Education

Award / Title

Main Subjects

1. Introduction to Data Lakes
2. Historical Perspective
3. Introduction to Big Data and Data Science
4. From Data Ponds/Big Data Warehouses to Data Lakes
5. Optimizing for Self-Service
6. Architecting the Data Lake
7. Cataloging the Data Lake
8. Governing Data Access

Course Objectives

Develop skills in big data processing, including the clustering and modeling of structured and unstructured data, and the use of various software tools for large-scale data analysis.

Award / Title

Main Subjects

1. Creating a project in Blender, navigating within the software, grid settings and dimensions, translation (movement), scaling, and rotation
2. Outliner, Channel Box, and Layers
3. Polygonal modeling
4. Symmetry and Boolean operations, mesh smoothing and crease operations, mesh origin point, and pivot
5. Duplication, use of deformers for modeling, Curve Warp, and new modeling tools
6. Sculpting in Blender, retopology, and UV unwrapping
7. Basic Blender materials, textures, and their application
8. Fundamentals of lighting and rendering

Course Objectives

Students will gain foundational knowledge of graphical object manipulation tools, enabling them to apply these skills in information visualization and visual communication.