| Educational guide School of Engineering |
english |
| Bach. Degree in Telecommunication Systems and Services Engineering (2016) |
 Subjects |
| DATA ANALYSIS AND BIOSTATISTICS |
| Learning outcomes |
| IDENTIFYING DATA | 2023_24 |
| Subject | DATA ANALYSIS AND BIOSTATISTICS | Code | 17244243 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | 1Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| CE9 |
Understand the basic concepts of statistics Understand the different types of random variable distributions Apply the correct statistical models and algorithms biology Understand the theory and statistics associated with experimental design Determine the likelihood or probability of the conclusions that can be extracted from data and rule out unlikely occurrences Use multivariant data analysis techniques to visualise trends or possible erroneous measurements Can apply data correlation techniques to reveal interelations between different biological processes Can apply various techniques to obtain holistic conclusions about experiments with a lot of data and/or variables Understand and apply multivariant or pattern recognition algorithms to predict variables on the basis of the data from a laboratory experiment Can calibrate diagnostic tests based on multivariant techniques, pattern recognition, artificial intelligence or machine learning | |
| Type B | Code | Learning outcomes |
| Type C | Code | Learning outcomes |
