Mobile Health
Links to the pages containing details of this year's assessements will appear after the practical lectures.
Assignment 1 (shared for Part II and Part III/MPhil): this will be based on a dataset and will be worth 30% of the final mark. The task of the assessment will be to perform preprocessing and basic data analysis in a "colab" and an answer sheet.
You can now find the link to the colab on the Moodle page of the course.
Assignment 2 (Part II): This assignment (worth 70% of the final mark) will be a fuller analysis of a dataset focusing on machine leanring algorithms and metrics. Discussion and intepretation of the findings will be reported in a colab and a report of no more than 1000 words.
Assignment 2 (Part III/MPhil): The second assignment (worth 70% of the final mark) will be based on multiple datasets. The students will be asked to compare and contract ML algorithms/solutions (trained and tested on the different data) and discuss the findings and interpretation in terms of health context. This will be in the form of a colab and a report of 1500 words.
Information about marking schemes for the Part II assessements are linked here and for PartIII/MPhil here.