C. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer, 2008
T. Mitchell. Machine Learning. McGraw-Hill, 1997.
D. MacKay. Information Theory, Inference and learning Algorithms.
Cambridge, 2003.
R. Duda, P. Hart, and D. Stork. Pattern Classifcation. Wiley, 2001.
K. Murphy. Machine Learning, MIT Press, 2012.
Grading
The grading for the course will be based on three (3) assignments (worth 18%),
two (2) term tests (worth 32%), and a final exam (worth 50%).
One must obtain a mark of at least 35/100 on the final examination to
pass the course. If a student's grade on the final exam is less than
35%, then their final course grade will be equal to the exam grade.
Assignments
Assignments involve both written (theoretical) work as well as
programming exercises. The programming will be done preimarily in Python.
Descriptions of the different assignments will be provided on the
main course web site as they become available.
Marking
As a general rule, small matters of marking on assignments (apparent
addition errors, questions about evaluation criteria, etc.) should be
taken first to the marker (via email). More significant issues, or
unresolved matters on assignments, are appropriate to take to the professor.
Matters of marking on tests and exams should be taken to the professor.
Academic Fraud:
Plagiarism - or simply, cheating - is taken to be the handing in of
work not substantially the student's own; it is usually done without
reference, but is unacceptable even in the guise of acknowledged
copying. Do not copy work from others, in or out of the class. All work
handed in should be the student's work.
It is not cheating, however, to discuss ideas and approaches to a
problem, nor is it cheating to seek or accept help with a program or
with writing a paper. Indeed, a moderate form of collaboration is
encouraged as a useful part of any educational process. However, good
judgement must be used, and students are expected to present the
results of their own thinking and writing. Never copy another students
work -- it is plagiarism to do so, even if the other student "explains
it to you first." Do not work together to form a collective solution,
from which the members of the group copy out the final solution.
Rather, walk away and recreate your own solution later.
You should not need to search the web (eg stack overflow, or other students' git repositories) for solution code or parts of your programming exercise.
Search the web for code and submitting or a piece of it as your own,
even with minor modifications, is academic fraud. Simiarly, it is not
permitted to be large language models to generate the code for your assignments.