Stanford Root

Schedule

Stanford Root

Schedule

CS 7

Personal Finance for Engineers

UNITS:1
GRADING:Satisfactory/No Credit
LEVEL:Undergrad
GER:—

Introduction to the fundamentals and analysis specifically needed by engineers to make informed and intelligent financial decisions. Course will focus on actual industry-based financial information from technology companies and realistic financial issues. Topics include: behavioral finance, budgeting, debt, compensation, stock options, investing and real estate. No prior finance or economics experience required.

Syllabus for selected term:
View Autumn 2026 Syllabus

Sections

1 Term
Seminar 1Open
ID: 2032
0 / 250 enrolled
DAYS:Tuesday
TIME:4:30 PM – 5:50 PM
LOCATION:STLC 111
INSTRUCTOR:
Nash, Adam
1unit

CS 7: Personal Finance for Engineers

1 units · Satisfactory/No Credit

Introduction to the fundamentals and analysis specifically needed by engineers to make informed and intelligent financial decisions. Course will focus on actual industry-based financial information from technology companies and realistic financial issues. Topics include: behavioral finance, budgeting, debt, compensation, stock options, investing and real estate. No prior finance or economics experience required.

Offered in Autumn 2026 at Stanford University.

Autumn 2026 sections

  • Seminar — Tuesday 4:30 PM – 5:50 PM — STLC 111 — Nash, Adam (Undergrad)

More CS courses

  • CS 1U: Practical Unix
  • CS 10N: Computer Play: An Unconventional Introduction to CS and EE
  • CS 11SI: How to Make VR: Introduction to Virtual Reality Design and Development
  • CS 21SI: AI for Social Good
  • CS 22A: The Social & Economic Impact of Artificial Intelligence (INTLPOL 200, SYMSYS 122)
  • CS 24: Minds and Machines (LINGUIST 35, PHIL 99, PSYCH 35, SYMSYS 1, SYMSYS 200)
  • CS 25: Transformers United V6 (SYMSYS 25)
  • CS 25N: Big Ideas in Cryptography
  • CS 31N: Counterfactuals: The Science of What Ifs?
  • CS 33: AI Changes Everything: Intentions & Consequences
  • CS 40: Cloud Infrastructure and Scalable Application Deployment
  • CS 41: Hap.py Code: The Python Programming Language

All CS courses · All departments