Catalogue of Courses & Student Handbook - SUPA
Catalogue of Courses & Student Handbook - SUPA
Catalogue of Courses & Student Handbook - SUPA
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Core Skills <strong>Courses</strong><br />
Semester 1<br />
C++/Object Oriented Programming (<strong>SUPA</strong>COO)<br />
Lecturer: Adrian Buzatu<br />
Institution: Glasgow<br />
Hours Equivalent Credit: 12 (4 x 1hour lectures and 4x2hr tutorials)<br />
Assessment: Continuous Assessment<br />
This course includes three lab sessions based in Glasgow which<br />
students will need to attend in person. This course has priority booking<br />
for Particle Physics students. Please refer to the timetable and visit the<br />
My.<strong>SUPA</strong> course area for more information.<br />
Course Description<br />
This course introduces students to C++ via lectures and handson<br />
sessions. The topics covered are: C++ Syntax; standard out,<br />
in and error, loops and conditional C++ statements, Basic file<br />
streams; Objects 1: implementing objects, member functions, objectobject<br />
communication, operator overloading, inheritance; Object 2:<br />
polymorphism, templates, the Standard template library.<br />
All <strong>SUPA</strong> students are required to complete 20 hours <strong>of</strong> Core Skills<br />
Training during the first two years <strong>of</strong> their PhD studies. <strong>SUPA</strong> Core<br />
Skills Training <strong>Courses</strong> are listed on the following pages. However,<br />
students may also participate in Generic Skills Training run by their local<br />
departments and universities or run by Vitae (a UK-wide organisation<br />
sponsoring Generic Skills Training) or their Research Councils.<br />
Please note that enrolment for Core Skills Training is <strong>of</strong>ten run separately<br />
from enrolment procedures for Technical <strong>Courses</strong>. Information about<br />
enrolment procedures for each course will be posted on My.<strong>SUPA</strong><br />
course areas and announced to all students via email. If you have any<br />
questions about enrolment for <strong>SUPA</strong> Core Skills Training <strong>Courses</strong>,<br />
please email admin@supa.ac.uk.<br />
Information about Generic Skills courses run by Vitae and individual<br />
universities can be found at the following websites:<br />
Vitae:<br />
http://www.vitae.ac.uk/policy-practice/1750/Scotland<br />
-and-Northern-Ireland-Hub.html<br />
University <strong>of</strong> Aberdeen:<br />
http://www.abdn.ac.uk/rsd/<br />
University <strong>of</strong> Dundee:<br />
http://www.dundee.ac.uk/genericskills/<br />
University <strong>of</strong> Edinburgh:<br />
http://www.ed.ac.uk/schools-departments/instituteacademic-development<br />
University <strong>of</strong> Glasgow:<br />
http://www.gla.ac.uk/researcherdevelopment/<br />
Heriot Watt University:<br />
http://www.hw.ac.uk/edu/research/index.html<br />
University <strong>of</strong> St Andrews:<br />
http://www.st-andrews.ac.uk/capod/GRADskillsProgramme/<br />
University <strong>of</strong> Strathclyde:<br />
http://www.strath.ac.uk/careers/pgr/<br />
University <strong>of</strong> the West <strong>of</strong> Scotland:<br />
http://www.uws.ac.uk/research/research-degrees/<br />
Introductory Data Analysis (<strong>SUPA</strong>IDA)<br />
Lecturer: Katherine Kirk<br />
Institution: UWS<br />
Hours Equivalent Credit: 6<br />
Assessment: Continuous Assessment<br />
Course Description<br />
This course provides an introduction to uncertainty in measurements and<br />
how to understand and deal with data. Topics will include: random error<br />
and relation to statistics; probability distributions and their properties;<br />
calculation <strong>of</strong> uncertainty; least squares model; applications <strong>of</strong> data<br />
analysis.<br />
Maths Primer (<strong>SUPA</strong>PRI)<br />
Lecturer: Patrik Öhberg<br />
Institution: Heriot Watt<br />
Hours Equivalent Credit: 6<br />
Assessment: Continuous Assessment<br />
Course Description<br />
The course will be in the form <strong>of</strong> a maths primer intended for beginning<br />
PhD students in condensed matter, solid state and photonics.<br />
The topics which will be covered include: Matrix diagonalisation,<br />
complex integration and residues, Fourier transforms, and a discussion<br />
on different notations which the students will encounter during their<br />
studies.<br />
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