Advanced European MSc in Network Centred Computing (NCC)

Transcription

1 Advanced European MSc in Netwk Centred Computing (NCC) Awarding Institution: The University of Reading Teaching Institution: The University of Reading Faculty of Science Programme length: 12 months F students entering in 2003 Date of specification: Programme Direct: Profess Vassil Alexrov Board of Studies: MSc in Netwk Centred Computing BoS Accreditation: - Summary of programme aims The Advanced European MSc program in NCC aims to provide training f Honours graduates ( equivalent'') whose career aims include Netwk Centred Computing in a broad sense with focus through different streams on E-commerce Software Engineering & HCI, High Perfmance Computing Communication, Cybernetics. This is a two semester European program consisting of six months taught component (part 1) 6 months project placement (part 2). The programme aims to develop reinfce the net-centric approach to problem-solving; to develop the intellectual practical skills of the students in recognising, fmulating, defining imptant problems from multidisciplinary point of view; to devise efficient techniques to solve imptant scientific industrial problems on systems ranging from the local cluster to the GRID. Transferable skills covered are personal effectiveness, interpersonal skills, teamwk, technical communication (al written) interview techniques, project management, selfmanagement, risk assessment, efficient deployment of software tools, computer systems evaluation, marketing business awareness f the streams with me business ientation as well as research technical writing skills. Programme content The course content gives a broad in-debt coverage of state-of-the-art parallel, scientific netwk computing, including computer architectures; parallel algithm design; modern scientific languages; tools environments f advanced architectures; tools environments f netwk-centred computing; tools environments f scientific computation; collabative computing virtual reality, e-payments security, scientific foundations of image processing computer vision, knowledge discovery, data mining web development, etc. Graduates, depending on the stream they are selecting will be well equipped to pursue a career in the area of e-business mobile computing, parallel scientific netwk computing, software engineering in industry / research respectively. CORE MODULES Credits Level SEMC1A Advanced Programming on UNIX (option 1) not f students in HPCC Cybernetics streams SEMC1B Programming in Delphi (option 2) SEMC02 Netwk Computing SEMC03 Computer Architectures SEMC04 Object Oriented Design SEMC05 Internet Computing Environments SEMC06 Transferable Skills High Perfmance Computing Communication stream Credits Level

2 SEMS1A Linear Algebra part 1 SEMS1B Linear Algebra part 2 SEMS07 Collabative Virtual Environments SEMS02 Scientific Foundations of Digital Image Processing SEMS03 Parallel Algithms SEMS04 Programming Algithmic Techniques f SEMS05 SEMS06 Advanced Architectures Computation in Neural Evolutionary Systems (optional module 1 ) Broadb Communication/ATM (optional module 2) Electronic Commerce stream Credits Level SEMS14 Databases & Advanced DBMS SEMS10 Knowledge Discovery & Data mining SEMS11 E-Marketing & Infmation Design SEMS12 E-commerce web Development SEMS08 SEMS13 SEMS07 SEMS15 E- Payment & Security (option 1, module 1) Mathematics f Management (option 1, module 2) Collabative Virtual Environments (option 2, module 1) GUI/Web Design (option 2, module 2 ) Software Engineering HCI stream Credits Level SEMS09 Multimedia Software Engineering SEMS10 Knowledge Discovery & Data mining SEMS17 Computer Graphics 20 M SEMS07 SEMS15 SEMS06 SEMS16 Collabative Virtual Environments (option 1, module 1) GUI/Web Design (option 1, module 2 ) Broadb Communication/ATM (option 2, module 1) Scientific Foundations of Computer Vision (option 2, module 2) Advanced Cybernetics stream Credits Level SEMS19 Bionic Systems

