Week 10:
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Topic: Probabilistic Reasoning & Probabilistic Reasoning Over Time

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Objectives:

• Describe and use Bayes' Rule, Conditional Independence, and Probability for Uncertain Reasoning
• Describe and use Probabilistic Inference
• Describe and use Probabilistic Reasoning over Time

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1. Complete the "4. Probabilistic Inference" and "11. HMMs and Filters" units in the Introduction to Artificial Intelligence course from Udacity:
   1. Sign In to Udacity
   2. Select Introduction to Artificial Intelligence from the Course Catalog
   3. Press the "Take the Class" button
   4. Watch the videos and take the quizzes in the "4. Probabilistic Inference" unit.
   5. Watch the videos and take the quizzes in the "11. HMMs and Filters" unit.
   
   Alternatively, download the following ZIP files containing Flash Video files:
   • 4. Probabilistic Inference
   • 11. HMMs and Filters
   
   
2. Read the following pages from Artificial Intelligence: A Modern Approach, Third Edition (cited as AIMA):
   • Required: 81 Pages
     

     Order	Topic	Book	Section	Page Numbers	Pages	Presentations
     1.	Probabilistic Reasoning	AIMA	Chapter 14:	Page 510-552	(43 Pages)	Bayesian Networks, Inference in Bayesian Networks, and Generative Models
     2.	Probabilistic Reasoning Over Time	AIMA	Chapter 15:	Page 566-603	(38 Pages)	Temporal Probability Models

     
     
   Reference: University of California, Berkeley's CS 188: Introduction to Artificial Intelligence (Fall 2005) by Stuart Russell
   Reference: Stanford University's CS221: Artificial Intelligence: Principles and Techniques (Autumn 2012-2013) by Percy Liang
   
   
3. Do Assignment 08.