Enkeltkurs Systems Engineering : Høgskolen i Buskerud

Enkeltkurs Systems Engineering

Interessert i å ta en mastergrad ved siden av egen jobb? Eller ønsker du å delta som kursdeltager på enkeltkurs? Her finner du en kort beskrivelse av hvert enkelt kurs og oversikt over kursdatoer og påmeldingsfrister.

Enkeltkurs Systems Engineering
Kurstittel	2012
Fundamentals of Systems Engineering	September
System Architecture and Design	12. - 16. mar
Systems Integration	27. aug - 31. aug
Project Management of Complex Systems	19. mar - 23.mar
Systems Thinking	Medio mars Stevens, US
System Supportability and Logistics	16. - 20. jan
System Modelling and Analysis	10. - 14. sep
Advanced Systems Architecting	23. - 27. jan
Mechanical vibrations and advanced materials	4 møter i.l.a. høsten
Signals, Systems and System Identification	Høst
Robust Engineering	17. - 21. sep
Embedded System Modelling using UML	Høst

SEFS 6101 Fundamentals of Systems Engineering

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Target group: Master students 1. year, course participants

This module presents the fundamental principles and processes for designing effective systems, including how to determine customer needs, how to distinguish between needs and solutions, and how to translate customer requirements into design specifications. The focus is on designing systems that not only provide the required capabilities, but that are reliable, supportable and maintainable throughout their lifecycle. The course concludes with a Systems Requirements Review (SRR) in which students present their class projects.

SEAD 6101 System Architecture and Design

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Target group: Master students 1. year, course participants

This module presents the fundamentals of system architecting, including practical heuristics for developing good architectures. It extends the systems engineering process introduced in SDOE 625 through functional analysis, decomposition and requirements flow-down. The implications of open systems architectures and the use of commercial technologies and standards (COTS) are explicitly addressed, as are the linkages between the early architectural decisions, driven by customer requirements and the concept of operations, and system operational and support costs. Prerequisite: SDOE 625 or equivalent.

SESI 6201 Systems Integration

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Target group: Master students 2. year, course participants

This module is designed to provide participants with an understanding of the systems integration (SI) process, the tools and techniques required for successful SI, critical success factors, and best practices.

The module objective is to provide participants with and understanding of technical and business process issues involved in systems integration. Case studies and examples from the IT, defense, energy, and financial services domain will be used to illustrate the concepts discussed.

SEPM 6101 Project Management of Complex Systems

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Target group: Master students, course participants

This module addresses the development and optimized allocation and location of the numerous elements of system logistics support to ensure that a system satisfies its business and operational readiness requirements and effectiveness. Particular focus is placed on the
concept of integrated supply chain and demand management, and the optimization and allocation of a system's logistics resources to ensure maximum availability at the lowest investment in logistics resources.

Participants will also be introduced to the latest thinking and technologies with regard to system training, documentation, inventory management, and transportation.

SDOE 684 Systems Thinking

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Target group: The module is aimed at policy and decision-makers at all levels in an organization. This includes all business, engineering, scientific, and management related disciplines.

It takes something special for the term "system" to have such ubiquity. The downside is that it is overused, improperly so, detracting from its power. This class builds upon a solid conceptual foundation to ensure that the system/enterprise is properly defined, conceived, and realized. Uniquely, the class shows how it is possible to use systems in order to think more deeply and to act more decisively. This approach is made possible by emphasizing the simultaneity of perspectives, the role of paradox, and the centrality of soft issues in resolving complexity. The SystemiToolTM is used to structure and conduct analysis of decisions. This class is aimed at policy and decision-makers at all levels in an organization. Prerequisites: SYS/SDOE 625 or ES/SDOE 621.

Last ned flyer om Systems Thinking

SESL 6201 System Supportability and Logistics

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Target group: Master students, course participants

This module addresses the development and optimized allocation and location of the numerous elements of system logistics support to ensure that a system satisfies its business and operational readiness requirements and effectiveness. Particular focus is placed on the concept of integrated supply chain and demand management, and the optimization and allocation of a system's logistics resources to ensure maximum availability at the lowest investment in logistics resources. Participants will also be introduced to the latest thinking and technologies with regard to system training, documentation, inventory management, and transportation.

