{"id":1172,"date":"2017-01-26T11:53:59","date_gmt":"2017-01-26T11:53:59","guid":{"rendered":"http:\/\/sadievrenseker.com\/wp\/?p=1172"},"modified":"2017-01-26T11:54:27","modified_gmt":"2017-01-26T11:54:27","slug":"csc-290-introduction-to-artificial-intelligence-smith-college-department-of-computer-science-spring-2017","status":"publish","type":"post","link":"https:\/\/sadievrenseker.com\/?p=1172","title":{"rendered":"CSC 290 : Introduction to Artificial Intelligence, Smith College, Department of Computer Science, Spring 2017"},"content":{"rendered":"<p><strong>CSC290:\u00a0Introduction to Artificial Intelligence<\/strong><\/p>\n<p><strong>Classes:<\/strong> Monday &#8211; Wednesday\u00a02.40 &#8211; 4.00 pm<\/p>\n<p><strong>Location:<\/strong> Ford Hall\u00a0342<\/p>\n<p><strong>Instructor:<\/strong> Dr. \u015eadi Evren \u015eEKER (Office: Ford Hall 252)<\/p>\n<p><strong>Office Hours<\/strong><\/p>\n<ul>\n<li>Tuesday, 13.00 &#8211; 15.00<\/li>\n<li>Other times by appointment\/as available<\/li>\n<li>Lunch meetings available by request for small groups<\/li>\n<\/ul>\n<p><strong>E-Mail:<\/strong>\u00a0<a href=\"mailto:ai@sadievrenseker.com\">ai@sadievrenseker.com<\/a><\/p>\n<p><strong>Web Site:<\/strong>\u00a0<a href=\"http:\/\/sadievrenseker.com\/?p=1172\">http:\/\/sadievrenseker.com\/?p=1172<\/a><\/p>\n<p><strong>Course Content:<\/strong><\/p>\n<ul>\n<li>History and Philosophy of the Artificial Intelligence (AI)<\/li>\n<li>Classical AI approaches like search problems, machine learning, constraint satisfaction, graphical models, logic etc.<\/li>\n<li>Learning how to model a complex real-world problem by the classical AI approach<\/li>\n<\/ul>\n<p><strong>Objectives:<\/strong><\/p>\n<ul>\n<li>Introduction to Artificial Intelligence Problems<\/li>\n<li>Programming with a mathematical notation language (like a lisp variant, scheme)<\/li>\n<li>Writing a real world application with an AI module (like a game)<\/li>\n<li>Introducing sub-AI topics like neural computing, uncertainity and bayesian networks, concept of learning (supervised \/ unsupervised) etc.<\/li>\n<\/ul>\n<p><strong>Texts:<\/strong><\/p>\n<ul>\n<li>S. Russell and P. Norvig\u00a0<i>Artificial Intelligence: A Modern Approach\u00a0<\/i>Prentice Hall<\/li>\n<li>\u0097A must check :\u00a0<a href=\"http:\/\/aima.cs.berkeley.edu\">http<\/a><a href=\"http:\/\/aima.cs.berkeley.edu\">:\/\/<\/a><a href=\"http:\/\/aima.cs.berkeley.edu\">aima.cs.berkeley.edu<\/a><\/li>\n<li>Some parts of the course is related to Machine Learning, Data Science, Data Mining, Pattern Recognition, Natural Language Processing, Statistics, Logic, Artificial Neural Networks and Fuzzy Logic, so you can read any [text] books about the topics.<\/li>\n<\/ul>\n<p><strong>\u0097Grading:\u00a0<\/strong>Programming assignment \/ Homeworks (30%),\u00a0\u0097Midterm\u00a0Exam\u00a0(20%), Final Exam\u00a0(50%)<\/p>\n<p>\u0097Midterm and Final Exams\u00a0(take home for 24 hours)<\/p>\n<p><strong>Course Outline:<\/strong><\/p>\n<ul>\n<li>\u0097Introduction and Agents (chapters 1,2)<\/li>\n<li>\u0097Search (chapters 3,4,5,6)<\/li>\n<li>\u0097Logic (chapters 7,8,9)<\/li>\n<li>\u0097Planning (chapters 11,12)<\/li>\n<li>\u0097Uncertainty (chapters 13,14)<\/li>\n<li>\u0097Learning\u00a0(chapters 18,20)<\/li>\n<li>\u0097Natural Language\u00a0Processing\u00a0(chapter 22,23)<\/li>\n<\/ul>\n<p><strong>Schedule and Contents (Very Very Very Tentative):<\/strong><\/p>\n<ul>\n<li>Class\u00a01, Jan 30 : Introduction : Course Demonstration Slides, Introduction Slides<\/li>\n<li>Class 2, Feb 1:\u00a0Agents<\/li>\n<li>Class\u00a03, Feb 6: \u00a0Search<\/li>\n<li>Class 4, Feb 8: Introduction to Scheme 1, Search Homework 1 (Due Date: TBA)<\/li>\n<li>Class 5, Feb 