CompSci (CS) 171 — Introduction to Artificial Intelligence — Fall 2012


Current Announcements:

 

·         The answer key to the Final Exam is now posted below and here.

·         A prototype C++ Tournament shell has been released.  It is available at the following code repository:
https://github.com/Hydrotoast/ConnectK
Normally I protect student privacy very carefully, but this student has volunteered to make his email address publicly available:
gborje@uci.edu
so that you can contact him directly with issues and observations, bugs and bug fixes (if you contact him, please note that his name is Gio).

·         A prototype Java Tournament shell has been released.  Normally I protect student privacy very carefully, but this student has volunteered to make the code link on his home page publicly available:
http://www.ics.uci.edu/~avanbusk/connectK/
so that update files can be propagated immediately.  He also has volunteered to make his email address publicly available:
avanbusk@uci.edu
so that you can contact him directly with issues and observations, bugs and bug fixes (if you contact him, please note that his name is Alex).

·         The due date for the Project and the Tournament is Friday midnight, 7 December.

·         The answer key to CS-171 Quiz #4 is now posted below and here.

·         A detailed grading rubric for the Connect-K programming project has been inserted into the Project Specification and is available below and here.

·         The answer key to CS-171 Quiz #3 is now posted below and here.

·         The answer key to CS-171 Mid-term Exam is now posted below and here.

·         A Project Specification for the Connect-K programming project is available here.  A detailed grading rubric will be released shortly.

·         My office hours on Thursday, 1 November, will end at 1:30pm in order to attend the lecture by Dr. Waleed Abdalati, Chief Scientist, NASA, sponsored by the UCI Office of Research (see announcement).

·         The answer key to CS-171 Quiz #2 is now posted below.

·         The answer key to CS-171 Quiz #1 is now posted below.

·         There are now  two CS-171 MessageBoard forums at EEE:

(1) Class Discussion; and

(2) Seeking project programming team partner.  (Please use this forum if you are seeking a programming team partner for the class project.)

 

·         You are *required* to form project teams of two students, following the “Pair Programming” paradigm. It is not possible to have one-person project teams.

 

·         As stated in lecture and on the class website, the textbook is required.  You will be at a serious disadvantage for quizzes and exams if you do not have the textbook as a study aid. Please be sure you have Russell & Norvig, 3rd ed. (the blue one).

 

·         Current announcements will appear here, at top-level, for quick and easy inspection.

 


Lecture:

Place: HH 178 (In the basement of Building 601 on the UCI campus map)
Time: Tuesday/Thursday 11:00am-12:20pm

Discussion sections:

Dis 1: Monday 2:00-2:50pm in MSTB 118

Dis 2: Monday 3:00-3:50pm in ELH 110

 

Instructor: Richard Lathrop
Office hours: Tuesday/Thursday 1:00-2:20pm, or anytime by appointment, in DBH-4224

Email:  rickl@uci.edu

(If you send email, please put “CS-171” somewhere in the Subject line.)

 

TA: Dennis Park
Office hours: Friday 4:00-6:00pm, or anytime by appointment, in DBH- 4209

Email: iypark@uci.edu

(If you send email, please put “CS-171” somewhere in the Subject line.)

 

Reader: Mengfan Tang
Office hours: Tuesday 2:00-3:00pm, or anytime by appointment, in DBH-4089

Email: mengfant@uci.edu

(If you send email, please put “CS-171” somewhere in the Subject line.)

 


Goal:

The goal of this class is to familiarize you with the basic principles of artificial intelligence. You will learn some basic AI techniques, the problems for which they are applicable, and their limitations.

The course content is organized roughly around what are often considered to be three central pillars of AI: Search, Logic, and Learning. Topics covered include basic search, heuristic search, game search, constraint satisfaction, knowledge representation, logic and inference, probabilistic modeling, and machine learning algorithms.


Class Setup:

The course will be primarily lecture-based.  There will be a Mid-term and a Final Exam.  On every second Thursday, the first 20 minutes will be an in-class pop quiz, followed by lecture.  The frequent quizzes are intended to encourage you to stay current with the course material.  All exams and quizzes may cover all material presented in class, including lectures and assigned textbook reading.  Quizzes will cover mostly material presented since the last quiz, and also may include questions that many students missed on the previous quiz.  The Final Exam will cover mostly material since the Mid-term Exam, and also will include some questions intended to encourage you to remember the earlier material.

There will be an AI coding project, in which you will be provided with a “dumb” GUI shell, for which you will be required to code the “smarts.”  You are required to form teams of two students, following the “Pair Programming” paradigm.  Please note that you are encouraged to discuss concepts, methods, algorithms, etc.; but you are forbidden to copy: (1) source code from any source, or (2) text from any source unless properly cited and set off as a quote.  Except for class materials provided from this class website, you must invent and write all of your own code by yourself with your partner.  Except for properly referenced material, you must write all of your project report by yourself with your partner. Please note that your source code and project report are subject to analysis by automated plagiarism detection programs, and that direct copying will be treated as an act of academic dishonesty (please see the section on “Academic Honesty” below).

Homework will be assigned, but is not graded. The reason is that prior student course evaluations alerted me to the existence of student cheating by way of copying the homework answers.  I deplore this degree of personal degradation in dishonest students, but I cannot control it, and so I avoid the opportunity.  I remain determined to create a fair and honest educational experience for all students, as best I can.


Textbook

Required:  Russell & Norvig : Artificial Intelligence; A Modern Approach, 3rd edition.

The course is based on, and the UCI bookstore has, the 3rd edition. The assigned textbook reading is required, and is fair game for quizzes and exams.  You place yourself at a distinct disadvantage if you do not have the textbook.  I expect that you have a personal copy of the textbook, and quizzes and exams are written accordingly.

Please purchase or rent your own personal textbook for the quarter (and then resell it back to the UCI Bookstore at the end if you don't want it for reference). Please do not jeopardize your precious educational experience with the false economy of trying to save a few dollars by not having a personal copy of the textbook.

The 3rd edition is required.  R&N estimates that about 20% of the material in the 3rd edition is new from the 2nd edition.  Several of the chapters and exercises have been rearranged. (A kind and helpful student has elucidated some of the differences between the 2nd & 3rd editions; click here.)

Also, for your convenience, I have requested that a copy of the textbook be placed on reserve in the UCI Science Library. There is a two-hour check-out limit. However, please understand that with high student enrollments, it is unrealistic to expect that these thin reserves will always be available when you need them.  Please purchase or rent your own personal textbook.

I do deplore the high cost of textbooks.  You are likely to find the book cheaper if you search online at EBay.com, Amazon.com, and related sites.

A student kindly contributed the following suggestion, for which I cannot vouch, and which I provide for your use if it is useful to you:

Hello,

I just wanted to point out that there does exist an international edition of the book which can be bought for around $40-50. I cannot comment on what specific differences there are for this particular book, though they are usually very small (exercises moved around, etc). Obviously, it is in paperback.

http://www.valorebooks.com/affiliate/buy/siteID=e79mzf/ISBN=0136042597

http://www.abebooks.com/servlet/BookDetailsPL?bi=4161131466&cm_ven=sws&cm_cat=sws&cm_pla=sws&cm_ite=4161131466&afn_sr=para&para_l=1

http://www.biblio.com/books/360025589.html

Personally I plan on using this book for a while so I bought the hardcover version, but I just wanted to point out that this is an option for those looking for a more 'economical' route.

~ XXXXXX [name anonymized to protect student privacy]


Grading:

Your grade will be based on the bi-weekly quizzes (20%), a project (20%), a mid-term exam (25%), and a final exam (35%).  Homework is assigned but ungraded.

·         Quizzes will be given the first 20 minutes of class every second Thursday (starting the third Thursday, and adjusted for the mid-term exam).  Your lowest quiz score will be discarded in computing your grade.  It is not possible to make-up missed quizzes, but one missed quiz may be discarded as your lowest quiz score.

·         The mid-term exam will be given in class on Tuesday, November 6, and is closed-book, closed-notes.  It is not possible to make-up a missed mid-term exam.

·         The final exam will be given on Tuesday, December 11, 10:30 - 12:30 p.m., 10:30 a.m. - 12:30 p.m., and is closed-book, closed-notes.  The final exam will cover all course material from the entire quarter, but mostly the second half.  It is not possible to make-up a missed final exam.

            Dates and times for all final exams are set by the UCI Registrar (Final Exam Schedule 2012-13).

I make exceptions for genuine medical conditions (I require a note from your doctor on official letterhead) or deaths in the family (I require a copy of the death certificate).  Also, I honor all requests made by the UCI Disability Services Center.

