Multivariate Data Analysis in Engineering
The application of multivariate data analysis methods and a tremendous increase in available computational power have opened great opportunities to address present and future engineering challenges.
If you want to learn how the modern multivariate data analysis, including artificial intelligence (AI) and machine learning algorithms, can be used to address engineering challenges - then this course is for you.
The course will provide you with the essential knowledge that enhances your capabilities to solve complex engineering problems, within fields such as waste management, energy, agriculture, water management, weather forecasting - and thereby contributing to sustainable development.
Occasions for this course
Autumn semester 2021
2021-08-30 - 2021-11-07 (part time 50%)
Independent of location
Number of mandatory occasions including examination: 0
Number of other physical occasions: 0
Course syllabus & literatureSee course plan and literature list (MTK337)
120 credits of which 90 credits engineering and/or natural science, and 7.5 credits mathematics.
In addition Swedish course B/Swedish course 3 and English course B/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3.