Edinburgh eScience MSc - PowerPoint PPT Presentation

1 / 13
About This Presentation
Title:

Edinburgh eScience MSc

Description:

Aiming at suiting a wide range of students. Build on existing ... We see three ... awaiting rubber-stamping at University level. Seeking funding to ... – PowerPoint PPT presentation

Number of Views:43
Avg rating:3.0/5.0
Slides: 14
Provided by: Nes66
Category:

less

Transcript and Presenter's Notes

Title: Edinburgh eScience MSc


1
Edinburgh e-Science MSc
  • Bob Mann
  • Institute for Astronomy NeSC
  • University of Edinburgh

2
Overview of e-Science MSc
  • Due to start in September 2005
  • 15 students in the first year
  • 80 students within five years
  • Take broad view of e-Science
  • Multi-disciplinary course
  • Aiming at suiting a wide range of students
  • Build on existing Edinburgh strengths

3
What kind of students?
  • We see three types of students
  • Science students needing to develop IT skills for
    their future research
  • Computer scientists looking to future work in
    scientific computing
  • Computer scientists looking to web and Grid
    services in commercial IT
  • Challenge to satisfy all three types

4
What kind of course?
  • Basic requirements
  • Underlying principles and hands-on experience of
    current technologies
  • Discipline in software engineering
  • Range of options, given range of students
  • Requires strength in computer science and in a
    range of application areas

5
What can Edinburgh offer?
  • Informatics
  • Existing MSc offering a wide range of courses
  • NeSC
  • Expertise in training in e-science technologies
  • EPCC
  • HPC and mix of CS and application students
  • Applications
  • Physical, earth and life sciences, plus new
    national Digital Curation Centre

6
Basic programme structure
  • Semester 1 (Sep-Dec)
  • Four mandatory courses
  • Two optional courses
  • Semester 2 (Jan-Mar)
  • Four mandatory courses
  • Two optional courses
  • Semester 3 (Apr-Sep)
  • Individual research project

Diploma
MSc
7
Mandatory courses
  • Semester 1
  • Distributed Computing for e-Science 1
  • Scientific Software Engineering 1
  • Introduction to Scientific Data
  • Programming for e-Science
  • Semester 2
  • Distributed Computing for e-Science 2
  • Scientific Software Engineering 2
  • Topics in e-Science
  • Project Preparation

8
Distributed Computing for e-Science 1 2
  • Topics to include
  • Models of distributed computation and their
    appropriateness for different tasks
  • Generic problems in distributed computing
  • Platform dependence, security, fault recovery,
    resource discovery and unavailability
  • Hands-on experience of current packages
  • Condor, web services, Globus Toolkit, etc
  • To be taught by NeSC Training team

9
Scientific Software Engineering 1 2
  • Topics to include
  • Software development cycle
  • From initial requirements to maintenance of code
  • Benefits from disciplined software engineering
  • Unified Modelling Language (UML)
  • Its use in the design of object-oriented software
  • Managing distributed software teams
  • Development of distributed software
  • Developing existing Informatics courses

10
Introduction to Scientific Data
  • Topics to include
  • The role of data in the scientific process
  • Validation, reproducibility, provenance
  • Passage from raw state to archived products
  • Data management strategies
  • Databases, files, XML, etc
  • Metadata for data discovery integration
  • Case studies from several disciplines
  • Seek collaboration with Digital Curation Centre

11
Optional courses
  • Three types of optional course
  • Courses from existing MSc programmes
  • e.g. Informatics, High Performance Computing
  • New courses from application areas
  • e.g. astronomy - The Virtual Observatory
  • Preparing students to undertake projects in
    several Schools within the University
  • Advanced (4th/5th year) undergrad. courses
  • Wide range of existing options

12
Examples of individual study programmes
  • Student wants to work in drug discovery
  • Core, plus Bioinformatics 1 2, Applied
    Databases and Learning from Data 1
  • Student wants to be astronomer
  • Core, plus Virtual Observatory, Astrophysical
    Cosmology, Applied Databases, High Energy Astro.
  • Student wants to work in IT industry
  • Core, plus Computer Networking, Computer
    Graphics, Parallel Architectures, Parallel
    Algorithms and Programs

13
Current status
  • Anticipate first admissions in Sept 2005
  • course approved at School College level
  • awaiting rubber-stamping at University level
  • Seeking funding to support students
  • Priority in recent EPSRC CTA bid
  • Marie Curie EST proposal in Dec (Dip.?)
  • Student Awards Agency for Scotland (Dip.)
  • Long-term goal
  • All-Scotland (or all-UK?) collaboration
Write a Comment
User Comments (0)
About PowerShow.com