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Georgia Tech is a world-class public research university in Atlanta, GA, with a focus on STEM education & research. It offers a culture of collaboration, innovation, & leadership to its 24K+ students.
Learn the fundamentals of computing in Python, including variables, operators, and writing and debugging your own programs.
This course is an introduction to learning and applying the principles required to solve engineering mechanics problems. Concepts will be applied in this course from previous courses you have taken in basic math and physics.
Learn about recursion, search and sort algorithms, and object-oriented programming in Python.
Explore stress and strain in solid objects, focusing on axial loading. Learn methods to predict engineering structure responses and analyze failure modes in various loading scenarios.
Learn about control structures, one of the most powerful parts of programming. This course covers conditionals, loops, functions, and error handling, specifically in Python but with broader applicability to other languages as well.
Analyze real-world engineering structures using static equilibrium principles. Master advanced concepts like multi-force systems, trusses, shear forces, and friction for practical problem-solving in engineering mechanics.
Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.
Learn dynamics of particles and rigid bodies in 2D motion, covering kinematics, kinetics, work-energy principle, impulse-momentum, and conservation laws for engineering systems and structures.
Master fundamental data structures and algorithms, including ArrayLists, LinkedLists, Stacks, and Queues. Develop skills in time complexity analysis, recursion, and implementation of abstract data types in Java.
Explore advanced 3D motion dynamics for engineering systems, covering kinematics, kinetics, angular velocity, Eulerian angles, and rigid body motion equations. Gain expertise in analyzing complex mechanical movements.
Explore thin-walled pressure vessels and torsion in engineering structures. Learn analysis and design techniques for cylindrical shafts, inelastic torsion, and statically indeterminate members.
Implement machine learning based strategies to make trading decisions using real-world data.
This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification.
This is an advanced Computer Networking course that delves into the latest concepts and tools used by the CN industry.
In this course, we will see all the advances that have led to the state-of-the-art operating system that we know today, covering variety of platforms -- cell phones, multi-core, parallel systems, distributed systems, and cloud computing.
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