Cs 486 uwaterloo Ifweconverttheintegertoafour-bitbinarynumber,theneachbitgives 486 is a more computer science course. Evaluation For students registered in CS 486 4 Technical Assignments: 28%; 3 Tutorial Assignments: 15% ; Midterm: 12% (Wednesday, October 23, 2017 at 19:00-20:50 in RCH 301/302/308) Blog Task. In prior work, the value function was created by using handcrafted features, and this was infeasible for the high-dimensional video input in the Atari games. ca) Office Hours: Thursdays 10:15-11:15 in DC 2580 ; For students registered in CS 486 6 Assignments: 60%; Final Exam: 40%; Project (Optional): Up to 5 bonus marks For students registered in CS 686 6 Assignments: 40%; CS 486/686 Assignment 1 (140 marks) AliceGao DueDate: 11:59pmonWednesday,June9,2021 Changes • Q1: Changedthedescriptionstousewolfandsheepinsteadofmissionariesandcan- Go to uwaterloo r/uwaterloo. UWaterloo; Intro Artificial Intelligence; Intro Artificial Intelligence (Cs 486) 25 25 documents. Quizzes: 15%; Assignments: 25%; Final: 40%; Project: 20%; Grading Policies. \primal Kate Larson (klarson @ uwaterloo. NOTE: DO NOT COPY MY ANSWERS. Poupart 5 Some Definitions (Russell & Norvig) The exciting new effort to make computers that think machines with CS 486/686: Introduction to AI. Schedule: Tuesday and Thursday, 4:00-5:20 Room: MC 4045 Instructor: Kate Larson Fall 2013 CS 486/686: Intro. The goal is worth 100, but the robot has to pay 20 to take the long route. CS 486/686: Intro to AI Lecturer: Wenhu Chen Slides: Alice Gao / Blake Vanberlo 1 / 42 CS 486/686 Assignment 3 (79 marks) AliceGao DueDate: 11:59PMETonWednesday,July21,2021 Changes • v1. It was not with Yu, but i had the experience you're afraid of Sorry, looks like something is wrong on our end – try again in a few minutes. Private Piazza Offered to undergraduate students as CS486 and graduate students as CS686. You can add additional areas of expertise by including specializations such as: Computer Science Minor; @uwaterloo social directory. The most recent offering can give you an idea of what you can expect if you were to enroll but the delivery of a course is subject to change based on the term CS 486 . Schedule: Tuesday and Thursday, 4:00-5:20 Room: MC 4045 Instructor: Kate Larson. Identify a problem in that application domain. Offered: As permitted by demand and available resources. At the start of each online office hour I will start a conversation. Schedule: Tuesday and Thursday, 4:00-5:20 Room: MC 4045 Instructor: Kate Larson CS 486. Poupart 5 Some Definitions (Russell & Norvig) The exciting new effort to make computers that think machines with CS 486/686 Assignment 2 (105 marks) AliceGao DueDate: 11:59pmETonWednesday,November3,2021 Changes • v1. Exam Period Office Hours: Kate Larson: . At each time, t, the agent is in some state s David R. Outline Learning Goals Introduction to Decision Theory Decision Network for Mail Pick-up Robot Evaluating the Robot Decision Network Variable Elimination for a Single-Stage Decision Network toshiya. Initialize search algorithm with initial state of the problem 2. Cheriton School of Computer Science Course Outline. For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Wednesday, October 18, 2017 at 7:00-8:50 pm in M3 1006 and MC 4044) Final Exam: 45% (Monday, December 18, 2017 from 9:00am-11:30am in M3 1006) Project (Optional): Up to 5 bonus marks CS 251E may be substituted for CS 251 wherever the latter is a requirement. This means that there are no lectures and no meetings on campus. Introduction to Artificial Intelligence CS 486 / CS 686 003 [LEC] Tue, Thu Sep 4 - Dec 3 10:00AM - 11:20AM MC 1085 J. r/uwaterloo CS 486 is very useful and not too hard (in fact I felt the amount of work is less than it's prereq CS 341 taught by Timothy Chan). Spring: ECE 488 Multivariable Control Systems. ca) Office Hours: Thursdays 10:15-11:15 in DC 2580 ; For students registered in CS 486 6 Assignments: 60%; Final Exam: 40%; Project (Optional): Up to 5 bonus marks For students registered in CS 686 6 Assignments: 40%; CS 486/686 Lecture 23-24 2-Player Normal-Form Games 1 Learning goals: By the end of the lecture, you should be able to • Determine dominant-strategy equilibria of a 2-player normal form game. Site menu: Home; Schedule; Project; Project Information. • Determine