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Learning Paths - Coming Soon
The routes, quizzes and progress tracking are built, but most of the series they thread together are still being written. This module opens once enough of that content is live. Back soon.

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Status: In Development
Planning phase completed
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./learning-paths

The Mathematics Under Computer Science

From what a set really is to the geometry of linear maps.

Rolling out

# Build the mathematical footing the algorithms and ML tracks assume: rigorous sets and logic, the full linear-algebra arc, and a first real taste of topology.

Just CuriousDeep DiveMath21 posts1 demos3h 7m core · 4h 37m full5/16 live
0/16 core steps done0%
Start path

# a suggested order, not a lock: jump anywhere, checkpoints track what you finish

  1. Sets and Topology4 posts · 45 min

    Sets, logic and quantifiers, relations and functions, the algebra of sets: the grammar every proof is written in.

    1. What a Set Really Is: From Counting to the Foundations of MathematicsWant to Learn11 min scheduled
    2. Logic and Quantifiers: The Machinery That Makes Sets SpeakWant to Learn11 min scheduled
    3. Relations and Functions: The Architecture of Mathematical StructureWant to Learn12 min scheduled
    4. The Algebra of Sets: Operations, Laws, and Boolean StructureWant to Learn11 min scheduled
  2. start here
    Linear Algebra11 posts · 2h 17m 1 self-checks

    The full linear-algebra arc, from vector spaces to the spectral theorem, closed by a synthesis post.

    1. Eigenvalues and Eigenvectors: The DNA of Linear TransformationsDeep Dive13 min scheduled
    2. Inner Product Spaces: Bringing Geometry into AlgebraDeep Dive12 min scheduled
    3. The Spectral Theorem: Symmetry, Structure, and OrthogonalityExpert14 min scheduled
    4. Orthogonal and Unitary Operators: The Geometry of Pure MotionExpert13 min scheduled
    5. Polar and Normal Operators: Decomposing Motion and MagnitudeExpert13 min scheduled
    6. A Complete Guide to Finite-Dimensional Linear Spaces: Linking the SeriesDeep Dive15 min scheduledquiz
  3. Linear Algebra CapstoneDeep Dive5 minquiz

    Checkpoint: rank-nullity, eigenstructure, the spectral theorem and the SVD, in one adversarially checked quiz.

  4. Linear Algebra10 mindemo
    optional

    Visualize transformations and eigenvectors as you read.

  5. Sets and Topology6 posts · 1h 15m 1 self-checks optional

    Topology proper: open sets, continuity, connectedness, compactness, metric spaces, and building new spaces.

    1. What Is a Topology? Open Sets and the Shape of SpaceDeep Dive13 min scheduled
    2. Continuity and Homeomorphism: When Two Spaces Are the SameDeep Dive12 min scheduled
    3. Connectedness and Compactness: The Two Great Topological PropertiesDeep Dive13 min scheduled
    4. Metric Spaces: Where Distance Meets TopologyDeep Dive12 min scheduled
    5. Bases and Subbases: Building a Topology from BlocksDeep Dive12 min scheduled
    6. Building New Spaces: Products, Quotients, and Function SpacesExpert13 min scheduledquiz
  6. Sets and Topology CapstoneExpert5 minquiz
    optional

    Optional capstone on sets and topology: Cantor, quantifier logic, the open-set axioms, continuity and compactness.

  7. You have the math footing for the algorithms and ML tracks