Education
CS246: Mining Massive Data Sets
Stanford · 2025
A big-data course deck with RGB-coded title type on black covers — Mining Massive Data Sets spelled out in red, green, and blue — over standard white teaching slides.
Design System
Color Palette
Black
#000000
Cover backgrounds
Data Red
#E53935
Title letter coding
Data Green
#43A047
Title letter coding
Data Blue
#1E88E5
Title letter coding
White
#FFFFFF
Content backgrounds / text
Typography
- Headings
- Bold sans with per-word RGB color coding on covers; similar to Lato
- Body
- Regular sans with algorithm pseudocode blocks
- Notes
- The MMDS letter-coloring is the course's signature quirk.
Visual Style
Big-dataColor-codedAlgorithmicCourse-branded
Layout
Black cover with color-coded title stack and seal; white content slides with MapReduce diagrams and worked examples.
Imagery
Cluster diagrams, shard maps, and data-flow schematics.
Charts & Data
Scaling curves and complexity tables in the three coding hues.
Frequently Asked Questions
- What colors does Stanford use in its presentations?
- Stanford's Stanford Lecture Series (2025) uses a 5-color palette: Black (#000000) for cover backgrounds, Data Red (#E53935) for title letter coding, Data Green (#43A047) for title letter coding, Data Blue (#1E88E5) for title letter coding, White (#FFFFFF) for content backgrounds / text.
- What fonts does Stanford use in its slides?
- Headings: Bold sans with per-word RGB color coding on covers; similar to Lato. Body: Regular sans with algorithm pseudocode blocks.
- What is the presentation design style of Stanford?
- The deck's visual style is big-data, color-coded, algorithmic, course-branded. Black cover with color-coded title stack and seal; white content slides with MapReduce diagrams and worked examples.
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