Unit name | Statistical Computing 2 |
---|---|
Unit code | MATHM0040 |
Credit points | 20 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Fasiolo |
Open unit status | Not open |
Pre-requisites |
Statistical Methods 1 and Statistical Computing 1 |
Co-requisites |
None |
School/department | School of Mathematics |
Faculty | Faculty of Science |
This unit introduces students to the wider ‘computerverse’, especially those parts of it pertinent to scientific and big-data computing. These include tools to extend R and to enhance its performance, other computer languages, and other computing environments. This is a rapidly-changing area, and undoubtedly some of today’s state-of-the-art methods will be tomorrow’s also-rans, and so there is emphasis on skills for self-development. Parts of this unit will be developed and delivered in conjunction with the University’s Advanced Computing Research Centre.
By the end of the unit students should be able to:
Some lab based instruction as mentioned above in details
Formative: a homework each week
Summative: