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1. Admissions/ Management Information
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Title of the programme – including any lower awards
Please provide the titles used for all awards relating to this programme. Note: all programmes are required to have at least a Postgraduate Certificate exit award.

See guidance on programme titles in:
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Masters MSc Intelligent Robotics
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Postgraduate Diploma PGDip Intelligent RoboticsPlease indicate if the Postgraduate Diploma is available as an entry point, ie. is a programme on which a student can register, is an exit award, ie. is only available to students exiting the masters programme early, or both.Exit
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Postgraduate Certificate PGCert Intelligent RoboticsPlease indicate if the Postgraduate Certificate is available as an entry points, ie. is a programme on which a student can register, is an exit award, ie. is only available to students exiting the masters programme early, or both.Exit
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Level of qualificationLevel 7
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This document applies to students who commenced the programme(s) in:2021
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Awarding institutionTeaching institution
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University of York University of York
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Department(s):
Where more than one department is involved, indicate the lead department		Board of Studies
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Lead Department Department of Electronic EngineeringDepartment of Electronic Engineering
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Other contributing Departments:
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Route code
(existing programmes only)		PMELESIRO1
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Admissions criteria
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Applicants are normally expected to hold (or expected to gain) the equivalent of a 2.1 honours degree or above from a university recognised by the University of York. This degree should either be in computer science, computer science/mathematics joint honours, electronic engineering, mechanical engineering or a related subject. We are willing to consider applications from students with lower qualifications, particularly when the student has high marks in relevant modules and/or appropriate industrial experience. For applicants whose native language is not English, the minimum University English language requirements of IELTS 6.0 (with at least 5.5 in each of the four language components) or the equivalent are required.
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Length and status of the programme(s) and mode(s) of study
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ProgrammeLength (years/ months) Status (full-time/ part-time)
Please select		Start dates/months
(if applicable – for programmes that have multiple intakes or start dates that differ from the usual academic year)		Mode
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Face-to-face, campus-basedDistance learningOther
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MSc Intelligent Robotics1 yearFull-timeSeptemberPlease select Y/NYesPlease select Y/NNoN/A
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Language(s) of study
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English
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Language(s) of assessment
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English
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2. Programme accreditation by Professional, Statutory or Regulatory Bodies (PSRB)
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2.a. Is the programme recognised or accredited by a PSRB
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Please Select Y/N: Yes
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2.b. Name of PSRB
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IET (Institute of Engineering and Technology)
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2.c. Please provide details of any approval/ accrediation event needed, including: timecales, the nature of the event, central support / information required:
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Department Reapproval for IET accreditation takes place in 2024.
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2.d. Are there any conditions on the approval/ accreditation of the programme(s)/ graduates (for example accreditation only for the full award and not any interim award)
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Although the university allows 40 credits of compensation, for the degree to remain IET-accredited, students can only be compensated in 30 credits. If a student has over 30 credits of compensation but has met the university progression requirements of 40 credits of compensation, they may be given the opportunity to resit compensated modules in order to reduce the compensation to 30 credits and remain on an accredited degree. Students who do not meet the IET criteria for accreditation will graduate with MSc Robotics
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3. Additional Professional or Vocational Standards
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Are there any additional requirements of accrediting bodies or PSRB or pre-requisite professional experience needed to study this programme?
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Please Select Y/N: Noif Yes, provide details
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4. Programme leadership and programme team
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4.a. Please name the programme leader for the year to which the programme design applies and any key members of staff responsible for designing, maintaining and overseeing the programme.
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Dr Mark Post
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5. Purpose and learning outcomes of the programme
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5.a. Statement of purpose for applicants to the Masters programme
Please express succinctly the overall aims of the programme as an applicant facing statement for a prospectus or website. This should clarify to a prospective masters student why they should choose this programme, what it will provide to them and what benefits they will gain from completing it.