·         Every student who fills out a course evaluation for CS-171 will receive a bonus of 1% added to their final grade, free and clear, off the curve, simply a bonus.

        EEE will return to me the names of students who fill out evaluations (but not the content, which remains anonymous), provided that enough students fill out evaluations so that anonymity is not compromised.  I will add 1% free bonus to the final grade of each such named student.

        Student course evaluations are very important to me for monitoring and improving the course content, and very important to UCI for evaluating our success at our educational mission.  *Please* fill out your student course evaluations.

 

·         “Bonus Points” will be awarded, at my sole discretion, (1) to the first student who spots a genuine technical error (typos don’t count) in any of the course materials before I spot it too, and (2) for helpful contributions to the class as we go along.  One bonus point is equivalent to one quiz point.

 


Syllabus:

The following represents a preliminary syllabus. Some changes in the lecture sequence may occur due to earthquakes, fires, floods, wars, natural disasters, unnatural disasters, or the discretion of the instructor based on class progress.

Background Reading and Lecture Slides will be changed or revised as the class progresses at the discretion of the instructor.  Please note:  I may tweak or revise the lecture slides prior to the lecture; please ensure that you have the current version.

Please read the assigned textbook reading in advance of each lecture, then again after each lecture.


Week 1:

            Thu., 27 Sep., Introduction, Agents.

                        Read in Advance: Textbook Chapters 1-2.

                        Lecture slides: Introduction, Agents [PDF; PPT].


            Optional Cultural Interest:

                        IBM Watson: Final Jeopardy! and the Future of Watson

                        AI vs. AI. Two chatbots talking to each other.

            Optional Reading:

                        John McCarthy, “What Is Artificial Intelligence?

                                                HTML and other versions of “What is AI?”

            Optional URL:

Association for the Advancement of Artificial Intelligence (AAAI)

AAAI’s Student Resources

AAAI’s digital library of more than 10,000 AI technical papers

AAAI’s AI Magazine

AAAI’s Author Kit

                        John McCarthy Homepage

 

            Tue., 2 Oct., Uninformed Search.

                        Read in Advance: Textbook Chapter 3.1-3.4.

                        Lecture slides (three parts):

                                    (1) Introduction to Search [PDF; PPT];

                                    (2) Representation [PDF; PPT]; and

                                    (3) Uninformed Search [PDF; PPT].


            Optional Cultural Interest:

                        Boston Dynamics Big Dog (new video March 2008)

                        Honda's robot ASIMO

Optional Reading:

            Newell & Simon’s “Symbols and Search” Turing Award Lecture (1976).

            Herbert Simon was awarded a Nobel Prize (in economics, 1978).

 

Week 2:

            Thu., 4 Oct., Heuristic Search.

                        Read in advance:  Textbook Chapter 3.5-3.7.

                        Lecture slides: Heuristic Search [PDF; PPT].

 

            Optional Cultural Interest:

                        Infinite Mario AI - Long Level

                        An attempt at a Mario AI using the A* path-finding algorithm.

                                    It claims the bot won both Mario AI competitions in 2009.

                                    You can see the path it plans to go as a red line, which updates when it detects new obstacles at the right screen border. It uses only information visible on screen.”

                        See also http://www.marioai.org/.

                       

            Tue., 9 Oct., Local Search.

Read in advance:  Textbook Chapter 4.1-4.2.

                        Lecture slides: Local Search [PDF; PPT].

 

Optional URL:

            Boxcar 2D

                                    The program learns to build a car using a genetic algorithm

            Optional Reading:
                        Minton, et. al., 1990, AAAI "Classic Paper" Award recipient in 2008.

                                    How to solve the 1 Million Queens problem and schedule space telescopes.

            Optional Lecture Slides:

                        Review Search [PDF; PPT].

            Optional Ungraded Homework:

                        Homework #1; answer key.

Week 3:

            Thu., 11 Oct., Quiz #1 (answer key here); start Games/Adversarial Search.

Read in advance: Textbook Chapter 5.1-5.5.

                        Lecture slides: Games/Adversarial Search [PDF; PPT].

 

            Optional Cultural Interest:

                        Google Goggles

            Optional Reading:

                        Campbell, et al., 2002, Artificial Intelligence, “Deep Blue.” [PDF]

                                    (URL http://www.sciencedirect.com/science/article/pii/S0004370201001291)

 

            Tue., 16 Oct., finish Games/Adversarial Search.

Read in advance: Textbook Chapter 5.1-5.5.

