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January 18, 2017, at 01:19 PM by Tony - Remove CS 769
Changed line 11 from:
The sub-areas and the primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing ('''CS 769'''), and Advanced Bioinformatics ('''CS 776'''). 
to:
The sub-areas and the primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), and Advanced Bioinformatics ('''CS 776'''). 
Changed lines 13-14 from:
!!!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
!!!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, and CS 776'''.
Changed lines 18-19 from:
# %red%'''Two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
to:
# %red%'''Two'''%black% questions each from %blue%'''CS 761, CS 766, and CS 776'''%black%.
Changed line 22 from:
* %red%'''{+Both+} questions from a single additional class (CS 761, CS 766, CS 769, or CS 776).'''
to:
* %red%'''{+Both+} questions from a single additional class (CS 761, CS 766, or CS 776).'''
January 16, 2017, at 11:20 AM by Tony - Remove CS 841
Deleted lines 23-24:

%black%'''We expect to add CS 841 (Computational Cognitive Science) in a forthcoming semester.'''
May 17, 2012, at 02:13 PM by 128.104.134.206 - Minor grammatical edit
Changed line 23 from:
!!!!%black% {+That is, the latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
!!!!%black% {+That is, the latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize.+}
Changed line 12 from:
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer '''CS 731'''. 
to:
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Note that staff shortages may make it impossible for the Department to regularly offer '''CS 731'''. 
Changed line 11 from:
The sub-areas and the primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing (CS 769), and Advanced Bioinformatics ('''CS 776'''). 
to:
The sub-areas and the primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing ('''CS 769'''), and Advanced Bioinformatics ('''CS 776'''). 
Changed lines 12-13 from:
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer '''CS 731'''. When it is offered in a
semester appropriate for their course scheduling, graduate students should take '''CS 731''' ''instead'' of '''CS 540'''.
to:
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer '''CS 731'''. 
Changed line 23 from:
!!!!%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
!!!!%black% {+That is, the latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed lines 26-27 from:
%blue%'''We expect to add CS 841 (Computational Cognitive Science) in a forthcoming semester.'''
to:
%black%'''We expect to add CS 841 (Computational Cognitive Science) in a forthcoming semester.'''
Changed line 30 from:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
to:
%black%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
Changed line 14 from:
!!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
!!!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Changed line 24 from:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
!!!!%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed lines 18-19 from:
# %red%'''two''' %black%mandatory questions from %blue%'''CS 760'''%black%, and
# %red%'''two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
to:
# %red%'''Two''' %black%mandatory questions from %blue%'''CS 760'''%black%, and
# %red%'''Two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
Changed lines 17-18 from:
%black%The AI qualifying exam is designed to test for both a {+general breadth knowledge of AI+} ''and'' a {+deeper specialized knowledge of one particular sub-area within AI+}.  Specifically, the exam will consist of %red%'''two''' %black%mandatory
questions from %blue%'''CS 760'''%black%, and %red%'''two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
to:
%black%The AI qualifying exam is designed to test for both a {+general breadth knowledge of AI+} ''and'' a {+deeper specialized knowledge of one particular sub-area within AI+}.  Specifically, the exam will consist of
# %red%'''two''' %black%mandatory questions from %blue%'''CS 760'''%black%, and
# %red%'''two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
Changed lines 17-18 from:
%black%The AI qualifying exam is designed to test for both a general breadth knowledge of AI and a deeper specialized knowledge of one particular
sub-area within AI.  Specifically, the exam will consist of %red%'''two''' %black%mandatory
to:
%black%The AI qualifying exam is designed to test for both a {+general breadth knowledge of AI+} ''and'' a {+deeper specialized knowledge of one particular sub-area within AI+}.  Specifically, the exam will consist of %red%'''two''' %black%mandatory
Changed line 14 from:
!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
!!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Added line 16:
-----
Changed line 14 from:
!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
!!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Changed lines 14-15 from:
%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