pure-strategy Nash equilibria of a 2-player normal form game. 0 0 questions. Instructors: Hongyang Zhang (hongyang. ca) – Alexandre Parmentier (aparment@uwaterloo. TAs: Haochen Sun (TA head) (h299sun@uwaterloo. "Science is mere speculation, mere formulation of conjecture. ca) Office Hours: Thursdays 10:15-11:15 in DC 2580 ; For students registered in CS 486 6 Assignments: 60%; Final Exam: 40%; Project (Optional): Up to 5 bonus marks For students registered in CS 686 6 Assignments: 40%; Reading Primary Texts: David Poole and Alan Mackworth "Artificial Intelligence: Foundations of Computational Agents". Introduction to Artificial Intelligence Go to uwaterloo r/uwaterloo. Elective I would probably be swapping out CS 370 for CS 480 if that timing works out (need to double check later). 33293 Fax: 519-885-1208 If you email an instructor or a teaching assistant then you must you your uwaterloo. For CS 686, the assignments are worth 25% (each is worth 6. During the second week of the term (see above for exact date), Instructor Consent will be applied to our project based courses (e. Access study documents, get answers to your study questions, and connect with real tutors for CS 486 : Artificial Intelligence at University of Waterloo. Lab is not scheduled and students are expected to find time in open hours to complete their work. If you email an instructor or a teaching assistant then you must you your uwaterloo. Outline Learning Goals Why Heuristic Search LCFS, GBFS, and A* Lowest-Cost-First Search Greedy Best-First Search A* Search Designing an Admissible Heuristic Pruning the Search Space Assignments will be posted on Learn. Note for students with disabilities. For a complete list of undergraduate level CS courses, please visit the CS course information page. 2 0. ca Ryusuke Sugimoto rsugimot@uwaterloo. Outline •What are Constraint Satisfaction Problems (CSPs) •Standard Search and CSPs •Leveraging problem structure - Improvements 2. , no team). Solutions available. Tuesday, April 7, 1:30-2:30 CS 486/686 Introduction to Artificial Intelligence (May - Aug 2021) Toggle navigation. For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Wednesday, October 18, 2017 at 7:00-8:50 pm in M3 1006 and MC 4044) Final Exam: 45% (Monday, December 18, 2017 from 9:00am-11:30am in M3 1006) Project (Optional): Up to 5 bonus marks CS 486/686: Introduction to AI. ca) The TAs’ office hours will be posted on the course website. 25%). ca) Office Hours: Thursdays 10:15-11:15 in DC 2580 ; For students registered in CS 486 6 Assignments: 60%; Final Exam: 40%; Project (Optional): Up to 5 bonus marks For students registered in CS 686 6 Assignments: 40%; Kate Larson (klarson @ uwaterloo. zhang@uwaterloo. " Nassim Taleb, "Fooled by Randomness", p. Instructor: Dr. ca) Office Hours: Tuesdays 1:30-2:30pm in DC 2518; John Doucette (j3doucet @ uwaterloo. 8 0 ~l i 0. \dual representation" for crossword puzzles with letters as domains) Here: Consider only Unaryand Binary(e. Introduction • Recall how inductive learning works – Given a training set of examples of the form (x, f(x)) return a function h (a hypothesis) that CS 486/686 Introduction to Artificial Intelligence (Sep - Dec 2021) Toggle navigation. 1:00-2:20 Mon/Wed MC 1056; 2:30-3:50 Mon/Wed MC 1056; Alice's Office hours. 1 - 21. For CS 686 students, please cite at least 10-12 research papers. Fall 2018; Both CS and ECE offer ATEs in Artificial Intelligence including CS 485 Statistical and Computational Foundations of Machine Learning, CS 486 Introduction to Artificial Intelligence, ECE 457A Cooperative and Adaptive Algorithms, and ECE 457B Fundamentals of Computational Intelligence . ca Mojtaba Valipour m5valipo@uwaterloo. About. 50. Readings: R and N: Chapters 1 and 2 P and M: Chapter 1 Wednesday, September 13: Topic: Uninformed Search This course introduces students to the fundamental problems of artificial intelligence and the basic models and algorithms used to tackle these problems. Introduction Search was one of the first topics studied in AI - Newell and Simon (1961) General Problem Solver L1: Introduction to CS 486/686 and AI Slides Wednesday, May 8 L2: Intelligent Agents, Intro to Search Agents Slides (Updated on Thu May 9) Search Intro Slides (up to slide 12) Schedule (Subject to Change) Final Exam: Sat. PM 12. 