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Curricular information is subject to change
On completion of this module, students will be able to: 1. Solve problems at the interface of computer science, imaging and medicine 2. Explain how digital images are represented, manipulated and processed. 3. Apply fundamental image processing algorithms to medical images to derive meaningful information. 4. Understand the complete image processing pipeline.
Student Effort Type | Hours |
---|---|
Lectures | 10 |
Tutorial | 1 |
Practical | 10 |
Specified Learning Activities | 40 |
Autonomous Student Learning | 60 |
Total | 121 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Lab Report: Detailed record of practical sessions following the assignment guidelines | Throughout the Trimester | n/a | Graded | No | 50 |
Presentation: Presentation based on theoretical content and personal research | Throughout the Trimester | n/a | Graded | No | 50 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, on an activity or draft prior to summative assessment
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
• Self-assessment activities
Peer feedback will be provided initially during group work. Group/class feedback will be provided post-assessment and this will later be followed up with individual feedback.
Name | Role |
---|---|
Mr Patrick Leydon | Tutor |