{"id":291,"date":"2019-10-27T09:53:34","date_gmt":"2019-10-27T13:53:34","guid":{"rendered":"https:\/\/www.notexponential.com\/notes\/?page_id=291"},"modified":"2026-01-11T07:45:45","modified_gmt":"2026-01-11T12:45:45","slug":"artificial-intelligence-6511-syllabus","status":"publish","type":"page","link":"https:\/\/www.notexponential.com\/notes\/artificial-intelligence\/artificial-intelligence-6511-syllabus\/","title":{"rendered":"Artificial Intelligence &#8211; 6511 &#8211; Syllabus"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Instructor and Contact<\/h1>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Name:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Amrinder Arora<\/li>\n\n\n\n<li>Office hours:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Tuesday, 4:00-6:00 PM or By Appointment <\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">Course Information<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Course: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Department of Computer Science, Artificial Intelligence<\/li>\n\n\n\n<li>Credits: &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Bulletin Course Description<\/h2>\n\n\n\n<p>Representation and space search; heuristic\nsearch; predicate calculus; knowledge representation and knowledge engineering\nfor expert systems; rule-based, hybrid, and O-O systems; semantic nets, frames,\nand natural language; theorem provers; planning, learning, neural nets; use of\nAI languages.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Prerequisites<\/h2>\n\n\n\n<p>CSCI 6212<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Learning Outcomes<\/h2>\n\n\n\n<p>As a result of completing this course, students will be able to:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Analyze given software programs (in\nform of pseudocode) to compute the time complexity<\/li>\n\n\n\n<li>Apply basic concepts in mathematics to evaluate given software\nprograms<\/li>\n\n\n\n<li>Design and synthesize algorithms for given problems using\nstandard algorithm design techniques and their combinations<\/li>\n\n\n\n<li>Understand\napplications of discrete math, algebra and number theory concepts to problems\nin computing.<\/li>\n\n\n\n<li>Apply knowledge of software engineering to design and\nimplement software programs<\/li>\n<\/ol>\n\n\n\n<p><em>Note: here is the list of student outcomes:<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; a&nbsp;&nbsp;&nbsp;&nbsp; an ability to apply knowledge of mathematics, science and engineering<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; b&nbsp;&nbsp;&nbsp;&nbsp; an ability to design and conduct experiments, as well as to analyze and interpret<br>data<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; c&nbsp;&nbsp;&nbsp;&nbsp; an ability to design a system, component, or process to meet desired needs within<br>realistic constraints such as economic, environmental, social, political,<br>ethical, health and safety, manufacturability, and sustainability<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; d&nbsp;&nbsp;&nbsp;&nbsp; an ability to function on multidisciplinary teams<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; e&nbsp;&nbsp;&nbsp;&nbsp; an ability to identify, formulate, and solve engineering problems<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; f&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; an understanding of professional and ethical responsibility<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; g&nbsp;&nbsp;&nbsp;&nbsp; an ability to communicate effectively (3g1 orally, 3g2 written)<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; h&nbsp;&nbsp;&nbsp;&nbsp; the broad education necessary to understand the impact of engineering solutions in<br>a global, economic, environmental, and societal context<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; i&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; a recognition of the need for, and an ability to engage in life-long learning<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; j&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; a knowledge of contemporary issues<\/em><\/p>\n\n\n\n<p><em>&nbsp;&nbsp;&nbsp;&nbsp; k&nbsp;&nbsp;&nbsp;&nbsp; an ability to use the techniques, skills, and modern engineering tools necessary<br>for engineering practice.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Videos<\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-4-3 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Performance Measures, Environment, Actuators and Sensors\" width=\"625\" height=\"469\" src=\"https:\/\/www.youtube.com\/embed\/VFzUHXqAvO4?list=PLALqZ3T7NlSp8UPnN6wXaZH93qfAK6hMS\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Class Schedule [week-by-week, Tentative]<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>\n  Date\n  <\/td><td>\n  Topic(s) and readings\n  <\/td><td>\n  Assignment(s) Due\n  <\/td><\/tr><tr><td>   Lecture 1  <\/td><td>\n  Introduction\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 2<\/td><td>\n  Uninformed Search\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 3 <\/td><td>\n  Informed Search\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 4   <\/td><td>\n  Constraint Satisfaction\n  Problem I\n  <\/td><td>\n  Project 1 \n  <\/td><\/tr><tr><td>   Lecture 5 <\/td><td>\n  Constraint Satisfaction\n  Problem II\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 6<\/td><td>\n  Adversarial Search\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 7<\/td><td>\n  Uncertainty and\n  Utilities\n  <\/td><td>\n  Project 2\n  <\/td><\/tr><tr><td>   Lecture 8<\/td><td>\n  Markov Decision Processes I\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 9<\/td><td>\n  Spring Break\/No Class\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 10<\/td><td>\n  Midterm\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 11 <\/td><td>\n  Markov Decision Processes II\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 12<\/td><td>\n  Reinforcement Learning\n  <\/td><td>\n  Project 3\n  <\/td><\/tr><tr><td>   Lecture 13<\/td><td>\n  Probability and Markov\n  Models\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 14<\/td><td>\n  Hidden Markov Models and\n  Particle Filters and Applications of HMMs\n  <\/td><td>\n  &nbsp;\n  <\/td><\/tr><tr><td>   Lecture 15<\/td><td>\n  Bayes\u2019 Nets, Decision Networks, Value of Perfect\n  Information\n  <\/td><td>\n  Project 4\n  <\/td><\/tr><tr><td>\n  <strong><em>Surprise quizzes\n  can happen during any lecture<\/em><\/strong>\n  <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h1 class=\"wp-block-heading\">Independent Learning Statement<\/h1>\n\n\n\n<p><strong>Average minimum amount of out-of-class or independent learning expected per week:<\/strong> The course includes 2.5 hours of direct instruction, and students are expected to spend a minimum of 5 hours of out-of-class independent learning, totaling a minimum of 7.5 hours per week.