{"id":91,"date":"2021-02-25T19:56:24","date_gmt":"2021-02-25T19:56:24","guid":{"rendered":"https:\/\/wp.ece.uw.edu\/coursetest\/?page_id=91"},"modified":"2025-03-18T14:22:15","modified_gmt":"2025-03-18T21:22:15","slug":"pmp-basics","status":"publish","type":"page","link":"https:\/\/wp.ece.uw.edu\/explorepmp\/pmp-basics\/","title":{"rendered":"PMP Basics"},"content":{"rendered":"<p><iframe loading=\"lazy\" title=\"UW Professional Master&#039;s Program in Electrical Engineering\" width=\"750\" height=\"422\" src=\"https:\/\/www.youtube.com\/embed\/2OHPq17E71I?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>The PMP is designed for students whose ultimate goal is to work in professional roles in industry. We welcome both current working professionals and full-time students who use the degree as a way to launch their career (and have excellent networking opportunities with their classmates!). Conversely, our daytime master&#8217;s is a better fit for those who desire a research-based degree (thesis-track) and who wish to continue to further graduate study.<\/p>\n<h2>Degree Requirements<\/h2>\n<p>The degree requires 45 quarter credits (equivalent to ~30 semester credits) and is designed to be very flexible. Full-time students complete the program in about a year and a half and part-time students complete the program in about 3 years. Unless you need to be full-time (F1 visa, veteran&#8217;s benefits, etc.), you can feel free to enroll in as few (1 credit minimum) or as many courses as you&#8217;d like.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-209\" src=\"https:\/\/ada.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule.png\" alt=\"\" width=\"917\" height=\"339\" srcset=\"https:\/\/wp.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule.png 917w, https:\/\/wp.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule-300x111.png 300w, https:\/\/wp.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule-768x284.png 768w, https:\/\/wp.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule-375x139.png 375w, https:\/\/wp.ece.uw.edu\/wp-content\/uploads\/sites\/15\/2021\/02\/schedule-750x277.png 750w\" sizes=\"auto, (max-width: 917px) 100vw, 917px\" \/><\/p>\n<p>The 45 credits are comprised of 5-9 credits of EE P 500 (colloquium) and 36-40 elective credits. There are no official concentrations and students can choose their courses based on their personal and professional interests and goals.<\/p>\n<h2>Coursework<\/h2>\n<p>About 25% of our courses are the same as those offered in the daytime graduate program. The remaining 75% were developed specifically for PMP and are often based on industry trends and interests.<\/p>\n<div>\n<p>The 25-26 schedule is still in the works, but below you can view the list of our current 24-25 schedule as well as our <a href=\"https:\/\/peden.ece.uw.edu\/pmp\/pmp-course-history\/\" target=\"_blank\" rel=\"noopener noreferrer\">archive of past offerings:<\/a><\/p>\n<div>\n<h3><strong>Autumn 2024\u00a0<\/strong><\/h3>\n<ul>\n<li>The Self-Driving Car: Intro to AI for Mobile Robots (Faulkner)<\/li>\n<li>Data Structures and Algorithms for ECE Applications (Slaughter)<\/li>\n<li>Deep Learning for Big Visual Data (Hwang)<\/li>\n<li>Radar Signals and Systems (Reynolds)<\/li>\n<li>Analytical Methods for Electrical Engineering (Bonaci)<\/li>\n<li>Digital Systems Design with FPGA (Makhsous)<\/li>\n<li>Applied High Performance GPU Computing (Reinhardt) Learn more about the GPU series of courses in this <a href=\"https:\/\/www.ece.uw.edu\/spotlight\/uwece-gpu-certificate-2024\/\">spotlight article<\/a>!<\/li>\n<li>Computer Vision: Deep and Classical Methods (Birchfield)<\/li>\n<li>Next Generation Wireless Networks (Yin)<\/li>\n<li>Network and Communication Security (Lu)<\/li>\n<li>Practical Introduction to Deep Learning Applications and Theory (Kim)<\/li>\n<li>Intellectual Property for Engineers- 1 credit EE P 500 seminar (Probst and Gardner)<\/li>\n<\/ul>\n<h3>Winter 2025<\/h3>\n<ul>\n<li>Large Language Models: From Transformers to ChatGPT (Mohan)<\/li>\n<li>Machine Learning for Cyber Security (Poovendran)<\/li>\n<li>Embedded and Real Time Systems (Sloss)<\/li>\n<li>Software Engineering for Embedded Applications (Makhsous)<\/li>\n<li>Wireless Power Transfer (Smith)<\/li>\n<li>GPU-Accelerated Interactive Scientific Visualization Techniques (SciVis) (Reinhardt)<\/li>\n<li>Dynamics of Controlled Systems (Nagel)<\/li>\n<li>Introduction to Quantum Hardware (Parsons)<\/li>\n<li>Model-based Representations for Systems Engineering (Kimberly)<\/li>\n<li>Applied EM: How the Force of Maxwell\u2019s Equations Drives Circuit Theory and the Rest of Life (Goldstein)<\/li>\n<li><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Matrix to Machine: GPU Hardware Design on FPGA for AI (Sadasivan)&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:893,&quot;3&quot;:{&quot;1&quot;:0},&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;9&quot;:1,&quot;11&quot;:4,&quot;12&quot;:0}\">Matrix to Machine: GPU Hardware Design on FPGA for AI (Sadasivan)<\/span><\/li>\n<li><span data-sheets-root=\"1\" data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;555: Data Science for Power Systems (Sahabandu)&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:895,&quot;3&quot;:{&quot;1&quot;:0},&quot;4&quot;:{&quot;1&quot;:2,&quot;2&quot;:14275305},&quot;5&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;6&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;7&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;8&quot;:{&quot;1&quot;:[{&quot;1&quot;:2,&quot;2&quot;:0,&quot;5&quot;:{&quot;1&quot;:2,&quot;2&quot;:0}},{&quot;1&quot;:0,&quot;2&quot;:0,&quot;3&quot;:3},{&quot;1&quot;:1,&quot;2&quot;:0,&quot;4&quot;:1}]},&quot;9&quot;:1,&quot;11&quot;:4,&quot;12&quot;:0}\">Data Science for Power Systems (Sahabandu)<\/span><\/li>\n<\/ul>\n<h3>Spring 2025<\/h3>\n<ul>\n<li>Data Structures and Algorithms for ECE Applications (Slaughter)<\/li>\n<li>CHIPS Revolution: Semiconductor-based Diodes, Transistors, and Memory Devices (Anantram)<\/li>\n<li>Mobile Applications for Sensing and Control (Makhsous)<\/li>\n<li>Tiny Machine Learning for Ultra Low-Power Edge Computing (TinyML) (Sahabandu)<\/li>\n<li>Privacy-preserving Machine Learning (Bonaci)<\/li>\n<li><span data-sheets-root=\"1\">Advanced GPU Computing and Visualization for 3D Learning (Reinhardt)<\/span><\/li>\n<li><span data-sheets-root=\"1\">Computer Control of Machines &amp; Processes (Nagel) <\/span><\/li>\n<li>Embedded Systems Design with ESP32 and Parallel Computing (Makhsous)<\/li>\n<li><span data-sheets-root=\"1\">Computer Architecture RISC V (Hameed)<\/span><\/li>\n<li><span data-sheets-root=\"1\">Electromagnetic Compatibility (EMC) (Sharawi)<\/span><\/li>\n<li>Developing Immersive Experiences for AR\/VR (Akers)<\/li>\n<li>Graphs in Machine Learning (Bilmes)<\/li>\n<li>Machine Learning Interview Prep- 1 credit EE P 500 seminar (Mohan)<\/li>\n<\/ul>\n<h3>Summer 2025<\/h3>\n<ul>\n<li>Foundations of Quantum Mechanics and Quantum Computing for Engineers (Anantram)<\/li>\n<li>Entrepreneurship for Electrical and Computer Engineers: From Idea to Startup (Makhsous)<\/li>\n<li>Introduction to Privacy Engineering (Bonaci)<\/li>\n<li>Algorithms for ECE Applications (Slaughter)<\/li>\n<li>Network Security and Cryptography (Sahabandu)<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<h2>Course Format<\/h2>\n<p>We are on a <a href=\"http:\/\/www.washington.edu\/students\/reg\/2425cal.html\">quarter system<\/a>, so classes meet for just 10 weeks. The majority of our classes are scheduled weekly from 6-9:50 p.m. with some scheduled twice a week from 4 p.m. -6 p.m.<\/p>\n<h2>Internship Credit<\/h2>\n<p>Full-time students can receive course credit through ENGR 601 for part-time or full-time internship experiences. Up to 2 credits of ENGR 601 can be utilized towards the degree. PMP students on an F1 visa are eligible for <a href=\"https:\/\/iss.washington.edu\/work\/f1-employment\/cpt\/\" target=\"_blank\" rel=\"noopener noreferrer\">CPT<\/a>\u00a0(internship) and\u00a0<a href=\"https:\/\/iss.washington.edu\/work\/f1-employment\/opt\/post-completion\/\" target=\"_blank\" rel=\"noopener noreferrer\">OPT<\/a>\u00a0(post-graduation work authorization) opportunities. In addition to the 12-month Optional Practical Training (OPT), F1 students are eligible for the 24 month STEM OPT extension, allowing you to gain valuable work experience in the US after graduation!<\/p>\n<h2>ENGINE<\/h2>\n<p>We encourage PMP students to participate in the department-wide <a href=\"https:\/\/www.ece.uw.edu\/entrepreneurship\/entrepreneurial-capstone\/\">Entrepreneurial Capstone<\/a> program! ENGINE is a two-quarter sequence (8 credits over Winter and Spring) and will count towards your degree requirements.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The PMP is designed for students whose ultimate goal is to work in professional roles in industry. We welcome both current working professionals and full-time students who use the degree as a way to launch their career (and have excellent networking opportunities with their classmates!). Conversely, our daytime master&#8217;s is a better fit for those&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/wp.ece.uw.edu\/explorepmp\/pmp-basics\/\">Read more<\/a><\/div>\n","protected":false},"author":26,"featured_media":0,"parent":0,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"tags":[],"class_list":["post-91","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/pages\/91","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/comments?post=91"}],"version-history":[{"count":16,"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/pages\/91\/revisions"}],"predecessor-version":[{"id":451,"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/pages\/91\/revisions\/451"}],"wp:attachment":[{"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/media?parent=91"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.ece.uw.edu\/explorepmp\/wp-json\/wp\/v2\/tags?post=91"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}