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Sovellettu matematiikka (MATLP0028), 3 op
Basic information
| Course name: | Sovellettu matematiikka Applied Mathemathics |
| Course Winha code: | MATLP0028 |
| Kurre acronym: | SovMat |
| Credits: | 3 |
| Type and level of course: | Professional studies |
| Year of study, semester or study period: | 4.year |
| Implementation: | 3.period, 4.period |
| Semester: | 0607 |
| Language of tuition: | Suomi |
| Teacher: | Jorma Vilska |
| Final assessment: | Grading scale (0-5) |
Descriptions
Prerequisites
Mathematical methods in Material and Surface treatment technology
Basic course in statistics
Course contents (core content level)
One- and two-way variance analysis. Experimental optimization with two variables.
Using excel statistical toolbox.
Course contents (additional)
Experimental optimization with more than two variables.
Core content level learning outcomes (knowledge and understanding)
The student uses variance analysis to find diffrencies between methods. The student is able make experimental optimization using gradient and polynomial fittings (two variables).
Core content level learning outcomes (skills)
Recommended reading
Printouts
Box, Hunter, Hunter: Statistics for experimenters, Wiley
D.C.Montgomery: Design and analysis of experiments, Wiley
S.B.Vardeman: Statistics for engineering problem solving, PWS
R,Carlson: Design and optimization in organic synthesis, Elsevier
Teaching and learning strategies
Class room teaching: 21 h
Computer exercises: 14 h
Exam: 3h
Project: 20 h
Student individual workload (student workload analysis not carried out): 23 h
Total: 80 h
Follow-up of the student workload analysis performed: -
Teaching methods and student workload
Assessment weighting and grading
Assessment of of computer exercises and project. Final exam.
Related competences of the degree programme
Theoretical basis and mathematical and science skills