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Assignments and Grades<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">Grading<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Midterm Group Presentation: 15%<\/li>\n\n\n\n<li>4 Projects: 40%<\/li>\n\n\n\n<li>Final Group Presentation: 15%<\/li>\n\n\n\n<li>Class Participation: 20%<\/li>\n\n\n\n<li>Quizzes: 10%<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Assignments<\/h2>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><td>\n  Assignment\n  <\/td><td>\n  Total Points\/Course Weightage\n  <\/td><\/tr><tr><td>\n  Project 1\n  <\/td><td>10<\/td><\/tr><tr><td>\n  Project 2\n  <\/td><td>10 <\/td><\/tr><tr><td>\n  Project 3\n  <\/td><td>10 <\/td><\/tr><tr><td>\n  Project 4\n  <\/td><td>10 <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Participation<\/h2>\n\n\n\n<p>Participation carries significant weight in this class. Participation is evaluated weekly, not per comment. Quality, relevance, and engagement matter more than frequency. You can participate verbally, via Slack, or through in-class activities.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Use of AI Tools<\/h1>\n\n\n\n<p>This course evaluates <strong>how you think, explain, and engage<\/strong>, not just the final answer. AI tools are permitted where stated, but unreflective use will not earn credit. Use of AI tools where it is specifically disallowed will lead to strict academic integrity procedures.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">University Policies <\/h1>\n\n\n\n<h3 class=\"wp-block-heading\">University Policy on Religious Holidays<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Students should notify faculty during the first week of the semester of their intention to be      absent from class on their day(s) of religious observance. <\/li>\n\n\n\n<li>Faculty should extend to these students the courtesy of absence without penalty on such occasions,      including permission to make up examinations. <\/li>\n\n\n\n<li>Faculty who intend to observe a religious holiday should arrange at the beginning of the      semester to reschedule missed classes or to make other provisions for      their course-related activities<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Support for Students Outside the Classroom<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Disability Support Services (DSS)<\/h3>\n\n\n\n<p>Any student who may need an\naccommodation based on the potential impact of a disability should contact the\nDisability Support Services office at&nbsp;202-994-8250&nbsp;in the Rome Hall,\nSuite 102, to establish eligibility and to coordinate reasonable\naccommodations. For additional information please refer to:&nbsp;<a href=\"http:\/\/gwired.gwu.edu\/dss\/\" target=\"_blank\" rel=\"noreferrer noopener\">gwired.gwu.edu\/dss\/<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mental Health Services 202-994-5300\u200b&nbsp;&nbsp;&nbsp;&nbsp; <\/h3>\n\n\n\n<p>The University&#8217;s\u200b \u200bMental Health\nServices offers 24\/7 assistance and referral to address students&#8217; personal,\nsocial, career, and study skills problems. Services for students include: crisis\nand emergency mental health consultations confidential assessment, counseling\nservices (individual and small group), and referrals.&nbsp; <a href=\"http:\/\/counselingcenter.gwu.edu\/\" target=\"_blank\" rel=\"noreferrer noopener\">counselingcenter.gwu.edu\/<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Academic Integrity Code<\/h2>\n\n\n\n<p>Academic<br>dishonesty is defined as cheating of any kind, including misrepresenting one&#8217;s<br>own work, taking credit for the work of others without crediting them and<br>without appropriate authorization, and the fabrication of information. For the<br>remainder of the code, see: <a href=\"http:\/\/studentconduct.gwu.edu\/code-academic-integrity\">studentconduct.gwu.edu\/code-academic-integrity<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Instructor and Contact &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Course Information Bulletin Course Description Representation and space search; heuristic search; predicate calculus; knowledge representation and knowledge engineering for expert systems; rule-based, hybrid, and O-O systems; semantic nets, frames, and natural language; theorem provers; planning, learning, neural nets; use of AI languages. Prerequisites CSCI 6212 Learning Outcomes As a result of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":360,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-291","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/pages\/291","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/comments?post=291"}],"version-history":[{"count":11,"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/pages\/291\/revisions"}],"predecessor-version":[{"id":622,"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/pages\/291\/revisions\/622"}],"up":[{"embeddable":true,"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/pages\/360"}],"wp:attachment":[{"href":"https:\/\/www.notexponential.com\/notes\/wp-json\/wp\/v2\/media?parent=291"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}