This course covers topics in computer science such as self-aware networks, random neural networks, cloud computing, cybersecurity, neural networks, cloud computing applications, coding literacy, internet history, internet structure, internet resilience, deep learning, feedforward neural networks, long short-term memory, Gödel Machine, and Speed Prior. The course aims to teach students about the latest advancements and practical applications in computer science. The teaching method includes lectures by experts in the field. This course is intended for individuals interested in expanding their knowledge of computer science and staying updated on technological trends.
Overview
Syllabus
Self-aware Networks — Erol Gelenbe / Serious Science.
Random Neural Networks — Erol Gelenbe / Serious Science.
Cloud Computing — Erol Gelenbe / Serious Science.
Cybersecurity — Erol Gelenbe / Serious Science.
Neural Networks – Erol Gelenbe / Serious Science.
Cloud Сomputing – José Luis Vázquez-Poletti.
Martian Сomputing Сlouds — José Luis Vázquez-Poletti.
Practical Applications of Cloud Computing -José Luis Vázquez-Poletti.
Coding as the New Literacy - Mitchel Resnick.
History of Predicting Internet Future - David Clark.
Structure and Character of the Internet - David Clark.
Resilience and Reliability of the Internet - David Clark.
Deep Learning — Jürgen Schmidhuber / Serious Science.
Deep Feedforward Neural Networks — Jürgen Schmidhuber / Serious Science.
Long Short-Term Memory — Jürgen Schmidhuber / Serious Science.
Gödel Machine — Jürgen Schmidhuber / Serious Science.
Speed Prior — Jürgen Schmidhuber / Serious Science.
Taught by
Serious Science