3 SEMS20 Mind as Motion: Dynamical Foundations of Intelligence SEMS16 Fundamentals of Computer Vision SEMS05 Computation in Neural Evolutionary Systems SEMS21 Advanced Control (option 1, module 1 ) SEMS22 SEMS18 SEMS07 Advanced Instrumentation (option 1, module 2) Manipulat Robotics (option 2, module 1) Collabative Virtual Environments (option 2 module 2) Optional Modules across the streams Credits Level SEMS23 Wireless Local Area Netwks SEMS24 OS Netwk Administration SEMS25 Management IT Modular arrangements This is a modular program of one two week long modules by design, consisting of set of six ce modules 60 credits four streams, where stream modules f 60 credits me are selected within the stream in accdance with the options provided. There are options offered only f specific stream others offered across several all the streams. A week module consists usually of 30 contact hours lectures/practicals (labs) expects overall wk from the student wth 10 credits. Part-time Part-time option is available over 2 years. The taught component (12 modules with pass mark) is expected to be taken during the first 12/18 months since the program has two intakes, October February, these modules can be taken in a flexible way. Progression requirements Continuation to the project stage is determined by the Board of Examiners in accdance with the University Framewk f Postgraduate Courses where the requirements to qualify f an award of: an MSc (210 credits), achieving 120 credits (mark 50% me in every taught module); from the taught part 90 credits from the Dissertation; PG Diploma (120 credits) achieving at least 90 credits on the taught part with overall mark of 50% above, 50% me on the individual modules. Students who do not satisfy the passing grade f MSc choose not to proceed to a 90 credits dissertation, will be allowed to proceed to a Diploma subject to the satisfacty completion of a further programme of study (nmally f three months) submission of a "Mini-dissertation'' wth of 30 credits as specified by the Board of Examiners. PG Certificate (60 credits) are the achievement of a mark 50% me in every taught module;

4 Overall examination result Usual recommendation 50% me on each module on 12 modules Continue to MSc Degree dissertation 50% me on each module on 9 modules Continue to PG Diploma dissertation 50% me on each module on 6 modules PG Certificate 49% less on me than 6 modules Fail Students may continue to the MSc/Diploma project pending resit(s) in accdance with the University of Reading regulations. Summary of teaching assessment The University s taught postgraduate marks classification is as follows: Mark Interpretation % Distinction 60 69% Merit 50 59% Good stard (Pass) Failing categies: 40 49% Wk below threshold stard 0 39% Unsatisfacty Wk F Masters Degrees Students who gain an average mark of 70 me overall including a mark of 70 me f the dissertation will be eligible f the award of a Distinction. Those gaining an average mark of 60 me overall including a mark of 60 me f the dissertation will be eligible f the award of a Merit. F PG Diplomas Students who gain an average mark of 70 me will be eligible f the award of a Distinction. Those gaining an average mark of 60 me will be eligible f the award of a Merit. Teaching/learning methods strategies Acquisition of knowledge is achieved through lectures, practicals seminars. Me advanced knowledge concepts is gained based on the above techniques through teamwk, team projects, individual projects directed self-paced study learning. methods are specified f each module. These are exams, project assignments, al presentations dissertation. Admission requirements Entrants to this programme are nmally required to have obtained: F students with BSc other First Cycle Degree in Sciences: A good honours degree with sufficient mathematical content computing experience equivalent qualification background as approved by the University. Typically, graduates in Computer Science, Cybernetics, Engineering, Mathematics Physics, in joint Mathematics/Computer Science will be acceptable. F non-science graduates: A good honours degree with sufficient mathematical content computing experience is required as approved by the University. Admissions Tut: Mr. David Cne

5 Suppt f students their learning University suppt f students their learning falls into two categies. Learning suppt includes IT Services, which has several hundred computers the University Library, which across its three sites holds over a million volumes, subscribes to around 4,000 current periodicals, has a range of electronic sources of infmation houses the Student Access to Independent Learning (S@IL) computer-based teaching learning facilities. There are language labaty facilities both f those students studying on a language degree f those taking modules offered by the Institution-wide Language Programme. Student guidance welfare suppt is provided by Programme Directs, the Careers Advisy Service, the University s Special Needs Advis, Study Adviss, Hall Wardens the Students Union. Career prospects The program is an example of the collabation with industry in creating a model ICT curricula through the Career Space constium ( Different streams are focused on different job profiles: High Perfmance Computing Communication is focused toward following job profiles: Software Architecture Design, Systems Specialist, DSP Applications Design, Communications Netwk Design, Software & Applications Development, Data Communications Engineering, Integration/Implementation & Test Engineering. Electronic Commerce is focused towards following job profiles : Software Architecture Design, Systems Specialist, Communications Netwk Design, Software & Applications Development, Multimedia Design, Data Communications Engineering, IT Business Consultancy, Product Design. Software Engineering HCI is focused towards following job profiles : Software Architecture Design, Systems Specialist, Communications Netwk Design, Multimedia Design, Software & Applications Development, IT Business Consultancy, Technical Suppt, Product Design, Integration/Implementation & Test Engineering. Advanced Cybernetics is focused towards specific job profiles requiring advanced cybernetics subject areas knowledge expertise. Opptunities f study abroad f placements Study abroad is through exchange with our EU partners through the EC SOCRATES program / on individual basis as far as student project placements are concerned. Educational aims of the programme The Advanced European MSc program in Netwk Centred Computing takes a net-centric approach aims to teach the students of the new way to conduct multidisciplinary research based on advanced computing techniques, where the netwk is the computer enabling scientific discovery through advanced computing focusing on High Perfmance Computing Communication, E-commerce, Software Engineering & HCI, Cybernetics. The main aims are: To prepare students f critical evaluation testing of computer systems, to efficiently deploy they, practices tools f the specification, implementation of complex computer systems. To Prepare students f teamwk

