7COM1084 Advanced Research topics in Computer Science Solved

Question:

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.

This 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
2.Demonstrate ability to propose alternative approaches for future work in a chosen area.
3.Communicate research knowledge effectively in scholarly manner.
The complete portfolio should be uploaded to the canvas site for this module by 17.00 on Friday 7th May 2021.
This assignment is worth   70 % of the overall assessment for this module.
Marks awarded for:
Appropriate format structure and grammar. Clarity of writing. 20%
Appropriate use of citations and references. 10%
Demonstration of understanding of the research areas and literature. 25%
Demonstration of ability to identify research questions. 20%
Demonstration of ability to identify and evaluate research methods. 25%
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.
3.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 1,000  word report on the topic “Future areas of research in Computer Science” i.e.

Title page showing the Module code, your name and student number
A report discussing future areas of research in computer science. So far in the course there have been 8 research areas.

Human Robot Interaction
Human Robot Interaction and the Robot House
AI
Data Science
Cyber Security
Biometric Emotional Analytics

Your report must contain a discussion of at least One Other/New area of future research as well as a short review (50 words) of 2 of the topics covered.  
The reports should follow this format.
1.Title/research subject area
2.Research area: A brief description of the area (around 200 words)
3.Relation to Computer Science in general:  What other areas in Computer Science and Science in general does the area relate to?
4.Research questions and methods:  Identify a significant research question in the area.  What methods could be used to investigate this question.  Evaluate the effectiveness of these methods. (around 600 words)
All work should be supported by citations and adequate references.
Assessment criteria
Appropriate format structure and grammar. Clarity of writing. 20%
Appropriate use of citations and references. 10%
Demonstration of understanding of the research areas and literature. 25%
Demonstration of ability to identify research questions. 20%
Demonstration of ability to identify and evaluate research methods. 25%

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