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The use of robotics in many aspects of life is on the increase. From autonomous transportation, to farm machinery, to medical and environmental applications, to logistics, robots are present. Developing robots that are capable of adapting, and learning from experience, is a significant driver in the robotics industry and at the cutting edge of research development. The MSc Intelligent Robotics provides you with the tools and skills necessary to become a leader in these expanding areas. Through lectures and hands-on experience, you will learn about the development of mechanisms, control systems, algorithms that can learn and adapt, and swarm systems - multiple robots working together. There is a strong focus on practical implementation, both in hardware and simulation. The MSc culminates in a large research project focussed on collective robotic systems, ranging from ground-based units to flying robots and new mechanisms at variable scales for manufacturing. You will work in a state of the art, dedicated, robotics laboratory for some modules and the final project (see the York Robotics Laboratory website for more details on the lab). This will prepare you for employment in robotic and autonomous systems related industries or pursuing further research into Intelligent Robotics. Example careers in the rapidly expanding field of robotics include service industries, manufacturing, automation, logistics or the entertainment industry.
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5.b.i. Programme Learning Outcomes - Masters
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PLOOn successful completion of the programme, graduates will be able to:
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1Subject Knowledge: Conduct research and development in intelligent robotics design, theory and practice to advance the state of knowledge in intelligent robotics.
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2Engineering Analysis: Extract and critically evaluate literature and other data about complex robotic systems from simulations and hardware deployment using analytical, statistical, and computational methods.
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3Engineering Design: Create innovative and optimised designs to address intelligent robotics research problems involving hardware and/or software by synthesising novel ideas into practical solutions.
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4Practical Skills: Apply professional skills of programming, control and design to independently address challenging research-based problems of intelligent robotic systems.
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5Technical Communication: Communicate, debate, and contextualise information in a succinct and technically accurate manner for engineers and non-technical audiences, and to write and interpret technical documentation.
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6Management & Personal Development: Proficiently manage themselves, teams and complex projects in preparation for technical careers as leaders in intelligent robotics.
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5.c. Explanation of the choice of Programme Learning Outcomes
Please explain your rationale for choosing these PLOs in a statement that can be used for students (such as in a student handbook). Please include brief reference to:
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i) ... in what way will these PLOs result in an ambitious, challenging programme which stretches the students?
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The PLOs for this programme have been developed by the programme team as the best way of capturing the skills and competencies that graduates of the programme will be able to demonstrate. PLO1 indicates that the specialist robotics, control & programming knowledge gained will be actively applied in individual research, working at the cutting edge of intelligent and autonomous robotics research. PLOs 2-4 represent the main skillset that engineers are expected to have - that of analysing complex problems in today's world, designing innovative solutions, and having the practical technical ability to bring novel ideas into being. This programme specifically develops an engineering skillset that is applicable in the world of intelligent robotic systems. PLO5 emphasises the importance of an engineer being able to communicate their questions, analysis, findings and solutions to a variety of audiences via a variety of media. PLO6 crystalises the need in the modern world for engineers to be effective team-players, adaptable to working alone or in different sized teams for a variety of different purposes. Together these PLOs bring together up-to-date knowledge, cutting-edge engineering skills, with the abiility to work effectively with others and communicate with the wider world.
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ii) ... in what way will these PLOs produce a programme which is distinctive and advantageous to the student?
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York has been developing programmes in this area for many years and staff have a wide range of experience in the core subject knowledge, working on related research projects, and guiding students through the process of learning and practically experiencing the subject. The PLOs form a series of learning ladders that ensure that the different strands of learning receive full coverage across the programme. Whilst students need to learn a good deal of information about their subject, the job of a university in today's knowledge-rich world, is to provide context, guidance and experience of applying that knowledge in practice. For this programme in Intelligent Robotics, students will gain knowledge, experience and confidence in a combination of areas that are of direct applicability to today's major research topics in autonomous systems, swarm robotics and control systems engineering.
