Master thesis computer networks

Master thesis computer networks

The Computer Networking Master’s program (thesis and non-thesis) is a joint effort between Computer Science and Electrical and Computer Engineering, in collaboration with the College of Management, and is intended for students who wish to pursue careers in operations, services, development, and research in the networking and IT industries Computer Engineering is a discipline that embodies the science and technology of design, construction, implementation, and maintenance of software and hardware components of modern computing systems, computer-controlled equipment, and networks of intelligent devices The EPFL program offers specializations in the following areas: computer engineering data analytics foundations of software cyber security networking and mobility signals, images and interfaces software systems wireless communications computer science theory internet information systems Program’s objectives EPFL has recently recruited several world-class professors performing cutting-edge

Thesis - Wikipedia

Students who wish to pursue studies in computer science leading to the degree of Master of Computer Science MCS or Doctor of Philosophy in Computer Science PhD can do so in joint programs offered by the School of Electrical Engineering and Computer Science EECS at the University of Ottawa and the School of Computer Science at Carleton University under the auspices of the Ottawa-Carleton Institute for Computer Science OCICS.

The Institute is responsible for supervising these programs and for providing a framework for interaction between the universities in graduate computer science education. In addition to the faculty members from the two computer science programs, the Institute also has members with computer science expertise from other departments. Successful completion of the program will prepare graduates with strong analytical skills that are able to effectively work in a variety of settings.

They will be immersed into a comprehensive and master thesis computer networks curriculum to develop the necessary knowledge to apply the correct algorithms, to obtain insights from a rich variety of data, and to communicate the results in an effective manner.

The estimated amount for university fees associated with this program are available under the section Finance your studies. International students enrolled in a French-language program of study may be eligible for a differential tuition fee exemption. Graduate Studies Office, Faculty of Engineering STE King Edward Ave. Ottawa ON Master thesis computer networks K1N 6N5. grad uottawa. Twitter Faculty of Engineering Facebook Faculty of Engineer.

For the most accurate and up to date information on application deadlines, master thesis computer networks, language tests and other admission requirements, please visit the specific requirements webpage, master thesis computer networks. Note: International candidates must check the admission equivalencies for the diploma they received in their country of origin.

Applicants must be able to understand and fluently speak the language of instruction French or English in the program to which they are applying.

Proof of linguistic proficiency may be required. Applicants whose first language is neither French nor English must provide proof of proficiency in the master thesis computer networks of instruction. In order to apply to the co-op option, you must first be admitted to a program that offers co-op.

The co-op option is not available to MCS students in the Accelerated Stream. Your application must be submitted by the end of the first month of enrollment in your primary program, i. Admission to the co-op option occurs on a competitive basis and is managed by the Co-op Office.

Enquiries should be directed to that office. Applicants who lack the required undergraduate preparation may be admitted to a qualifying-year program. A major degree holder with superior academic standing may be considered for admission to the qualifying year with suitable background preparation. Requirements for this program have been modified.

Please consult the calendars for the previous requirements. A student may be permitted to carry out thesis work off campus provided suitable arrangements are made for supervision and experimental work, and prior approval is obtained from the Program Coordinator.

The Thesis must fall within the area of Applied Artificial Intelligence. Master thesis computer networks are required to present master thesis computer networks work at an applied AI seminar prior to submitting their thesis.

Students are required to attend at least three applied AI seminars prior to submitting their thesis. Students are responsible for ensuring they have met all of the thesis requirements. Subject to the approval of the Program Coordinator, a student may take up to half of the course units in the program in other disciplines e. electrical engineering, mathematics and physics. The Project CSI must fall within the area of Applied Artificial Master thesis computer networks. Students are required to present their work at an applied AI seminar prior to submitting to graduating.

Students are required to attend at least three applied AI seminars prior to graduating. uOttawa focuses research strengths and efforts in four Strategic Areas of Development in Research SADRs :.

With cutting-edge research, our graduate students, master thesis computer networks, researchers master thesis computer networks educators strongly influence national and international priorities. For more information, refer to the list of faculty members and their research fields on Uniweb. Not all of the listed courses are given each year. The course is offered in the language in which it is described. A 3-unit course at the University of Ottawa is equivalent to a 0.