!!!%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Changed line 22 from:
%black% !!!{+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed line 22 from:
%black% !{+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
%black% !!!{+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed line 22 from:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
to:
%black% !{+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed line 20 from:
* %red%'''Two questions from CS 760'''%black%, and
to:
* %red%'''{+Two+} questions from CS 760'''%black%, and
Changed lines 20-21 from:
* %red%'''two questions from CS 760'''%black%, and
* %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776).'''
to:
* %red%'''Two questions from CS 760'''%black%, and
* %red%'''{+Both+} questions from a single additional class (CS 761, CS 766, CS 769, or CS 776).'''
Changed lines 7-9 from:
The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
survey courses of the field, '''CS 760''' and '''CS 731'''; and a series of 700-level courses each covering one sub-area of the field. The sub-areas and the
primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing (CS 769), and Advanced Bioinformatics ('''CS 776'''). 
to:
The Department's standard course offerings in Artificial Intelligence include
#
a senior-level survey of the field, '''CS 540''';
#
two graduate-level survey courses of the field, '''CS 760''' and '''CS 731'''; and
#
a series of 700-level courses each covering one sub-area of the field.
The sub-areas and the primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing (CS 769), and Advanced Bioinformatics ('''CS 776'''). 
Changed line 20 from:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.}
to:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.+}
Changed lines 20-21 from:
%black% The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
the student is intended to specialize in.
to:
%black% {+The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which the student is intended to specialize in.}
Changed line 14 from:
-->%black%The AI qualifying exam is designed to test for both a general breadth knowledge of AI and a deeper specialized knowledge of one particular
to:
%black%The AI qualifying exam is designed to test for both a general breadth knowledge of AI and a deeper specialized knowledge of one particular
Changed lines 14-15 from:
-->%black%The AI qualifying exam is designed to test for both a general breadth
knowledge of AI and a deeper specialized knowledge of one particular
to:
-->%black%The AI qualifying exam is designed to test for both a general breadth knowledge of AI and a deeper specialized knowledge of one particular
Changed line 14 from:
%black%-->The AI qualifying exam is designed to test for both a general breadth
to:
-->%black%The AI qualifying exam is designed to test for both a general breadth
Changed line 28 from:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
to:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
Changed line 14 from:
%black%->The AI qualifying exam is designed to test for both a general breadth
to:
%black%-->The AI qualifying exam is designed to test for both a general breadth
Changed line 7 from:
-->The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
to:
The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
Changed line 14 from:
%black%The AI qualifying exam is designed to test for both a general breadth
to:
%black%->The AI qualifying exam is designed to test for both a general breadth
Changed line 7 from:
The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
to:
-->The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
Changed lines 20-21 from:
* %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776)'''
%black%. The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
to:
* %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776).'''
%black% The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
Changed lines 19-21 from:
%red%'''two questions from CS 760'''%black%, and %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
to:
* %red%'''two questions from CS 760'''%black%, and
* %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776)'''
%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
Changed line 17 from:
questions from %blue%'''CS 760'''%black%, and %red%'''two'''%black% questions each from %blue%'''761, 766, 769''', and '''776'''%black%.
to:
questions from %blue%'''CS 760'''%black%, and %red%'''two'''%black% questions each from %blue%'''CS 761, CS 766, CS 769''', and '''CS 776'''%black%.
Changed line 19 from:
%red%'''two questions from 760'''%black%, and %red%'''both questions from a single additional class (761, 766, 769, or 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
to:
%red%'''two questions from CS 760'''%black%, and %red%'''both questions from a single additional class (CS 761, CS 766, CS 769, or CS 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
Changed line 12 from:
%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in '''CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
to:
%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in CS 540 (or CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Changed lines 9-10 from:
primary courses covering them are Advanced Machine Learning (CS 761), Computer Vision (CS 766), Natural Language Processing (CS 769), and Advanced Bioinformatics (CS776).
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer CS 731. When it is offered in a
to:
primary courses covering them are Advanced Machine Learning ('''CS 761'''), Computer Vision ('''CS 766'''), Natural Language Processing (CS 769), and Advanced Bioinformatics ('''CS 776'''). 
Each
of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer '''CS 731'''. When it is offered in a
Changed lines 7-19 from:
The Department's standard course offerings in Artificial Intelligence
include a senior-level survey of the field, CS 540; two graduate-level
survey courses of the field, CS 760 and CS 731; and a series of 700-level
courses each covering one sub-area of the field. The sub-areas and the
primary courses covering them are Advanced Machine Learning (CS 761),
Computer Vision (CS 766), Natural Language Processing (CS 769), and
Advanced Bioinformatics (CS776).  Each of these courses has CS 540, CS
760, CS 576, or CS 731 as a prerequisite. Staff shortages may make it impossible
for the Department to regularly offer CS 731. When it is offered in a
semester appropriate for their course scheduling, graduate students should
take CS 731 ''instead'' of 540. %blue%'''Students will be prepared for the Ph.D.
qualifying exam in AI if they have mastered the material presented in CS
540 (or 731), CS 760, and in one of
CS 761, 766, 769, and 776.
to:
The Department's standard course offerings in Artificial Intelligence include a senior-level survey of the field, '''CS 540'''; two graduate-level
survey courses of the field, '''CS 760''' and '''CS 731'''; and a series of 700-level courses each covering one sub-area of the field. The sub-areas and the
primary courses covering them are Advanced Machine Learning (CS 761), Computer Vision (CS 766), Natural Language Processing (CS 769), and Advanced Bioinformatics (CS776). 
Each of these courses has '''CS 540, CS 760, CS 576, or CS 731''' as a prerequisite. Staff shortages may make it impossible for the Department to regularly offer CS 731. When it is offered in a
semester appropriate for their course scheduling, graduate students should take '''CS 731''' ''instead'' of '''CS 540'''.
%blue%'''Students will be prepared for the Ph.D. qualifying exam in AI if they have mastered the material presented in '''CS 540 (or
CS 731), CS 760, and in one of CS 761, CS 766, CS 769, and CS 776'''.
Changed line 24 from:
questions from '''CS 760''', and %red%'''two'''%black% questions each from '''761, 766, 769''', and '''776'''.
to:
questions from %blue%'''CS 760'''%black%, and %red%'''two'''%black% questions each from %blue%'''761, 766, 769''', and '''776'''%black%.
Changed line 24 from:
questions from '''CS 760''', and %red%'''two''' questions each from '''761, 766, 769''', and '''776'''.
to:
questions from '''CS 760''', and %red%'''two'''%black% questions each from '''761, 766, 769''', and '''776'''.
Changed lines 26-27 from:
%red%'''two questions from 760'''%black%, and %red%'''both questions from a single additional class
(761, 766, 769, or 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
to:
%red%'''two questions from 760'''%black%, and %red%'''both questions from a single additional class (761, 766, 769, or 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
Changed line 17 from:
take CS 731 /instead/ of 540. Students will be prepared for the Ph.D.
to:
take CS 731 ''instead'' of 540. %blue%'''Students will be prepared for the Ph.D.
Changed line 21 from:
The AI qualifying exam is designed to test for both a general breadth
to:
%black%The AI qualifying exam is designed to test for both a general breadth
Changed lines 23-28 from:
sub-area within AI.  Specifically, the exam will consist of two mandatory
questions from CS 760, and two questions each from 761, 766, 769, and 776.
 To pass the examination, students will have to answer satisfactorily the
two questions from 760, and both questions from a single other course
(761, 766, 769, or 776).  The latter two questions cannot be from
different courses.  The latter two questions correspond to the sub-area in which
to:
sub-area within AI.  Specifically, the exam will consist of %red%'''two''' %black%mandatory
questions from '''CS 760''', and %red%'''two''' questions each from '''761, 766, 769''', and '''776'''.
To pass the examination, students will have to answer satisfactorily the
%red%'''two questions from 760'''%black%, and %red%'''both questions from a single additional class
(761, 766, 769, or 776)'''%black%.  The latter two questions '''cannot''' be from different courses, and must correspond to the sub-area in which
Deleted lines 29-40:



