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CSC8330 : Advanced Programming for Digital Biology

  • Offered for Year: 2023/24
  • Module Leader(s): Dr Jichun Li
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semester 2 Credit Value: 10
ECTS Credits: 5.0


To enhance scientific programming skills to a more advanced level.
To examine the scientific programming ecosystem.
To understand the importance of reproducible computational analysis.

This module aims to introduce more advanced concepts in programming that are essential for scientific programming. We will investigate further the many libraries in our chosen environment. We will examine scientific programming in practice, in a number of its different forms.

Outline Of Syllabus

Advanced issues in Programming
Libraries for Scientific Data analysis.
Tools for reproducible software engineering.
Case studies in software development within a scientific context.

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials121:0012:00Asynchronous online materials
Scheduled Learning And Teaching ActivitiesLecture41:004:00Synchronous present in person (pip) tutorial sessions.
Guided Independent StudyAssessment preparation and completion120:0020:00Practical/Lab report assessments.
Guided Independent StudyAssessment preparation and completion122:0024:00Lecture follow up, includes time for formative exercises
Scheduled Learning And Teaching ActivitiesPractical82:0016:00Synchronous present in person (pip) practical sessions.
Guided Independent StudyIndependent study124:0024:00Background reading
Teaching Rationale And Relationship

Lecture materials will be used to introduce the learning material and for demonstrating the key concepts by example. Students are expected to follow-up lectures within a few days by re-reading and annotating lecture notes to aid deep learning.

Scheduled sessions will be used to emphasise the learning material and its application to the solution of problems and exercises set as coursework, during which students will analyse problems as individuals and in teams.

This is a very practical subject, and it is important that the learning materials are supported by hands-on opportunities.

Students aiming for 1st class marks are expected to widen their knowledge beyond the content of lecture notes through background reading.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Practical/lab report2M100Programming assignment
Formative Assessments
Description Semester When Set Comment
Prob solv exercises2MPractical/Tutorial exercises
Assessment Rationale And Relationship

Programming assignment allows the students to develop their problem-solving techniques, to practise the methods learned in the module, to assess their progress and to receive feedback.
Students will be given a range of formative exercises to introduce them to relevant tools, develop their understanding of programming concepts and provide them with the opportunity to gain experience through practical application.

Reading Lists