480 is almost certainly the more challenging of the two. 0592 f 0. ca CS486/686 Spring 2023 -Lecture 1 -Pascal Poupart PAGE 17. 486 is a sampler course and focuses a lot more on theory/general overview, rather than math. Spring 2019; CS 136. 486 introduces you to many popular machine learning algorithms which I felt is really useful. Policies. (available online. Introduction to modeling and algorithmic techniques for machines to learn concepts from data. Plan for Today • Uniformed Search Methods • Thinking about the importance of abstractions CS 486/686 F23 2. If no candidate nodes can be expanded,return failure 2. Unofficial student and alumni-run subreddit for the University of Waterloo community Members We will learn lots of algorithms to solve interesting but challenging problems. Repeat 1. CS 486/686 Introduction to Artificial Intelligence (Jan - Apr 2021) Toggle navigation. Value of Information •Information has value •To the extent it is likely to cause a change of plan CS486/686 - Spring 2017 Introduction to Artificial Intelligence Instructor:Pascal Poupart Email:ppoupart [at] uwaterloo [dot] ca Website: cs. Hoey CS 486 001 [LEC] Tue, Thu Sep 4 - Dec 3 04:00PM - 05:20PM RCH 112 H. ca, Go to uwaterloo r/uwaterloo. ca To get to its goal, a robot can go one of two ways: a long, safe route and a shortcut. Clickers: 5%; Quizzes: 20%; Assignments: 30%; Final: 45%; CS 686. ca, DC 3117) TAs: Benjamin Armstrong, Aravind Balakrishnan, Camilo Andres Munoz David R. Introduction to Artificial Intelligence course covering fundamental problems, models, and algorithms in AI for undergraduate and graduate students at the University of Waterloo. ca Kai Ma If you email an instructor or a teaching assistant then you must you your uwaterloo. Customize your degree in Computer Science. Poupart 15 Topics we will cover •Search –Uninformed and heuristic search –Constraint satisfaction problems cs486/686 Lecture Slides (c) 2009 K. Overview – Introduction to Computational Learning Theory – PAC Learning Theory Thanks to T Mitchell 2. , we use ordering Aches, Cold, Flu, Malaria §resulting network is more complicated! §Mal depends on Aches; but it also depends on Cold, Flu given Aches §Cold, Flu explain away Mal given Aches §Flu depends on Aches; but also on Cold given Aches §Cold depends on Aches Causal Intuitions CS 486/686 Introduction to Artificial Intelligence Personnel; Grading; Schedule; Assignments; Project; Resources; Term: Fall 2018 Lectures. CS 486/686 - K Larson - F2007 Markov chains • Simplified version of snakes and ladders CS486/686 Lecture Slides (c) 2015 P. Site menu: Home; Schedule; Project; Schedule (Subject to Change) Extra Office Hours for the Exam Period: Wednesday, April 5 from 1:00pm-2:30pm (DC 2518) Thursday, April 6 from 6:00pm-8:00pm (DC 2306) Friday, April Eliminate variable OC: f 7(Fraud) = sumout OC[f 1(OC) f 4(OC) f 5(OC;Fraud)] Fraud f 7(Fraud) t 0. It's more about algorithms more machine learning. CS 343 teaches concurrent parallel programming while CS 486 delves into the realm of artificial intelligence. 1: AddedadescriptionofhowtochoosethepotentialsplitpointsinQ2. Any thoughts? Share Add a Comment. CS 486/686: Introduction to Artificial Intelligence Constraint Satisfaction. Fall 2013 CS 486/686: Intro. g. py Fixedtheassignedvalueofdt_global. CS 486/686 Introduction to Artificial Intelligence Personnel; Grading; Schedule; Assignments; Project; Resources; Instructor. ca) For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Thursday, February CS 486 – Introduction to Artificial Intelligence. 1 h353wang@uwaterloo. OTHERWISE, YOU WILL BE CAUGHT FOR SURE. CS486/686 Lecture Slides (c) 2009 C. Elementary Algorithm Design and Data Abstraction. Bayes Nets (80 points) Your dog Fido has been howling for the last three hours and you want to decide whether or not to take him to the vet, or just put in earplugs and go back to sleep. CS 486/686 Introduction to Artificial Intelligence. Toggle navigation. Schedule: Wed and Fri (Sec 1 2:30-3:50, Sec 2 4:00-5:20) Room: MC 2035 Instructor: Kate Larson CS 486/686 - K Larson - F2007 Outline • Sequential Decision Processes –Markov chains •Highlight Markov property –Discounted rewards •Value iteration –Markov Decision Processes –Reading: R&N 17. ca) – Ehsan Ganjidoost (eganjido@uwaterloo. Shi CS 486 