{"id":4190,"date":"2026-01-16T10:07:30","date_gmt":"2026-01-16T10:07:30","guid":{"rendered":"https:\/\/devserver.admin.uoc.gr\/damsl\/?page_id=4190"},"modified":"2026-01-16T12:16:03","modified_gmt":"2026-01-16T12:16:03","slug":"damsl-092-probability-theory","status":"publish","type":"page","link":"https:\/\/mscs.uoc.gr\/damsl\/damsl-092-probability-theory\/","title":{"rendered":"DAMSL-092 Probability Theory"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"4190\" class=\"elementor elementor-4190\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-47e7b33 e-flex e-con-boxed e-con e-parent\" data-id=\"47e7b33\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-2c87900 e-con-full e-flex e-con e-child\" data-id=\"2c87900\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-63fb3b4 elementor-widget elementor-widget-text-editor\" data-id=\"63fb3b4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong style=\"font-size: 22px;\">Type<\/strong><bR>\n\n<bR><strong style=\"font-size: 16px;\">Preparatory<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6ff4fab e-con-full e-flex e-con e-child\" data-id=\"6ff4fab\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cbbdc33 elementor-widget elementor-widget-text-editor\" data-id=\"cbbdc33\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong style=\"font-size: 22px;\">Course Code<\/strong><bR>\n\n<bR><strong style=\"font-size: 16px;\">DAMSL-092<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4728792 e-con-full e-flex e-con e-child\" data-id=\"4728792\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e4dd7f1 elementor-widget elementor-widget-text-editor\" data-id=\"e4dd7f1\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong style=\"font-size: 22px;\">Teaching Semester<\/strong><bR>\n\n<bR><strong style=\"font-size: 16px;\">A semester<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-74b417e e-con-full e-flex e-con e-child\" data-id=\"74b417e\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c4e7ca8 elementor-widget elementor-widget-text-editor\" data-id=\"c4e7ca8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<strong style=\"font-size: 22px;\">ECTS Credits<\/strong><bR>\n\n<bR><strong style=\"font-size: 16px;\">5<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-aea9e47 e-flex e-con-boxed e-con e-parent\" data-id=\"aea9e47\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ca881e9 e-grid e-con-full e-con e-child\" data-id=\"ca881e9\" data-element_type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8169c04 elementor-widget elementor-widget-text-editor\" data-id=\"8169c04\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"et_pb_module et_pb_text et_pb_text_5_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-field \"><h6>Student Performance Evaluation<\/h6><p>Homework Assignments, Final Exam<\/p><\/div><\/div><\/div><div class=\"et_pb_module et_pb_text et_pb_text_6_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-field \"><h6>Prerequisite Courses<\/h6><p>Calculus I<\/p><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ca0c741 e-flex e-con-boxed e-con e-parent\" data-id=\"ca0c741\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-6f13111 e-grid e-con-full e-con e-child\" data-id=\"6f13111\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6361eff elementor-widget elementor-widget-text-editor\" data-id=\"6361eff\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_1_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \"><h6><span style=\"text-decoration: underline;\">Syllabus<\/span><\/h6><ul><li>Introduction to probability: Random experiments,\u00a0probability axioms,\u00a0conditional probability,\u00a0law of total probability, Bayes\u2019 rule, and counting methods.<\/li><li>Random variables and their distributions: Single and multiple random variables, expectation, variance, moment generating factors, inequalities.<\/li><li>Limit theorems: Convergence of random variables, weak law of large numbers, central limit theorem.<\/li><\/ul><\/div><\/div><\/div><div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_2_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \">\u00a0<\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-caa1dca elementor-widget elementor-widget-text-editor\" data-id=\"caa1dca\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h6><span style=\"text-decoration: underline;\">Learning Outcomes<\/span><\/h6><div id=\"outcomes\" class=\"et_pb_module et_pb_text et_pb_text_2_tb_body et_pb_text_align_left et_pb_bg_layout_light\"><div class=\"et_pb_text_inner\"><div class=\"custom-field course-main \"><p>Upon completion of the course the students will have:<\/p><ul><li>Good knowledge of the basic concepts in probabilities: random experiments and axioms, conditional probability, Bayes law.\u00a0<\/li><li>Good knowledge of random variables and their distributions, expectation, and variance. Law of large numbers.<\/li><\/ul><\/div><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-396be16 e-flex e-con-boxed e-con e-parent\" data-id=\"396be16\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-93f3c11 elementor-widget elementor-widget-spacer\" data-id=\"93f3c11\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Type PreparatoryCourse Code DAMSL-092Teaching Semester A semesterECTS Credits 5 Student Performance Evaluation Homework Assignments, Final Exam Prerequisite Courses Calculus I Syllabus Introduction to probability: Random experiments,\u00a0probability axioms,\u00a0conditional probability,\u00a0law of total probability, Bayes\u2019 rule, and counting methods. Random variables and their distributions: Single and multiple random variables, expectation, variance, moment generating factors, inequalities. Limit theorems: Convergence of random variables, weak law of large numbers, central limit theorem. \u00a0 Learning Outcomes Upon completion of the course the students will have: Good knowledge of the basic concepts in probabilities: random experiments and axioms, conditional probability, Bayes law.\u00a0 Good knowledge of random variables and their distributions, expectation, and variance. Law of large numbers.<\/p>\n","protected":false},"author":194,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-4190","page","type-page","status-publish","hentry","post-no-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/users\/194"}],"replies":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/comments?post=4190"}],"version-history":[{"count":7,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4190\/revisions"}],"predecessor-version":[{"id":4370,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4190\/revisions\/4370"}],"wp:attachment":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/media?parent=4190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}