COURSE SYLLABUS Algorithms for Big Data Processing 7.5 credits Algoritmer för stora datamängder Second cycle, D7036E Version Spring 2016 Sp 3 - Spring 2016 Sp 4Autumn 2016 Sp 1 - Autumn 2016 Sp 2Spring 2017 Sp 3 - Spring 2019 Sp 4Autumn 2019 Sp 1 - Autumn 2021 Sp 2Spring 2022 Sp 3 - Present Course syllabus valid: Spring 2022 Sp 3 - PresentThe version indicates the term and period for which this course syllabus is valid. The most recent version of the course syllabus is shown first. Education level Second cycle Grade scale G U 3 4 5 Subject Computer Science Subject group (SCB) Computer Technology Entry requirementsThe student should have knowledge about basic algorithms and data structures, discrete mathematics, and probability. For example: D0012E - Algorithms and Data Structures, M0009M - Discrete Mathematics and S0001M - Mathematical Statistics. More information about English language requirements SelectionThe selection is based on 20-285 creditsCourse Aim After completing the course the student should be able to: demonstrate knowledge of the disciplinary foundation and of proven experience in the design and analysis of algorithms and data structures for large data sets demonstrate the ability to construct, analyze and critically evaluate various algorithmic solutions for large data sets with respect to correctness, efficiency, and reliability show knowledge of mathematical tools for designing and analyzing algorithms for large data sets demonstrate insight in the scientific state of the art in algorithms for large data sets demonstrate the ability to model, predict and evaluate the events even with limited information Contents Topics covered include: paradigms and models, data stream algorithms, parallel algorithms, cache-oblivious algorithms. Realization Each course occasion´s language and form is stated and appear on the course page on Luleå University of Technology's website. Lectures, laborations/projects, and seminars.Examination If there is a decision on special educational support, in accordance with the Guideline Student's rights and obligations at Luleå University of Technology, an adapted or alternative form of examination can be provided. Seminars, assignments, compulsory attendance, oral and written presentation of projects. The final grade will be based on performance in all modules.ExaminerJingsen ChenLiterature. Valid from Spring 2016 Sp 3 (May change until 10 weeks before course start)Scientific publications (conference papers and journal articles). Search books in the library » Course offered byDepartment of Computer Science, Electrical and Space EngineeringModules CodeDescriptionGrade scaleHPStatusFrom periodTitle 0003Project and assignmentsG U 3 4 55.00MandatoryS22 0004Seminars and attendenceU G#2.50MandatoryS22 Study guidanceStudy guidance for the course is to be found in our learning platform Canvas before the course starts. Students applying for single subject courses get more information in the Welcome letter. You will find the learning platform via My LTU.Syllabus establishedby Jonny Johansson, HUL SRT 16 Feb 2015Last revisedby Jonny Johansson, HUL SRT 17 Feb 2021