13:\u00a0Heuristic Search<\/li>\n<li>Class 6, Feb 15: \u00a0Scheme Practice 2, Heuristic Homework 2\u00a0\u00a0(Due Date: TBA)<\/li>\n<li>Class 7, Feb 20:\u00a0Constraint Satisfaction Problems<\/li>\n<li>Class 8, Feb 22:\u00a0Scheme Practice 3, CSP Homework 3\u00a0\u00a0(Due Date: TBA)<\/li>\n<li>Class 9,\u00a0Feb 27: Game Playing<\/li>\n<li>Class 10, Mar 1: Scheme Practice 4, Game Homework 4\u00a0\u00a0(Due Date: TBA)<\/li>\n<li>Class 11, Mar 6: Midterm<\/li>\n<li>Class 12, Mar 8: Midterm Solutions<\/li>\n<li>Mar 13, 15: No Classes , Spring Recess<\/li>\n<li>Class 10, Mar 20: \u00a0Logic<\/li>\n<li>Class 11, Mar 22: First Order Logic<\/li>\n<li>Class 12, Mar 27: Inference in First Order Logic<\/li>\n<li>Class 13,\u00a0Mar 29: Scheme Practice 5, Logic Homework 5\u00a0\u00a0(Due Date: TBA)<\/li>\n<li>Class 14,\u00a0Apr 3: Uncertainity and Fuzzy Logic<\/li>\n<li>Class 15, Apr 5: Machine Learning and Problems<\/li>\n<li>Class 16, Apr 10: Supervised \/ Unsupervised Learning and Classification \/ Clustering Problems, k-nn and k-means<\/li>\n<li>Class 17, Apr 12:\u00a0Naive Bayes, Decision Trees, Rule Based Learning, Error Calculation<\/li>\n<li>Class 18, Apr 17: Scheme Practice 6, ML Homework 6\u00a0\u00a0(Due Date: TBA)<\/li>\n<li>Class 19, Apr 19: Prediction, Regression and Association Rule Mining<\/li>\n<li>Class 20, Apr 24: Artificial Neural Networks<\/li>\n<li>Class 21, Apr 26: Natural Language Processing<\/li>\n<li>Class 22, May 1: Final Exam<\/li>\n<li>Class 23, May 3: Final Exam Solutions<\/li>\n<\/ul>\n<p><b>Collaboration Policy<\/b>: You may freely use internet resources and your course notes in completing assignments and quizzes for this course. You\u00a0<b>may not consult any person<\/b>\u00a0other than the professor when completing quizzes or exams. (Clarifying questions should be directed to the professor.) On assignments you may collaborate with others in the course, so long as you personally prepare the materials submitted under your name, and they accurately reflect your understanding of the topic. Any collaborations should be indicated by a note submitted with the assignment.<\/p>\n<h2>Announcements<\/h2>\n<p><a href=\"http:\/\/www.sadievrenseker.com\/wp\/wp-content\/uploads\/2016\/09\/kc_htiw.docx\">Please fill the knowledge card attached here, and send it back via email.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>CSC290:\u00a0Introduction to Artificial Intelligence Classes: Monday &#8211; Wednesday\u00a02.40 &#8211; 4.00 pm Location: Ford Hall\u00a0342 Instructor: Dr. \u015eadi Evren \u015eEKER (Office: Ford Hall 252) Office Hours Tuesday, 13.00 &#8211; 15.00 Other times by appointment\/as available Lunch meetings available by request for small groups E-Mail:\u00a0ai@sadievrenseker.com Web Site:\u00a0http:\/\/sadievrenseker.com\/?p=1172 Course Content: History and Philosophy of the Artificial Intelligence (AI) Classical AI approaches like search &hellip; <a href=\"https:\/\/sadievrenseker.com\/?p=1172\">Continue Reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1172","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1172","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1172"}],"version-history":[{"count":3,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1172\/revisions"}],"predecessor-version":[{"id":1176,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=\/wp\/v2\/posts\/1172\/revisions\/1176"}],"wp:attachment":[{"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1172"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1172"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sadievrenseker.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1172"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}