002 [LEC] Tue, Thu Sep 4 - Dec 3 02:30PM - 03:50PM RCH 112 H. Luckily the curve is often pretty hefty CS 486/686: Intro to AI Lecturer: Wenhu Chen Slides: Alice Gao / Blake Vanberlo 1 / 84. Unofficial student and alumni-run subreddit for the University of Waterloo community Members Online. Basics of Probability •Probability Distribution •A specification of a probability for every event in our sample space •Probabilities are non-negative and must sum to 1 •Joint Probability Distribution •Often the world is described by two or more random variables There will be one midterm test of 80 minutes duration worth 20% of the final mark (12% for CS686). 9 0. To indicate that you would like some help, please respond to the conversation and I will initiate a video call with you. 0598 Pr(fraudjfp;:ip;crp;trav) = kf 2(fraud)f 3()f 6(fraud)f 7(fraud) = 0:0099 where k is a normalizing constant: k = 1 X Fraud f 2(Fraud) f 3() f 6(Fraud) f 7(Fraud) Question 2d Course Description: The design of automated systems capable of accomplishing complicated tasks is at the heart of computer science. Go to uwaterloo r/uwaterloo • by imunexperienced Corona Survivor '20 CS 486, seriously So this isn't related to the 'cutie' talk or the 'omg-I-found-asian-boy-please-notice-me-senpai' talk, but is it just me or are these assignments for 486 really time consuming? Old posts from this subreddit said the course was easy, a few friends that CS 486/686 Assignment 4 (84 marks in total) Instructor: Alice Gao Due Date: 6:00 pm on Tuesday, July 30, 2019 Instructions – Atrisha Sarkar (a9sarkar@uwaterloo. , the student may need to find a group before they can enroll). Smola, Dive into Deep Learning (forthcoming) [SutBar] 2nd edition of Reinforcement There will be four assignments, each worth 10% of the final mark for undergraduate students and 7% of the final grade for graduate students. 1 0 l ~i 0 0 1 ~l ~i 0 0 1 Rep: good,bad,none b l -600 b ~l 1000 ~b l -300 ~b~l -300 Utility-50 if inspect l ~l 0. 1:00-2:00 Thursdays DC 3117; 11:00-12:00 Tuesdays DC 3117; Schedule Word PDF Every student enrolled in the course should be automatically added to the CS 486/686 - Fall 2023 Team. My teaching philosophy is that you have to do lots of work to learn the materials. Winter 2019; CS 486/686. Quizzes: 15%; Assignments: 25%; Final: 40%; Project: 20%; Students must have a mark of 50% or better on the final exam to pass the course. Clicker Marks. I had previously taken those two, and kinda just coasted through the first half of the course since it was mostly all review. Poupart & K. ca Blake Vanberlo bvanberl@uwaterloo. ca) For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Thursday, February CS 486/686: Intro. ca Ji Xin j9xin@uwaterloo. Wanxin Li (w328li) Xinda Li (x556li) Alister Liao (z6liao) Paulo Pacheco (ppacheco) Charupriya Sharma (c9sharma) Blake Vanberlo (bvanberl) The tentative CS graduate level course schedule for the next term is posted on the CS current course offerings page, in which 600-level courses are open to undergraduate students as 400-level courses. 5. CS 343. Site menu: Home; Schedule; Project; Schedule (Subject to Change) Wednesday, September 4: Topic: Introduction Handouts: Lecture Notes. Unofficial student and alumni-run subreddit for the University of Waterloo community Members similar to how CS 240 and CS 341 are set up. Example CS 486/686 F23 27 Lemon Report Inspect Buy U g b n l i 0. Winter 2016 CS 486/686: Introduction to AI. Introduction •So far almost everything we have looked at has been in a single-agent setting •Today -Multiagent Decision Making! •For participants to act optimally, they must account for how others are going to act For CS 486, the assignments are worth 30% (each is worth 7. Private Piazza Public Piazza posts (can be anonymous) are the preferred method for questions about course material, etc. CS 475 also helped. Studying Cs 486 Intro Artificial Intelligence at University of Waterloo? On Studocu you will find 25 lecture notes, mandatory assignments, summaries, practice. I didn't take 480 but I took 489, Special Topics in CS (Machine Learning). Ask AI. 5-hour in-class sessions per week. CS 486/686: Introduction to Artificial Intelligence Search. L1: Intro to AI and CS 486/686 Videos Slides (Intro) Slides (Definitions of AI) Notes. Generalization: underfitting, overfitting, cross-validation. Home (current) Lectures; Assignments; Project; Grading; Email: a23gao@uwaterloo. CS @uwaterloo social directory. The topics in CS 486 can easily be applied to things like path finding for robots and making AI for video games, while CS 480 is more directly applicable to CS 486/686 F23 20. This course introduces object-oriented Kate Larson (klarson @ uwaterloo. Chanheium Cho (c5cho @ uwaterloo. ca address. 