CS343H: Honors Artificial Intelligence -- Spring 2015: Assignments Page
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## Week 0: Introduction (8/31)

**Readings: Due 9:30 am on Thursday, 8/31 (****i.e. BEFORE THE FIRST CLASS SESSION**)

**Programming: Due 9:30am on Tuesday, 9/5**

**Programming: Due 9:30am on Thursday, 9/7**

## Week 1: Agents (9/5,7)

**Readings: Due Tuesday (email response due Monday at 5pm)**

**Self-introduction: Due Tuesday at 9:30am**

**EdX Homework 1: Due 11:59pm on Tuesday, 9/19**

## Week 2: Search (9/12,14)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**Programming: Due 9:30am on Thursday, 9/28**

## Week 3: Constraint Satisfaction Problems and Local Search (9/19,21)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 2: Due 11:59pm on Tuesday, 9/26**

## Week 4: Adversarial Search, Utilities (9/26,28)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 3: Due 11:59pm on Tuesday, 10/3**

**Programming: Due 9:30am on Thursday, 10/12**

## Week 5: Markov Decision Processes (10/3,5)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 4: Due 11:59pm on Tuesday, 10/10**

## Week 6: Reinforcement Learning (10/10,12)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 5: Due 11:59pm on Tuesday, 10/17**

**Programming: Due 9:30am on Thursday, 11/2**

## Week 7: Bayes' Nets: Representation and Inference (10/17,19)

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 6: Due 11:59pm on Tuesday, 10/31**

## Week 8: Midterm (10/24,26)

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**Review on Tuesday, In-class Mid-term on Thursday**

## Week 9: (Hidden) Markov Models, Particle Filters, and VOI (10/31,11/2):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 7: Due 11:59pm on Tuesday, 11/7**

**Programming: Due 9:30am on Thursday, 11/9**

**Programming: Due 9:30am on Tuesday, 12/5**

## Week 10: Naive Bayes and Perceptrons (11/7,9):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

**EdX Homework 8: Due 11:59pm on Tuesday, 11/14**

Complete the Naive Bayes and Perceptron assignment on EdX (Homework 8).
**Programming: Due 9:30am on Tuesday, 11/21**

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

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

## Week 11: Deep Learning (11/14,16):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

Textbook Section 18.6.4
Textbook Section 18.7
Watch the Berkeley course Deep Learning I lecture, starting at minute 27
Watch the Berkeley course Deep Learning II lecture (parts of minutes 5-15 are review from the first lecture)
Respond to the readings and videos by email.
**EdX Homework 9: Due 11:59pm on Tuesday, 11/28**

Complete the Neural networks and Optimization assignment on EdX (Homework 9).

## Week 12: SVMs, Kernels, and Clustering (11/21):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

Sections 18.8, 18.9, and 18.11.
Section 18.10 is optional.
Respond to the readings by email.
**Programming: Due 9:30am on Thursday, 12/7**

Classification assignment.
This assignment should be submitted with the assignment name `cs343-6-classification`

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

## Week 13: Classical Planning (11/28,30):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

Textbook Chapter 10. (Focus on Sections 10-10.3)
Respond to the readings by email.

## Week 14: Philosophical Foundations (12/5,7):

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**Readings: Due Tuesday (email response due Monday at 5pm)**

Textbook Chapters 26 and 27
Respond to the readings by email. Please include in your response if/how your
thoughts about any of the questions considered in the chapters have
changed since before you took the course.

## Final Exam: December 18th from 2-5pm

**The final exam for this class will be on December 18th from 2-5pm**.

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