SEMA 6201 System Modelling and Analysis

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Target group: Master students 2. year, course participants

The objective of this course is to provide means to model the system, the design of the system, the usage context and the system life cycle in such a way that decisions are supported quantitatively.
The course is based on the extended CAFCR framework. The CAFCR model is a decomposition of an architecture description into five views:

The Customers objective view (what does the customer want to achieve)
The Application view (how does the customer realize his goals) captures the needs of the customer.
The what and how customers view provide the justification (why) for the specification and the design.
The Functional view describes the what of the product, which includes (despite its name) the non-functional requirements.
The how of the product is described in the Conceptual and Realization views.

The CAFCR model is extended with the life cycle context with all creation and product life cycle considerations.

SESA 6201 Advanced Systems Architecting

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Target group: Senior Engineers with experience from system architecting or design.

Decomposition of business processes: primary process, product creation, technology, people and process management, and policy and planning; system architecting, marketing and project management.
Roles, tasks and responsibilities of a system architect; architectural styles.
Requirements elicitation, key drivers, understanding customer context.
Architect toolbox; CAFCR model, story-telling, basic working methods of the architect. Road mapping; market, product, technology, process and people road mapping, road mapping process, visualization, strategy. Product families, generic developments, reusable assets; process and organization, feedback, advantages and disadvantages. Documentation; decomposition, requirements, reviewing.
Role of software; characterization of technologies, application, integration.
Communication with management; presentation, style, language and form, interaction.

SEPD 6201 Mechanical vibrations and advanced materials

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Target group: Master students 2. year, course participants

The purpose of Mechanical Vibration part of the course is to give the student the fundamental concepts of mechanical vibrations and Avanced Materials, preparing for further studies.
Mechanical Vibrations: Practical application of the theory of mechanical vibrations for engineers and scientists working with systems and structures subjected to harsh dynamics environments.
Advanced materials: Light metals: Alloys of Aluminium, Magnesium, Titanium and copper. Polymers, Ceramics, Composites. Rules of mixture. Dislocations and surface defects. Surface science, Dispersion strengthening by phase transformation and heat treatment, Aging. Martensite and shape-memory alloys. Material Selection: General concept, Material Properties for Design. Software practice.

SECE 6201 Signals and systems and system identification

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Target group: Master students 2. year, course participants

The aim of this subject is to give students with different backgrounds a common foundation in signal processing and control engineering in preparation for further studies. Sampling and quantization, discrete systems, the z-transform, frequency response and convolution. The DFT and its application to cyclic convolution and spectral analysis. Nonparametric spectral analysis and minimisation of spectral leakage in practical applications. The principles for divide-and-conquer FFT-algorithms. Design of FIR and IIR filters and filter structures. Basic properties of filter banks and some typical applications. Correlation. Introduction to stochastic signals and systems, state estimation using the Kalman filter, parameter estimation using the Kalman filter, the least squares method, prediction error methods and subspace methods, application of estimated models and states for analysis, design and implementation of control systems. MatLab/Simulink and will be extensively used for the course work.

SERE 6301 Robust Engineering

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Target group: Master students 3rd year, course participants

The goal with this course is to:

convey the basic principles of Robust Design and Engineering
form a deeper understanding of the customer value of a product
get a deeper understanding of quality and its relation to robustness

Historical background of Robust Design and the contributions from Dr. Genichi Taguchi. The concept of Robust Design. Definition of customer value. The evolution of customer value over time. A product's interaction with the customer thru various stages. Needs, Functions, Solutions and Processes. The Kano model. Contributions to customer value expressed in a functional domain. Definition of quality and robustness. Reduction of variability and adjustment of mean. Noise factors and control parameters. Signal-to-Noise ratio and Response tables. Ideal function. Noise strategies. P diagram. Orthogonal arrays. Interactions between control parameters. The quadratic loss function. Analysis of experimental data in Excel.
Hands-on optimization of a simple design.

SERE 6301 Robust Engineering

SEES 6201 Embedded System Modeling using UML

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Course description:

This module is designed to provide the participants with an understanding of the development of embedded systems with an emphasis on analysis and the design modeling of software using UML. The course module will cover the main diagrams of UML and their use, conventions, techniques and practices. The course will include practical exercises using professional development tools. Prior experience from object-oriented programming in Java or C++ will be advantageous.

The learning outcome from this course:

Be able to model complex technical computer systems using UML (Unified Model Language)
Be able to communicate with domain experts and other professionals in an embedded system engineering project.
Be able to work within a project team and critically reflect on roles and responsibilities in such projects.

Opprettet: 15.03.2010 14:47 av Jan-Henrik Kulberg
Oppdatert: 27.12.2011 14:14 av Jan-Henrik Kulberg