Lectures related to Gnomonic projection

True Sizes: Plan Projection Folding, Descriptive Geometry

Explores descriptive geometry principles, including points, lines, planes, and applications to shadow problems using software like GeoGebra.

Geometric Descriptive: Straight Lines and Line Projections

Explores straight lines, line purity, and line projections in geometric descriptive.

Conic Sections & Gnomonics

Explores the historical use of conic sections and gnomonics in ancient sundials and astronomical instruments.

Projection Planes: Traces and Angles

Explores projection planes, angles, and traces in geometric descriptive, emphasizing perpendicularity and parallelism in planes.

Celestial Geometry: Orientation of the Polar Axis

Explores the historical development of celestial geometry and its impact on climate variations and astronomical observations.

Descriptive Geometry: Concepts and Exercises

Covers fundamental concepts and exercises in Descriptive Geometry, focusing on spatial problem-solving techniques and relative line positions.

Affinity and Ellipses in Descriptive Geometry

Explores affinity in geometry, segment construction, ellipses, and circle projections.

True Magnitude of Segments: Ellipses and Affinities

Explores the construction of ellipses and affinities to determine true sizes of segments in descriptive geometry.

Perspective: Definitions and Image Construction

Introduces perspective definitions and image construction methods in descriptive geometry, emphasizing radial projection principles and image construction on planes.

Introduction to GeoGebra: Quadrants and Bisector Planes

Covers the definition of section ratio and quadrants division in space.

Shadows and Projections: Geometric Descriptive

Covers shadow projection of objects on different planes and how to determine if a face is illuminated or shaded.

PCA and Kernel PCA

Explains how PCA eliminates dimensions by finding principal components with most variation and compares PCA with Kernel PCA.

Descriptive Geometry

Introduces Descriptive Geometry concepts, including conservation laws and projection methods.

Linear Dimensionality Reduction: PCA and LDA

Explores PCA and LDA for linear dimensionality reduction in data, emphasizing clustering and class separation techniques.