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BUS 260 W — Making High-Quality Decisions: A Practical Guide to Decision Analysis

Quarter: Winter
Course Format: Flex Online (About Formats)
Duration: 8 weeks
Date(s): Jan 18—Mar 11
Refund Deadline: Jan 21
Unit: 1
Tuition: $615
Instructor(s): Richard Kim
Limit: 40
Class Recording Available: Yes
Status: Registration opens Nov 29, 8:30 am (PT)
 
DOWNLOAD THE SYLLABUS » (subject to change)
Winter
Flex Online(About Formats)
Date(s)
Jan 18—Mar 11
8 weeks
Refund Date
Jan 21
1 Unit
Fees
$615
Instructor(s):
Richard Kim
Limit
40
Recording
Yes
Registration opens Nov 29, 8:30 am (PT)
DOWNLOAD THE SYLLABUS » (subject to change)
Even the largest companies struggle with decision-making, often investing far too much on market research reports, marketing campaigns, or capital investments. Similarly, with personal decisions, we often find ourselves plagued with regret after purchasing an electronic device, an insurance policy, or perhaps even a home. Decision analysis is a field of engineering developed in the mid-20th century by mathematicians at Stanford and Harvard. It uses a mix of math, philosophy, and gut instinct to guide individuals and organizations toward making better decisions. This method has been used in many large organizations such as Chevron, Pfizer, and the US military. When Chevron mulls over, “Should we drill for oil here or not?” or when Pfizer asks, “Should we invest in an advertising campaign?” they employ techniques of decision analysis to guide their thinking.

This course will provide a step-by-step guide on how to use the wisdom of decision analysis to avoid the decision traps we commonly fall into. Students will learn mathematical and conceptual tools that, while relatively simple, are incredibly powerful. Topics we will explore include influence diagrams, decision trees, value measures and functions, statistical interference, and sensitivity analysis. This course can be useful to anyone interested in strengthening their ability to make decisions of consequence and works equally well in both business and personal applications.

Knowledge of basic math (algebra and probability) is required.

RICHARD KIM
Co-Founder and Senior Systems Engineer, Aerospace Technical Services

Richard Kim has over fifteen years of experience as a consultant and advisor to the US Air Force, US Space Force, and multiple energy system operators. He received a PhD in management science and engineering from Stanford.

Textbooks for this course:

There are no required textbooks; however, some fee-based online readings may be assigned.