CS3600 Summer 2017 - Revision history

Dave: /* 2017 Summer Schedule */

2017-05-24T20:04:00Z

2017 Summer Schedule

Dave at 21:00, 19 May 2017

2017-05-19T21:00:21Z

Dave: /* 2017 Summer Schedule */

2017-05-10T23:45:32Z

2017 Summer Schedule

Dave: Initial Summer CS 3600 schedule

2017-05-10T23:36:06Z

Initial Summer CS 3600 schedule

New page

==Overview==

You are on the page for information specific to the Summer 2017 session of this course. Go here [[Undergrad_Intro_AI_Course]] for overall course policies and information.

==Assignments and Grading==

===Projects (50%)===

There will be four equally-weighted projects in the class, covering search algorithms, constraint satisfaction problems, bayesian networks, and machine learning algorithms (decision trees and/or neural networks).

===Exams (50%)===

There is a midterm exam (20%) and a final exam (30%).

===Extra Credit===

The projects have ''significant'' extra credit built in. If you wish to maximize your grade, this is the place to do it. Requests for extra credit opportunities or free points at the end of the semester will be referred to this statement.

==Thresholds==

As mentioned on the main page, final course grades are '''not''' rounded up. While I understand the frustration of having your 89.9% become a B, you should understand that an 89.9% will typically place you in the '''bottom 30%''' of this class.

==2017 Summer Schedule==

{|! Week !! Topic !! Due
|------||------||-------
|- 1 || Intro to AI, Agents, Environments
|- 2 || Problem Solving, Search || Project 0
|- 3 || Informed Search, Constraint Satisfaction Problems
|- 4 || CSP, Logic || Project 1
|- 5 || Reasoning with Uncertainty, Probability
|- 6 || Bayes Nets, Dynamic Bayes Nets || Project 2
|- 7 || Intro Machine Learning, Decision Trees
|- 8 || Local Search, Optimization || Project 3
|- 9 || Neural Networks
|- 10 || Decision Making, Markov Decision Processes || Project 4
|}

@@ Line 40: / Line 40: @@
 |2 || Problem Solving, Search || Project 0
 |-
-|3 || Informed Search, Constraint Satisfaction Problems ||
+|3 || Informed Search, Constraint Satisfaction Problems || Project 1
 |-
-|4 || CSP, Logic || Project 1
+|4 || CSP, Logic ||
 |-
-|5 || Reasoning with Uncertainty, Probability ||
+|5 || Reasoning with Uncertainty, Probability ||Project 2
 |-
-|6 || Bayes Nets, Dynamic Bayes Nets || Project 2
+|6 || Bayes Nets, Dynamic Bayes Nets ||  Midterm
 |-
-|7 || Intro Machine Learning, Decision Trees ||
+|7 || Intro Machine Learning, Decision Trees ||Project 3
 |-
-|8 || Local Search, Optimization || Project 3
+|8 || Local Search, Optimization ||
 |-
-|9 || Neural Networks ||
+|9 || Neural Networks || Project 4
 |-
-|10 || Decision Making, Markov Decision Processes || Project 4
+|10 || Decision Making, Markov Decision Processes ||
 |}

← Older revision		Revision as of 21:00, 19 May 2017
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	You are on the page for information specific to the Summer 2017 session of this course. Go here [[Undergrad_Intro_AI_Course]] for overall course policies and information.		You are on the page for information specific to the Summer 2017 session of this course. Go here [[Undergrad_Intro_AI_Course]] for overall course policies and information.
		+
		+	==Office Hours==
		+
		+	Dave: <B>TTH 4:25-5:30, Klaus 1447</B>. There is no class after us in our classroom, so I will simply stay there for up to an hour after every class, for as long as someone wants to talk to me!

	==Assignments and Grading==		==Assignments and Grading==

@@ Line 23: / Line 23: @@
 ==2017 Summer Schedule==
-{|! Week !! Topic !! Due
+This schedule is tentative and subject to change due to the compressed summer timeline.  I am not certain exactly how quickly we will progress through the material.
-|------||------||-------
-|- 1 || Intro to AI, Agents, Environments
+The '''midterm''' will be given in week 6 or 7 (after Bayes Nets) depending on our progress.  I will nail it down early in the class.
 |- 2 || Problem Solving, Search || Project 0
-|- 3 || Informed Search, Constraint Satisfaction Problems
+The '''final''' will be given according to the Registrar's schedule for final exams.
 |- 4 || CSP, Logic || Project 1
-|- 5 || Reasoning with Uncertainty, Probability
+{| class="wikitable"
-|- 6 || Bayes Nets, Dynamic Bayes Nets || Project 2
+! Week !! Topic !! Due
-|- 7 || Intro Machine Learning, Decision Trees
+|-
-|- 8 || Local Search, Optimization || Project 3
+|1 || Intro to AI, Agents, Environments ||
-|- 9 || Neural Networks
+|-
-|- 10 || Decision Making, Markov Decision Processes || Project 4
+|2 || Problem Solving, Search || Project 0
 |}