Students will be prepared for the AI Exam if they have mastered
* The material presented in an introduction to artificial intelligence course such as 540;
* The Readings associated with 760;
* The Readings associated with one of 761, 766, 776 and 769. 
Students should note that the Readings ''go beyond'' the material covered in the associated course. The introductory AI material in 540 will '''not''' be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.

%red%'''Exam Format (this is different from previous semester)'''
%black%The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.

Deleted line 34:
Added lines 4-31:



The Department's standard course offerings in Artificial Intelligence
include a senior-level survey of the field, CS 540; two graduate-level
survey courses of the field, CS 760 and CS 731; and a series of 700-level
courses each covering one sub-area of the field. The sub-areas and the
primary courses covering them are Advanced Machine Learning (CS 761),
Computer Vision (CS 766), Natural Language Processing (CS 769), and
Advanced Bioinformatics (CS776).  Each of these courses has CS 540, CS
760, CS 576, or CS 731 as a prerequisite. Staff shortages may make it impossible
for the Department to regularly offer CS 731. When it is offered in a
semester appropriate for their course scheduling, graduate students should
take CS 731 /instead/ of 540. Students will be prepared for the Ph.D.
qualifying exam in AI if they have mastered the material presented in CS
540 (or 731), CS 760, and in one of CS 761, 766, 769, and 776.

The AI qualifying exam is designed to test for both a general breadth
knowledge of AI and a deeper specialized knowledge of one particular
sub-area within AI.  Specifically, the exam will consist of two mandatory
questions from CS 760, and two questions each from 761, 766, 769, and 776.
 To pass the examination, students will have to answer satisfactorily the
two questions from 760, and both questions from a single other course
(761, 766, 769, or 776).  The latter two questions cannot be from
different courses.  The latter two questions correspond to the sub-area in which
the student is intended to specialize in.

Changed lines 12-13 from:
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
to:
%red%'''Exam Format (this is different from previous semester)'''
%black%
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
Changed line 9 from:
* The Readings associated with one of 761, 766, 776, 769, and 841
to:
* The Readings associated with one of 761, 766, 776 and 769. 
Changed line 12 from:
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769, 841'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
to:
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
Added lines 14-15:
%blue%'''We expect to add CS 841 (Computational Cognitive Science) in a forthcoming semester.'''
Changed lines 18-19 from:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
to:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
April 14, 2012, at 09:54 PM by 24.177.201.255 -
Changed line 12 from:
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
to:
The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily %red%'''two''' %black%textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer %red%'''two''' %black%research-oriented questions, both coming from one of the following classes of the student's choice: '''761, 766, 776, 769, 841'''.  The research-oriented questions focus on ''principles'' and ''concepts'', and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
April 14, 2012, at 09:53 PM by 24.177.201.255 -
Changed line 10 from:
Students should note that the Readings ''go beyond'' the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.
to:
Students should note that the Readings ''go beyond'' the material covered in the associated course. The introductory AI material in 540 will '''not''' be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.
April 14, 2012, at 09:53 PM by 24.177.201.255 -
Changed lines 7-10 from:
*(a) the material presented in an introduction to artificial intelligence course such as 540;
*(b) the Readings associated with 760;
*(c) the Readings associated with one of 761, 766, 776, 769, and 841. 
Students should note that the Readings go beyond the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.
to:
* The material presented in an introduction to artificial intelligence course such as 540;
* The Readings associated with 760;
* The Readings associated with one of 761, 766, 776, 769, and 841. 
Students should note that the Readings ''go beyond'' the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.
April 14, 2012, at 09:52 PM by 24.177.201.255 -
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Students will be prepared for the AI Exam if they have mastered (a) the material presented in an introduction to artificial intelligence course such as 540; (b) the Readings associated with 760; (c) the Readings associated with one of 761, 766, 776, 769, and 841.  Students should note that the Readings go beyond the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.

The AI Examination will consist of %red%four %black%questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
to:
Students will be prepared for the AI Exam if they have mastered
*(a) the material presented in an introduction to artificial intelligence course such as 540;
*(b) the Readings associated with 760;
*(c) the Readings associated with one of 761, 766, 776, 769, and 841. 
Students should note that the Readings go beyond the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.

The AI Examination will consist of %red%'''four''' %black%questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
April 14, 2012, at 09:52 PM by 24.177.201.255 -
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The AI Examination will consist of four questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
to:
The AI Examination will consist of %red%four %black%questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.
April 14, 2012, at 09:51 PM by 24.177.201.255 -
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!!%blue%This is landing page for students preparing for AI qualifiers.
to:
!!%blue%This is landing page for students preparing for AI qualifiers in CS.
April 14, 2012, at 09:46 PM by 24.177.201.255 -
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Students will be prepared for the AI Exam if they have mastered (a) the material presented in an introduction to artificial intelligence course such as 540; (b) the Readings associated with 760; (c) the Readings associated with one of 761, 766, 776, 769, and 841.  Students should note that the Readings go beyond the material covered in the associated course. The introductory AI material (540) will not be tested in separate questions, but knowledge of this subject matter is likely to prove necessary when answering the graduate (700) level questions.

