CS343H: Honors Artificial Intelligence -- Spring 2015: Assignments Page
#

## Week 1: Introduction (1/20,22)

**Readings: Due Thursday (email response due Wednesday at 8pm)**

*As a *__temporary__ solution for those who have not been able to procure a copy of the textbook please feel free to use one of the online copies of the book linked from the Piazza page in order to complete this week's reading.
It is important that you do not allow the availability issues with the textbook cause you to fall behind in the course.
**Programming: Due 9:30am on Tuesday, 1/20**

**Programming: Due 9:30am on Thursday, 1/29**

## Week 2: Search (1/27,29)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

**Readings: Due Thursday (email response due Wednesday at 8pm)**

**Programming: Due 9:30am on Thursday, 2/12**

## Week 3: Beyond Classical Search(2/3,2/5)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

## Week 4: Adversarial Search, Utilities (2/10,12)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

**Programming: Due 9:30am on Thursday, 2/26**

## Week 5: Markov Decision Processes (2/17,19)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

## Week 6: Reinforcement Learning (2/24,26)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

**Programming: Due 9:30am on Thursday, 3/26**

## Week 7: Bayes' Nets Representation (3/3,3/5)

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

## Week 8: Midterm (3/10,12)

Jump to the resources page.
**Review on Tuesday, In-class Mid-term on Thursday**

## Week 9: Bayes' Nets Inference (3/24,26):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

**Programming: Due 9:30am on Thursday, 4/16**

## Week 10: (Hidden) Markov Models (3/31,4/2):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

## Week 11: Particle Filters and VOI (4/7,9):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

Textbook Section 15.4 is optional (I recommend at least skimming it)
Textbook Chapter 15.5
Textbook Sections 16.5 and 16.6
Include in your response a solution to at least one exercise from
the end of each chapter.
Suggested exercises: 15.13, 16.5, 16.15.

## Week 12: Learning Probabilistic Models (4/14,16):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

Textbook Chapter 18 through the end of Section 18.2
Textbook Chapter 20 through the end of Section 20.2
The chapter refers frequently to Chapter 18. If you're not at
all familiar with machine learning terms, it may help you to
read parts of that chapter first (which will also save you
time when they are assigned next week). In particular:
The restaurant/wait-for-table example is introduced in Section
18.3.1 and Figure 18.2 (p. 698).
The concept of overfitting is introduced on p. 705.
i.i.d is defined on p. 708.
You can skim 20.2.3 if you're not comfortable with reasoning
about continuous distributions (e.g. Gaussians).
20.2.5 is just an overview without all the details - do your best.
Textbook Section 20.3 is optional.
Include in your response a solution to at least one exercise from
the end of chapter 20.
Suggested exercises: 20.1, 20.3, 20.8
**Programming: Due 9:30am on Thursday, 4/30**

classification assignment.
This assignment should be submitted with the assignment name `cs343-5-classification`

using these submission instructions. Details regarding what to submit are inside the assignment's description.

## Week 13: Supervised Learning (4/21,23):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

The following parts of Textbook Chapter 18:
Section 18.4
Skim Sections 18.3, 18.5.
Section 18.6 except Section 18.6.2
Section 18.7 through the end of 18.7.2.
Sections 18.6.2 and 18.7.3-18.7.5 are optional
Sections 18.8, 18.9, and 18.11.
Section 18.10 is optional.
Include in your response a solution to at least one exercise from
the end of the chapter.
Suggested exercises: 18.11, 18.19

## Week 14: Classical Planning (4/28,30):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

Textbook Chapter 10. (Focus on Sections 10-10.3)
Include in your response a solution to at least one exercise from
the end of the chapter.
Suggested exercises: 10.4, 10.7, 10.10

## Week 15: Philosophical Foundations (5/5,7):

Jump to the resources page.
**Readings: Due Tuesday (email response due Monday at 8pm)**

Textbook Chapters 26 and 27

## Final Exam (5/13):

**The final exam for this class will be on Wed., May 13th from
2-5pm in JGB 2.216.
**

[Back to Department Homepage]
*
Page maintained by
Peter Stone*

Questions? Send me
mail