                        Lecture slides: Games/Adversarial Search (above).

 

Optional Cultural Interest:

                        Arthur C. Clarke “Quarantine.”

                                    A science fiction short story written by a classic master, in 188 words.

                                    He was challenged to write a science fiction short story that would fit on a postcard.

Optional Reading: Chaslot, et al., “Monte-Carlo Tree Search: A New Framework for Game AI,”

in Proceedings of the Fourth Artificial Intelligence and Interactive Digital Entertainment Conference,

AAAI Press, Menlo Park, pp. 216-217, 2008.

            An interesting combination of Local Search (Chapter 4) and Game Search (Chapter 5).

Optional URL: “Everything Monte Carlo Tree Search” website.

            Optional Ungraded Homework:

                        Homework #2; answer key.

 

Week 4:

            Thu., 18 Oct., start Constraint Satisfaction.

Read in advance: Textbook Chapter 6.1-6.4, except 6.3.3.

                        Lecture slides: Constraint Satisfaction Problems [PDF; PPT].

 

            Special Announcement:

                        ICS Faculty Panel On Improving Your Graduate School Application

 

            Optional Cultural Interest:

                        Google Car: It Drives Itself - ABC News

                        [Part 1/3] The Evolution of Self-Driving Vehicles

                        [Part 2/3] How Google's Self-Driving Car Works                  

                        [Part 3/3] Google's Self-Driving Golf Carts

                        DARPA Urban Challenge Highlights

                        Princeton DARPA Grand Challenge - Crash Video

                        DARPA Urban Challenge: Ga Tech hits curb

                        DARPA Urban Challenge - Sting Racing crash

                        [DARPA] Team Oshkosh attempts forced Entry to Main Exchange

                        [DARPA] Alice's Crash (spectator view)

                        [DARPA] Alice's Crash (road-finding camera) [different view of above; long]

                        DARPA Urban Challenge Crash Cornell MIT

                        DARPA Urban Challenge - robot car wreck [different view of above]

            Optional Reading:

                        Autonomous car - Wikipedia, the free encyclopedia

                        Autonomous Driving in Traffic: Boss and the Urban Challenge” (2009).

                        Stanley: The Robot that Won the DARPA Grand Challenge” (2005).

 

            Tue., 23 Oct., finish Constraint Satisfaction.

                        Read in advance: Textbook Chapter 6.1-6.4, except 6.3.3.

                        Lecture slides: Constraint Satisfaction Problems (above).

 

            Optional Cultural Interest:

                        RoboCup 2012 Standard Platform: USA / Germany (Final).

            Optional Ungraded Homework:

                        Homework #3; answer key.

 

Week 5:

            Thu., 25 Oct., Quiz #2 (answer key here); start Propositional Logic.

Read in advance: Textbook Chapter 7.1-7.4.

                        Lecture slides: Propositional Logic A [PDF; PPT].

 

            Optional Cultural Interest: “Freaky AI robot, taken from Nova science now

 

            Tue., 30 Oct., finish Propositional Logic.

Read in advance: Textbook Chapter 7.5-7.8.

Lecture slides: Propositional Logic B [PDF; PPT].

            Additional Discussion lecture slides [PDF; PPT].

 

            Optional pre-Halloween URLs (snakes and spiders!):

                        Snake Robot Climbs a Tree

                        Asterisk - Omni-directional Insect Robot Picks Up Prey #DigInfo

                       

            Optional Reading:

Alan Turing’s classic paper on AI (1950).

            (URL http://www.loebner.net/Prizef/TuringArticle.html)

            Alan Turing is the most famous computer scientist of all time.

The Turing Award is the highest honor in computer science.

The Turing Machine is still our fundamental theoretical model of computation.

Turing’s work on the Enigma code in WWII led to programmable computers.

            AAAI/AI Topics: The Turing Test: “Can Machines Think?”

            Wikipedia “Computing Machinery and Intelligence

            No homework --- study for the Mid-term Exam.

 

Week 6:

            Thu., 1 Nov., Catch-up, Review for Mid-term Exam.

Read in advance: Textbook Chapters 1-7 (only sections assigned above).

                        Lecture slides: Catch-up, Review, Question&Answer [PDF; PPT].

 

                        NOTE: My office hours on Thursday, 1 November, will end at 1:30pm in order to attend the lecture by Dr. Waleed Abdalati, Chief Scientist, NASA, sponsored by the UCI Office of Research (see announcement).

