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Statistical Methods for BME
| Faculteit | Science and Engineering |
| Jaar | 2021/22 |
| Vakcode | WMBE021-05 |
| Vaknaam | Statistical Methods for BME |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester II a |
| ECTS | 5 |
| Rooster | rooster.rug.nl |
| Uitgebreide vaknaam | Statistical Methods for BME | ||||||||||||||||||||
| Leerdoelen | - | ||||||||||||||||||||
| Omschrijving | The course will involve practical statistics and data-analysis that is relevant in the biomedical and medical engineering field. The course will introduce or repeat basic concepts of statistics but will emphasize on the use and application of statistics and understanding data analysis and representation rather than on understanding the mathematical background of statistics. The course will be set up around relevant and realistic datasets. Students will be assessed in home assignments based on proper usage and examination based on statistical theory and proper usage. |
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| Uren per week | |||||||||||||||||||||
| Onderwijsvorm | Bijeenkomst (S), Hoorcollege (LC), Opdracht (ASM), Werkcollege (T) | ||||||||||||||||||||
| Toetsvorm |
Opdracht (AST), Presentatie (P), Schriftelijk tentamen (WE)
(Overall pass mark is built up from three homework assignments (30%), presentation (15%) and examination (55%). Overall mark should be higher than 5.5, with a minimum score of 4.5 on the exam.) |
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| Vaksoort | master | ||||||||||||||||||||
| Coördinator | dr. B.W. Peterson | ||||||||||||||||||||
| Docent(en) | dr. B.W. Peterson | ||||||||||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | The course unit assumes prior knowledge acquired from the bachelor courses Introduction to Biomathematics and Biostatistics (WLP10B12) and Mathematics for Life Sciences (WLP10B22). | ||||||||||||||||||||
| Opmerkingen | Please note that due to Corona/Covid regulations the above mentioned Teaching method and/or Assessment could be subject to change. Study load: Lecture: 40 hours Tutorial: 10 hours Seminar: 5 hours Assignment: 60 hours Self-study: 25 hours Total: 140 hours (= 5 ECTS) |
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