||Location: kokonaan verkossa / full digi|
The course is suitable for distance learning.
||M.Sc. (Tech.) 1 |
|Teacher(s) in Charge
Professor, D.Sc. (Tech.) Satu-Pia Reinikainen, M. Sc. Tuomas Sihvonen
By the end of the course, the student is expected to
• Be aware of the effect of digitalization and automation on amount, nature, and quality of data from chemical engineering point of view
• have acquired a basic information of the main concept of knowledge discovery process concerning industrial data
• be able to apply specified methods and methodology on data
• be able to apply management and cooperation skills in implementation of project work.
The knowledge discovery is referring to the overall process of discovering useful knowledge from data. The knowledge discovery process is interactive and iterative and involves several steps starting from studying the application domain and ending to use of the information discovered. Process data analysis can be part of this process. Fundamental concepts - such as reliability of data, preprocessing (e.g., de-noising, handling missing data, and scaling strategy), data reduction, choosing methodology, validation, modelling, etc - will be addressed in tutorials, Moodle assignments, and discussions. A project work will be carried out in small groups that will define their working methodology. The course is suitable for distance learning.
Online tutorials 7 h, online discussions and peer feedback 7 h, Moodle exams 7 h, and assignments 40 h. Project work 20 h, online independent study 49 h. Total workload 130 h.
|Suitability for doctoral studies (Yes/Leave empty)
|Examination in Examination schedule (Yes/No)
|Examination in Moodle (Yes/No)
|Examination in Exam (Yes/No)
|Assessment scale and assessment methods
Numerical assessment (0-5), Project work 40 %, assignments 30 %, Moodle exams and peer feedback 30 %.
Tutorial videos, online material distributed or announced in Moodle.
||Basic skills in Matlab programming and mathematics. |
|Limitation for students? (Yes, number, priorities/Leave empty)
||Yes, 50, Students in Chemical Engineering M.Sc. programme |
|Places for exchange-students? (Yes, number/No)
||max 10 |
|Places for Open University Students?(Yes, number/No)
||max 10 |