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Courses covered

Next Steps in Computer Science

Next Steps in Computer Science

  • Binary Search
  • Brute-Force Search
  • Concurrency
  • Decision Trees
  • Graph Abstractions
  • Greedy Algorithms
  • Indexing
  • Interfaces
  • Parallelism
  • Programming
Programming with Python

Programming with Python

  • Codebreaking
  • Conditional Statements
  • Control Flow
  • Data Visualization
  • Functions
  • Loops
  • Maze Navigation
  • Python Syntax
  • Reading Code
  • Strings
  • Variables
  • Writing Code
Introduction to Neural Networks

Introduction to Neural Networks

  • Artificial Intelligence
  • Classification
  • Backpropagation
  • Logic Gates
  • Convolutional Networks
  • Gradient Descent
  • Computer Vision
  • Activation Functions
  • Universal Approximation
Computer Science Fundamentals

Computer Science Fundamentals

  • Algorithmic Thinking
  • Algorithmic Correctness
  • Pseudocode
  • Variables
  • Conditionals
  • Repetition
  • While loops
  • For loops
  • Binary search
  • Selection sort
  • Insertion sort
  • Stable matching
  • Algorithmic complexity

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All of our courses are crafted by award-winning teachers, researchers, and professionals from MIT, Caltech, Duke, Microsoft, Google, and more.

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Courses in Foundational Math

  • Solving Equations
  • Geometry
  • Mathematical Thinking
  • Geometric Thinking
  • Functions

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