. "Modelling and optimization for analysis of big data"@en . . "5" . "Main target of the course is on providing precise and \r\npowerful tools strongly required in the study of optimization models. Namely, a solid \r\nintroduction to multidimensional calculus of variations and multidimensional control theory \r\nwill be given, coupled with elementary modern linear geometry, basics of functional analysis, \r\nbasics of discrete harmonic analysis and basics of discrete differential geometry needed in the \r\nmodern Big Data Analysis. As an application, many optimization problems are illustrated by \r\nexamples arising from Big Data science, like CCA, generalized CCA, Kernel and Nonlinear \r\nCCA.\n\nOutcome: Not Provided" . . "Presential"@en . "TRUE" . . "Mathematical Optimisation"@en . . . . . . . . . . . . . . . "Master of Big Data Analytics"@en . . "https://www.tu-sofia.bg/specialties/preview/863 https://www.tu-sofia.bg/uplanEn/FAMI/Master/UPlan_M_BDA_2020_EN.pdf" . "60"^^ . "Presential"@en . "The Master's Degree focuses on training related to the development of software for Big Data Analysis on Social Networks, Big Data Ecosystem Security, Digital Big Data and Computer Forensics and Intelligent Personalized Medicine Systems. The specialized disciplines are related to the most up-to-date areas of software science and informatics (cloud platforms and services, big data analysis, knowledge extraction, decision making). The practical orientation of the training is related to the development of coursework in compulsory disciplines and individual software projects in selected disciplines. A diploma thesis is being developed during the last academic semester. Graduates in the specialty “Analysis of Large Arrays and Data Flows” receive a Master's Degree in Computer Science, Big Data Analyst."@en . . . "1"@en . "FALSE" . . . "Master"@en . "Thesis" . "1000.00" . "Bulgarian Lev"@en . "7036.5" . "Recommended" . "The specialty “Big Data Analytics” is among the 5 with highest income for graduates according to the rating system of higher schools.\r\n\r\nThey could find work as:\r\n\r\n1. analyzers and software specialists in scientific institutes, organizations and companies, using contemporary information technologies;\r\n2. analyzers in software companies;\r\n3. analyzers in state administration, in the development of e-management;\r\n4. in financial and insurance institutions;\r\n5. university lecturers and research workers."@en . "1"^^ . "FALSE" . "Midstream"@en . . . . . . . . . . . . . . . . . . . .