ramblin' Wreck.
Homecoming Week: A week of festivities, including a parade, pep rally, and football game, to celebrate alumni and the university.
Swarm Week: A week of events to welcome new students and introduce them to campus life.
Midnight Bud: A tradition where students gather at midnight to watch Bud Peterson, the former president of Georgia Tech, ring the Tech Tower bell.
Iconic Campus Spots
The Campanile
Tech Tower
Bobby Dodd Stadium
The Kessler Campanile
The Student Center Ballroom
Professors
Famous Professors at Georgia Tech teaching Computer Science:
Dr. Mark Guzdial: Known for his work in computing education research. He co-founded the ACM International Computing Education Research conference and was awarded the ACM SIGCSE Award for Lifetime Service to the Computer Science Education Community in 2019.
Dr. Ada Gavrilovska: Her research interests include cloud computing, distributed systems, and computer architecture. She is a recipient of the National Science Foundation CAREER award and the ACM SIGOPS Dennis M. Ritchie Award.
Professors at Georgia Tech teaching Applied Mathematics:
Dr. Hongkai Zhao: His research interests include computational biology, scientific computing, and applied mathematics. He is a fellow of the Society for Industrial and Applied Mathematics and the American Association for the Advancement of Science.
Dr. Edmond Chow: His research focuses on computational science and engineering, with applications in materials science, fluid dynamics, and neuroscience. He is a fellow of the Society for Industrial and Applied Mathematics and the American Physical Society.
Interesting Classes
CS 6475: Computational Photography - This class explores the intersection of computer science and photography, teaching students how to create algorithms for image processing and computer vision.
CS 4400: Introduction to Database Systems - This class covers the fundamentals of database design and implementation, including data modeling, SQL, and transaction management.
CS 4641: Machine Learning - This class delves into the theory and practice of machine learning, teaching students how to build and apply algorithms for data analysis and prediction.
CS 4911: Special Topics: Robotics Perception - This class focuses on the perception capabilities of robots, including computer vision, sensors, and algorithms for object recognition.
CS 4649: Robot Intelligence: Planning - This class teaches students how to build intelligent robots that can plan and reason about their environments.
MATH 4080: Applied Combinatorics - This class covers combinatorial techniques and their applications to problems in computer science, including graph theory, enumeration, and optimization.
MATH 3215: Linear Optimization - This class teaches students how to use linear algebra and optimization methods to solve problems in industry and research.
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