ML at Denison University

The map

Intro tiers at the top, advanced work below; arrows point from a prerequisite to the course it unlocks. Courses from other departments appear where they gate ML work. Click any course to see what it requires and unlocks without leaving this page; hovering lights up its neighbors. The lists on this page carry the same courses in text form.

Tracks

Upper-level clusters, grouped by the gateway that opens them.

The longest ladders

The deepest prerequisite chains in ML. These are the routes that take the most semesters to climb.

• 6 courses deep, ending at ML 400

  1. CS 105Introduction to Computer Science (4 Credit Hours)
  2. CS 145Introduction to Algorithm Design (4 Credit Hours)
  3. MATH 221Applied Probability (4 Credit Hours)
  4. ML 222Applied Probability Seminar (1 Credit Hour)
  5. MATH 428Intermediate Machine Learning (4 Credit Hours)
  6. ML 400Advanced Machine Learning (4 Credit Hours)

• 4 courses deep, ending at ML 240

  1. CS 105Introduction to Computer Science (4 Credit Hours)
  2. CS 145Introduction to Algorithm Design (4 Credit Hours)
  3. CS 231Foundations of Concrete Structures (4 Credit Hours)

Grade medians

Professors

No section schedule with instructor names for ML yet.

Clubs & organizations

No clubs or organizations on record under ML yet.

Clubs students here join

Department events

ML does not run a page here yet. When it does, its events show up here and on the Denison campus feed.