CSC8330 : Advanced Programming for Digital Biology
- Offered for Year: 2024/25
- Module Leader(s): Dr Jichun Li
- Owning School: Computing
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 2 Credit Value: | 10 |
| ECTS Credits: | 5.0 |
| European Credit Transfer System | |
Aims
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 Learning | Lecture materials | 12 | 1:00 | 12:00 | Asynchronous online materials |
| Scheduled Learning And Teaching Activities | Lecture | 4 | 1:00 | 4:00 | Synchronous present in person (pip) tutorial sessions. |
| Guided Independent Study | Assessment preparation and completion | 1 | 20:00 | 20:00 | Practical/Lab report assessments. |
| Guided Independent Study | Assessment preparation and completion | 12 | 2:00 | 24:00 | Lecture follow up, includes time for formative exercises |
| Scheduled Learning And Teaching Activities | Practical | 8 | 2:00 | 16:00 | Synchronous present in person (pip) practical sessions. |
| Guided Independent Study | Independent study | 1 | 24:00 | 24:00 | Background reading |
| Total | 100:00 |
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 report | 2 | M | 100 | Programming assignment |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Prob solv exercises | 2 | M | Practical/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
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- CSC8330's Timetable