The AI Examination will consist of four questions.  To pass the examination, students will have to answer satisfactorily two textbook-level 760 questions on machine learning; taking 760 is the recommended way to prepare for this portion of the qual.  Students will also need to answer two research-oriented questions, both coming from one of the following classes of the student's choice: 761, 766, 767, 776, 769, 841.  The research-oriented questions focus on principles and concepts, and the student is expected to be able to solve new and original problems which require adapting the material covered in the reading lists below.

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%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
to:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
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!!This is landing page for students preparing for AI Quals.
to:

!!%blue%This is landing page for students preparing for AI qualifiers.
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!!Welcome to CS 766: Computer Vision

!!(Spring 2012)

This course will provide an introduction to computer vision, including such topics as image formation, feature extraction, calculating motion estimates, image mosaics, 3D shape reconstruction, object recognition, and image segmentation
. These techniques will be discussed in the context of problems including building 3D maps, organizing photo and video databases, human computer interaction, surveillance, automatic vehicle navigation, and performing general purpose inference from image data. We will also discuss applications of these ideas to other disciplines. 
to:
!!This is landing page for students preparing for AI Quals.

Changed lines 7-38 from:
'''Prerequisite(s)''':
*Data structures and Algorithms
*basic proficiency in C++/JAVA programming and/or Matlab
*basic proficiency in probability, calculus, and linear algebra

----

%red%'''[+Course email list:+]'''
'''[+compsci766-1-s12@lists.wisc.edu+]'''\\

----

%red%'''[+Course homepage:+]'''
'''[+http://vsingh-www.cs.wisc.edu/cs766-12/+]'''\\


>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://ecx.images-amazon.com/images/I/51jqOYXxLWL._SL500_AA300_.jpg
[[http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: A Modern Approach (2rd ed)]]\\
Forsyth/Ponce\\

>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://cb.pbsstatic.com/l/43/9343/9781848829343.jpg
[[http://szeliski.org/Book/|Computer Vision: Algorithms and Applications]]\\
Szeliski\\
[[<<]]
\\\

>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://upload.wikimedia.org/wikipedia/en/thumb/8/8e/Piazza_logo.png/215px-Piazza_logo.png\\
'''[+http://piazza.com/class#spring2012/cs766+]'''\\
Signup: http://www.piazza.com/wisc/spring2012/cs766
to:
%red%'''[+Please review the reading list for the relevant courses from the sidebar+]'''
February 01, 2012, at 12:46 PM by 144.92.237.176 -
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*basic proficiency in C++/JAVA programming
to:
*basic proficiency in C++/JAVA programming and/or Matlab
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[[http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: Algorithms and Applications]]\\
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[[http://szeliski.org/Book/|Computer Vision: Algorithms and Applications]]\\
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[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://cb.pbsstatic.com/l/43/9343/9781848829343.jpg
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----
February 01, 2012, at 12:43 PM by 144.92.237.176 -
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%red%'''[+Piazza Forum for CS 766:+]'''
February 01, 2012, at 12:43 PM by 144.92.237.176 -
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'''Books''':\\
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\\\
February 01, 2012, at 12:42 PM by 144.92.237.176 -
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----

%red%
'''[+Piazza Forum for CS 766:+]'''
to:

'''Books''':\\
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[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://upload.wikimedia.org/wikipedia/en/thumb/8/8e/Piazza_logo.png/215px-Piazza_logo.png\\
'''[+http://piazza.com/class#spring2012/cs766+]'''\\
Signup: http://www.piazza.com/wisc/spring2012/cs766



'''Books''':\\

>>lframe<<
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[[<<]]
----

%red%'''[+Piazza Forum for CS 766:+]'''
>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://upload.wikimedia.org/wikipedia/en/thumb/8/8e/Piazza_logo.png/215px-Piazza_logo.png\\
'''[+http://piazza.com/class#spring2012/cs766+]'''\\
Signup: http://www.piazza.com/wisc/spring2012/cs766
February 01, 2012, at 12:40 PM by 144.92.237.176 -
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%red%'''[+Course homepage:+]'''
'''[+http://vsingh-www.cs.wisc.edu/cs766-12/+]'''\\