 

            Tue., 6 Nov., Mid-term Exam (answer key here).

Read in advance: Textbook Chapters 1-7 (only sections assigned above).

                        Lecture slides: Catch-up, Review, Question&Answer (above).

 

            Optional Ungraded Homework:

                        Homework #4; answer key.

Week 7:

            Thu., 8 Nov., Review Mid-term Exam; start First Order Logic

Read in advance: Textbook Chapter 8.1-8.2.

                        Lecture slides: First Order Logic Syntax [PDF; PPT].

 

            Optional Cultural Interest:

                        Singularity Institute for Artificial Intelligence- P1/2 - Video Dailymotion

                        Singularity Institute for Artificial Intelligence

                        Singularity Institute - Wikipedia, the free encyclopedia

                        Singularity Institute home page

 

            Tue., 13 Nov., finish First Order Logic; Knowledge Representation.

Read in advance: Textbook Chapter 8.3-8.5.

                        Lecture slides (two parts):

(1) First Order Logic Semantics [PDF; PPT]; and

(2) First Order Logic Knowledge Representation [PDF; PPT].

 

            Optional Cultural Interest:

                        High-Speed Robot Hand

 

            Optional Reading:

Ferrucci, et al., 2010, “Building Watson: An Overview of the DeepQA Project”

            (URL http://www.stanford.edu/class/cs124/AIMagazine-DeepQA.pdf)

            Optional Ungraded Homework:

                        Homework #5; answer key.

 

Week 8:

            Thu., 15 Nov., Quiz #3 (answer key here); Inference in First Order Logic.

Read in advance: Textbook Chapter 9.1-9.2, 9.5.1-9.5.5.

                        Lecture slides: First Order Logic Inference [PDF; PPT].

 

            Optional URL: “Peter Norvig 12. Tools of AI: from logic to probability.

 

            Tue., 20 Nov., Probability, Uncertainty, Bayesian Networks.

Read in advance: Textbook Chapters 13, 14.1-14.2.

                        Lecture slides: Reasoning Under Uncertainty [PDF; PPT].

 

            Optional Cultural Interest:

                        “IBM simulates 530 billon neurons, 100 trillion synapses on supercomputer

                        “Speech Recognition Breakthrough for the Spoken, Translated Word”

 

            Optional Reading:

                        Searching for Commonsense: Populating Cyc from the Web, Matuszek et al, AAAI 2005

                                    (URL http://www.cyc.com/doc/white_papers/AAAI051MatuszekC.pdf)

            Optional Reading: An Introduction to the Syntax and Content of Cyc, Matuszek et al, AAAI Spring Symposium, 2006

            Optional Ungraded Homework:

                        Homework #6; answer key.

 

Week 9:

            Thu., 22 Nov., Thanksgiving Day Holiday

 

            Tue., 27 Nov., start Learning from Examples.

Read in advance: Textbook Chapter 18.1-18.4.

                        Lecture slides: Intro to Machine Learning [PDF; PPT].

 

Week 10:

            Thu., 29 Nov., Quiz #4 (answer key here); finish Learning from Examples.

Read in advance: Textbook Chapter 18.5-18.12, 20.1-20.3.2.

                        Lecture slides:

                                    Learning Classifiers [PDF; PPT].

                                   

            Tue., 4 Dec., Machine Learning & Machine Vision (lecture by Dennis Park).

Read in advance: TBA.

                        Lecture slides:

                                    TBA [PDF; PPT].

                                    Viola & Jones, Learning, Boosting, Vision [PDF; PPT] (read the paper immediately below!)

 

            Optional Reading: Viola & Jones, 2004, “Robust Real-Time Face Detection”

            Optional Reading: Freund & Schapire, 1999, “A Short Introduction to Boosting”

            Optional Reading: Danziger, et al., 2009, “Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning”

 

Week 11:

            Thu., 6 Dec., Catch-up, Review for Final Exam.

Read in advance: Textbook, review all assigned reading.

                        Lecture slides: Review, Catch-up, Question&Answer [PDF; PPT].

 

            Fri., 7 Dec., Project due (Friday midnight): Alpha-Beta Search with Heuristic Cut-off

 

Final Exam:

Tue., 11 Dec, 10:30am-12:30pm Final Exam (answer key here).

