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Courses covered
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
Introduction to Neural Networks
- Artificial Intelligence
- Classification
- Backpropagation
- Logic Gates
- Convolutional Networks
- Gradient Descent
- Computer Vision
- Activation Functions
- Universal Approximation
Programming with Python
- Codebreaking
- Conditional Statements
- Control Flow
- Data Visualization
- Functions
- Loops
- Maze Navigation
- Python Syntax
- Reading Code
- Strings
- Variables
- Writing Code
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