{"id":1883,"date":"2020-01-10T16:31:46","date_gmt":"2020-01-10T21:31:46","guid":{"rendered":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/?page_id=1883"},"modified":"2020-12-09T16:50:25","modified_gmt":"2020-12-09T21:50:25","slug":"or705-syllabus","status":"publish","type":"page","link":"https:\/\/ise.ncsu.edu\/fuzzy-neural\/courses\/or705-large-scale-linear-programming\/or705-syllabus\/","title":{"rendered":"OR705 Syllabus"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">OR 705: Syllabus<\/h2>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Instructor<\/h3>\n\n\n\n<p>Professor S.-C. Fang (<a href=\"mailto:fang@ncsu.edu\">fang@ncsu.edu<\/a>)<\/p>\n\n\n\n<ul>\n<li><strong>Office<\/strong><br \/>4341 Fitts-Woolard Hall<br \/><a href=\"tel:9195152192\">919.515.2192<\/a><\/li>\n<li><strong>Office Hours<\/strong><br \/><strong>Rule 3<\/strong>: Office hours will be held through Google Meet.<\/li>\n<\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Teaching Assistant<\/h3>\n\n\n\n<p>TBA<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Prerequisite<\/strong> <\/h3>\n\n\n\n<ol>\n<li>Linear Programming (ISE\/MA\/OR 505 Equivalent)<\/li>\n<li>Programming using CPlex, Gurobi, CVX, SeDuMi on MATLAB or equivalent<\/li>\n<\/ol>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Course Objectives<\/h3>\n\n\n\n<p>This course intends to introduce the basic concepts and solution methods for solving linear programming problems with a large number of variables and\/or constraints. Simplex, interior-point, and unconstrained approaches to linear programming will be studied. Extensions of linear programming to semidefinite programming and second-order cone programming techniques will also be covered. <\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Course Syllabus<\/h3>\n\n\n\n<ol style=\"list-style-type: upper-roman\">\n<li>Introduction\n<ul>\n<li>Simplex Approach<\/li>\n<li>Interior Point Approach<\/li>\n<\/ul>\n<\/li>\n<li>Column Generation Method\n<ul>\n<li>Cutting Plane Method<\/li>\n<\/ul>\n<\/li>\n<li>Decomposition Principle\n<ul>\n<li>Dantzig-Wolfe Decomposition<\/li>\n<li>Benders Decomposition<\/li>\n<\/ul>\n<\/li>\n<li>Semi-infinite Linear Programming\n<ul>\n<li>Discretization Method<\/li>\n<li>Cutting Plane Method<\/li>\n<\/ul>\n<\/li>\n<li>Linear Conic Programming\n<ul>\n<li>Second-order Cone Programming<\/li>\n<li>Semi-definite Programming<\/li>\n<\/ul>\n<\/li>\n<li>Matrix Manipulation\n<ul>\n<li>Factorization<\/li>\n<li>Sparsity<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Grades<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>Homework \u2013 25%<\/li><li>Project \u2013 25%<\/li><li>Exam&nbsp;\u2013 50% <\/li><\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Evaluation Standard<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li>A \u2013 88 and above<\/li><li>B \u2013 75 to 87<\/li><li>C \u2013 60 to 74<\/li><li>Fail \u2013 under 60<\/li><\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Homework<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Rule 1:<\/strong>&nbsp;No late homework without the instructor&#8217;s pre-approval.<\/li><li><strong>Rule 2:<\/strong>&nbsp;Turn in your homework through email to <a href=\"mailto:fang@ncsu.edu\">fang@ncsu.edu<\/a>.<\/li><li>Weekly or biweekly<\/li><\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Exam<\/h3>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Rule 3:<\/strong>&nbsp;No make-up exam without instructor\u2019s pre-approval or an official \u201cdoctor\u2019s note\u201d. <\/li><li>Comprehensive, take-home.<\/li><\/ul>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Project<\/h3>\n\n\n\n<p>End-of-semester report and presentation.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">End-of-Semester Class Evaluation <\/h3>\n\n\n\n<p>Online class evaluations will be available for students to complete during the last two weeks of class. Students will receive an email message directing them to a website where they can log in using their Unity ID and complete evaluations. All evaluations are confidential; instructors will never know how any one student responded to any question, and students will never know the ratings for any particular instructors.<\/p>\n\n\n\n<p>Evaluation Website:&nbsp;<a href=\"https:\/\/classeval.ncsu.edu\/\">https:\/\/classeval.ncsu.edu<\/a><\/p>\n\n\n\n<p>Student help desk:&nbsp;<a href=\"mailto:classeval@ncsu.edu\">classeval@ncsu.edu<\/a><\/p>\n\n\n\n<p>More information about ClassEval: http:\/\/www2.acs.ncsu.edu\/UPA\/classeval\/index.htm<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Academic Integrity<\/h3>\n\n\n\n<p>A student is expected to know what constitutes academic misconduct found in the&nbsp;<a href=\"http:\/\/policies.ncsu.edu\/policy\/pol-11-35-01\">Code of Student Conduct Policy ( POL11.35.1)&nbsp;<\/a>, and to take responsibility for his\/her actions. A student who is unsure whether an action constitutes an offense, or who needs help in learning how to avoid offenses (e.g., plagiarism, cheating) or about \u201crules\u201d for group work\/collaboration should seek guidance from the course instructor. <\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Students with Disabilities<\/h3>\n\n\n\n<p>North Carolina State University retains authority, through the Disability Services Office (located in Student Health Services Building, Suite 2221), in determining appropriate accommodations after giving consideration to the preferences of the student, the documentation provided, and institutional expertise in working with students with disabilities. If you require academic accommodations to lessen the impact of your disability, please register with the Disability Services Office at the beginning of each academic term. <\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>OR 705: Syllabus Instructor Professor S.-C. Fang (fang@ncsu.edu) Office4341 Fitts-Woolard Hall919.515.2192 Office HoursRule 3: Office hours will be held through Google Meet. Teaching Assistant TBA&#8230;<\/p>\n","protected":false},"author":380,"featured_media":0,"parent":1851,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"page-landing.php","meta":{"_acf_changed":false,"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-1883","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>OR705 Syllabus - The Fuzzy-Neural Group<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ise.ncsu.edu\/fuzzy-neural\/courses\/or705-large-scale-linear-programming\/or705-syllabus\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OR705 Syllabus - The Fuzzy-Neural Group\" \/>\n<meta property=\"og:description\" content=\"OR 705: Syllabus Instructor Professor S.-C. 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