All-provider course timetable
Wednesday 15 March 2017
| 09:30 |
R: Regression Analysis in R
Finished
This course is for new users who have learnt how to get data into R already, and know how to operate basic syntax. Emphasis will be on examples of running applied analyses of regression models for continuous, binary and ordinal outcomes using standard R procedures. Half a dozen libraries will be introduced that enables importing of data and running of linear, binary, ordinal and nominal outcome regression models in R. |
| 10:00 |
An introduction to the browser-based bibliography program EndNote Web and its interaction with Microsoft Word to produce documents containing formatted reference citations. EndNote Web is a “lite” version of the stand-alone EndNote program. It is free to use to members of the University as part of the UL's subscription to the Web of Knowledge database of references. EndNote Web enables you to search for relevant books and articles and store their citation details online. You can modify your copies of these references and add some notes. The program can later work as a “helper” application with Microsoft Word so that you can add consistently laid-out citations to a document that you are creating and create a sorted bibliography at its end. EndNote Web does not provide advanced features such as customisation of output formats (styles) , these are only available with EndNote for Bibliographies |
| 14:15 |
This course is part of the Scientific Computing series. This course will cover using Mathematica for simple numerical programming, concentrating on linear algebra. It will indicate how it can be used for more advanced work, but not attempt to teach the details. The emphasis will be more on teaching what can be done than on teaching rules for how to do specific tasks. |
Thursday 16 March 2017
| 09:30 |
This two-part course will describe good-practice aspects of designing, building and running a web site, and providing information on a web server. The requirements for providing accessible web pages, utilising the site-wide search engine on your web pages and liaising with a web design company are also covered. In addition, Helen Sargan runs an "access/site design clinic" with information providers on a one-to-one basis: please contact her directly to make an appointment. |
| 14:15 |
This course is part of the Scientific Computing series. This is a detailed overview of using parallelism for achieving more computation in the same amount of elapsed time, covering both "shared memory" and "distributed memory" designs. It will concentrate on principles rather than details, to help attendees make the right decision and proceed in the right direction. It is aimed at users with significant programming experience who need more computation power than can be delivered by a single thread of execution on a single CPU core, including those who already program in parallel. The course is also designed for system administrators who need to support parallel codes, by describing the range of practical options, and their strengths, weaknesses, configuration issues and other important issues. |
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This beginners course equips you with the skills to implement a relational database design entity relationship diagram (ERD) into a MySQL database. |
Friday 17 March 2017
| 09:30 |
This two-part course will describe good-practice aspects of designing, building and running a web site, and providing information on a web server. The requirements for providing accessible web pages, utilising the site-wide search engine on your web pages and liaising with a web design company are also covered. In addition, Helen Sargan runs an "access/site design clinic" with information providers on a one-to-one basis: please contact her directly to make an appointment. |
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This course is part of the Scientific Computing series. No previous experience of shell scripting is required for this course; however some knowledge of the interactive use of the bash shell is a prerequisite (see Simple Shell Scripting for Scientists: Prerequisites for details). This course introduces shell scripting in bash for scientific computing tasks. Day one introduces very basic shell scripts in bash which process the command line in a simple fashion. Day two covers how to write more advanced shell scripts in bash. Day three covers how to make one's shell scripts more robust. At the end of each day one or more exercises are set. It is VERY IMPORTANT that attendees attempt these exercises before the next day of the course. Attendees should make sure that they have allowed themselves sufficient study time for these exercises between each day of the course. |
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This beginners course equips you with the skills to implement a relational database design entity relationship diagram (ERD) into a MySQL database. |
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| 14:15 |
Python: Checkpointing
Finished
This course is part of the Scientific Computing series. This course introduces the concept of checkpointing - the saving of a program's state while the program is running, such that the program can be restarted from that saved state - and describes how to implement application-level checkpointing for certain types of scientific programming tasks in Python. Attendees will benefit most from this course if they have a clear idea of the types of task which they wish to checkpoint prior to attending. |
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This beginners course equips you with the skills to implement a relational database design entity relationship diagram (ERD) into a MySQL database. |
Monday 20 March 2017
| 09:30 |
This course is part of the Scientific Computing series. No previous experience of shell scripting is required for this course; however some knowledge of the interactive use of the bash shell is a prerequisite (see Simple Shell Scripting for Scientists: Prerequisites for details). This course introduces shell scripting in bash for scientific computing tasks. Day one introduces very basic shell scripts in bash which process the command line in a simple fashion. Day two covers how to write more advanced shell scripts in bash. Day three covers how to make one's shell scripts more robust. At the end of each day one or more exercises are set. It is VERY IMPORTANT that attendees attempt these exercises before the next day of the course. Attendees should make sure that they have allowed themselves sufficient study time for these exercises between each day of the course. |
| 14:15 |
