Artificial Life (819G5)
Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.
We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.
Artificial Life
Module 819G5
Module details for 2024/25.
15 credits
FHEQ Level 7 (Masters)
Pre-Requisite
The module assumes an ability to write software in one appropriate programming language (e.g. Java, C, Python, Matlab). Basic knowledge of formal computational skills is also assumed.
Module Outline
The aim of this module is to provide an introduction to the field of Artificial Life (ALife). This has a dual role: firstly, taking inspiration from biology for engineering and AI in particular; secondly, using computational tools for testing ideas in biology.
Topics include:
Evolutionary computation
ALife models of biological systems
Dynamical systems analysis of complex systems
Non-symbolic approaches to cognition
Artificial chemistries
Library
No set text. Reading is provided each week (journal and conference articles)
Module learning outcomes
Demonstrate critical awareness of current issues in Artificial Life research.
Programme and apply a genetic algorithm.
Use dynamical systems techniques to analyse a complex system.
Design, complete and critically assess a small but original artificial life research project.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | A1 Week 2 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Laboratory | 2 hours | 00001010000 |
| Autumn Semester | Lecture | 2 hours | 11111111111 |
| Autumn Semester | Seminar | 1 hour | 11110101111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Chris Johnson
Assess convenor
/profiles/246069
Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.
The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.