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The specialisms offered in Edinburgh are Life-Science Informatics and Net-Centric Informatics, in conjunction with Trento; and Net-Centric/Media Informatics, in conjunction with Aachen — while this is informally called "Net-Centric" for Edinburgh purposes, the Aachen component has a strong Media Informatics component. Note that EuMI students are admitted for a specific specialism and mobility scheme (i.e., sequence and combination of universities) and that this cannot be changed except with special permission from the EuMI course organiser. Note also that the specialisms advertised for other Edinburgh MSc degrees offered by Informatics are of no significance for EuMI students (except for IRR as described below).
In addition to IRR and IRP, you will have to take at least six additional courses each worth 5 ECTS in order to ensure that you gain a total of 50 ECTS. Of these six, three have to be taken from the list of compulsory courses for each specialism — these are printed in bold face below.
Your remaining courses should be chosen from the further specialism-related recommended choices in the tables below. Special permission may be granted to deviate from these requirements, but this is subject to approval by the course organiser and the EuMI consortium.
Courses printed in italics are level 9/10 courses, and your choice of these is constrained by the additional rule that at most 15 ECTS of your degree credits can be level 9/10 courses.
Finally, you are required to take one of Introduction to Java Programming or Logic Programming unless you already have previous programming experience.
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| Bioinformatics 1 (BIO1) | Bioinformatics 2 (BIO2) |
| Introductory Applied Machine Learning (IAML) | Computational Systems Biology (CSB) |
| Applied Databases (AD) | Models and Languages for Computational Systems Biology (MLCSB) |
| Neural Computation (NC) | Machine Learning and Pattern Recognition (MLPR) |
| Probabilistic Modelling & Reasoning (PMR) | Cognitive Modelling (CM) |
| Synthetic Biology: Modelling (SBM) | Computational Cognitive Neuroscience (CCN) |
| Information Processing in Biological Cells (IPBC) | Topics in Distributed Databases (TDD) |
| Performance Modelling (PM) | Data Mining & Exploration (DME) |
| Genetic Algorithms & Genetic Programming (GAGP) | Neural Information Processing (NIP) |
| Text Technologies (TT) | Computer Animation & Visualisation (CAV) |
| Reinforcement Learning (RL) | Structure and Synthesis of Robot Motion (SSRM) |
| Cognitive Neuroscience of Language (CNL) | Computational Neuroscience of Vision (CNV) |
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| Distributed Systems (DS) | Parallel Programming Languages & Systems (PPLS) |
| Applied Databases (AD) | Multi-agent Semantic Web Systems (MASWS) |
| Computer Networking (CN) | Knowledge Modelling and Management (KMM) |
| Design and Analysis of Parallel Algorithms (DAPA) | Computational Complexity (CMC) |
| Performance Modelling (PM) | Machine Learning and Pattern Recognition (MLPR) |
| Text Technologies (TT) | Software Architecture, Process, and Management (SAPM) |
| Data Integration and Exchange (DIE) | Software Testing (ST) |
| Methods for the Analysis of Networks (MAN) | Compiler Optimisation (COPT) |
| Human-Computer Interaction (HCI) | Querying and Storing XML (QSX) |
| Automated Reasoning (AR) | Parallel Architectures (PA) |
| Communication & Concurrency (COC) | Topics in Distributed Databases (TDD) |
| Computer Graphics (CG) | Embedded Software (ES) |
| Advanced Natural Language Processing (ANLP) | Machine Translation (MT) |
| Advanced Databases (ADBS) |
Please consult the General MSc course guide for instructions on how to select courses and for relevant deadlines.
Ewan Klein Last modified: Mon Sep 20 11:36:26 BST 2010
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