 


Project:

Connect-K Game.  This project corresponds to Game Search (Chapter 5 in your book). Your job is to write an AI agent that can beat you at Connect-K, i.e., to write the adversarial search (“game search”) controller for a video game world.

 

A Project Specification for the Connect-K programming project is available here.  A detailed grading rubric has been released as part of the Project Specification.

 

A Java shell is available; a C++ shell is available; an example “dumb” game is available; an example “smart” game is available.  A student has kindly contributed the Java packages for the term project game and put them together into a jar file (available here). Another student has kindly written a Java application for use with the term project game, from scratch, using Swing (available here).

 

·         A prototype C++ Tournament shell has been released.  It is available at the following code repository:
https://github.com/Hydrotoast/ConnectK
Normally I protect student privacy very carefully, but this student has volunteered to make his email address publicly available:
gborje@uci.edu
so that you can contact him directly with issues and observations, bugs and bug fixes (if you contact him, please note that his name is Gio).

·         A prototype Java Tournament shell has been released.  Normally I protect student privacy very carefully, but this student has volunteered to make the code link on his home page publicly available:
http://www.ics.uci.edu/~avanbusk/connectK/
so that update files can be propagated immediately.  He also has volunteered to make his email address publicly available:
avanbusk@uci.edu
so that you can contact him directly with issues and observations, bugs and bug fixes (if you contact him, please note that his name is Alex).

 

There is also a “tournament” shell that was begun by the undergraduate working on the Game code (available here), but he graduated before it was finished.  Another tournament small framework, written by another student, is available here, and as a zip file here.

 

I will offer extra credit to any students who are interested in playing a “tournament” and get that code working.  I will also offer CS-199 credit to any student who wishes to do this as an independent study in the future (grade of A- or better required).

 

All of my various CS-171 projects were written by former CS-171 students who became interested in AI and signed up for CS-199 in order to pursue their interest and write interesting AI project shells.  Please let me know if this is of interest to you (grade of A- or better required).

 


Study Guides --- Previous CS-171 Quizzes, Mid-term, and Final exams:

Previous CS-171 Quizzes, Mid-term exams, and Final exams are available here as study guides.

 

As an incentive to study this material, at least one question from a previous Quiz or Exam will appear on every new Quiz or Exam. In particular, questions that many students missed are likely to appear again. If you missed a question, please study it carefully and learn from your mistake --- so that if it appears again, you will understand it perfectly.

 

Fall Quarter 2012:

Quiz #1 and key

Quiz #2 and key

Quiz #3 and key

Quiz #4 and key

Mid-term Exam and key

Final Exam and key

 

Winter Quarter 2012:

 

Quiz #1 and key

Quiz #2 and key

Quiz #3 and key

Quiz #4 and key

Mid-term Exam and key

Final Exam and key

 

Spring Quarter 2011:

 

Quiz #1 and key

Quiz #2 and key

Quiz #3 and key

Quiz #4 and key

Quiz #5 and key

Mid-term Exam and key

Final Exam and key

 

Spring Quarter 2004:

 

Quiz #1 key

Quiz #2 key

Quiz #3 key

Quiz #4 key

Quiz #5 key

Quiz #6 key

 

Spring Quarter 2000:

 

Quiz #1 key

Quiz #2 key

Quiz #3 key

Quiz #4 key

Quiz #5 key

Final Exam key


 

Online Resources:

Additional Online Resources may be posted as the class progresses.

 Textbook website for Artificial Intelligence: A Modern Approach (AIMA).

            AIMA page for additional online resources.

 

American Association for Artificial Intelligence (AAAI) website.

            AAAI “AI Topics.”

            AAAI “Student Resources.”

            AAAI “Classic Papers.”

            AAAI Annual Conference.

 

Much of the text for the HAL book .

Well worth looking at to get a broad and entertaining view of the history of AI.

 


 

 

Academic Honesty:

Academic dishonesty is unacceptable and will not be tolerated at the University of California, Irvine. It is the responsibility of each student to be familiar with UCI's current academic honesty policies. Please take the time to read the current UCI Senate Academic Honesty Policies and the ICS School policy on cheating.

The policies in these documents will be adhered to scrupulously. Any student who engages in cheating, forgery, dishonest conduct, plagiarism, or collusion in dishonest activities, will receive an academic evaluation of ``F'' for the entire course, with a letter of explanation to the student's permanent file. The ICS Student Affairs Office will be involved at every step of the process. Dr. Lathrop seeks to create a level playing field for all students.