Raw & digital
Application period for the fall implementation starts on June 16th at 12 pm.
This course introduces you opportunities of digitalization for the raw materials sector and addresses some basic digital solutions on a fundamental terminology level. We touch upon the concepts of artificial intelligence, machine learning, Earth Observation, databases, data assimilation and augmented reality through practical examples and from the perspective of a process, environmental or chemical engineer not yet deeply familiar with the topics.
The course is compiled of reading material, commercial videos and webinars and pod-casts with experts to bring you an entry-level introduction and encourage you to enter the domain of computer science and software engineering.
The course is a 2 ECTS introductory course for those possessing domain specific knowledge and skills from the raw materials sector. The total estimated workload is 52 hours.
The course is a self-standing course, which you can take to touch upon the opportunities of digitalization for the raw materials sector. It is completed by studying the course material and passing a Moodle exam, contributing to discussion forums (3 forums, minimum 5 contributions per forum) and submitting a 2-page learning diary for grading.
The prerequisite for the course is that you already possess knowledge and understanding of the raw materials sector and the nature of processes and operations within the raw materials sector, typically in the form of a B.Sc. or M.Sc. degree. The course is meant for FITech ICT students but may be included in the degrees of chemical engineering as elective studies, too.
The course is completed fully online in LUT Moodle where you have access to the study material, the exam and the assignments required to pass the course. You can register for this course anytime, and after that you can complete the course on your own pace.
Summer course 15.4.–31.7.2020:
The course is completed fully online in LUT Moodle where you have access to the study material, the exam and the assignments. After registration you can complete the course at your own pace starting on April 15th. All course assignments must be completed on July 31st, 2020.
Get to know the course details here (PDF).
digitalisaatio digitalisation raaka-aineet raaka-aineteollisuus tekoäly AI koneoppiminen ML AR
Further information about the studies
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