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iii) ... how the design of the programme enables students from diverse entry routes to transition successfully into the programme? For example, how does the organisation of the programme ensure solid foundations in disciplinary knowledge and understanding of conventions, language skills, mathematics and statistics skills, writing skills, lab skills, academic integrity
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Prior to arrival: Students receive newsletters with information about the programme.
Upon arrival: 3 afternoon intensive induction specifically designed to introduce students to the way we do things here at York, to level the understanding playing field; to give students the chance to get to know each other and work together in groups; to lay down a foundation of generic skills training and UK conventions, especially in teaching and learning; to get them started in writing and speaking skills, working in teams, some tools for creative problem solving, thinking, etc. We generally mix students in supervision groups by gender and country of origin - with the intention of helping them integrate.
During the year: A specially developed module in C Programming provides workshops to help people with limited experience of engineering coding to make rapid progress. Workshops in the Practical Robotics module allow students to practice technical skills. Each module is designed to introduce key topic material, but also to allow students to apply this in practice in labs, tutorials, and via supported self-study.
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iv) ... how the programme is designed to enable students to progress successfully - in a limited time frame - through to the end of the award? For example, the development of higher level research skills; enabling students to complete an independent study module; developing competence and confidence in practical skills/ professional skills. See QAA masters characteristics doument http://www.qaa.ac.uk/en/Publications/Documents/Masters-Degree-Characteristics-15.pdf
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During the Autumn Term students undertake three major modules in Robotics (Practical Robotics, Robot Intelligence and Control Systems Engineering). These all cover both theoretical and practical topics. The module order allows students to start learning about programming/software in a dedicated module (C Programming) as acquiring the skill can be done relatively in short period, while developing hardware skills through the first two terms. Modules continue in the Spring Term, but these build upon the foundations covered in the Autumn Term, to allow more complex systems to emerge, and to focus more on systems programming, data communication and neural networks. These two terms are supported by Personal Effectiveness workshops, which help to develop the student's digital literacy, research skills and industry readiness. In the Summer Term the main feature is broadening the students' research methods and data processing skills in preparation for the main project, and students are supported in the development of their research, writing, literature review, time management and project management skills. Using what they learn in the modules in the first two terms, students will study how to read and write a scientific paper in Critical Evaluation of Intelligent Robotic Systems, and implement in Group Robotics Project at the end. This is a major research and development project in the area, carried out in industry-style teams but developing personal skills and responsibilties. Groups have regular contact from an academic supervisor actively researching in this area. Thus the whole one-year process can be seen as a transition from a generalist interested in electronics & robotics, to a specialist researcher with a wider range of experience and industrial skills in intelligent robotics and control systems engineering.
The main vehicle for student progress is the design and arrangement of modules, which supports the students in a deep understanding of theme-based fundamental knowledge, leading rapidly to more specialist research-based knowledge and application. Together the PLOs ensure that the industry-expected skillset is covered, and the modules and framework provide the material, time and support to help students develop to their full potential.
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v) ... how this programme (as outlined in these PLOs) will develop students’ digital literacy skills and how technology-enhanced learning will be used to support active student learning through peer/tutor interaction, collaboration and formative (self) assessment opportunities (reference could be made to such as blogging, flipped classroooms, response 'clickers' in lectures, simulations, etc).
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The entire programme is imbued with developing digital literacy. A variety of programming languages are encountered and applied by students (PLOs 1-4) as a key part of the modules. The field of Intelligent Robotics can only exist with a deep understanding of the design and use of hardware and software systems, and so this is built in deeply to the module and programme structure. Students not only learn how to use digital tools, but how to design and build them. PLO1 enhances personal research by developing students' skills to independently find, evaluate and use sources. Students also need to develop their personal communication skills (PLO5) and the programme and its assignments provide multiple opportunities for this; from keeping technical logbooks, to portraying information to the public via poster preparation, and by doing public presentations. PLO6 is developed not only in the module assignments (managing themselves, teams and complex projects) which use collaborative tools such as Google Apps, but in the final teamworking project, and by involvement in the Professional Development Framework (see below in 5.c. vi).