This is a practical-based course for people new to writing Web pages. Only the basics of HTML (hypertext markup language) will be covered, but there are other courses for those wishing to extend their knowledge. By the end of the course participants will have created three personal linked web pages. |
Tuesday 21 March 2017
| 14:15 |
This course is part of the Scientific Computing series. This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with significant programming experience. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others. As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming. |
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Mathematica: Symbolic Linear Algebra
Finished
This course is part of the Scientific Computing series. This course will cover using Mathematica for symbolic calculations (i.e. ones operating on formulae and not just numbers), concentrating on linear algebra. It will show how to use this to get first and higher order approximations to some linear algebra problems. It will indicate how it can be used for other such work, but not attempt to teach the details. The emphasis will be more on teaching what can be done than on teaching rules for how to do specific tasks. Attendees should note that this is one of the most advanced courses on scientific computation given in the University, by any department, and is not suitable for inexperienced programmers. |
Wednesday 22 March 2017
| 09:30 |
This course is part of the Scientific Computing series. It is common for a student or researcher to find a piece of software or to have one thrust upon them by a supervisor which they must then build, install and use. It is a myth that any of this requires system privilege. This course demonstrates the building, installation and use of typical software ranging from trivially easy examples (the "configure, make, install" scheme) through to the evils of badly written Makefiles. Common errors and what they mean will be covered and by the end of the course the student should be able to manage their own software without needing to pester their system administrator. |
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A course in basic C programming intended for beginners to programming only. The aim of the course is to get everyone to the stage of being able to write small utility programs in C for carrying out simple calculations and data manipulation. |
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| 14:15 |
This course is part of the Scientific Computing series. This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with significant programming experience. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others. As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming. |
Thursday 23 March 2017
| 09:30 |
This course is part of the Scientific Computing series. It is common for a student or researcher to find a piece of software or to have one thrust upon them by a supervisor which they must then build, install and use. It is a myth that any of this requires system privilege. This course demonstrates the building, installation and use of typical software ranging from trivially easy examples (the "configure, make, install" scheme) through to the evils of badly written Makefiles. Common errors and what they mean will be covered and by the end of the course the student should be able to manage their own software without needing to pester their system administrator. |
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This course is part of the Scientific Computing series. No previous experience of shell scripting is required for this course; however some knowledge of the interactive use of the bash shell is a prerequisite (see Simple Shell Scripting for Scientists: Prerequisites for details). This course introduces shell scripting in bash for scientific computing tasks. Day one introduces very basic shell scripts in bash which process the command line in a simple fashion. Day two covers how to write more advanced shell scripts in bash. Day three covers how to make one's shell scripts more robust. At the end of each day one or more exercises are set. It is VERY IMPORTANT that attendees attempt these exercises before the next day of the course. Attendees should make sure that they have allowed themselves sufficient study time for these exercises between each day of the course. |
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A course in basic C programming intended for beginners to programming only. The aim of the course is to get everyone to the stage of being able to write small utility programs in C for carrying out simple calculations and data manipulation. |
Friday 24 March 2017
| 09:30 |
This course is part of the Scientific Computing series. It is common for a student or researcher to find a piece of software or to have one thrust upon them by a supervisor which they must then build, install and use. It is a myth that any of this requires system privilege. This course demonstrates the building, installation and use of typical software ranging from trivially easy examples (the "configure, make, install" scheme) through to the evils of badly written Makefiles. Common errors and what they mean will be covered and by the end of the course the student should be able to manage their own software without needing to pester their system administrator. |
|
A course in basic C programming intended for beginners to programming only. The aim of the course is to get everyone to the stage of being able to write small utility programs in C for carrying out simple calculations and data manipulation. |
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| 14:15 |
This course is part of the Scientific Computing series. This course is aimed at those new to programming and provides an introduction to programming using Python, focussing on scientific programming. This course is probably unsuitable for those with significant programming experience. By the end of this course, attendees should be able to write simple Python programs and to understand more complex Python programs written by others. As this course is part of the Scientific Computing series, the examples chosen are of most relevance to scientific programming. |
Monday 27 March 2017
| 09:30 |
This course is part of the Scientific Computing series. This is a simple introduction to using MPI for writing parallel programs to run on clusters and multi-CPU systems, for the purposes of "high-performance computing". It will cover the principles of MPI, and teach the use of the basic facilities of MPI (i.e. the ones that are used in most HPC applications), so that attendees will be able to write serious programs using it. It will describe other features that may be useful, but not teach their use. Any requests for particular coverage will be welcomed, but cannot be promised. |