{"id":null,"code":"521283S","name":{"valueFi":"Massadatan käsittely ja soveltaminen","valueEn":"Big Data Processing and Applications","valueSv":""},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[{"code":"opinfi_fitech","title":{"valueFi":"opinfi_fitech","valueEn":"opinfi_fitech","valueSv":"opinfi_fitech"}}],"createdAt":1790534900300,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"Upon completion of the course, the student :\r\n - is able to explain the big data phenomenon, its challenges and opportunities.\r\n - is able to explain the requirements and common principles for data intensive systems design and implementation, and evaluate the benefits, risks and restrictions of available solutions.\r\n - can explain the principles of big data management and processing technologies and utilize them on a basic level.","valueEn":"Upon completion of the course, the student :\r\n - is able to explain the big data phenomenon, its challenges and opportunities.\r\n - is able to explain the requirements and common principles for data intensive systems design and implementation, and evaluate the benefits, risks and restrictions of available solutions.\r\n - can explain the principles of big data management and processing technologies and utilize them on a basic level.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"General introduction into big data, namely: big data fundatmenals, data storage, batch and stream data processing, data analysis, privacy and security, big data use cases.","valueEn":"General introduction into big data, namely: big data fundatmenals, data storage, batch and stream data processing, data analysis, privacy and security, big data use cases.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study Methods","valueSv":""},"content":{"valueFi":"This course assesses students continuously by the completion of small project work or small literature review on selected topic (group work, students choose whether they want to do a small project or literature review), seminar presentations, and exercises. To pass the course, it is enough to get 50 % of available points. No exam.\r\nRead more about assessment criteria at the University of Oulu webpage.","valueEn":"This course assesses students continuously by the completion of small project work or small literature review on selected topic (group work, students choose whether they want to do a small project or literature review), seminar presentations, and exercises. To pass the course, it is enough to get 50 % of available points. No exam.\r\nRead more about assessment criteria at the University of Oulu webpage.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Teaching Methods","valueSv":""},"content":{"valueFi":"Järjestämistapa: \r\nScheduled online teaching: Lectures, exercises, seminars, independent and group work","valueEn":"Mode of delivery: \r\nScheduled online teaching: Lectures, exercises, seminars, independent and group work","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"Opetuskieli: \r\nEnglish\r\n\r\nAjoitus: \r\nPeriod IV. It is recommended that the course is taken on the fourth year Spring.\r\n\r\nKohderyhmä: \r\nM.Sc. students (computer science and engineering) and other Students of the University of Oulu\r\n \r\nVastuuhenkilö: \r\nEkaterina Gilman\r\n\r\nLisätiedot: \r\nCourse is in Moodle.","valueEn":"Language of instruction: \r\nEnglish\r\n\r\nTiming: \r\nPeriod IV. It is recommended that the course is taken on the fourth year Spring.\r\n\r\nTarget group: \r\nM.Sc. students (computer science and engineering) and other Students of the University of Oulu\r\n\r\nPerson responsible: \r\nEkaterina Gilman\r\n\r\nOther information: \r\nCourse is in Moodle.","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"Esitietovaatimukset: \r\nThe Bachelor level studies of Computer science and engineering study programmes or respective knowledge. Programming skills.\r\n\r\nYhteydet muihin opintojaksoihin: \r\nFinishing 521290S Distributed Systems, 521497S Pattern recognition and neural networks, and 521286A Computer Systems is beneficial.","valueEn":"Prerequisites and co-requisites: \r\nThe Bachelor level studies of Computer science and engineering study programmes or respective knowledge. Programming skills.\r\n\r\nRecommended optional programme components: \r\nFinishing 521290S Distributed Systems, 521497S Pattern recognition and neural networks, and 521286A Computer Systems is beneficial.","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 utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.","valueEn":"The course utilizes a numerical grading scale 1-5. In the numerical scale zero stands for a fail.","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":"Tietotekniikka","valueEn":"Computer Science and Engineering","valueSv":""}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Ekaterina Gilman","valueEn":"Ekaterina Gilman","valueSv":"Ekaterina Gilman"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"opinfi_fitech","valueEn":"opinfi_fitech","valueSv":"opinfi_fitech"}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}