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Master Thesis Analysis And Specification Of An ... !FREE!

Formal foundation of the theory and practice of software specification; production of correct, consistent, and reliable software systems by expressing the requirements of the system in formal ways. Formal and informal requirements analysis and specification techniques, the relation of analysis and specification to concerns of validation and verification, maintenance, and reusability.

Master Thesis Analysis and Specification of an ...

Theoretical basis of the development of computer science. The course details particular formalisms used in the design of hardware and software systems. Intrinsic limitations of computation are described. Advanced topics of automata theory and analysis of algorithms are included. The course also covers Turing machines, the halting problem, models of computation, intractable computations, polynomial reductions, P vs. NP, parallel algorithms, various formal descriptions and specifications of programs and computations, and proofs of program correctness and interactive proof systems.

Students in the Software Engineering M.S. program complete 30 units of graduate work, including 6 units involving a thesis. The core of the program comprises advanced courses in software engineering processes, including requirements analysis, software design and implementation, verification and validation, quality assurance, software maintenance and software project management. The electives may be chosen to form a concentration in an area of specialization or to provide a broadly based program of study, whichever is more consistent with the selected thesis.

Familiarizes students with the application of statistical quality problem-solving methodologies used to characterize, leverage, and reduce process variability. This course emphasizes the application of sampling methodologies, sample size determination, hypothesis testing, analysis of variance, correlation, regression, measurement systems analysis, design and analysis of saturated experimental designs, design and analysis response surface experimental designs, and statistical process control.

This introductory course on computer simulation covers spreadsheet simulation, discrete event simulation, system dynamics simulation and agent-based simulation with the focus on key statistical analysis of data and practice-oriented theory. Topics include generating random numbers and varieties, selecting input probability distribution, hypothesis testing for the statistical and practical significance of simulation through lab assignments, and test their gained skills in team projects inspired by real world simulation applications.

Failure to comply with all thesis specifications and formatting requirements may delay your graduation. Unless the Faculty of Graduate and Postdoctoral Studies has given consent in advance, theses that do not comply with these specifications will not be approved.

Overview of quality and managing quality, Define Measure Analyze Improve Control (DMAIC), the six sigma approach to quality, visual representation of data, Pareto charts, histograms, process capability vs specification (process) limits, t-tests, ANOVA, and other statistical hypothesis testing in quality, normal probability plots, control charts, measurement system analysis, application of regression analysis to manufacturing and/or design, Minitab.

This course covers the fundamentals of phased array systems, including contemporary and advanced methods. The principles apply to both high capability sensors and low-cost systems. Applications range from advanced and commercial radar to remote sensing, and multiple channel communications. The subject matter includes: fields and waves analysis, domain analysis, fundamentals of array theory, far field synthesis, Floquet theory, aperture weighting functions, impedance and mutual coupling theory, aperture design, beamforming methods, feed networks, array error analysis, system requirements and sizing, and system design

This lab course is offered as a practical Supplement to the material taught in EECE.5370 Microwave Systems Engineering. The students will perform cascade analyses using measured data to compare with analysis computed from nominal values given in component specifications. Monte Carlo analyses will also be performed to predict performance variation. Students will configure test setups to illustrate signal generation, up/down conversion and signal detection. Additionally, the students will configure a radiated test setup in an anechoic chamber to measure and validate link budget calculations based on the Friis transmission equation. This course will consist of five three-hour labs, each requiring a detailed report of the results

Error detection and correction codes. Minimization of switching functions by Quine-McCluskey (tabular) methods. Minimization of multiple-output circuits. Reed-Muller polynomials and exclusive-OR circuits. Transient analysis of hazards. Hazard-free design. Special properties of switching algebra. Programmable logic devices. Analysis and synthesis of fundamental-mode and pulsed-mode sequential circuits. Test sets and design for testability.

The course covers the methodology and tools to design digital systems with MATLAB. Topics include algorithm design and analysis with MATLAB, MATLAB Simulink development, conversion from algorithm to VHDL implementation, synthesis to FPGA and performance evaluation. Labs are included to practice design methodology and tools with FPGA or other platforms.

The Advanced Project is a substantial investigation of a research topic under the supervision of a faculty member. A written proposal must be on file in the Electrical & Engineering Graduate Office before enrollment. A written report is required upon completion of the project. This course can be taken only once, and may evolve into a master's thesis. However, credit for this course will not be given if thesis credit is received.

A master's thesis project is a course - with examination - not an internship or other work practice. For this reason it is important that everyone connected with a thesis project are aware of the requirements so that there will not be problems at the conclusion of the project.

The master's thesis project is the final part of a four to five year long undergraduate study program. During the project, the student should demonstrate that he/she can apply the knowledge acquired during the study program. Problems and solutions should be treated in a scientific manner. The project should involve additional study in some subject area. It is important that the student studies relevant (scientific) literature as well as any related work. The project should conclude with an extensive analysis of the project itself and its results. Again note that in Sweden, a master's degree is an undergraduate degree, so the student is not expected to do original research (although that is certainly allowed). The total effort of the thesis project - including writing the report - should be about 20 weeks of full-time work.

Formally, the goal of the master's thesis project is "to give the student training in planning, carrying out and presenting an independent piece of work and to provide contact with research and development."

This means that not all projects are suitable as master's thesis project. Projects primarily involving implementation (program design/coding/testing/debugging) work are not generally acceptable as master's thesis projects. (Although sometimes an implementation project can be made acceptable by including suitable design issues.) As a rule of thumb, not more than a third of the project should be implementation work. If the implementation presents particular challenges which are connected to the subject of the thesis project, then up to half the effort may be implementation. Also, projects where the student is continually working from instructions is also generally not acceptable as the student should carry out independent work. If the student is studying for an engineering degree, there is the additional requirement that the subject of the project should be relevant from an engineering point of view.

The thesis project is initiated by the student writing a thesis specification with the assistance of the supervisor. The specification (typically 1Â-3 pages in length) should include a description of the proposed work, background, methodology and expected results as well as a time plan.

The master's thesis is an individual research paper, which should meet the general requirements to scientific publication. The purpose of the master's thesis is to conduct an analysis of a research question within the field of political science, and present the results of your analysis.

We propose a semester/thesis project for masters students, andskilled bachelors students with software development expertise in whichwe will compartmentalize high-risk software. Prime examples of suchsoftware are webservers, browsers and operating systems. We are open toother suggestions. We would like to eventually have a set ofrepresentative software comprising a benchmark suite against which toevaluate the different compartmentalization techniques.

This project can be performed by either bachelor or master students,as there are different challenging codebases that can be addressed. Itis also possible to do a master thesis out of it by creating acompiler-based framework that outlines in a sound way the possibleprotections an application can receive and analyzes them.

Within the framework of the Master's Thesis course, you will explore different ways of finding information, defining the scope of a project and doing research, as well as different ways of communicating the results. The Master's thesis course includes the stages of defining a topic and formulating a problem statement, selecting and reviewing relevant literature, designing an empirical study as well as performing it, including data collection and analysis, analysing the empirical data, make theoretical conclusions and finally writing and rewriting a written report called a Master's thesis. Students will work in pairs to write the thesis. 041b061a72


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