----

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----
\\
%red%'''[+Course homepage:+]'''
'''[+http://vsingh-www.cs.wisc.edu/cs766-12/+]'''\\

----

to:

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[[http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: A Modern Approach (2rd ed)]].\\

[[http:
//szeliski.org/Book/|Computer Vision: Algorithms and Applications]].
to:
>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://ecx.images-amazon.com/images/I/51jqOYXxLWL._SL500_AA300_.jpg
[[http:
//www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: A Modern Approach (2rd ed)]]\\
Forsyth/Ponce\\

>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://ecx
.images-amazon.com/images/I/21YnSK5cyeL._SL500_AA300_.jpg
[[http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: Algorithms and Applications]]\\
Szeliski\\
February 01, 2012, at 12:33 PM by 144.92.237.176 -
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Signup: http://www.piazza.com/wisc/spring2012/cs766\\
to:
Signup: http://www.piazza.com/wisc/spring2012/cs766
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to:
\\
February 01, 2012, at 12:33 PM by 144.92.237.176 -
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Signup: http://www.piazza.com/wisc/spring2012/cs766
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Signup: http://www.piazza.com/wisc/spring2012/cs766\\
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[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://upload.wikimedia.org/wikipedia/en/thumb/8/8e/Piazza_logo.png/215px-Piazza_logo.png\\
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>>lframe<<
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Signup: http://www.piazza.com/wisc/spring2012/cs766
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----

%red%'''[+Piazza Forum for CS 766:+]'''
'''[+http://piazza.com/class#spring2012/cs766+]'''\\
January 26, 2012, at 10:15 AM by 144.92.237.176 -
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to:
This course will provide an introduction to computer vision, including such topics as image formation, feature extraction, calculating motion estimates, image mosaics, 3D shape reconstruction, object recognition, and image segmentation. These techniques will be discussed in the context of problems including building 3D maps, organizing photo and video databases, human computer interaction, surveillance, automatic vehicle navigation, and performing general purpose inference from image data. We will also discuss applications of these ideas to other disciplines. 
January 26, 2012, at 10:09 AM by 144.92.237.176 -
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*CS 367 or consent of instructor
*basic proficiency in
JAVA programming
to:
*Data structures and Algorithms
*basic proficiency in C++/
JAVA programming
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'''Books''':
to:
'''Books''':\\
January 26, 2012, at 10:07 AM by 144.92.237.176 -
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[[http://szeliski.org/Book/|Computer Vision: Algorithms and Applications]].\\
to:
[[http://szeliski.org/Book/|Computer Vision: Algorithms and Applications]].
January 26, 2012, at 10:07 AM by 144.92.237.176 -
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!!(Spring 2011)

CS 540 is an undergraduate/graduate level course focused on representation schemes, algorithms, and applications of AI. The content will cover search methods, knowledge representation mechanisms, efficient means of reasoning and inference, as well as a basic introduction to Machine Learning and Computer Vision.  
to:
!!(Spring 2012)

 
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'''[+compsci540-1-s11@lists.wisc.edu+]'''\\
to:
'''[+compsci766-1-s12@lists.wisc.edu+]'''\\
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'''[+http://vsingh-www.cs.wisc.edu/cs540-11/+]'''\\
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'''[+http://vsingh-www.cs.wisc.edu/cs766-12/+]'''\\
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>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/rn_cover.jpg
'''Textbook (required)'''
: \\
[[http://aima.cs.berkeley.edu/|Artificial Intelligence: A Modern Approach (3rd ed)]].\\
Stuart J. Russell and Peter Norvig.\\
Prentice Hall 2010. \\\


>>lframe<<
[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
'''Supplementary''': \\
[[http://www.cs.cmu.edu/~tom/mlbook.html|Machine Learning]]\\
Tom Mitchell\\
McGraw-Hill 1997.

to:
[[http://www.amazon.com/Computer-Vision-Modern-Approach-2nd/dp/013608592X|Computer Vision: A Modern Approach (2rd ed)]].\\