5, 12. The project is required for all students enrolled in CS686 and is optional for undergraduate students enrolled in CS486. Anup Deshmukh (aa2deshm) Niki Hasrati (nhasrati) Josh Jung (j35jung) Wanxin Li (w328li) Xinda Li (x556li) Kelechi Ogueji (kjogueji) Paulo Pacheco (ppacheco) Ethan Ward (e7ward) Ji Xin (j9xin CS 486/686: Introduction to Artificial Intelligence Introduction. , CS 346, 445, 446, 449, 493, and 494). ca) Ehsan Ganjidoost 3 CS486/686 Lecture Slides (c) 2012 C. we recommend that students search for a previous Course Outline on the University's outline repository. Assessments. Every student enrolled in the course should be automatically added to the CS 486/686 - Fall 2023 Team. r/uwaterloo. WHERE THERE’S Go to uwaterloo r/uwaterloo. Alice Gao; Email: a23gao@uwaterloo. Larson and P. Instead, the program used a convolutional neural network to represent the CS 486/686 F23 20. Fall 2019; CS 486/686. e. See section4for some tips on nding a project topic. 5 hours worth 40% of the final mark (35% for CS686). People. 8. The AccessAbility Services Office (AAS), located in Needles Hall, Room 1401, collaborates with all academic departments to arrange appropriate accommodations for students with disabilities without compromising the academic integrity of CS 343 and CS 486 both tied up in first place. Abstractly, automated systems can be viewed as taking inputs and producing outputs towards the realization of some objectives. UWaterloo - Introduction to Artificial Intelligence jhoey@cs. 2 2 quizzes. It's a more natural extension of 341, compared to 480 kinda including poor man's subparts in lin alg, linear models, and probability. Boutilier, P. We will aim to folow the first two parts of the textbook (see below). @uwaterloo social directory. I think this course was the 4th time I learned about how Course Description: The design of automated systems capable of accomplishing complicated tasks is at the heart of computer science. Lecture. Tasks: Schedule of Classes Your selection was: Level: Undergraduate , Term: 1245 , Subject: CS , Course Number: 486 Studying Cs 486 Intro Artificial Intelligence at University of Waterloo? On Studocu you will find 25 lecture notes, mandatory assignments, summaries, practice. Readings: R and N: Chapters 1 and 2 P and M: Chapter 1 Monday, September 9: Topic: Uninformed Search CS 486/686: Intro to AI Lecturer: Wenhu Chen Slides: Alice Gao / Blake Vanberlo 1 / 81. Share Add a Comment. Site menu: Home; Schedule; Project; Schedule (Subject to Change) Monday, September 11: Topic: Introduction Handouts: Lecture Notes. 5 0. Evaluating Performance of a Supervised Learning Algorithm •Suppose Y is a feature and e is an example Kate Larson (klarson @ uwaterloo. Outline Reasoning under uncertainty over time Hidden Markov Models Dynamic Bayes Nets 2. All the assignments are due at 6 pm on LEARN. Readings: R and N: Chapters 1 and 2 P and M: Chapter 1 Wednesday, September 13: Topic: Uninformed Search CS 486. CO 487. Since some students might be in different timezones, there are no CS 486/686. 2 points for responding per question; 1 point for the correct response per question; Retain best 75% of the clicker marks; Quizzes. (although this slightly misses the fact that the other part of science is finding evidence to disprove the speculation, so might For more detailed information about how a course is delivered, including textbooks, assessments, grading scheme, etc. Larson 5 Preferences •A preference ordering≽is a ranking of all possible states of affairs (worlds) S CS 486/686: Introduction to AI. ca) – Ronghao (Steve) Yang (r39yang@uwaterloo. Home (current) Schedule; Assignments; Project; Instructor. Choose leaf node for expansion, according to search strategy Arash Mollajafari Sohi (amollaja [at] uwaterloo [dot] ca) Gordon Zhang (g39zhang [at] uwaterloo [dot] ca) Course format: To reduce the spread of COVID-19, the course will be delivered online in an asynchronous way. CS 480 | 484 | 485 | 486 | 489 Jesse Hoey DC3613 jhoey@uwaterloo. 