EAS at University of Pennsylvania

A suggested order for the 21 courses on the map, built from prerequisite chains and how often each course has run in fall and spring across the last 12 regular terms. It is not the department’s plan, and it is not a promise a course will run. Confirm against the department’s own advising material.

Gateway courses

Each of these unlocks the largest share of downstream work on this map. Courses from other departments can appear here when they genuinely gate EAS coursework.

• EAS 5450Engineering Entrepreneurship Iopens 3 courses (3 directly)
• IPD 5450Engineering Entrepreneurship Iopens 3 courses (1 directly)
• CIT 5940Data Structures and Software Designopens 1 course (1 directly)
• ESE 5410Machine Learning for Data Scienceopens 1 course (0.5 directly)

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 EAS 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.

Showing the 21 EAS and feeder courses that have prerequisite links. 86 more EAS courses have no recorded prerequisites. They are listed under Tracks below, not drawn as loose dots here.

Tracks

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

The longest ladders

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

• 4 courses deep, ending at EAS 5460

  1. IPD 5450Engineering Entrepreneurship I
  2. EAS 5450Engineering Entrepreneurship I
  3. EAS 5460Engineering Entrepreneurship II

• 3 courses deep, ending at EAS 5860

  1. CIT 5910Introduction to Software Development
  2. CIT 5940Data Structures and Software Design
  3. EAS 5860Medical Image Analysis

• 2 courses deep, ending at EAS 4020

  1. EAS 5020Renewable Energy and Its Impacts: Technology, Environment, Economics, Sustainability
  2. EAS 4020Renewable Energy and Its Impacts: Technology, Environment, Economics, Sustainability

• 2 courses deep, ending at EAS 5170

  1. EAS 5160Mathematical Foundations for Machine Learning I: Probability
  2. EAS 5170Mathematical Foundations for Machine Learning II: Linear Algebra

Grade medians

Professors

No section schedule with instructor names for EAS yet.

Clubs & organizations

No clubs or organizations on record under EAS yet.

Clubs students here join

Department events

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