[[http://szeliski
.org/Book/|Computer Vision: Algorithms and Applications]].\\
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!!Welcome to CS 540: Introduction to Artificial Intelligence
to:
!!Welcome to CS 766: Computer Vision
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!!(Spring 2010)
to:
!!(Spring 2011)
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'''[+compsci540-1-s10@lists.wisc.edu+]'''\\
to:
'''[+compsci540-1-s11@lists.wisc.edu+]'''\\
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'''[+http://vsingh-www.cs.wisc.edu/cs540-10/+]'''\\
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'''[+http://vsingh-www.cs.wisc.edu/cs540-11/+]'''\\
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(Spring 2010)
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!!
(Spring 2010)
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!!Welcome to CS 540: Introduction to Artificial Intelligence (Spring 2010)
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!!Welcome to CS 540: Introduction to Artificial Intelligence
(Spring 2010)
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!!Welcome to CS 540: Introduction to Artificial Intelligence
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!!Welcome to CS 540: Introduction to Artificial Intelligence (Spring 2010)
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'''Textbook''': \\
[[http://aima.cs.berkeley.edu/|Artificial Intelligence: A Modern Approach (3rd ed)]]. ('''required''') \\
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'''Textbook (required)''': \\
[[http://aima.cs.berkeley.edu/|Artificial Intelligence: A Modern Approach (3rd ed)]].\\
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----
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%red%[+Course email list:+]
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%red%'''[+Course email list:+]'''
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%red%[+Course homepage:+]
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%red%'''[+Course homepage:+]'''
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----

%red%[+Course email list:+]
'''[+compsci540-1-s10@lists.wisc.edu+]'''\\

----

%red%[+Course homepage:+]
'''[+http://vsingh-www.cs.wisc.edu/cs540-10/+]'''\\

----

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>><<
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%red%[+Class email list:+]
compsci540-1-s10@lists.wisc.edu
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>><<
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%red%[+Class email list:+]
compsci540-1-s10@lists.wisc.edu
January 21, 2010, at 10:32 AM by 144.92.237.176 -
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CS 540 is a undergraduate/graduate level course focused on representation schemes, algorithms, and applications of AI. The content will cover search methods, knowledge representation mechanisms, efficient means of reasoning and inference, as well as a basic introduction to Machine Learning and Computer Vision. 
to:
CS 540 is an undergraduate/graduate level course focused on representation schemes, algorithms, and applications of AI. The content will cover search methods, knowledge representation mechanisms, efficient means of reasoning and inference, as well as a basic introduction to Machine Learning and Computer Vision. 
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'''For supplementary readings''': \\
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'''Supplementary''': \\
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'''Books'''
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'''Books''':
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'''Books'''
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'''Prerequisite(s):
*CS 367 or consent of instructor'''
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'''Prerequisite(s)''':
*CS 367 or consent of instructor
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'''Prerequisite:
CS 367 or consent of instructor'''
to:
CS 540 is a undergraduate/graduate level course focused on representation schemes, algorithms, and applications of AI. The content will cover search methods, knowledge representation mechanisms, efficient means of reasoning and inference, as well as a basic introduction to Machine Learning and Computer Vision. 

'''Prerequisite(s):
*CS 367 or consent of instructor'''
*basic proficiency in JAVA programming
*basic proficiency in probability, calculus, and linear algebra
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''For supplementary readings'': \\
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'''For supplementary readings''': \\
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For supplementary readings: \\
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''For supplementary readings'': \\
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Additional reference(s): \\
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For supplementary readings: \\
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>><<
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[[http://www.cs.cmu.edu/~tom/mlbook.html|Artificial Intelligence: A Modern Approach (3rd ed)]]. ('''required''') \\
to:
[[http://aima.cs.berkeley.edu/|Artificial Intelligence: A Modern Approach (3rd ed)]]. ('''required''') \\
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Machine Learning\\
to:
[[http://www.cs.cmu.edu/~tom/mlbook.html|Machine Learning]]\\
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McGraw-Hill
to:
McGraw-Hill 1997.
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[==]%lfloat margin-bottom=5px margin-left=25px margin-top=50px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
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[==]%lfloat margin-bottom=5px margin-left=25px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
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McGraw-Hill
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McGraw-Hill
>><<
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[==]
%lfloat margin-bottom=5px margin-left=25px margin-top=50px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
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\\
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%lfloat margin-bottom=5px margin-left=25px margin-top=50px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
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Prentice Hall 2010. \\
to:
Prentice Hall 2010. \\\
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%lfloat margin-bottom=5px margin-left=25px width=100px%http://vsingh-www.cs.wisc.edu/cs540-10/rn_cover.jpg
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McGraw-Hill
%center width=150px%http://vsingh-www.cs.wisc.edu/cs540-10/mitchell_cover.jpg
to:
McGraw-Hill
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Artificial Intelligence: A Modern Approach (3rd ed). ('''required''') \\
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[[http://www.cs.cmu.edu/~tom/mlbook.html|Artificial Intelligence: A Modern Approach (3rd ed)]]. ('''required''') \\
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\\
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!Welcome to CS 540: Introduction to Artificial Intelligence
to:
!!Welcome to CS 540: Introduction to Artificial Intelligence
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Artificial Intelligence: A Modern Approach (3rd ed). (''required'') \\
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Artificial Intelligence: A Modern Approach (3rd ed). ('''required''') \\
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For additional reference: \\
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Additional reference(s): \\
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\\\\
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\\
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McGraw-Hill\\
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McGraw-Hill
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\\\\
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%lframe%'''Textbook''':