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vi) ... how this programme (as outlined in these PLOs) will support and enhance the students’ employability (for example, opportunities for students to apply their learning in a real world setting)?
The programme's employablity objectives should be informed by the University's Employability Strategy:
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http://www.york.ac.uk/about/departments/support-and-admin/careers/staff/
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All our MSc programmes incorporate a carefully designed Professional Development Framework. In consultation with our Departmental Advisory Board, with key contributors from Industry, Research and Academia, this ensures that all students gain awareness of the essential skills that employers need and opportunities to develop their personal and team-based effectiveness. This begins with an Induction Week including an introduction to masters-level learning, and student team activities. Throughout the Autumn and Spring Terms students develop their personal effectiveness in a series of workshops (covering such issues as literature, research, referencing, teamwork, leadership, reflective learning, ethics, and business skills). These lead on to Interdisciplinary Masterclasses which cover key research and development cross-curricular topics in emerging technology. In the Summer Term students are prepared for research methodology and digital literacy, and undertake regular developmental training in project management. This all leads to a major group project (60 credit units) which is designed to give research and industry-relevant experience to individuals and teams as a major component of each programme.
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viii) ... how learning and teaching on the programme are informed and led by research in the department/ Centre/ University?
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York’s world-leading Intelligent Systems and Nanoscience Research Group in the Department of Electronic Engineering is involved in research and development of autonomous robotics systems for a variety of industrial purposes. The modules are taught by leading academics specialising in control systems engineering, robotic systems and computer programming. Modules are informed by this research and development and are kept up to date with the latest research, equipping them with state-of-the-art knowledge in this rapidly evolving area. Students have multiple opportunities to work with and be guided by staff who are actively working in these developing subject fields, in a state-of-the-art, dedicated, robotics laboratory for some modules and the final project.
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5.d. Progression
For masters programmes where students do not incrementally 'progress' on the completion of a discrete Postgraduate Certificate and Postgraduate Diploma, please summarise students’ progressive development towards the achievement of the PLOs, in terms of the characteristics that you expect students to demonstrate at the end of the set of modules or part thereof. This summary may be particularly helpful to students and the programme team where there is a high proportion of option modules and in circumstances where students registered on a higher award will exit early with a lower one.

Note: it is not expected that a position statement is written for each masters PLO, but this can be done if preferred.
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On completion of modules sufficient to obtain a Postgraduate Certificate students will be able to:
If the PG Cert is an exit award only please provide information about how students will have progressed towards the diploma/masters PLOs. Please include detail of the module diet that students will have to have completed to gain this qualification as an exit award.
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Students can receive a postgraduate certificate by achieving a minimum of 60 credits in taught modules. This could occur for instance by failing a pass/fail module, or by not being able to progress onto the project for other reasons such as failing the Critical Evaluation of Intelligent Robotic Systems module. Up to this point in the programme all PLOs are covered, but PLO1 will be lacking the literature review contextualisation, and PLO6 will be under-practiced as the major project is not experienced.
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On completion of modules sufficient to obtain a Postgraduate Diploma students will be able to:
If the PG Diploma is an exit award only please provide information about how students will have progressed towards the masters PLOs. Please include detail of the module diet that students will have to have completed to gain this qualification as an exit award.
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Students can receive a Diploma by passing everything except the project (due to leaving early or by failing the project). Thus they will have covered the majority of PLOs 1-5. Their completion of PLO6 will be limited compared to a Masters graduate, but it is not entirely missing as they will have still have completed the Critical Evaluation of Intelligent Robotic Systems module and attended support sessions on Project Management.
