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EPFL Computer Science Overview
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Related lectures (24)
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Introduction to Algorithms
Introduces the importance of studying algorithms, presents a clever algorithm for calculating an arithmetic series, and discusses efficiency and correctness in algorithms.
Data-Driven Insights: NLP and AI Applications
Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.
Calcul and Algorithms: What is an Algorithm?
Covers the basics of algorithms in computer science, including their formalization and complexity.
Introduction to Algorithms: Course Overview and Basics
Introduces the CS-250 Algorithms course, covering its structure, objectives, and key topics in algorithmic problem-solving.
Engineering the Future: Systems for Health, Security, Energy
Covers the engineering of systems for health, security, energy, and the environment.
Algorithms in Computer Science: Search and Sort Techniques
Provides an overview of essential search and sort algorithms in computer science.
Veridical Data Science: Responsible, Reliable, Reproducible
By Prof. Bin Yu explores veridical data science, emphasizing responsible, reliable, and reproducible data analysis and decision-making.
Linear Equations and Matrices
Explores linear equations, matrices, and the Gauss-Jordan algorithm for efficient system solving.
Entropy and Algorithms: Applications in Sorting and Weighing
Covers the application of entropy in algorithms, focusing on sorting and decision-making strategies.
History and Definition of Computer Science
Explains the basic concepts of computer science and their interaction.