Materialized and virtual approaches to integration of heterogeneous and master thesis computer networks data sources. Emphasis on data models, architectures, logic-based techniques for query processing, metadata and consistency management, the role of XML and ontologies in data integration; connections to schema mapping, data exchange, and P2P systems.

This course is equivalent to COMP at Carleton University. KR is concerned with master thesis computer networks knowledge and using it in computers. Emphasis on logic-based languages for KR, and automated reasoning techniques and systems; important applications of this traditional area of AI to ontologies and semantic web.

CSI Topics in Medical Computing 3 units. Introductory course on data structures, algorithms, techniques, and software development related to medical computing in particular spatial modeling.

Topics may include: computational geometry algorithms for cancer treatment, medical imaging, spatial data compression algorithms, dynamic programming for DNA analysis. CSI Network Security and Cryptography 3 units. Advanced methodologies selected from symmetric and public key cryptography, network security protocols and infrastructure, identification, anonymity, privacy technologies, secret-sharing, intrusion detection, firewalls, access control technologies, and defending network attacks. Prerequisites: familiarity with basic concepts in networks, network security, and applied cryptography.

Security in encryption algorithms. Encryption and decryption. Entropy, equivocation, and unicity distance. Cryptanalysis and computational complexity. Substitution, transposition, and product ciphers. Symmetric ciphers: block and stream modes. Modular arithmetic. Public key cryptosystems. Factorization methods. Elliptic curve, lattice-based, and homomorphic cryptography. Proofs of security. Course Component: Discussion Group, Master thesis computer networks, Lecture, Research, Seminar, Work Term, Theory and Laboratory, Tutorial.

CSI Principles of Formal Software Development 3 units, master thesis computer networks. Methodologies in formal software specification, development, and verification, master thesis computer networks. Master thesis computer networks use of theorem proving, automated deduction, and other related formal methods for software correctness. Applications in program verification and secure computation. CSI Software Quality Engineering 3 units.

Software quality issues. Quality components and metrics. Software process quality. Software reliability engineering. Software design for testability. Requirements capture and validation. Systematic design validation; grey-box approach, test design, implementation and management, case studies in validation and verification of communications software. Object-oriented design and test.

Theoretical aspects. Topics of current interest in Software Engineering, such as requirements engineering, precise and advanced modelling, development processes, change management, standards, and emerging types of applications. CSI Foundations Programming Languages 3 units. Advanced study of programming paradigms from a practical perspective. Paradigms may include functional, imperative, concurrent, distributed, generative, master thesis computer networks, aspect- and object-oriented, and logic programming, master thesis computer networks.

Emphasis on underlying principles. Topics may include: types, modules, inheritance, semantics, continuations, abstraction and reflection. CSI Database Analysis and Design 3 units. The dimensional and multidimensional data models for data warehousing. Data dependencies and decomposition. Structure and use of data definition and manipulation languages.

Database economics, engineering, deployment and evolution. Issues in integrity, security, the Internet and distributed databases. Relationships to decision support systems. CSI Authentication and Software Security 3 units. Specialized topics in security including advanced authentication techniques, user interface aspects, electronic and digital signatures, security infrastructures and protocols, software vulnerabilities affecting security, non-secure software and hosts, protecting software and digital content.

CSI Automated Verification and Validation of Software 3 units. Simple methods of data structure design and analysis that lead to efficient data structures for several problems. Topics include randomized binary search trees, persistence, fractional cascading, self-adjusting data structures, van Emde Boas trees, tries, randomized heaps, and lowest common ancestor queries.

Design principles and metrics for usability. Qualitative and quantitative methods for the evaluation of software system usability: Heuristic evaluation, usability testing, usability inspections and walkthroughs, cognitive walkthroughs, formal usability experimentation. Ethical concerns when performing studies with test users.

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Master of Science (blogger.com) Computer Science (Non-Thesis) | eCalendar - McGill University

Computer Engineering is a discipline that embodies the science and technology of design, construction, implementation, and maintenance of software and hardware components of modern computing systems, computer-controlled equipment, and networks of intelligent devices Computer Science (Sci): Techniques related to microarrays (normalization, differential expression, class prediction, class discovery), the analysis of non-coding sequence data (identification of transcription factor binding sites), single nucleotide polymorphisms, the inference of biological networks, and integrative Bioinformatics approaches Master of Applied Science (blogger.com) Timely completion of the blogger.com degree requirements is a condition of financial support and continued registration