Please note: there may be some adjustments to the teaching arrangements published in the course catalogue for 2020-21. Given current circumstances related to the Covid-19 pandemic it is anticipated that some usual arrangements for teaching on campus will be modified to ensure the safety and wellbeing of students and staff on campus; further adjustments may also be necessary, or beneficial, during the course of the academic year as national requirements relating to management of the pandemic are revised.

Programming Skills for the Clinical Scientist MED5299

  • Academic Session: 2021-22
  • School: School of Medicine Dentistry and Nursing
  • Credits: 10
  • Level: Level 5 (SCQF level 11)
  • Typically Offered: Semester 1
  • Available to Visiting Students: No
  • Available to Erasmus Students: No

Short Description

This course is intended to provide students with a range of programming skills appropriate to a Clinical Scientist working in medical physics.

Timetable

This course is a mixture of lectures and practical classes. 

Requirements of Entry

None

Excluded Courses

None

Co-requisites

None

Assessment

Assessment

Continuous assessment via practical skills assessments (50%) and mini projects throughout the course (50%).

Main Assessment In: December

Course Aims

■ To acquire a working knowledge of software development in python, i.e. to a level sufficient to permit successful application to a variety of introductory medical physics problems as may be encountered within the MED5306 Research Project

Intended Learning Outcomes of Course

■ By the end of this course students shall be able to:

■ Design and implement robust, modular software in python

■ Critically apply their learning to a variety of introductory-level medical physics data science programming problems including imaging applications

■ Conduct data analysis and data visualisation for a given medical physics problem, using the techniques covered in the course and selecting the most appropriate tools for the problem.

■ Communicate the logic behind the tools selected.

Minimum Requirement for Award of Credits