Curricular structure

by Secretaria do Mestrado published Mar 07, 2017 03:40 PM, last modified Mar 28, 2017 02:30 PM

The Master's Degree in Systems Applied to Engineering and Management has the following matrix:

 

 

Name

Course Outline

Credits

Research Techniques

(mandatory)

Theory of Knowledge: to know, science, division of science throughout time. Scientific Methods: rational methods, specific methods of computational systems and engineering. Hypotheses: elaboration of hypotheses, cycle of hypotheses, quality of a well-formulated hypothesis, testing of hypotheses. Variables: classification of variables; categorization of variables. Concepts and Definitions. Research project: subject, problem, objectives, justification, construction of hypotheses and indication of variables, methodological procedures, delimitation of the universe, research presupposition. Bibliographical research: bibliographic survey, electronic documents, summaries: files and binders, writing. Methods of obtaining data for research and methods of data processing. Structure of Scientific Work

3

Development of Systems for Engineering

Introduction to Requirements Engineering in Engineering Systems, Test Driven Development, Test Case Construction Techniques (Limit Value Analysis, Equivalence Partitioning, Condition Testing, Loop Testing, and Comparison Testing) , Numerical & Algebraic Problem Testing, Combinatorial and Stochastic Testing.

3

Development of Integrated Management Systems

Discuss and apply in limited case study techniques for the development of GIS, including specification, modeling and implementation. SIG and Enterprise Resource Planning (ERP), Business Process Integration, Service Oriented Architectures & Cloud Computing, Dynamic Service Composition, Domain Specific Languages, Case Study

3

 

 

Decisive Analysis

Discuss decision-making technologies through traditional decision-making models, and simulate complex decision-making scenarios involving multiple conflicting interests.

Situation of decision. Model of the decision making process. Traditional methods of decision. Central features of multicriteria analysis. French School and American School. Preference relationships. ELECTRE Method I: Preference relationships. Agreement. Disagreement. Preference system modeling. ELECTRE II Method: Subordination Relationships. Subordination graph. Non-dominated solutions (core). Sensitivity analysis. ELECTRE III: Relations of preference. Agreement. Disagreement. Subordination relationships. Cutting plans. Sort: ascending, descending. Sensitivity analysis. Decision with conflicting criteria.

3

Semantic Web Techniques

Conventional or Synthetic Web; Semantic Web (definition), Resource Description Framework (RDF), Ontologies, RDFschema (RDFS) and Basic Web Ontology Language (OWL), SPARQL Protocol and RDF Query Language (SPARQL), and DBpedia (RDF), Semantic Web Development, Semantic Web Development, Semantic Web Development, Semantic Web Development,

3

Modeling, Analysis and Simulatiom

Concepts of continuous and discrete systems. Concepts of modeling and simulation to discrete events ¬ Applications, advantages and disadvantages. Discrete simulation software. Random number generators. Simulation of Monte Carlo. Theoretical distributions of probabilities - continuous and discrete. Verification and validation of simulation models. Analysis of input and output data in simulation models. Design of experiments with simulation models. Simulation with optimization. Case study.

3

Energy and Development

Energy and human activities. Energy sources and energy balances. Energy resources and reserves. Energy and development: relations with GDP, HDI, Gini. Energy and environment. Future energy alternatives (energy efficiency and renewable energy). Biomass: from plants to trash. Technical solutions (industry, transport, services). Case study of sustainable development models.

3

Sustainability Engineering

History and current issues of environmental issues. Sustainable Development and Sustainable Systems in Engineering. Regional environmental impacts caused by traditional activities and major current development projects. Sustainability of consumption. Economic sustainability and the ecological economy. Environmental management in companies. ISO 14000 standards and Environmental Management Systems (EMS). Sustainable product and service innovation. Eco-efficiency and Cleaner Production. Experiences of sustainable local and regional. Environmental Ethics.

3

Ubiqua and Mobile Computing

Introduction to mobile / ubiquitous computing, Ubiquitous Application features, Wireless Aspects and operational platforms.

3

Web Intelligence and Big Data

Introduction to Web Intelligence, Introduction to Big Data, Association Rules, Content Recommendation, Collaborative Filtering, Feeling Mining, MapReduce, NoSql, BigData.

3

Mathematical Modeling  Systems Engineering

Game theory in the mathematical modeling of decision systems. Management Systems: Modeling of management systems and decision making; Systems with conditions of links; Resolution of systems of equations. Dynamic Systems: Introduction to the physical processes, modeling of physical processes using differential equations, Form of Mathematical Modeling, Representation of Models through Transfer of State Space Equations, Analytical Solution of Linear and Nonlinear Dynamic Systems. Numerical Integration of Differential Equations. Simulation Languages. Miscellaneous examples and case studies.

3

Quality

Productivity

Quality and productivity as strategic factors for competitiveness. Evolution of quality. Concepts and principles of quality management. Techniques of analysis and improvement of quality. Dynamics of management for quality. Statistical tools and techniques of quality control. Quality management system: objectives, concepts and key stages. PNQ (National Quality Award). Quality costs. Quality in services. Six Sigma Methodology. Concept of efficiency and productivity. Allocation and technical efficiency of resources. Factors that influence technology and productivity. Physical and financial measurement of productivity. Isolated, multiple and total factor productivity. Productivity measurement methods: Kendrick arithmetic index and Solow geometric index. The use of production functions in the measurement of productivity.

