Master’s Course Syllabi

Detalhes: Categoria: Master’s Course Syllabi; Publicado: 08 Abril 2022; Acessos: 217

Introduction to robotics. Artificial Intelligence and its applications in robotics. Collective robotics. IoT (Internet of Things) monitoring systems and data communication. Construction and programming of robotic prototypes.

REFERENCES:
[1] GROOVER, Mikell P. et al. – Robotics – Technology and Applications – McGraw-Hill – Brazil – 1989.
[2] PAUL, Richard P. – Robot Manipulators – The MIT Press – USA – 1981.
[3] POLONSKII, Mikhail M. – Introduction to Robotics and Mechatronics – University of Caxias do Sul Press – Brazil – 1996.
[4] MONK, Simon – Projects with Arduino and Android – Bookman Publishing – 2014.
[5] MONK, Simon – 30 Projects with Arduino – Bookman Publishing – 2nd edition – 2014.
[6] MONK, Simon – Programming with Arduino II – Bookman Publishing – 2015.
[7] UPTON, Eben – Raspberry Pi User Guide – Alta Books Publishing – 2017.
[8] DONAT, Wolfram – Programming the Raspberry Pi with Python – NOVATEC Publishing – 2019.

Credits: 3.0 (three)

Detalhes: Categoria: Master’s Course Syllabi; Publicado: 08 Abril 2022; Acessos: 214

Introduction to Human Factors Engineering, Human Factors Engineering program, design of nuclear power plant control rooms, digital control rooms, simulation of human behavior. Computerized systems to support operation (diagnostic systems, alarm systems, safety parameter monitoring systems).

REFERENCES:
[1] Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig. Prentice Hall, 3rd edition.
[2] Nuclear Regulatory Commission (NUREG) 0800.
[3] Nuclear Regulatory Commission (NUREG) 0711.

Credits: 3.0 (three)

Detalhes: Categoria: Master’s Course Syllabi; Publicado: 08 Abril 2022; Acessos: 204

Safety Analysis:

Design and operation of a nuclear reactor. Safety aspects related to nuclear power plants. Safety systems and devices related to nuclear power plants. Licensing of nuclear power plants. Deterministic and probabilistic safety analysis. Design basis accidents in nuclear power plants.

Human Factors Engineering:

Introduction to Human Factors Engineering. Introduction to Artificial Intelligence focusing on Artificial Neural Networks, evolutionary computing, and swarm intelligence. Applications to problems in nuclear engineering.

References – Human Factors Engineering:
[1] Neural Networks and Learning Machines, Simon Haykin. Pearson, 3rd edition.
[2] Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig. Prentice Hall, 3rd edition.
[3] Genetic Algorithms in Search, Optimization & Machine Learning, David E. Goldberg. Addison-Wesley Publishing Company, Inc., 1989.
[4] Swarm Intelligence, James Kennedy and Russell C. Eberhart. Morgan Kaufmann, 2001.

Credits: 3.0 (three)

Detalhes: Categoria: Master’s Course Syllabi; Publicado: 08 Abril 2022; Acessos: 209

Individual study of a topic or project in this research area, including seminar presentations and a formal report.

Credits: 3.0 (three)

Detalhes: Categoria: Master’s Course Syllabi; Publicado: 08 Abril 2022; Acessos: 216

Study of the MATLAB programming environment developed by MathWorks, focusing on its use in the implementation of algorithms and the solution of engineering problems. Study of the development environment, solution of numerical and matrix mathematical expressions, creation and manipulation of 2D and 3D graphics, programming using the MATLAB language, creation of scripts and functions, parameter passing and global variables, and use of function libraries and toolboxes.

References:
[1] Duane Hanselman and Bruce Littlefield, MATLAB 6 – Complete Course, Prentice Hall, 2001.
[2] Stephen J. Chapman, MATLAB Programming for Engineers, Thomson Publishing, 2002.

Credits: 3.0 (three)

Workload: 45 hours