Courses offered in the first semester
Introduction to the design of integrated circuits
Lecturers: Prof. Eduardo Costa / Prof. Morgana Rosa
Type: Basic course
Workload: 45 hours (3 credits)
Syllabus:
Design of integrated circuits, CMOS circuits, CMOS manufacturing technology, characterization of CMOS circuits, CMOS design methods, circuit design in FinFET technology. Characterization and layout of FinFET-based circuits, reliability in advanced technologies, circuit and layout level design methods aimed at robust circuit implementations.
Distributed systems
Lecturer: Prof. Rogério da Costa Albandes
Type: Basic course
Workload: 45 hours (3 credits)
Syllabus:
Fundamentals of distributed systems; protocols for connecting computer systems; mechanisms for collecting and processing sensor data; context and situation awareness through logical and physical sensing; methods for controlling distributed systems; overview of fog and cloud computing platforms for processing data from widely distributed networks such as the Internet of Things (IoT); interdisciplinary case studies focusing on innovations in nationally and internationally relevant areas, especially healthcare and regional requirements.
Signals and linear systems
Lecturer: Prof. Sérgio Almeida
Type: Basic course
Workload: 45 hours (3 credits)
Syllabus:
Continuous-time and discrete-time signals; Linear time-invariant systems; Fourier analysis for continuous-time and discrete-time signals; Laplace and z-transforms; Discrete Fourier transform (DFT) and Fast Fourier transform (FFT); Biomedical signal processing.
Seminars in electronics and computer technology
Lecturers: All lecturers of the program
Type: Core course
Workload: 15 hours (1 credit)
Syllabus:
Lectures on current research topics within the program, given by regional, national and international experts.
Introduction to Computational Intelligence
Lecturer: Prof. Giancarlo Lucca
Type: Elective
Workload: 30 hours (2 credits)
Syllabus:
Definitions and applications of artificial intelligence; search problems; uninformed and informed search strategies; heuristic, local and adversarial search; introduction to machine learning; phases of problem solving; supervised, unsupervised and reinforcement learning; study of different learning algorithms; artificial neural networks; practical studies with health-related databases and images.
Data science in the Internet of Things
Lecturers: Prof. Giancarlo Lucca / Prof. Morgana Rosa / Prof. Rogério da Costa Albandes
Type: Elective subject
Workload: 30 hours (2 credits)
Syllabus:
Training in techniques and tools for data preparation and processing in programming environments with emphasis on data analysis, focusing on physical and/or logical sensor data from healthcare databases and the principles of reproducible research.
Materials science and technology: applications in biomedical devices
Lecturer: Prof. Chiara do Nascimento
Type: Elective
Workload: 30 hours (2 credits)
Curriculum:
General aspects of nanoscience and nanotechnology applied to health and engineering; synthesis methods of metallic and polymeric nanomaterials; composites and hybrid materials; common characterization techniques in nanotechnology such as transmission electron microscopy (TEM), scanning electron microscopy (SEM), Rutherford backscattering spectrometry (RBS), electrical measurements and X-ray diffraction (XRD); applications of nanotechnology in health-related and engineering devices.
Courses offered in the second semester
Radiation applications in healthcare and electronics
Lecturers: Prof. Chiara do Nascimento / Prof. Everton Granemann
Type: Core course
Workload: 45 hours (3 credits)
Syllabus:
Germicidal radiation: historical overview, concepts of ionizing and non-ionizing radiation, UV-induced inactivation of microorganisms, DNA/RNA/protein damage and conformations, photochemical laws, quantum efficiency, radiometry, mathematical models for lethal dose estimation, safety protocols, microbiological methods for in vitro and in situ testing, design and modeling of UV disinfection systems, optimization problems using genetic algorithms and neural networks.
Radiation for sustainable energy: concepts of solar radiation, photovoltaic effect, solar cell structures (crystalline, monocrystalline, polycrystalline, thin film, amorphous silicon, CIS, CdTe), manufacturing processes, electrical properties and I-V curves, characterization and development of solar cells.
Embedded systems
Lecturer: Prof. Lizandro de Souza Oliveira
Type: Basic course
Workload: 45 hours (3 credits)
Syllabus:
Introduction to embedded systems; methods for analyzing embedded systems; operating systems and programming platforms for embedded systems; fog computing applications; embedded systems in the context of the Internet of Things and integration with cloud computing; case studies exploring the need for regional applications, especially in healthcare.
Pattern Recognition
Lecturer: Prof. Sérgio Almeida
Type: Elective
Workload: 30 hours (2 credits)
Syllabus:
Introduction to pattern recognition; basic principles of classification theory; statistical inference; linear and non-linear classifiers; design of classification models using biomedical databases.
Health Information Systems
Lecturers: Prof. Everton Granemann / Prof. Giancarlo Lucca / Prof. Morgana Rosa
Type: Elective
Workload: 30 hours (2 credits)
Syllabus:
Concepts and structure of health information systems (HIS); main types of HIS; systematization of data, information and knowledge; distributed collection in HIS; innovation and management aspects related to the implementation of HIS; health databases and their use with different statistical methods; guidance and procedures according to the Brazilian General Data Protection Law (LGPD); case studies of national and international HIS; practical analysis using microregional health information.
Design of integrated circuits for digital signal processing
Lecturer: Prof. Eduardo Costa
Type: Elective
Workload: 30 hours (2 credits)
Syllabus:
Digital integrated circuits; architecture optimization; design methodology; design of specific VLSI architectures; VLSI optimization techniques; applications of VLSI architectures in biomedical signal processing.
Mathematical methods: Applications in health and electronics
Lecturer: Prof. Everton Granemann
Type: Elective
Workload: 30 hours (2 credits)
Syllabus:
Fundamental mathematical problems and unsolved challenges; quaternions and the basics of infinitesimal calculus and vector algebra; determinants and geometric representation of scalar, vector and mixed products; matrices, eigenvalues and eigenvectors; MATLAB functions and applications; singular value decomposition; Fourier and wavelet transforms; application of mathematical tools to databases and biological electrical signals.
Research focus
Embedded and distributed computerized systems
Description:
This research line focuses on addressing current challenges in embedded systems in synergetic combination with the inherent requirements of distributed systems. The aim is to investigate aspects such as scalability, performance, energy consumption, security, and ubiquity. The research initiatives focus on application scenarios that use the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) to meet the needs of agriculture, healthcare, smart cities, and various industrial sectors.
Integrated electronic systems
Description:
This branch of research is dedicated to the development and implementation of digital systems using specialized hardware architectures, algorithms, modeling techniques, and experimental methods. The focus is on the design and optimization of digital filters, adaptive filters, biomedical detection and estimation theories, communication systems, digital signal and image processing, and integrated circuit design.
Radiation methods, materials, and applications for health and electronics
Description:
This multidisciplinary research branch integrates principles from the exact sciences and health sciences to develop innovative materials for applications in biomedical and electronic systems, either as originals or in combination with other technologies. Research activities include the development of anthropomorphic anatomical phantoms, electronic devices, medical instruments, materials with antimicrobial properties, shielding materials, and other novel solutions tailored to healthcare and electronic applications.