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 2019, 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.
90 credits of which at least 60 credits in Computer Science or equivalent, including at least 15 credits in programming. 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
Applicants with at least 12 month (full-time) documented work-experience from software development have priority. Other applicants are ranked by university credits.
Mobyen Uddin Ahmed