{"id":17476,"date":"2020-09-09T11:12:52","date_gmt":"2020-09-09T11:12:52","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/ec21-probability-and-random-processes-syllabus-for-et-5th-sem-2017-dbatu\/"},"modified":"2020-09-09T11:12:52","modified_gmt":"2020-09-09T11:12:52","slug":"ec21-probability-and-random-processes-syllabus-for-et-5th-sem-2017-dbatu","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/ec21-probability-and-random-processes-syllabus-for-et-5th-sem-2017-dbatu\/","title":{"rendered":"EC21: Probability and Random Processes Syllabus for ET 5th Sem 2017 DBATU"},"content":{"rendered":"

Probability and Random Processes detailed syllabus scheme for B.Tech Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For all other DBATU Syllabus for Electronics & Telecommunication Engineering 5th Sem 2017, do visit ET 5th Sem 2017 Onwards Scheme<\/a>. The detailed syllabus scheme for probability and random processes is as follows.<\/p>\n

Probability and Random Processes Syllabus for Electronics & Telecommunication Engineering (ET) 3rd Year 5th Sem 2017 DBATU<\/h2>\n

Probability and Random Processes<\/title><\/p>\n<h4>Course Objectives:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Course Outcomes:<\/h4>\n<p> On successful completion of the course, students should be able to:<\/p>\n<ol>\n<li>Explain fundamentals of probability theory, random variables and random processes.<\/li>\n<li>Understand the mathematical concepts related to probability theory and random processes.<\/li>\n<li>Understand the characterization of random processes and their properties.<\/li>\n<li>Formulate and solve the engineering problems involving random processes.<\/li>\n<li>Analyze the given probabilistic model of the problem.<\/li>\n<li>Make precise statements about random processes.<\/li>\n<\/ol>\n<h4>Unit 1<\/h4>\n<p> <strong>Introduction to Probability<\/strong><br \/>\n Definitions, scope and history; limitation of classical and relative-frequency-based definitions, Sets, fields, sample space and events; axiomatic definition of probability, Combinatorics: Probability on finite sample spaces, Joint and conditional probabilities, independence, total probability; Bayes’ rule and applications.<\/p>\n<h4>Unit 2<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 3<\/h4>\n<p> <strong>Random vector and distributions<\/strong><br \/>\n Mean vector, covariance matrix and properties, Some special distributions: Uniform, Gaussian and Rayleigh distributions; Binomial, and Poisson distributions; Multivariate Gaussian distribution, Vector-space representation of random variables, linear independence, inner product, Schwarz Inequality, Elements of estimation theory: linear minimum mean-square error and orthogonality principle in estimation; Moment-generating and characteristic functions and their applications, Bounds and approximations: Chebysev inequality and Chernoff Bound.<\/p>\n<h4>Unit 4<\/h4>\n<p> <strong>Sequence of random variables and convergence<\/strong><br \/>\n Almost sure convergence and strong law of large numbers; convergence in mean square sense with examples from parameter estimation; convergence in probability with examples; convergence in distribution, Central limit theorem and its significance.<\/p>\n<h4>Unit 5<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit 6<\/h4>\n<p> <strong>Spectral representation of a real WSS process<\/strong><br \/>\n Power spectral density, properties of power spectral density, cross-power spectral density and properties; auto- correlation function and power spectral density of a WSS random sequence, Linear time-invariant system with a WSS process as an input: sationarity of the output, autocorrelation and power-spectral density of the output; examples with white-noise as input; linear shift-invariant discrete-time system with a WSS sequence as input, Spectral factorization theorem, Examples of random processes: white noise process and white noise sequence; Gaussian process; Poisson process, Markov Process.<\/p>\n<h4>Reference\/Text Book:<\/h4>\n<ol>\n<li>Probability and Random Processes by Geoffrey Grimmett, David Stirzaker<\/li>\n<li>Probability, random processes, and estimation theory for engineers by Henry Stark, John William Woods.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all other subjects of Electronics & Telecommunication Engineering (ET) 5th Sem 2017 regulation, visit <a href=\"..\/category\/dbatu\/5th-sem-dbatu\">ET 5th Sem Subjects<\/a> syllabus for 2017 regulation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Probability and Random Processes detailed syllabus scheme for B.Tech Electronics & Telecommunication Engineering (ET), 2017 onwards has been taken from the DBATU official website and presented for the Bachelor of […]<\/p>\n","protected":false},"author":2351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[97,108],"tags":[],"class_list":["post-17476","post","type-post","status-publish","format-standard","hentry","category-5th-sem-dbatu","category-et-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17476","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=17476"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17476\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=17476"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=17476"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=17476"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}