Classroom Policies Grading Grades in Blackboard Be courteous to - PowerPoint PPT Presentation

8/31/17 Course Staff Artificial Intelligence Class 1: Course Overview • Professor: Dr. M • cmat@umbc.edu • ITE 331 • Office hours: M 11-12, W 9:15-10:15, or by appointment • TA: Nikhil Mengani, • mnikhil1@umbc.edu • ITE 353H Dr Cynthia Matuszek (Dr M) cmat@umbc.edu • Office hours: TBD Slides adapted with thanks from: Dr. Marie desJardin 2 My Research Today: Intro & Overview • Robotics • Review of syllabus and schedule • How can we go from industrial robots to useful robots in • Academic honesty human environments? (Schools, cars, homes…) • Expectations • Natural Language Processing • How can computers learn to understand and speak human • Brief history of AI languages (English)? • What is AI? (and why is it so cool?) • Artificial intelligence • What’s the state of AI now? • How to get computers to behave in ways that we would From handout: consider to be “intelligent” • Topics we’ll cover http://tiny.cc/ai-schedule http://tiny.cc/ai-class • Human-Robot Interaction (HRI) • What is ‘intelligence’? http://tiny.cc/ai-piazza 3 4 1

8/31/17 Classroom Policies Grading • Grades in Blackboard • Be courteous to classmates and instructors. Class participation 5% • Know your grades Midterm 15% • No devices in use except when specified. but also Homework 30% • Keep track of what’s left • You don’t learn as much. Quizzes and surveys 5% • Grade questions: • People around you don’t learn as much. Project 25% • 24-hour “cooling” period • http://tiny.cc/devices-in-class Final exam 20% • No food or drink in this classroom. • Grade changes/regrades: Pop quiz: Can Dr M add? • Requests to professor and TA • Water is fine. • TA cannot change grades! 5 6 Participation ~6 Homework Assignments • Attend class. • Written, problem set, and programming • Due at 11:59pm the day before class • Speak up. • Late: 25% off /day • Answer questions • Assignments will be turned in electronically • Ask questions • Blackboard / online forms / email • Tell us your thoughts • Assignment will specify • There are lots of opportunities to talk here! • 10% penalty for not following turn-in instructions • Be active on Piazza. • Example: Wrong file type • Ask and answer questions. • Questions? Piazza, then TA • Post links to interesting material. 7 8 2

8/31/17 Time Management Reading • Some things can be rescheduled • Pre-readings: Do these before that class • E.g., overlapping exams • It will be hard to follow if you don’t • Readings: Do these after class • Individual extensions may be given: • More detail on concepts 1. With reasonable cause 2. When made in advance • Please talk to me! 9 10 Academic Integrity Academic Integrity Policy • “By enrolling in this course, each student assumes the • Instructor’s responsibilities: responsibilities of an active participant in UMBC’s • Be respectful scholarly community, in which everyone’s academic • Be fair work and behavior are held to the highest standards • Be available of honesty. Cheating, fabrication, plagiarism, and • Tell the students what they need to know and how they helping others to commit these acts are all forms will be graded of academic dishonesty, and they are wrong. Academic misconduct could result in disciplinary • Students’ responsibilities: action that may include, but is not limited to, • Be respectful suspension or dismissal.” • Do not cheat, plagiarize, or lie, or help anyone else do so • Do not interfere with other students’ academic activities [Statement adopted by UMBC’s Undergraduate Council and Provost’s OfFice] 11 12 3