4. ECE 486 Robot Dynamics and Control. ) CS 486/686 Introduction to Artificial Intelligence Personnel; Grading; Schedule; Assignments; Project; Resources; Instructor. WHERE THERE’S A CHALLENGE, WATERLOO IS CS 486/686: Introduction to Artificial Intelligence 1. CS 486/686: Introduction to AI. Poupart 6 Probability to the rescue • For many years AI danced around the fact that the world is an uncertain place Winter 2016 CS 486/686: Introduction to AI. 1-17. Motivation: Things you know •Agents model uncertainty in the world and utility of different courses of actions-Bayes nets are models of probability distributions which involve a graph structure annotated with probabilities CS486/686 Lecture Slides (c) 2009 K. Students can then help each other and instructors can read/reply. Assignments will be posted on Learn. Office Hours are as follows: The course will consist of two 1. jhoey@cs. Cambridge University Press, (1st edition: 2010, 2nd edition: 2017). wavelab. Schedule: Tuesday and Thursday, 4:00-5:20 Room: MC 4045 Instructor: Kate Larson CS486/686 Fall2021 Assignment3 compass directions. . CS 886: Recent Advances on Foundation Models Winter 2024. Lectures will take place once per week as follows Davis Center 2585 every Wednesday from 12:00 PM - 2:50 PM; Session 1: 12:00PM - 1 CS480/680: INTRODUCTION TO MACHINE LEARNING, Winter 2024, University of Waterloo Overview. Poupart 1 Local Search CS 486/686 University of Waterloo Sept 29, 2009 CS 486/686 Assignment 2 (126 marks in total) Instructor: Alice Gao Due Date: 6:00 pm on Tuesday, June 25 2019 Instructions – Ji Xin (j9xin@uwaterloo. • Complete the Introduction, Related Work, and Methodology sections of the project report. I wouldn’t say that CS 486 is a bird course. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario Canada N2L 3G1 Phone: 519-888-4567 ext. 1: Q1a,1b,1c,correctedthelexicographicalorderexampletobe(O0;O1;O2 CS486/686 Lecture Slides (c) 2005 K. CS 486/686: Intro. Aravind Balakrishnan (a4balakr@uwaterloo. 16 16 students. Poupart 6 Probability to the rescue • For many years AI danced around the fact that the world is an uncertain place Computer Science Department The University of Waterloo Canada CS 484/684 --- Computational Vision Syllabus: January 2025 General Description. Wenhu Chen, (wenhuchen [at] uwaterloo [dot] ca) TAs: Cong Wei (cong. Poupart 1 CS 486/686 Artificial Intelligence Sept 15th, 2009 University of Waterloo For CS 486 students, please cite at least 5-7 research papers. Required for graduate students enrolled in CS686 and optional for undergraduate students enrolled in CS486 ; Pick an application domain that interests you CS 486/686: Introduction to Artificial Intelligence Introduction. 128. Wed, Sep 8. Prepare your exam. ] CS 486 LAB,LEC,TST 0. The section references below are to the 2nd edition. Approximately 1 quiz per week; Each quiz is Fall 2013 CS 486/686: Intro. 1/ 11 Lecture 1 - CS486 Introduction Jesse Hoey School of Computer Science University of Waterloo May 4, 2022 Readings:Poole & Mackworth 1. Schedule: Wed and Fri (Sec 1 2:30-3:50, Sec 2 4:00-5:20) Room: MC 2035 Instructor: Kate Larson CS486/686 Lecture Slides (c) 2014 P. We will be holding special office hours at the following times Tuesday, December 3, 10-11 in DC 2306C (Hadi) §Suppose we build the BN for distribution P using the opposite ordering §i. For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Wednesday, October 18, 2017 at 7:00-8:50 pm in M3 1006 and MC 4044) Final Exam: 45% (Monday, December 18, 2017 from 9:00am-11:30am in M3 1006) Project (Optional): Up to 5 bonus marks CS486/CS686 Course Project. Assignments are done individually (i. , policies) Chills Fever BloodTst BT #$%&’($)&’* Kate Larson (klarson @ uwaterloo. r/uwaterloo I really liked it but i can understand it's not for everyone. If you email an instructor or a teaching assistant then you must use your uwaterloo. Anup Deshmukh (aa2deshm) Niki Hasrati (nhasrati) Josh Jung (j35jung) Wanxin Li (w328li) Xinda Li (x556li) Kelechi Ogueji (kjogueji) Paulo Pacheco (ppacheco) Ethan Ward (e7ward) Ji Xin (j9xin CS 486/686: Introduction to Artificial Intelligence Assignment 3 3. Logic and Computation. Supervised Learning Xi f(X)=Y Goal: Return a function h that approximates f(x) h is the hypothesis CS 486/686 F23 21. Alister Liao (alister. Lipton, Mu Li, Alex J. ca Kyle Tilbury ktilbury@uwaterloo. 