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Formal sciences
Theoretical computer science
Algorithms and data structures
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Related lectures (12)

C Backend: Compiler Structure and Abstract Data Types

Explores the structure of a C backend compiler and abstract data types.

Model Representation: Structures and Functions

Covers the representation of mathematical models, functions, and data structures in information systems.

Data Visualization: Techniques and Examples

Explores data visualization techniques using sports, historical events, and literature examples.

C Backend: Code Generation and ADTs

Explores the adaptation of wasm code generation for C, memory management, ADTs representation, and translation of expressions.

Abstract Data Structures in C++

Covers procedural and object-oriented programming, abstract data structures, templates, and the C++ standard library.

Abstract Data Structures and Standard Libraries

Covers abstract data structures and the C++ standard library, including linked lists, stacks, queues, and complex numbers.

C++ Standard Library: Containers and Algorithms

Covers the basics of C++ standard library containers, algorithms, and iterators.

Subdivision Approach

Explores the subdivision approach to manage multifunctionality in life cycle analysis.

Machine Learning Teaching Panorama

Explores the machine learning teaching panorama at EPFL, including course coordination, data collection initiatives, and ethics integration.

Python/NumPy Primer

Introduces Python basics and NumPy for scientific computing, covering data types, functions, arrays, indexing, and common operations.

Object-Oriented Programming: Core Features Analysis

Explores the core features of object-oriented programming, including dynamic dispatch, encapsulation, inheritance, and subtyping, using Java examples and practical insights.

Data Management: Overview

Introduces fundamental concepts of data management, including data models, databases, and key tasks.

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