8/31/17 Integrity: Plagiarism Integrity: Plagiarism • More Examples • Representing someone else’s work as • The introduction and background material are your own is plagiarism. borrowed; all of the research is original. • What if the reference is in the bibliography? • If somebody else’s words appear in any document that • If you didn’t explicitly quote the text you used and you claim is written by you, it is plagiarism. cite the source where you used the text, it is • It was a draft or not an official assignment plagiarism. • If you represented somebody else’s words as your own, • What if I only use some of the words? even in an informal context, it is plagiarism. • “But the professor told me to use that source!” • Scattering some of your own words and rephrasing isn’t enough. If the ideas are not restated entirely in • Unless you are explicitly told to copy a quote from a source, you must write your answers in your own words. your own words, it is plagiarism. 13 14 Integrity: Abetting Integrity: What To Do • You can always bring it to me • This includes putting someone’s name on something when they didn’t work on it. • Cheating from you / in your group / etc: • “This is just everyone on our team” is wrong. • You may talk to them about it • Know what your project partners are doing. • Unless it’s too late (it’s been turned in, the test is over) • Their cheating can hurt you. • Then you are abetting unless you report • Some people may get sneakier instead of improving • Helping another student to cheat, falsify, or plagiarize will result in you receiving the same • You do not have to talk to anyone but me penalty . 15 16 4

8/31/17 Integrity: Penalties About Groupwork • Penalties depend on the offense and whether it recurs • Study groups are encouraged! • Talking about the homework is completely acceptable • The minimum penalties are: • Don’t share code • Receiving a zero on an assignment • Programming must be done individually • Being required to redo the assignment, without credit, in order to pass the class • Programs must be written entirely by you • Copying another person’s code is never acceptable • Additional penalties may include: • You can help debug • Receiving a full grade reduction in the class • Failing the class without possibility of dropping it • Some homework is for 2-3 students working together • Suspension or expulsion from the university • The assignment will say so; otherwise, it’s individual. 17 18 Availability & Communication Schedule • Post all questions to Piazza (unless it violates integrity) • You will check this pretty much every class • We will try to respond to Piazza posts immediately • Email takes 24-48 hours • Always send email to professor and TA • Piazza, then TA, then prof+TA • Office hours • Drop by when my door is open • If I’m busy (often), we’ll make an appointment • I will remain after class when I can 19 20 5

8/31/17 Artificial Intelligence What is AI? • Key types • Strong AI: mental/thought capabilities equal to (or better than) human • Weak (bounded) AI: intelligent actions or reasoning in some limited situations • “Human-level” intelligence • In what situation? • Internally? • Self-awareness / Consciousness 21 22 Intelligence AI: A Vision • These are problematic. • Could an intelligent agent living on your home computer… • How do we measure it? • Manage your email • What’s an ‘intelligent action’? • Coordinate your work and social activities • In practice, ‘previously human only’ • Help plan your vacations • Is there something ineffable missing? • Watch your house while you take those vacations? • What? • How do we test? 23 24 6

8/31/17 Main Goals of AI Why AI? • Engineering • Represent and store knowledge • To get machines to do a wider variety of useful things • Retrieve and reason about knowledge • Understand spoken natural language • Recognize individual people in visual scenes • Find the best travel plan for your vacation • Behave intelligently in complex environments • Cognitive Science • Help understand how natural minds work • Learn from environment and interactions • Visual perception, memory, learning, language, etc. • Philosophy • Develop interesting and useful applications • As a way to explore interesting (and important) philosophical questions • Interact with people, agents, and environment 25 26 Foundations of AI “AI hasn’t accomplished anything” Computer Computer Science & Science & • 1997: Deep Blue beats Garry Kasparov (world champion) Engineering Engineering Mat Mathemat hematics ics Philosophy Philosophy • 1998: Founding of Google • 2000: Consumer robots vacuum while autonomously navigating AI AI and avoiding obstacles Biology Biology Economics Economics • 2004: First DARPA Grand Challenge robot race • 2007: Checkers is solved • 2011: An AI named Watson beats the top Jeopardy! champions • 2016: AlphaGo beats world champion at the game Go Psychology Psychology Linguist Linguistics ics Cognit Cognitive ive • 2016: Self-driving car brings man with blood clot to hospital Science Science 28 7