2022/3, Trimester 2, BLENDED, Edinburgh Napier University
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Occurrence: | 001 |
Primary mode of delivery: | BLENDED |
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: |
Key concepts will be explained in lectures, where the subject matter will be illustrated with examples and interactive demonstrations (LO1,2). A key feature is to present the principles behind the applications (LO1,2,3), discuss the concepts with the students (LO1,2,3) and, for each case study, discuss a starting solution and suitable approaches (LO1,2,3).Practical labs focus on problem solving and case studies to provide practice in the application of theory (LO1,2,3). Students develop their own applications, initially often by extending a starting solution provided. As the module progresses, this will gradually require more independent work and research of advanced concepts. Throughout the labs, students will be encouraged to interact with staff and peers to explore concepts in depth and receive feedback on their progress and understanding.In addition to timetabled classes, students should undertake private study to work through the learning materials and gain further practice at solving conceptual and technical problems (LO1,3). To provide an integrated understanding of the subject matter, each topic area will centre on a case study relevant to the students' subject area. topics will reuse and integrate functions and modules developed earlier and emphasise exception handling (LO2).The latter parts of the module will shift the emphasis from programming fundamentals to applied problem solving in the Data Science domain, giving students a better idea of how to apply coding techniques they have learned (LO3).Moodle will be used to distribute course materials including starting solutions and to point the students to selected third party resources.
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Interactive elements of lectures encourage students to test their understanding continuously. There will be additional formative challenges such as quizzes. Continuous feedback is given by staff through discussions in the labs.To support the first summative assessment, a practice test will be available with immediate, automated feedback. The two assessments are partly based on earlier lab exercises, for which feedback is available during the practical sessions.
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Summative assessment will be formed by a single component, and two forms of assessment. Both are practical skills assessment and weighed at 50% of the final mark each.The first practical skills assessment (50% of final mark) is designed to cover most of the fundamental theory of the module, covering LO1,2. This assessment will require students to apply basic concept of python programming. Students are requred to submit their script as solution via Moodle. A summary of the feedback is recorded in Moodle using a set of rubrics tailored to emphasise the specific skills assessed. The second practical skills assessment, weighted at 50% of the final mark as well, also requires the students to submit their scripts as solutions to a case study and requires the students to apply and integrate many of the concepts learned. It will be designed to reinforce LO1,2 and will also assess LO3. Similarly as in the first assessment, students are requred to submit their script as solution via Moodle and a summary of the feedback is recorded in Moodle using a tailred set of rubrics.
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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 | Practical classes and workshops | 24 |
Independent Learning | Guided independent study | 152 |
| Total Study Hours | 200 |
| Expected Total Study Hours for Module | 200 |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words |
Practical Skills Assessment | 50 | 1,2 | 7 | HOURS= 12.00 |
Practical Skills Assessment | 50 | 1,23 | 13 | HOURS= 30.00 |
Component 1 subtotal: | 100 | |
Component 2 subtotal: | 0 | | | |
Module subtotal: | 100 | | | |