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Teaching GuideTerm Polytechnic University Collage |
| Mestrado Universitario en Eficiencia e Aproveitamento Enerxético |
 Subjects |
| Analysis Technics and Data Modelling for Efficiency |
| Contents |
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| Identifying Data | 2020/21 | |||||||||||||
| Subject | Analysis Technics and Data Modelling for Efficiency | Code | 770523021 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 3 | ||||||||||
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| Topic | Sub-topic |
| 1. Introduction to machine learning and data mining | 1.1. Preliminary concepts 1.2. Exploratory data analysis 1.3. Types of problems: classification, regression, clustering, anomaly detection, etc. 1.4. Types of learning: supervised, unsupervised, reinforcement, etc. |
| 2. Models for supervised and unsupervised classification of data | 2.1. Preliminary concepts 2.2. Main models: k-nearest neighbors, SVMs, clustering, etc. |
| 3. Regression/system identification models for estimation and prediction | 3.1. Preliminary concepts 3.2. Main models |
| 4. Data processing techniques | 4.1. Data preparation and standardization 4.2. Dimension reduction |
| 5. Experimental methodology and analysis of results | 5.1. Metrics for evaluating the models and techniques for unbiased estimate of the error 5.2. Model selection and analysis of results |
| 6. Statistical Quality Control | 6.1. Control graphs 6.2. Process capacity analysis |
| 7. Applications in Energy Efficiency | 7.1. Examples in forecasting 7.2. Examples for anomaly detection |
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