1, 12. Was wondering what the course load and difficulty of the midterms and exams were like. ca 1 Definition A Markov Decision Process (MDP) is a probabilistic temporal model of an agent interacting with its environment. ca; Office: DC 3117; Office Hours: 12:30 pm to 2:00 pm on Tuesdays and Thursdays; TAs. Computer Vision encompasses a variety of innovative methods and algorithms leveraged in applications such as facial recognition, image searching, augmented reality, medical image analysis, automated mapping of environments, CS 486/686 Assignment 3 (175 marks in total) Instructor: Alice Gao Due Date: 6:00 pm on Thursday, July 11, 2019 Instructions – Kaiwen Wu (k77wu@uwaterloo. Reinforcement Learning Wenhu Chen Lecture 15 Readings: RN 22. hachisuka@uwaterloo. Introduction Standard search CS 251E may be substituted for CS 251 wherever the latter is a requirement. r/uwaterloo CS 486. r/uwaterloo If you've taken courses like CS 486/CS 480, you might not get that much out of this course. ca Dake Zhang d346zhan@uwaterloo. Following the structure of the book, the first part of the course will be devoted to the general theory of machine learning, and in the second part we will go over some basic algorithms that are common in ML and explain the theory underlying them. CS 486. The midterm is scheduled on Friday June 23, 4:30 pm - 5:50 pm. 5%). wei [at] uwaterloo [dot] ca) Timetable. 2 points for responding per question; 1 point for the correct response per question; Retain best 75% of the Schedule (Subject to Change) Wednesday, January 6: Topic: Introduction Handouts: Lecture Notes Readings: R and N: Chapters 1 and 2 P and M: Chapter 1 Friday, January 8: Go to uwaterloo r/uwaterloo. Date. Larson 1 Lecture 10 Utility Theory October 15, 2009 CS 486/686 Winter 2016 CS 486/686: Introduction to AI. Shi CS 686 002 [LEC] Tue, Thu Sep 4 - Dec 3 02 cs486/686 Lecture Slides (c) 2006 K. At each time step, the robot receives a sensor reading, which is an integerin[0;15]. ca; TAs. Pick an application domain that interests you. ca, office hour: every Tuesday 5:20pm-6:20pm, MC 2054) ; Yaoliang Yu (yaoliang. uwaterloo. Site menu: Home; Schedule; Project; Schedule (Subject to Change) Notice. Sort by: Best. • Determine Pareto optimal outcomes of a 2-player normal form game. Introduction Standard search UWaterloo - Introduction to Artificial Intelligence (Spring 2017) All answers (code & written responses) of these assignments are written by Chen Lang. CS 370. There will also be a final exam of 2. Introduction to Artificial Intelligence. You must use the template posted on Learn. Course ID: 004435. Evaluation For students registered in CS 486 4 Technical Assignments: 28%; 3 Tutorial Assignments: 15% ; Midterm: 12% (Wednesday, October 23, 2017 at 19:00-20:50 in RCH 301/302/308) This is a tentative schedule only. [RN3] 3rd edition of Artificial Intelligence: A Modern Approach by Russell and Norvig [P] 2nd edition of Causality: Models, Reasoning and Inference by Pearl [ZLLS] Aston Zhang, Zack C. This course introduces students to the fundamental problems of artificial intelligence and the basic models CS 480 | 484 | 485 | 486 | 489. Introduction So far we have assumed The world does not change Static probability distribution Generic Search Algorithm 1. The probability of an accident on the long, safe route is 0:01. Both are very interesting courses, exploring niche aspects of computer science! CS 246 is the third most popular CS course for the class of 2022. Offered to undergraduate students as CS486 and graduate students as CS686. ca) For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Thursday, February Home page for CS 886. For students registered in CS 486 5 Assignments: 40%; Midterm: 15% (Wednesday, October 18, 2017 at 7:00-8:50 pm in M3 1006 and MC 4044) Final Exam: 45% (Monday, December 18, 2017 from 9:00am-11:30am in M3 1006) Project (Optional): Up to 5 bonus marks CS 486/686 Assignment 1 (123 marks) AliceGao DueDate: 11:59pmonWednesday,October6,2021 Changes • Q1b: Updatedthetwoexamplesoftheheuristicfunction. num_label_values (avoidcounting“class”as Kate Larson (klarson @ uwaterloo. Spring 2020; CS 245. April 18, 7:30-10:00 pm in M3 1006. Home (current) Schedule; Assignments; a23gao@uwaterloo. ca Office Hours The course note of cs486/686 Lecture Slides (c) 2008 K. Reasoning Under UncertaintyReasoning Under Uncertainty CS486/686 Spring 2023 -Lecture 1 -Pascal Poupart PAGE 18 CS 486/686 F23 21 CoBots, CORAL at Go to uwaterloo r/uwaterloo. liao@uwaterloo. yu@uwaterloo. ca 9/ 48 Constraints Constraints: Can be N-ary(over sets of N variables - e. The shortcut crosses a busy road on which the robot gets into an accident with probability 0:2. David R. Poupart 10 Topics we will cover •Search –Uninformed and heuristic search –Constraint satisfaction problems CS 486/686: Introduction to AI. ca: Course Description: This course introduces students to the fundamental problems of artificial intelligence and the basic models and algorithms used to tackle these problems. CS 486/686 Introduction to Artificial Intelligence Hidden Markov Models CS486/686 1. CS 486/686 - K Larson - F2007 16 Types of RL • Model based vs Model free – Model based: Learn the model and use it to determine optimal policy – Model free: Derive optimal policy without learning the model • Passive vs Active learning – Passive learning: Agent observes world and tries to determine the value of being in different states If you email an instructor or a teaching assistant then you must you your uwaterloo. CS 485 Statistical and Computational Foundations of Machine Learning; CS 486 Introduction to Artificial Intelligence. Home (current) Schedule; Assignments; Project; Schedule Learning goals. Evaluation For students registered in CS 486 4 Technical Assignments: 28%; 3 Tutorial Assignments: 15% ; Midterm: 12% (Wednesday, October 23, 2017 at 19:00-20:50 in RCH 301/302/308) CS 486/686 Introduction to Artificial Intelligence (May - Aug 2021) Toggle navigation. ca) Office Hours: Mondays 2:30-3:300pm in DC 2518; Teaching Assistants. Shi CS 686 001 [LEC] Tue, Thu Sep 4 - Dec 3 04:00PM - 05:20PM RCH 112 H. ca Teaching Assistants Xiang Fang x2fang@uwaterloo. Open comment sort options CS 486/686 Assignment 2 (128 marks) AliceGao DueDate: 11:59pmETonWednesday,June30,2021 Changes • v1. 1: dt_provided. WHERE THERE’S A CHALLENGE, CS 486/686 F23 26. Students examine frontier areas of computer science and gain knowledge that will allow them to further their studies in artificial intelligence. ca, office hour: every Tuesday 5:20pm-6:20pm, MC 2054) . Schedule: Wed and Fri (Sec 1 2:30-3:50, Sec 2 4:00-5:20) Room: MC 2035 Instructor: Kate Larson CS486/686 Lecture Slides (c) 2006 K. The course content will be delivered in a lecture format, with four assignments, a midterm, and Public Piazza posts (can be anonymous) are the preferred method for questions about course material, etc. Artifical Intelligence is going through a particularly exciting period right now and everyday there are new stories of research breakthroughs and new technology based on AI techniques. ca/~ppoupart CS 486/686 Lecture 1 a convolutional neural network. 33293 Fax: 519-885-1208 §Decision nodes §variables set by decision maker, denoted by squares §parents reflect information available at time decision is to be made §Example: the actual values of Ch and Fev will be observed before the decision to take test must be made §agent can make different decisions for each instantiation of parents (i. ca CS 486/686 Introduction to Artificial Intelligence 2 sections: 1:00-2:20 Mon/Wed MC 1056 2:30-3:50 Mon/Wed MC 1056 Instructor: Alice Gao (a23gao@uwaterloo. Enrolment is restricted. ca Fridays 2pm-330pm TA's Name Office Location Contact Office Hours Kelechi Ogueji kjogueji@uwaterloo. As the course progresses, the schedule will be adjusted. to Artificial Intelligence. A student wishing to enroll into one of these courses would need to contact the instructor first and meet their conditions for enrollment (e. ca) Office hours: Thursday, May 23 10 am to 12 pm in DC 2580; Thursday, May 30 10 am to 12 pm in DC 2580; CS 486/686 2. ca) Frederic Bouchard (fbouchar@uwaterloo. 3. It consists of the following: a set of states, S, a set of actions A, a transition function T(s;a;s0), a reward function R(s), a discount factor . dcxbacupupqcpcolsizhxtyntsnjplziwjtijfqedkjqq