6 To Prepare students f employment focusing the program to set of job profiles as described in Career Space constium. To enable students to engage in life-long learning. Programme Outcomes A. Knowledge understing of: Understing how to solve complex scientific problems in a netwked environment Algithmic thinking, advanced models of computation, analysis of algithms complexity, techniques f its estimation measurement, existence of intractable problems Knowledge of advanced programming communication techniques f netwked architectures Knowledge of Web based systems building Web applications Multimedia data technologies Netwk security Wireless mobile computing Specific body of knowledge through each stream such as: E-payments, Computer Graphics Techniques, Advanced Instrumentation etc. Knowledge Understing Teaching/learning methods strategies Acquisition of knowledge is achieved through lectures, practicals seminars. Me advanced knowledge concepts are gained based on the above techniques through teamwk, team projects, individual projects directed selfpaced study learning. methods are specified f each module. There are exams, project assignments, al presentations Dissertation. B. Intellectual skills able to: Skills other attributes Teaching/learning methods strategies Integration of They practice Critical evaluation software environments, their limitations suggest improvements Synthesise infmation from data f decision making Advanced decision making Analyse results of advanced computational experiments Demonstrate skill necessary to plan conduct advanced research Demonstrate ability to understing explain advanced concepts, principles they related to Netwk Centered Computing Computing Applications Project wk, tutials, seminars coursewk assignments. Open-ended project wk is permitting the students to demonstrate the achievements of all learning outcomes in this categy. Through fmal examination, coursewk practical project wk. Methods f assessment are: research repts, essays, al presentations open closed book examination.

7 C. Practical skills able to: Critically evaluate the problems choose appropriate methods algithms f their efficient solution. Applying advanced methods techniques f solving complex problems Use advanced theies concepts to explain complex processes Manage practical projects efficiently Consider analyse the problem to be solved from multidisciplinary point of view. Evaluate analyse the outcomes of computational experiment. Write an efficient complex piece of code. Efficiently deploy appropriate they, practices tools f the design, evaluation implementation of computer systems D. Transferable skills able to: Capacity to learn intensively Capacity to communicate efficiently by written verbal means To write research repts papers To do efficient search of infmation select the relevant one. Problem solving skills Ability to wk as part of a team Ability to wk independently Project planning time/task management through individual/team project Teaching/learning methods strategies Practical skills are developed through a practical project wk, tutials course wk assignments. Especially the open-ended project practical wk is designed to permit students to show achievement of all the learning outcomes in this categy. The skills are taught embedded as integral part of various modules. The skills are assessed via the course wk assessment as parts of the mark are awarded f achieving a level of skill appropriate f a postgraduate student (as recommended by the professional bodies in the field). Teaching/learning methods strategies A separate module on Transferable Skills which includes lectures, practical exercises, fmal al presentations written assignments. These skills are further developed throughout the programme through assignments, team projects team wk as well as tutial seminar wk. Coursewk assignments, Essays, Technical Repts, Seminars Fmal Presentations. Please note: This specification provides a concise summary of the main features of the programme the learning outcomes that a typical student might reasonably expect to achieve demonstrate if he/she takes full advantage of the learning opptunities that are provided. Me detailed infmation on the learning outcomes, content teaching, learning assessment methods of each module can be found in module programme hbooks.