CSC8628 : Image Informatics
CSC8628 : Image Informatics
- Offered for Year: 2024/25
- Module Leader(s): Dr Deepayan Bhowmik
- Lecturer: Dr Tong Xin
- Owning School: Computing
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
N/A
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To introduce students to the fundamentals of image informatics and provide the essential knowledge about the main themes, so that, in the future, they will be able to readily apply their knowledge in industry or research or further enhance it by self-study.
Outline Of Syllabus
Topics will cover some or all of the following areas:
• Background, Image Model, Spatial Coordinate Digitisation: Image Sampling, Image Quality, Image Pixel
Relationships
• Linear Operators, Transforms, Spatial Domain Methods (Filters), Frequency Domain Methods.
• Image Compression, Lossless and Lossy Compression, Image Compression Standards.
• Object Detection Methods, Edge and Boundary Detection.
• Segmentation.
• Pattern Recognition
• Introduction to Convolutional Neural Network (CNN).
• Case Studies.
• Use of Python to demonstrate Image Informatics techniques.
Learning Outcomes
Intended Knowledge Outcomes
The students should:
- Be aware of commonly-used techniques in image informatics
- Have a working knowledge of which techniques are useful and appropriate for a particular problem.
- Possess the knowledge of how the different techniques are implemented in common programming frameworks
- Have an appreciation of the ethical obligations required when performing image informatics.
Intended Skill Outcomes
The student should
- Be able to understand the concepts behind image informatics.
- Discuss and communicate the ability and limitations of image informatics approaches.
- Identify the most appropriate image informatics for a given problem.
- Be able to assess risks/limitations associated with applications of image informatics.
- Be able to identify and quantify sources of bias and use appropriate mechanisms to reduce bias.
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Guided Independent Study | Assessment preparation and completion | 20 | 1:00 | 20:00 | Background reading |
| Guided Independent Study | Assessment preparation and completion | 10 | 1:00 | 10:00 | Independent study on course content |
| Scheduled Learning And Teaching Activities | Lecture | 10 | 1:00 | 10:00 | Interactive mixed mode lectures (Hybrid in person and online) |
| Scheduled Learning And Teaching Activities | Practical | 20 | 1:00 | 20:00 | Interactive mixed mode practicals. 1.5 hours per week can include PiP activities. Not compulsory. |
| Guided Independent Study | Project work | 40 | 1:00 | 40:00 | Main summative assignment |
| Total | 100:00 |
Teaching Rationale And Relationship
Lectures explain the underlying principles for the module and technologies that support image informatics. Lectures are complemented by supervised practical sessions to guide the application of these principles using suitable tools. The practical work builds up experience working with a computational toolset that is used to complete a substantive project working with data from a real-world context.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 1 | M | 100 | Extended technical project. Word count; up to 1500 words, to include detailed figures demonstrating results. |
Zero Weighted Pass/Fail Assessments
| Description | When Set | Comment |
|---|---|---|
| Oral Examination | M | Structured discussion inc. a software demonstration and reflection on the key learning objectives of the project work-up to 15 mins |
Assessment Rationale And Relationship
The report tests the students’ ability to apply image informatics techniques, using effective tools and methods to solve a real-world challenge.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC8628's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- CSC8628's past Exam Papers
General Notes
N/A
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Disclaimer
The information contained within the Module Catalogue relates to the 2024 academic year.
In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.
Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.