Oktay Karakus, PhD 2021-2022 - Spring Semester
CMT309 - CMT314 - CMT315 Spring Semester
Data Science Portfolio Submission Rules
(1) If the assessment is submitted no later than 24 hours after the deadline, the mark for the assessment will
be capped at the minimum pass mark.
(2) If the assessment is submitted more than 24 hours after the deadline, a mark of 0 will be given for the
assessment.
(3) Your coursework should be submitted via Learning Central.
(4) You have to upload the files mentioned in the coursework proforma.
(5) Failing to follow submitted file names, and file types (e.g. not submitting .html file, or naming your file
p1.ipynb instead of P1.ipynb) will have a penalty of 10 points from your total mark.
(6) The coursework includes different datasets, which are automatically downloaded. Since these files are
already with the markers, students do not need to submit these files back.
(7) Changing the csv file names, and developing your codes with those changed file names would cause
errors during the marking since the markers will use a marking Python code developed with the original
file names.
(8) You can use any Python expression or package that was used in the lectures and practical sessions.
Additional packages are not allowed unless instructed in the question. Failing to follow this rule might
cause to lose all marks for that specific part of the question(s).
(9) You answer the questions by filling in the appropriate sections in the provided Jupyter Notebook file.
Export your final Jupyter Notebooks as HTML to produce the corresponding HTML files.
(10) You are free to use any Python environment, or version to develop your codes. However, you should fill
and test your notebook in Colab since testing and marking process will be done via Google Colab.
(11) If any submitted code for any sub-question fails to run in Google Colab, that part of the code will be
marked as 0 without testing the code in Jupyter, or any other environment.
(12) It is not allowed to use input() function to ask user to enter values.
(13) If a function is asked to be developed, the name and input arguments of that function should be as same
as instructed in the paper.
(14) There will be no fractional markings for sub-questions with mark of 1 or 2. You will lose all marks for
these questions if you are failing to satisfy the question requirements.
(15) If needed, this document would be updated anytime before the submission deadline. If an update
was made, the lecturer has to inform everyone via an announcement from the LC system, and it
is then student’s responsibility to make sure all the cases in this document has been satisfied by
the deadline day.
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