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6. Reference points and programme regulations
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6.a. Relevant Quality Assurance Agency benchmark statement(s) and other relevant external reference points
Please state relevant reference points consulted (e.g. Framework for Higher Education Qualifications, National Occupational Standards, Subject Benchmark Statements or the requirements of PSRBs): See also Taught Postgraduate Modular Scheme: Framework for Programme Design:
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https://www.york.ac.uk/media/staffhome/learningandteaching/documents/programmedevelopment/Framework%20for%20Programme%20Design%20-%20PG.pdf
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http://www.qaa.ac.uk/en/Publications/Documents/Masters-Degree-Characteristics-15.pdf
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http://www.qaa.ac.uk/assuring-standards-and-quality/the-quality-code/subject-benchmark-statements
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http://www.qaa.ac.uk/publications/information-and-guidance/publication?PubID=2843#.VthM1fmLS70
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Framework for Higher Education Qualifications in England, Wales and Northern Ireland – August 2008
http://www.qaa.ac.uk/Publications/InformationAndGuidance/Documents/FHEQ08.pdf
IET Accreditation – October 2014:
http://www.theiet.org/academics/accreditation/policy-guidance/
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6.b. University award regulations
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The University’s award and assessment regulations apply to all programmes: any exceptions that relate to this programme are approved by University Teaching Committee and are recorded at the end of this document.
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7. Programme Structure
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7.a. Module Structure and Summative Assessment Map
Please complete the summary table below which shows the module structure and the pattern of summative assessment through the programme.

IMPORTANT NOTE:
If the structure of your programme does not fit the usual academic year (for instance students start at the beginning of September or in January) please contact your Academic Quality Team contact in the Academic Support Office for guidance on how to represent the structure in an alternative format.

To clearly present the overall programme structure, include the name and details of each invidual CORE module in the rows below. For OPTION modules, ‘Option module’ or 'Option from list x' should be used in place of specifically including all named options. If the programme requires students to select option modules from specific lists by term of delivery or subject theme these lists should be provided in the next section (7.b).

From the drop-down select 'S' to indicate the start of the module, 'A' to indicate the timing of each distinct summative assessment point (eg. essay submission/ exam), and 'E' to indicate the end of teaching delivery for the module (if the end of the module coincides with the summative assessment select 'EA'). It is not expected that each summative task will be listed where an overall module might be assessed cumulatively (for example weekly problem sheets).

Summative assessment by exams should normally be scheduled in the spring week 1 and summer Common Assessment period (weeks 5-7). Where the summer CAP is used, a single ‘A’ can be used within the shaded cells as it is understood that you will not know in which week of the CAP the examination will take place. (NB: An additional resit assessment week is provided in week 10 of the summer term for postgraduate students. See Guide to Assessment, 5.4.a)
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http://www.york.ac.uk/about/departments/support-and-admin/registry-services/guide/
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Full time structure
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CreditsModuleAutumn TermSpring Term Summer Term Summer Vacation
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CodeTitle12345678910123456789101234567891012345678910111213
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10ELE00107MC Programming for MScSEA
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20ELE00093MControl Systems Engineering for MScSEA
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30ELE00128MCritical Evaluation of Intelligent Robotic SystemsSEA
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30ELE00118MPractical RoboticsSAEA
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10ELE00119MMSc Personal EffectivenessSAAAAEA
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10ELE00132MRobot IntelligenceSEA
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60ELE00094MGroup Robotics ProjectSAEA
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10ELE00115MNeural Networks and Neural ComputingSEA
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Full-time Route: Please indicate when the Progression Board and Final Exam board will be held and when any reassessments will be submitted.
NB: You are required to provide at least three weeks notice to students of the need for them to resubmit any required assessments, in accordance with the Guide to Assessment section 4.9
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Progression BoardWeek 2 Summer Vacation
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ReassessmentWeek 7 Summer Vacation
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Exam BoardAutumn Term Week 3
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Part time structures
Please indicate the modules undertaken in each year of the part-time version of the programme. Please use the text box below should any further explanation be required regarding structure of part-time study routes.