3

Innovation Competitiveness

Challenges of globalization and innovation as an alternative. Examples of Technology, invention and innovation. Brazil in the ranking of innovation. Steps towards the innovative company. Concept of Science, Technology and Innovation. Types of Innovation and Technological Innovation. National Innovation System. Support and promotion of Technological Innovation in Brazil. Technology-based companies. Benchmark indicators for benchmarking. Technological qualification of the company. The issue of ethics and the environment.

3

Strategic Production Management

(mandatory)

Strategic Planning: fundamentals and principles; Systemic view of organizations; Strategic management of the organization; Strategic diagnosis: analysis of internal and external scenarios; Strategy formulation and (re) definition of the organization's identity; Business Functions: Breaking of Strategic Objectives, Strategic Production Management, Industrial Planning and Organization, Production Planning and Control, Production Systems, Strategic Production Planning and Integration of Manufacturing Programming with Other Strategic Programs of the Organization.

3

Systems Engineering

(mandatory)

Systems Theory. Business Systems versus Computational Systems. Business and Systems Requirements. Modeling and Design of Systems. Platforms of Computational Systems, Distributed Systems and their evolution to Software Ecosystems. Social, managerial and economic aspects in Ecosystems. Systems Systems. Components and Services in Systems.

3

Quantitative Methods Applied to Engineering

Cycle of a statistical analysis; Organization and presentation of statistical data; Descriptive statistics; Probability: Main distributions of probability; Statistical inference: Notions and sampling techniques; Sample distributions and confidence intervals; Parametric and nonparametric significance tests; Bayesiana; Multivariate models; Hypothesis test; Linear and nonlinear methods; Regression methods; Monte Carlo method.

3

Business   Process Management

Contextualization of processes in organizations. Process basics and organizational modeling. Process improvement and organizational reengineering. Business process management life cycle. Notations and tools for business process modeling. Analysis and process oriented models. Relationship between BPM and technology solutions (ERP, ECM, CRM). Systems for business process management (BPMS). Evaluation of BPMS tools. Continuous improvement of business processes. Change management in BPM.

3

Applied Computer Graphics

Processing, analysis, image synthesis and machine vision. Graphic Primitivas.Formas to treat the images: Vector versus Raster. Clipping. Aliasing¬Antialising. Classification and Applications. Hierarchy. Project of Dialogue and Interaction with the user. Image Storage. Matrix vs. Vector Format. Spatial resolution and color depth. Color systems. Curves and Surfaces. Storage Structures. Modeling of Solids. Representation by: Polygonal faces; Regularized and Regularized Boolean operations. Realizable Solids. Advanced Modeling: Fractal: Lsystems. Modeling by Particle Systems. Two-dimensional transformations ¬ 2D and three-dimensional ¬ 3D. Change of scales, rotations and translations. Projections and Perspectives. Problems with 3D rotations. Animations. Virtual camera, visualization pipeline. Rasterization. Visual Realism. Models of Lighting. Representation techniques. Textures.

3

Data Mining

Exploration of structured data; Knowledge search; Pattern identification. Pre-processing and hygiene of the database; Processing and analysis; Decision rules; Grouping; Association; Mining algorithms and algorithms; Mining quality indicators; Text mining.

3

Microcontrolled Systems for Environmental Monitoring

Introduction. Environmental monitoring. Geochemical Parameters. Applications and Interactivity. Basic concepts related to microcontrollers and microprocessors. Basic electronics. Electronic components. Families of microcontrollers. Programming Logic applied to microcontrollers. Fritzing. Didactic sensors.

3

Seminar for Research I

(mandatory)

The discipline is divided by all permanent faculty, where each one, in the first trimester of the school, will present a seminar on the projects in which he / she works, in order to promote familiarization and identification.

1

Seminar for Research II

(mandatory)

Under the coordination of a teacher of the program, researchers and outstanding innovative professionals will be invited to present their research and actions correlated with the thematic of the program.

Also the work of students in the writing phase of the dissertation will be presentred, in order to mature the students still in the stage of credit compliance, and to promote the scientific debate of the students´ research in the writing phase of their dissertation.

1

Seminar for Research III

(mandatory)

The student body enrolled in the course, which is still in the final stages of the credits, and is in the writing phase of the research project for qualification, under the supervision of a permanent teacher, will present the work done so far in the program, in the Structured form of conference presentation, in order to mature its proposal and discuss its methodological aspects and academic potential, and receive the criticisms and opinions of peers (students and teachers). At the end of the course the student must have the dissertation project ready for qualification.

1

Networks  of Environmental Sensors

Introduction. RSSF concept. Components, Standards and Technologies of Sensor Networks. Nodes, interface nodes, interconnection with sensors and actuators, interconnection pattern. Functional Model for Sensor Networks. Energy in Wireless Sensor Networks. Data fusion. Energy in Wireless Sensor Networks. Wireless Sensor Network Management.

3

Intelligence

In Swarms

Introduction to swarm theory. I social behavior in colonies of ants, termites and bees. Great foraging. Theory of graphs. Clustering. Algorithm of evolution. An optimization algorithm for ant colony (ACO); Particle swarm optimization (PSO); Shuffled frog -leaping algorithm (SFL); Bacterial culture optimization (BFO); Bee colony algorithm (ABC) Behavior of Bees' Mating Behavior (HBMO); Functional optimization. Swarm robotics.

3