{"id":null,"code":"521390S","name":{"valueFi":"Informaatioteoria","valueEn":"Information Theory","valueSv":""},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534820771,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"Upon completing the required coursework, the student is able to use the basic methodology of information theory to calculate the capacity bounds of communication and data compression systems. He can estimate the feasibility of given design tasks before the execution of the detailed design. What is more, she can independently search for information and knowledge related to communication engineering, system design and signal processing.  \r\n  \r\nObjective: To learn the information theory as a discipline and its most important applications in information technology in general and in communications engineering.","valueEn":"Upon completing the required coursework, the student is able to use the basic methodology of information theory to calculate the capacity bounds of communication and data compression systems. He can estimate the feasibility of given design tasks before the execution of the detailed design. What is more, she can independently search for information and knowledge related to communication engineering, system design and signal processing.  \r\n  \r\nObjective: To learn the information theory as a discipline and its most important applications in information technology in general and in communications engineering.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"Entropy, mutual information, typicality and entropy rate, data compression, basics of source coding, discrete channels and their capacity, the Gaussian channel and its capacity, rate distortion theory, quantization methods, introduction to network information theory, modern topics in information theory.","valueEn":"Entropy, mutual information, typicality and entropy rate, data compression, basics of source coding, discrete channels and their capacity, the Gaussian channel and its capacity, rate distortion theory, quantization methods, introduction to network information theory, modern topics in information theory.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study Methods","valueSv":""},"content":{"valueFi":"The course is passed with two mid-term exams or a final exam and the accepted lab exercise report. The final grade is a weighted sum of exams (70%) and homework (30%).","valueEn":"The course is passed with two mid-term exams or a final exam and the accepted lab exercise report. The final grade is a weighted sum of exams (70%) and homework (30%).","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Teaching Methods","valueSv":""},"content":{"valueFi":"Face-to-face teaching.\r\nLectures and exercises (50 h), compulsory homework (30 h), independent work (50 h).","valueEn":"Face-to-face teaching. Lectures and exercises (50 h), compulsory homework (30 h), independent work (50 h).","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"<p>Thomas M. Cover &amp; Joy A. Thomas: Elements of Information Theory, 2nd ed. John Wiley &amp; Sons, 2006 ISBN-13 978-0-471-24195-9, ISBN-10 0-471-24195-4. Parts from books &bull; Raymond W. Yeung, Information Theory and Network Coding, Springer; 2008 edition, ISBN-13: 978-0387792330 &bull; David MacKay, Information Theory, Inference and Learning Algorithms, 2003, ISBN-13: 9780521642989 Lecture notes and other literature.</p>","valueEn":"<p>Thomas M. Cover &amp; Joy A. Thomas: Elements of Information Theory, 2nd ed. John Wiley &amp; Sons, 2006 ISBN-13 978-0-471-24195-9, ISBN-10 0-471-24195-4. Parts from books &bull; Raymond W. Yeung, Information Theory and Network Coding, Springer; 2008 edition, ISBN-13: 978-0387792330 &bull; David MacKay, Information Theory, Inference and Learning Algorithms, 2003, ISBN-13: 9780521642989 Lecture notes and other literature.</p>","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"Ajoitus  \r\nSpring, period 3, will be lectured on even years (2022, 2024 ...)  \r\n  \r\nKohderyhmä  \r\n2nd year M.Sc. electrical and communications engineering, WCE as well as computer science and engineering students","valueEn":"Timing  \r\nSpring, period 3, will be lectured on even years (2022, 2024...)  \r\n  \r\nTarget group  \r\n2nd year M.Sc. electrical and communications engineering, WCE as well as computer science and engineering students","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"Esitietovaatimukset  \r\nSignal Analysis, Telecommunication Engineering, Probability and Mathematical Statistics.  \r\n  \r\nYhteydet muihin opintojaksoihin  \r\nWireless Communications I and II, Statistical Signal Processing I and II.","valueEn":"Prerequisites and co-requisites  \r\nSignal Analysis, Telecommunication Engineering, Probability and Mathematical Statistics.  \r\n  \r\nRecommended optional programme components  \r\nWireless Communications I and II, Statistical Signal Processing I and II.","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"1-5/HYL","valueEn":"1-5/FAIL","valueSv":"1-5/FAIL"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"The course unit utilizes a numerical grading scale 1-5.","valueEn":"The course unit utilizes a numerical grading scale 1-5.","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Evaluation criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Evaluation criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Evaluation criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Pääasiallinen opetuskieli","valueEn":"Primary Teaching Language","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":"Syventävät opinnot"}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Tietoliikennetekniikka","valueEn":"Communications Engineering","valueSv":""}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Hirley Alves, Italo Atzeni","valueEn":"Hirley Alves, Italo Atzeni","valueSv":"Hirley Alves, Italo Atzeni"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}