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Related lectures (56)
Python Crash Course
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Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Polynomials: Definitions and Operations
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Covers the definition and operations of polynomials, including addition and multiplication, degree, coefficients, and their role in algebraic systems.
Untitled
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Real Functions: Definitions and Properties
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Explores real functions, covering parity, periodicity, and polynomial functions.
Mathematics: Sets and Functions
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Introduces sets, functions, Cartesian products, and compositions, discussing images, preimages, and function properties.
Python Complement: Numpy, Scipy, Matplotlib
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Covers advanced Python topics like numpy operations, scipy linear algebra, and matplotlib for creating figures.
Python Object: Exercises and Syntax Basics
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Covers Python object exercises and basic syntax questions, including classes, dictionaries, file operations, and functions.
Python Basics: Syntax, Variables, Functions
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Covers Python basics such as syntax, variables, and functions, introducing the Renku platform for collaborative data science.
Entropy and the Second Law of Thermodynamics
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Covers entropy, its definition, and its implications in thermodynamics.
Equidistribution of CM Points
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Covers the joint equidistribution of CM points and explores convergence in multiple variables.
Matlab 2: Vectorisation and Functions
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Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.
Limits: More about Functions and Sequences
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Covers advanced topics related to limits and sequences.
Introduction to NumPy: Basics of Scientific Computing
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Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.
Comparison Series and Integrals
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Explores the relationship between series and integrals, highlighting convergence criteria and function examples.
Analysis I: Intermediate Value Theorem
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Covers the Intermediate Value Theorem, functions' properties, continuity, finding roots, and differentiation concepts.
Differentiability of Functions in Two Variables
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Covers differentiability of functions in two variables and the conditions for a function to be differentiable.
Advanced Analysis II: Functions in R²
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Explores functions in R² with sets where x² + y² ≤ 1.
Functions in R²: Definitions and Examples
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Introduces functions in R² with examples and graphical techniques, illustrated by Peter Wittwer.
Limits in Infinity: Criteria and Examples
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Covers the concept of limits at infinity and discusses criteria and examples of functions approaching infinity.
Advanced Analysis II: Differentiability and Continuity
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Explores differentiability and continuity in advanced analysis, emphasizing the importance of continuity and demonstrating key concepts.
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