Course Descriptions
| Course | Credits / Total Class Hours | Description | Type |
| SCIENTIFIC METHODOLOGY
Code: ESE410019 |
3 / 45 |
Science, ethics and society. Research on Graduate level. Research documentation. Research topic: problem formulation and research hypotheses, objectives, theoretical references. Methodological procedures: collection, validation, analysis and discussion of data and results. The research project. Planning and structure of the final paper. Preparation of articles and theses. | Required for all lines of research |
| EMBEDDED SYSTEMS DESIGN
Code: ESE410032 |
3 / 45 | Specification and models, Embedded Systems Hardware, System Software, Embedded Systems Application. | Required in the Embedded Systems research line |
| APPLIED POWER ELECTRONICS
Code: ESE410007 |
3 / 45 | Sustainable and renewable energy. High-efficiency, high step-up DC-DC converters. Grid-connected DC – AC converters. Maximum power point tracking techniques. Reversibility in electric current and tension. Power factor correction in PMW rectifiers. PMW modulation techniques applied to converters. | Required in the Power Electronics Systems research line |
| INTRODUCTION TO MACHINE LEARNING
Code: ESE410035 |
3 / 45 | Introduction and overview of Machine Learning and its learning paradigms. Data pre-processing. Supervised learning (decision trees, instance-based and artificial neural networks). Unsupervised learning (data clustering). Evaluation measures. Selected topics (e.g. regression analysis, outlier detection, reinforcement learning). | Required in the Applied Artificial Intelligence research line |
| SIGNALS AND DYNAMIC SYSTEMS ANALYSIS
Code: ESE410010 |
3 / 45 | Signals and systems theory review . Random signals: random variables and random variable functions. Stochastic processes. Discrete and continuous-time signal processing: filtering, sampling and reconstruction. Mathematical analysis of linear systems: linear space, controllability, observability and stability. Nonlinear systems: dynamic behavior, phase plane analysis and stability. Linearization. | Required in the Modeling and Control Systems research line |
| TEACHING PRACTICUM
Codes: ESE410027 to ESE410029 |
up to 3 / 45 | Higher education teaching practice with the support of a supervisor. Required for scholarship holders only. | Required for scholarship holders |
| ELECTROMAGNETIC COMPATIBILITY
Code: ESE410004 |
3 / 45 | Advanced aspects of electromagnetic compatibility. Conducted and radiated emissions. Conducted and radiated susceptibility. Electromagnetic interference. Control of electromagnetic interference. Radiation and Coupling. Nonlinearity of electronic components. Signals spectrum. Parasitic elements of components. Crosstalk, filters and shielding. Standards. Projects for electromagnetic compatibility (printed circuit boards, signal integrity, earthing system, filters and logic disposition). | Elective |
| MODELING AND CONTROL OF STATIC CONVERTERS
Code: ESE410008 |
3 / 45 | Acquisition of dynamic static converter models. Average-value modeling. Small-signal analysis. The PWM switch model. Canonical circuit models. Modeling of Space-state models. State feedback. Nonlinear control systems. | Elective |
| CONTROL SYSTEMS
Code: ESE410003 |
3 / 45 | Fundamentals of classical control theory. Feedforward, cascade and prefiltering control. Performance and sensibility specifications of control systems.. Design of state-space control systems: pole allocation, observers, and linear quadratic optimal control. Robustness and robust control fundamentals. On-off and sliding mode controllers. | Elective |
| EMBEDDED SYSTEMS - INSTRUMENTATION AND CONNECTIVITY
Code: ESE410033 |
3 / 45 | Standard interfaces, amplifiers, filters, converters, power considerations and interface project. | Elective |
| SOFTWARE ARCHITECTURE AND DESIGN PATTERNS
Code: ESE410036 |
3 / 45 | Introduction to embedded software architecture. Software design patterns. Software architectures in embedded systems. Architecture evaluation methods. Case studies. | Elective |
| TESTING AND VERIFICATION OF EMBEDDED SYSTEMS
Code: ESE410037 |
3 / 45 | Importance of testing, types of testing and faults in embedded systems. Testing and verification of embedded systems software: techniques and methods. Case studies. | Elective |
| STATISTICS FOR DATA ANALYSIS
Code: ESE410034 |
3 / 45 | Descriptive statistics. Simple and multiple linear regression. Correlation. Monte Carlo method. Parameter estimation. Hypothesis testing. Testing the adequacy of a fit. Bayes' theorem. ANOVA. Factorial designs. Metrological aspects of experiments. Examples of applications in electronic systems. | Elective |
| DATA SCIENCE
Code: ESE410031 |
3 / 45 | Data Science Concepts. ETL (Extract, Transform and Load). Data mining and knowledge discovery. Exploratory data analysis. Application of machine learning models and algorithms. Data visualization. Concepts of Business Intelligence/Data Warehouse/Data Marts. | Elective |
| INTRODUCTION TO OPTIMIZATION PROCESSES USING AI TECHNIQUES
Code: ESE410030 |
3 / 45 | Introduction to the optimization process. Mathematical modeling of problems. Classification of existing problems. Main techniques for solving optimization problems. Generating initial solutions. Concept of dominance of solutions. Analysis of results. Case studies. | Elective |
| SPECIAL TOPICS I – VI
Codes: ESE410020 to ESE410025 |
3 / 45 | Course with variable content according to the availability and/or needs of the program. | Elective |
| GUIDED STUDY IN ELECTRONIC SYSTEMS
Code: ESE410014 |
3 / 45 | Individual study, or in a group of at most three students, of topics not covered by the regular courses and, according to the advisor, necessary for the development of the thesis. | Elective |