Artificial Intelligence: A Modern Approach (3rd ed). (''required'')
Stuart J. Russell and Peter Norvig.
Prentice Hall 2010.
to:
'''Textbook''': \\
Artificial Intelligence: A Modern Approach (3rd ed). (''required'') \\
Stuart J. Russell and Peter Norvig.\\
Prentice Hall 2010. \\
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Artificial Intelligence: A Modern Approach (3rd ed). (''required'')\\
Stuart J. Russell and Peter Norvig.\\
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Artificial Intelligence: A Modern Approach (3rd ed). (''required'')
Stuart J. Russell and Peter Norvig.
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%lframe%'''Textbook''':
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Artificial Intelligence: A Modern Approach (3rd ed). \\
%rframe%
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%frame'''Textbook'''%: \\
Artificial Intelligence: A Modern Approach (3rd ed). (''required'')\\
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Stuart J. Russell and Peter Norvig. ||    [+('''required''')+]||\\
to:
%rframe%(''required'')

Stuart
J. Russell and Peter Norvig.\\
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Stuart J. Russell and Peter Norvig. \\
Prentice Hall 2010.
('''required''')
to:
Stuart J. Russell and Peter Norvig. ||    [+('''required''')+]||\\
Prentice Hall 2010.
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Artificial Intelligence: A Modern Approach, 3rd edition. \\
to:
Artificial Intelligence: A Modern Approach (3rd ed). \\
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'''Textbook(s)''': \\
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'''Textbook''': \\
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Prentice Hall, Englewook Cliffs, N.J., 2003

Reference Textbook
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Prentice Hall 2010. ('''required''')

For additional reference
: \\
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(:Welcome:)
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(:Title Welcome:)
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(:Welcome:)
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* Artificial Intelligence: A Modern Approach, 3rd edition. \\
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Artificial Intelligence: A Modern Approach, 3rd edition. \\
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* Machine Learning\\
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Machine Learning\\
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'''(required)'''\\
Artificial Intelligence: A Modern Approach, 3rd edition. \\
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* Artificial Intelligence: A Modern Approach, 3rd edition. \\
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'''(reference)'''\\
Machine Learning\\
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Reference Textbook: \\
* Machine Learning\\
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!!Prerequisite: CS 367 or consent of instructor

!!
Textbook(s): \\
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'''Prerequisite: CS 367 or consent of instructor'''

'''
Textbook(s)''': \\
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!!Prerequisite: CS 367 or consent of instructor

!!Textbook(s): \\
'''(required)'''\\
Artificial Intelligence: A Modern Approach, 3rd edition. \\
Stuart J. Russell and Peter Norvig. \\
Prentice Hall, Englewook Cliffs, N.J., 2003

'''(reference)'''\\
Machine Learning\\
Tom Mitchell\\
McGraw-Hill\\
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!Welcome to CS 540: Introduction to Artificial Intelligence.
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!Welcome to CS 540: Introduction to Artificial Intelligence
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!Welcome to the official homepage of CS 540: Introduction to Artificial Intelligence.
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!Welcome to CS 540: Introduction to Artificial Intelligence.
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Welcome to the official homepage of CS 540: Introduction to Artificial Intelligence.
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!Welcome to the official homepage of CS 540: Introduction to Artificial Intelligence.
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Welcome to PmWiki!

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