2022/3, Trimester 1, FACE-TO-FACE, Edinburgh Napier University
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Occurrence: | 001 |
Primary mode of delivery: | FACE-TO-FACE |
Location of delivery: | MERCHISTON |
Partner: | Edinburgh Napier University |
Member of staff responsible for delivering module: | Valerio Giuffrida |
Module Organiser: | |
Learning, Teaching and Assessment (LTA) Approach: |
Students will gain a solid understanding of the fundamental principles of Machine Learning during weekly lectures, practical labs and tutorials. These sessions will build up the students' skill in the context of machine learning, allowing them to apply machine learning algorithms to new datasets. Overall, lectures will explain the main concepts of Machine Learning (LO1,2,3,4), whereas practical sessions will be mostly focused in developing the programming skills of the students in Python (LO5) to apply the theoretical concepts using real-case examples. Tutorials will also be provided to develop further insights of the mathematical concepts of the class, allowing students to exercise concepts with practical examples (LO2,4). Lectures will be as interactive as possible, in order to better engage the students in learning the fundamentals concepts of Machine Learning. Examples of how to report results and draw appropriate conclusions provided by empirical evaluation from data will be provided to students (LO6).
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To support formative feedback, the Software Engineering subject group utilise a lab based teaching approach across their provision. During these lab sessions, staff will discuss and evaluate student progress and provide feedback on how well they are progressing with their work. All modules in the subject group also require students to demonstrate their coursework on submission to provide further formative feedback on how the work could be improved.
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Assessment will comprise a formal examination and one practical coursework. Fundamentals and theories will be tested in the exam (LOs 1, 2, 3), while the practical skills will be assessed by the coursework (LOs 4, 5, 6). Students are requested to write a coursework report using conference paper style format to present results in a scientific way.
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Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) |
Face To Face | Lecture | 24 |
Face To Face | Tutorial | 6 |
Face To Face | Practical classes and workshops | 18 |
Face To Face | Centrally Time Tabled Examination | 2 |
| Total Study Hours | 50 |
| Expected Total Study Hours for Module | 50 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Practical Skills Assessment | 60 | 4,5,6 | 10 | HOURS= 40.00, WORDS= 4000 |
Centrally Time Tabled Examination | 40 | 1,2,3 | 14/15 | HOURS= 02.00 |
Component 1 subtotal: | 60 | |
Component 2 subtotal: | 40 | | | |
Module subtotal: | 100 | | | |