Machine Learning With Big Data
- 7.5 credits
- Second cycle (A1N)
- Main area: Computer Science
- School of Innovation, Design and Engineering
- Course code: DVA453
Today with the fast development of digital technologies and advance communications a gigantic amount of data sets with complex structures called ‘Big data’ is being produced everyday enormously and exponentially. The aim of the course is to give the students insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. The students will learn about problems and industrial challenges out of several case studies in the domain. Further, the students will learn to use tools to develop systems using machine-learning algorithms in big data.
This is a course at advanced level for those with University credits and work experience. It is developed to suit professionals who need to be able to combine work and studies.
Further information about the course at: http://www.promptedu.se
Read all about how to apply here: http://www.promptedu.se/faq/
Autumn semester 2018, Ortsoberoende, week 36 - 3
- 25%, mixed
- Location: Online
- week 36 - 3
- Language of instruction: English
- Apply code: MDH-24032
Application is opened one month before the last closing day for enrolments.
100 credits of which at least 70 credits in Computer Science or equivalent, including at least 30 credits in programming or software development. In addition, at least 12 months of documented work experience in software development or related areas. In addition, Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.
Course syllabus and literature
Mobyen Uddin Ahmed