Lectures related to Installation: GNU Octave 3.8.0

Installation: GNU Octave MOOC: MATLAB and Octave for Beginners

Covers the installation process of GNU Octave, a high-level interpreted language for numerical computations, and explains how to download and install Octave on various operating systems.

Singular Value Decomposition: Image Compression and Applications

Covers Singular Value Decomposition, focusing on its application in image compression and data representation.

Principal Component Analysis: Dimension Reduction

Covers Principal Component Analysis for dimension reduction in biological data, focusing on visualization and pattern identification.

Data Visualization: Principles and Practices

Explores data visualization principles, including chart navigation, histograms, scatter plots, box plots, and color usage.

Super-vision: Celebrating EPFL's Doctoral Theses History

Explores EPFL's doctoral theses history, data visualization, and the innovative D3 approach.

Visualizing Data: Techniques and Applications

Explores techniques and applications of data visualization, emphasizing the importance of effective communication and unconventional examples.

Introduction to Applied Data Analysis

Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.

Digital Urban History: QGIS Practical Session

Covers the practical use of QGIS for spatial data analysis and visualization, including georeferencing historical maps and manipulating vector data.

Eigenvalues and Optimization: Numerical Analysis Techniques

Discusses eigenvalues, their calculation methods, and their applications in optimization and numerical analysis.

Data Visualization: Principles and Techniques

Covers principles and techniques of data visualization, emphasizing storytelling, anomaly detection, and effective communication of results.

Data Science Essentials

Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.

Jupyter Notebooks for Numerical Analysis

Covers the transition to Python and Jupyter notebooks for Numerical Analysis at EPFL, including interactive exercises and graded tests.

Structuring exploratory spatial data analysis

Explores the structured approach to exploratory spatial data analysis, emphasizing the importance of analytical frameworks and the Visual Seeking Mantra.

Digital Humanities Workflow Log in to Mediaspace to watch this video

Explores the workflow in Digital Humanities, emphasizing data collection and visualization.

Nonlinear Equation Resolution: Introduction to Bisection Method Log in to Mediaspace to watch this video

Introduces the bisection method for resolving nonlinear equations using numerical techniques and Python programming.

Air Pollution Data Analysis Log in to Mediaspace to watch this video

Covers the analysis of air pollution data, focusing on R basics, visualizing time series, and creating summaries of pollutant concentrations.

Data Science Essentials: Pandas, Numpy, Matplotlib Log in to Mediaspace to watch this video

Introduces Pandas, Numpy, and Matplotlib for data analysis and visualization in Python.

Numerical Integration: Introduction to SciPy and Matplotlib Log in to Mediaspace to watch this video

Covers numerical integration techniques using SciPy and Matplotlib for visualizing functions and approximating integrals.

Introduction to NumPy: Basics of Scientific Computing Log in to Mediaspace to watch this video

Introduces NumPy, focusing on array creation, manipulation, and its advantages for scientific computing.

Data Visualization: Techniques, Tools & Concepts Log in to Mediaspace to watch this video

Covers data visualization techniques, tools, and concepts for effective data representation.