Lectures<\/a> — Classes<\/a> — Homework<\/a> — Other<\/a><\/p>\n\n\n\n Lecture notes 1<\/a> – Presentation 1<\/a> (Introduction to probability calculus)<\/p>\n\n\n\n Lecture notes 2<\/a> – Presentation 2<\/a> (Conditional probability)<\/p>\n\n\n\n Lecture notes 3 <\/a>— Presentation 3<\/a> (Independence of events. Bernoulli process)<\/p>\n\n\n\n Lecture notes 4<\/a> — Presentation 4 <\/a>(Intro to random variables)<\/p>\n\n\n\n Lecture notes 5<\/a> — Presentation 5<\/a> (Cumulative Distribution Function. Intro to Expected Values)<\/p>\n\n\n\n Lecture notes 6<\/a> — Presentation 6 <\/a>(Expected values cont.)<\/p>\n\n\n\n Lecture notes 7<\/a> — Presentation 7<\/a> (Variance, moments)<\/p>\n\n\n\n Lecture notes 8 <\/a>— Presentation 8<\/a> (Intro to random vectors)<\/p>\n\n\n\n Lecture notes 9<\/a> — Presentation 9<\/a> (Independence of RV)<\/p>\n\n\n\n Lecture notes 10<\/a> — Presentation 10 <\/a>(Conditional Expected Value)<\/p>\n\n\n\n Lecture notes 11<\/a> — Presentation 11<\/a> (Chebyshev Inequalities, Convergence of RV, Laws of Large Numbers)<\/p>\n\n\n\n Lecture notes 12<\/a> — Presentation 12<\/a> (Central Limit Theorem)<\/p>\n\n\n\n Presentation 13<\/a> (Important distributions)<\/p>\n\n\n\n Problem set 0<\/a> (6.10.2021)<\/p>\n\n\n\n Problem set 1<\/a> (13.10.2021)<\/p>\n\n\n\n Problem set 2<\/a> (20.10.2021)<\/p>\n\n\n\n Problem set 3<\/a> (27.10.2021)<\/p>\n\n\n\n Problem set 4<\/a> (3.11.2021)<\/p>\n\n\n\n Problem set 5<\/a> (10.11.2021)<\/p>\n\n\n\n Problem set 6<\/a> (17.11.2021)<\/p>\n\n\n\n Problem set 7<\/a> (24.11.2021)<\/p>\n\n\n\n Problem set 8<\/a> (1.12.2021)<\/p>\n\n\n\n Problem set 9 <\/a>(8.12.2021)<\/p>\n\n\n\n Problem set 10<\/a> (15.12.2021)<\/p>\n\n\n\n Problem set 11<\/a> (22.12.2021)<\/p>\n\n\n\n Problem set 12<\/a> (19.01.2022)<\/p>\n\n\n\n Problem set 13<\/a> (26.01.2022)<\/p>\n\n\n\n Homework 1<\/a><\/p>\n\n\n\n Homework 2<\/a><\/p>\n\n\n\n Homework 3<\/a><\/p>\n\n\n\n Homework 4<\/a><\/p>\n\n\n\n Homework 5<\/a><\/p>\n\n\n\n Rules<\/a><\/p>\n\n\n\n Midterms: 2020<\/a> 2019<\/a> 2018<\/a> 2017<\/a> 2016<\/a> 2015<\/a> 2014<\/a> 2013<\/a> <\/p>\n\n\n\n 1st term: 2020<\/a> 2019<\/a> 2018<\/a> 2017<\/a> 2016<\/a> 2015<\/a> 2014<\/a> 2013<\/a><\/p>\n\n\n\n 2nd term: 2020<\/a> 2019<\/a> 2018<\/a> 2017<\/a> 2016<\/a> 2015<\/a> 2014<\/a> 2013<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" Winter semester 2021\/2022 Lectures — Classes — Homework — Other Lecture materials Lecture notes 1 – Presentation 1 (Introduction to probability calculus) Lecture notes 2 – Presentation 2 (Conditional probability) Lecture notes 3 — Presentation 3 (Independence of events. Bernoulli process) Lecture notes 4 — Presentation 4 (Intro to random variables) Lecture notes 5 —… Czytaj dalej Probability Calculus<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"parent":32,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/pages\/558"}],"collection":[{"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/comments?post=558"}],"version-history":[{"count":10,"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/pages\/558\/revisions"}],"predecessor-version":[{"id":771,"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/pages\/558\/revisions\/771"}],"up":[{"embeddable":true,"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/pages\/32"}],"wp:attachment":[{"href":"https:\/\/strony.wne.uw.edu.pl\/ajanicka\/wp-json\/wp\/v2\/media?parent=558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Lecture materials<\/h3>\n\n\n\n
Class materials<\/h3>\n\n\n\n
Homework Assignments<\/h3>\n\n\n\n
Course rules<\/h3>\n\n\n\n
Old exams<\/h3>\n\n\n\n