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7COM1084 Advanced Research topics in Computer Science

Question

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Penalties for Late Submissions

·Late submission of any item of coursework for each day or part thereof (or for hard copy submission only, working day or part thereof) for up to five days after the published deadline, coursework relating to modules at Levels 0, 4, 5, 6 submitted late (including deferred coursework, but with the exception of referred coursework), will have the numeric grade reduced by 10 grade points until or unless the numeric grade reaches or is 40. Where the numeric grade awarded for the assessment is less than 40, no lateness penalty will be applied.

·Late submission of referred coursework will automatically be awarded a grade of zero (0).

·Coursework (including deferred coursework) submitted later than five days (five working days in the case of hard copy submission) after the published deadline will be awarded a grade of zero (0).

·Where genuine serious adverse circumstances apply, you may apply for an extension to the hand-in date, provided the extension is requested a reasonable period in advance of the deadline.

His Assignment assesses the following module Learning Outcomes (Take these from the module DMD):

Knowledge and understanding:

1.Have a conceptual understanding of how established techniques of research are used to create and extend existing knowledge in computer science.

2.Be able to identify a research problem from synthesizing problem definitions from relevant literature.

3.Demonstrate originality in proposing alternative solutions within a chosen area.

Skills and attributes

1.Critically evaluate research literature and identify research problems to solve

Demonstrate ability to propose alternative approaches for future work in a chosen area.

3.Communicate research knowledge effectively in scholarly manner.

Marks awarded for:

Appropriate format structure and grammar. Clarity of writing.

Appropriate use of citations and references.

Demonstration of understanding of the research areas and literature.

Demonstration of ability to identify research questions.

Demonstration of ability to identify and evaluate research methods.

A note to the Students:

1.For undergraduate modules, a score above 40% represent a pass performance at honours level.

2.For postgraduate modules, a score of 50% or above represents a pass mark.

Modules may have several components of assessment and may require a pass in all elements. For further details, please consult the relevant Module Guide or ask the Module Leader.

Details of the assignment

The assignment consists of a portfolio of the work you have been doing throughout the semester.  The portfolio should have the following contents:

1.Title page showing the Module code, your name student number and the words Portfolio Coursework.

2. The formative coursework you wrote at the beginning of the course.  Specification is at the end of this document.

3. Reports on 3 of the topics covered on the course, and one other.  So far there have been 8 research areas.

·Human Robot Interaction

·Human Robot Interaction and the Robot House

·Computer Vision

·Data Science

·Cyber Security

·HCI & Usability

·Biometric Emotional Analytics

·Future Networks

As part of your tutorial work you have been preparing short reports on each topic and given support in doing this.  

Choose 3 topic areas.  Where a topic seems quite broad, you can choose an aspect of it. Then select 1 distinct topic relevant to your own MSc route

There should be a report on each of the areas that you choose. All topics must be from distinct areas.

The reports should each follow this format.

1.Title/research subject area

2.Presented by (the lecturer’s name)

3.Research area: A brief description of the area (around 150 words)

4.Relation to Computer Science in general:  What other areas in Computer Science and Science in general does the area relate to?

5.Research questions and methods:  Identify a significant research question in this area.  What methods could be used to investigate this question.  Evaluate the effectiveness of these methods. (around 600 words) General relevance: What relevance does this kind of work have in general?  How might it be generally helpful?  Are there any possible negative implications? (around 300 words

7COM1084 Advanced Research topics in Computer Science

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