Stanford Root

Schedule

Stanford Root

Schedule

MS&E 152

Introduction to Decision Analysis

UNITS:4
GRADING:Letter or Credit/No Credit
LEVEL:Undergrad
GER:WAY-AQR, WAY-FR

How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Prerequisites: high school algebra and basic spreadsheet skills.

Syllabus for selected term:
View Winter 2027 Syllabus

Sections

1 Term
Lecture 1Open
ID: 6180
0 / 68 enrolled
DAYS:Tuesday, Thursday
TIME:9 AM – 10:20 AM
LOCATION:TBD
INSTRUCTOR:
Shachter, Ross
4units

MS&E 152: Introduction to Decision Analysis

4 units · Letter or Credit/No Credit · GER: WAY-AQR, WAY-FR

How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Prerequisites: high school algebra and basic spreadsheet skills.

Offered in Winter 2027 at Stanford University.

Winter 2027 sections

  • Lecture — Tuesday Thursday 9:00 AM – 10:20 AM — Shachter, Ross (Undergrad)

More MS&E courses

  • MS&E 140: Accounting for Managers and Entrepreneurs (MS&E 240)
  • MS&E 141: Economic Analysis (MS&E 241)
  • MS&E 145: Introduction to Finance and Investment
  • MS&E 146: Corporate Financial Management (MS&E 249)
  • MS&E 148: Ethics of Finance
  • MS&E 149: Hedge Fund Management
  • MS&E 165: Introduction to Product Management
  • MS&E 176: Social Entrepreneurship
  • MS&E 178: Entrepreneurship: Principles & Perspectives
  • MS&E 180: Organizations: Theory and Management
  • MS&E 184: The Future of Work: What Will it Mean to Build AI-Augmented Organizations?
  • MS&E 203: Building and Evaluating AI Products

All MS&E courses · All departments