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History and Definition of Computer Science
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Related lectures (33)
Control of Speed
MOOC: The Thymio robot as a tool for discovering digital science
Covers event planning, sequential programming, and the decision-making process when programming a robot.
Strings in C: Initialization and Memory Management
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Covers the representation and management of strings in C, highlighting key differences from other programming languages.
Language Theory into Practice
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Explores the practical application of language theory, including quicksort, gradual typing, and efficient memory management, as well as the challenges of reduction program synthesis.
Variables and Types: Introduction to C Programming
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Introduces the fundamentals of variables and types in C programming, covering declaration, initialization, and the differences from Java.
Pointers in C: Understanding Their Utility and Applications
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Covers the definition and applications of pointers in C programming, emphasizing their role in memory management and generic programming.
Memory Safety and Client/Server Architecture: Key Concepts
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Covers memory safety principles and the client/server architecture in system design.
Variables & Operators
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Covers the basics of C programming, including variables, operators, and system-oriented programming, emphasizing differences from Java.
Effective Altruism: AI Safety and Governance
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Covers effective altruism in AI safety, focusing on programming semantics and memory management.
Dynamic Memory Management: Using Realloc in C
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Explains dynamic memory allocation in C, focusing on the realloc function and its implications for managing memory effectively.
MATLAB: Crash Course in MATLAB
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Offers a crash course in MATLAB, covering data representation, array indexing, mathematical operations, and common pitfalls.
Operators and Expressions: Programming in C
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Explains operators and expressions in C, focusing on arithmetic, comparison, and logical operations.
Python Programming: Lists and Functions Overview
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Introduces Python programming concepts, focusing on lists, functions, and their applications in problem-solving.
Differential Privacy: Privacy Guarantees and Mechanisms
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Covers differential privacy, global noise sensitivity, Laplace Mechanism, and privacy-accuracy tradeoff in algorithm design.
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