Compute branch probabilities with bayes theorem


Problem: Computer Base

Part I

Based on the course design, and learning objectives. Share your comments, concerns, frustrations, and highlights.

i. Did the course meet your expectations? Yes

ii. How was the workload? The work overload was perfect.

iii. Do you feel you will apply some of the concepts learned in the course (if so, which ones) Yes in time.

Part II

Based on your Module topics, what did you find new and interesting? And what appeared to be a review? Also, identify at least one discussion post you found interesting, helpful, or beneficial (and why).

• Topics covered in this module

i. Problem formulation
ii. Decision analysis without probabilities
iii. Decision analysis with probabilities
iv. Decision analysis with sample information
v. Computing branch probabilities with Bayes' Theorem
vi. Utility theory

• Learning Objectives

By the end of this module, students should be able to:

i. Explain payoff tables and decision trees
ii. Identify different approaches: optimistic, conservative and minimax regret
iii. Discuss sensitivity and risk analysis
iv. Identify decision strategy
v. Compute branch probabilities with Bayes' Theorem
vi. Explain utility theory.

The response should include a reference list. Using one-inch margins, Times New Roman 12 pnt font, double-space and APA style of writing and citations.

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Computer Engineering: Compute branch probabilities with bayes theorem
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