05: Modularisierung von Programmen: Funktionen: Arbeiten mit Funktionen, Flussdiagramm

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What you'll learn

A 85-minute video from KIT Lehre und Wissen: “05: Modularisierung von Programmen: Funktionen: Arbeiten mit Funktionen, Flussdiagramm”.

Programming & CS

Video by KIT Lehre und Wissen, played through YouTube's embedded player.

1:26:45

Grundlagen der Informatik II - Sitzung 4 (Prof. Schmeck - AIFB - WS 2016/17)KIT Lehre und WissenProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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Grundlagen der Informatik II - Sitzung 4 (Prof. Schmeck - AIFB - WS 2016/17)

KIT Lehre und Wissen

A 87-minute video from KIT Lehre und Wissen: “Grundlagen der Informatik II - Sitzung 4 (Prof. Schmeck - AIFB - WS 2016/17)”.

1:28:21

21UB+VL: Übung zu Entwurfsmustern und Fortsetzung Parallelität in Java Bis zu 4K

KIT Lehre und Wissen

A 88-minute video from KIT Lehre und Wissen: “21UB+VL: Übung zu Entwurfsmustern und Fortsetzung Parallelität in Java Bis zu 4K”.

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3Blue1Brown

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Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

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How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

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Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

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Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.