2025/6, Trimester 1, In Person,
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Occurrence: | 001 |
Primary mode of delivery: | In Person |
Location of delivery: | HONG KONG |
Partner: | |
Member of staff responsible for delivering module: | Amy Poole |
Module Organiser: | |
Student Activity (Notional Equivalent Study Hours (NESH)) |
Mode of activity | Learning & Teaching Activity | NESH (Study Hours) | NESH Description |
Face To Face | Tutorial | 9 | On campus tutorials and workshops will be delivered throughout the module, by your local tutors to allow you to apply knowledge learned in your online lectures and gain deeper knowledge of complex concepts. These sessions also include two bioinformatics training for your assessment. |
Face To Face | Centrally Time Tabled Examination | 9 | Lectures will be on campus. Each week you will study a new topic that is relevant to the module content. |
Online | Guided independent study | 178 | Each week learning materials, including recorded, lectures, worksheets, tasks and reading will be issued on Moodle (reading will also be shared via the Module Leganto list at the beginning of the module should you wish more time to engage with the materials). You are expected to engage and reflect on the essential material, which will then be discussed during the seminar sessions. |
Independent Learning | Tutorial | 4 | There will be live, online sessions with your module leader based at Edinburgh Napier University. These important sessions are designed to introduce you to the module and support you with your assessments. |
| Total Study Hours | 200 | |
| Expected Total Study Hours for Module | 200 | |
Assessment |
Type of Assessment | Weighting % | LOs covered | Week due | Length in Hours/Words | Description |
Report | 50 | 2~4 | Week 8 | , WORDS= 2000 | Report - (2000 words) a series of bioinformatics-based tasks to analyse genomic, transcriptomic and proteomic sequencing data. |
Class Test | 50 | 1~3 | Week 13 | HOURS= 3.5 h | Class Test - (3.5 h) An on-campus, closed-book assessment based on analysis and interpretation of molecular data. |
Component 1 subtotal: | 50 | | |
Component 2 subtotal: | 50 | | | | |
Module subtotal: | 100 | | | | |