Concept

Graphic arts

Related lectures (18)

Linear Algebra: Matrices and Linear Applications

Covers matrices, linear applications, vector spaces, and bijective functions.

Limites en un point: définition et exemples

Covers the definition and examples of limits at a point in calculus.

Translations and Homotheties

Covers translations, homotheties, and geometric transformations using vectors and matrices.

Vector Spaces: Operations and Linear Transformations

Explores vector space operations, linear transformations, matrix representation, and linear applications.

InDesign Poster Creation

Covers advanced techniques for creating a poster in InDesign.

Illustrator Tree Design

Explores editing text, object selection, effects, and color modes in Adobe Illustrator.

Map Creation and Formatting

Covers cartography wrapping, composing documents, and exporting maps in various formats.

Cartographic Design and Printing in QGIS

Explores cartographic design and printing in QGIS, covering map composition, legend editing, and map export.

The Ecublens Moraine: 3D Graphic Model

Showcases a 3D graphic model of the Ecublens moraine, with students creating individual graphical representations based on assigned zones.

Analytical Design: Graphic Communication

Explores the use of aesthetics, visual metaphors, readability, and data integrity in creating effective visual representations.

Multimedia Production Training

Explores experiences with a multimedia production training program and the skills gained.

Linear Algebra: Canonical Basis

Explores the canonical basis in linear algebra, focusing on matrix representation, diagonalizability, and characteristic polynomials.

Vectors: Definitions and Operations

Introduces vector definitions, displacement, addition, and applications in geometry.

Illustrator Image Preparation

Covers the preparation of a bitmap image in Photoshop for integration into a vector board in Illustrator.

Data Analysis: KMnO4 Concentrations

Covers the analysis of KMnO4 concentrations using data from a CSV file.

Reducing an Application

Covers the reduction of an application, finding reduced forms of matrices, diagonalizability, and polynomial roots.

Linear Algebra: Diagonalization

Explores the diagonalization of matrices and the conditions for exact diagonalization, with examples demonstrating the process.

Vectors: Fundamentals

Covers the basic concepts related to vectors, including their definition, operations, and properties, as well as applications through examples and the Varignon's theorem.