Study module

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BJ02A1090 Environmental and Industrial Analytics, 5 cr 
Code BJ02A1090  Validity 01.08.2017 -
Name Environmental and Industrial Analytics  Abbreviation Environmental a 
Credits5 cr   
TypeBasic studies  
ClassCourse   
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesYes
    Allowed to study several timesno
Organisation LUT School of Engineering Science 

Teachers
Name
Eeva Jernström 
Maaret Paakkunainen 
Satu-Pia Reinikainen 
Tuomas Sihvonen 

Description by Study Guide
Note  Location: Lappeenranta, kokonaan verkossa / full digi

The course is suitable for distance learning.

 
Year  M.Sc. (Tech.) 1 
Period 
Teaching Language  English 
Teacher(s) in Charge 

Satu-Pia Reinikainen, D.Sc. (Tech.), Professor
Maaret Paakkunainen, D.Sc. (Tech.)
Eeva Jernström, D.Sc. (Tech.)

Tuomas Sihvonen, M. Sc. (Tech)

 
Aims 

By the end of the course, the student is expected to
- understand role and state-of-art of analytics in environmental and industrial contexts
- understand steps from the measurements to decision making

- estimate sampling uncertainties
- be able to apply process management skills in implementation of project work.

 
Contents 

Main themes addressed are reliable sampling, traceability of measurements, modern
instrumentation, data handling, process and environmental control/monitoring, and license to operate. Students will carry out a project work on one of these topics, report and present it as visual synthesis. In addition a study visit aiming at
improved understanding of analytics will be carried out with a problem based learning procedure. Course contains tutorials on these topics, hands on workshops (optional), and study visits.

 
Teaching Methods 

8 h of Tutorials, 2 h Study visit, 20 h Moodle assignments or workshops, 30 h Project work, 70 h Independent work.
Total workload 130 h.

 
Suitability for doctoral studies (Yes/Leave empty)  Yes 
Examination in Examination schedule (Yes/No)  No 
Examination in Moodle (Yes/No)  No 
Examination in Exam (Yes/No)  No 
Assessment scale and assessment methods 

Numerical assessment (0-5), 30 % Moodle assignments, 30 % Project Work, and 20 % workshops and 20 % study visits.

 
Course Materials 

To be announced.

 
Places for exchange-students? (Yes, number/No)  max 15 
Places for Open University Students?(Yes, number/No)  max 5 


Current and upcoming courses
Functions Name Type cr Teacher Timing
  Environmental and Industrial Analytics  COURSE  Eeva Jernström,
Maaret Paakkunainen,
Satu-Pia Reinikainen,
Tuomas Sihvonen 
02.03.20 -17.04.20 -

Upcoming exams
No exams