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 |
Units you must take before you take this one (pre-requisite units) |
Statistical Methods 1 and Statistical Computing 1 |
Units you must take alongside this one (co-requisite units) |
None |
Units you may not take alongside this one |
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:
If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.
If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. MATHM0040).
How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours
of study to complete. Your total learning time is made up of contact time, directed learning tasks,
independent learning and assessment activity.
See the Faculty workload statement relating to this unit for more information.
Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit.
The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an
assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates
within the Regulations and Code of Practice for Taught Programmes.