MITS5512 Methods of Data Science

MITS5512 Assignment
Copyright © 2015-2018 VIT, All Rights Reserved. 2

For this component you will write a report or critique on a recent academic paper related to Data
Science or Data Science Methodologies. Some possible topic areas include but are not limited to:
• Supervised Learning
• Unsupervised Learning
• Semi-Supervised Learning
• Anomaly Detection
• Association Analysis
• Regression Analysis
• Classification Analysis
• Pattern Recognition
• Feature Selection – (aka Dimensionality Reduction)
• Ensemble Methods
• Neural Nets and Deep Learning
• Transfer Learning
• Reinforcement Learning
• Natural Language Processing
• Applications of Data Science
The paper you select must be directly relevant to one of the above topics or another topic and
be related to Data Science. The paper must be approved by your lecturer and be related
to what we are studying this semester in Data Science Course. The paper can be from any academic
conference or other relevant Journal or online sources such as Google Scholar, or Academic
department repositories. All students must select a different paper. Thus, the paper must be
approved by your lecturer before proceeding. In case two students are wanting to present on the
same paper, the first who emails the lecturer with their choice will be allocated that paper. Please
note that popular magazine or web-site articles are not academic papers. The paper you chose
should be published in the last 5 years.
our report should be limited to approx. 1500 words (not including references). Use 1.5 spacing
with a 12 point Times New Roman font. Though your paper will largely be based on the chosen
MITS5512 Assignment
Copyright © 2015-2018 VIT, All Rights Reserved. 3
article, you should use other sources to support your discussion or the chosen papers premises.
Citation of sources is mandatory and must be in the IEEE style.
Your report or critique must include:
Title Page: The title of the assessment, the name of the paper you are reporting on and its
authors, and your name and student ID.
Introduction: Identification of the paper you are critiquing/ reviewing, a statement of the purpose
for your report and a brief outline of how you will discuss the selected article (one or two
paragraphs).
Body of Report: Describe the intention and content of the article. If it is a research report, discuss
the research method (survey, case study, observation, experiment, or other method) and findings.
Comment on problems or issues highlighted by the authors. Report on results discussed and discuss
the conclusions of the article and how they are relevant to the topics of this Unit of Study.
Conclusion: A summary of the points you have made in the body of the paper. The conclusion
should not introduce any ‘new’ material that was not discussed in the body of the paper. (One or
two paragraphs)
References: A list of sources used in your text. They should be listed alphabetically by (first)
author’s family name. Follow the IEEE style. The footer must include your name, student ID, and
page number.
Note: reports submitted on papers which are not approved or not the approved paper registered for
the student will not be graded and attract a zero (0) grade.
What to Submit
Submit your report to the Moodle drop-box for Assignment 2. Note that this will be a Turnitin
drop box and as such you will be provided with a similarity score. This will be considered when
grading the assignment. Note that incidents of plagiarism will be penalized. If your similarity score
is high you can re-submit your report, but resubmissions are only allowed up to the due date. If
you submit your assignment after the due date and time re-submissions will not be allowed.
Please Note: All work is due by the due date and time. Late submissions will be penalized at the
rate of 10% per day including weekends.

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