Statistical Techniques for Computational Scientists
- Cod y Modiwl
- MAM5220
- Teitl y Modiwl
- Statistical Techniques for Computational Scientists
- Blwyddyn Academaidd
- 2026/2027
- Semester
- Semester 2
- Cyd-gysylltydd y Modiwl
- Dr Kim Kenobi
- Rhestr Ddarllen
- Gweld ar Aspire
- Rhagofynion
-
MAM5120
- Staff Eraill sy'n Cyfrannu
- Dr Kim Kenobi
- Dr Gwion Evans
- Miss Sylvia Lutkins
Dulliau Asesu
|
Math o Asesiad |
Manylion Asesiad |
Cyfran |
|---|---|---|
| Asesiad Semester | Three practical portfolios 3 x 25%Consultancy exercises 25% (9% for presentation, 16% for essay) | 100% |
| Asesiad Ailsefyll | Resubmission of failed components | 100% |
Canlyniadau Dysgu
Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:
- On completion of this module, students should be able to. Select and apply advanced statistical methods to research problems
- Apply the more advanced capabilities of R to analyze complex data
- Select and apply advanced statistical methods to research problems
- Interpret and report effectively the results of statistical analyses
Disgrifiad cryno
The more advanced capabilities of R will be explored and mastered by applying statistical techniques to problems in Computational Biology.
Nod
This module will allow students to master the more advanced capabilities of R by using them to apply a variety of statistical techniques to problems in Computational Biology. Students are introduced to a variety of new techniques and applications, and proceed to study three of these in depth.
Students will also gain experience of Statistical consultancy.
Cynnwys
1. Introduction to a number of advanced topics such as:
MANOVA
Principal Component Analysis
Time series
Epidemiology
Generalised linear models
Transcriptomics
Sgiliau Modiwl
|
Math o Sgiliau |
Manylion Sgiliau |
|---|---|
| Cyfathrebu | Consultancy exercises |
| Datblygu personol a chynllunio gyrfa | Experience of statistical consultancy |
| Datrys Problemau | Identifying and using statistical techniques to solve problems in Computational Biology |
| Gwaith Tim | Joint work in consultancy |
| Gwella dysgu a pherfformiad ei hun | Awareness of advanced techniques and detailed study of some of these |
| Rhifedd | Inherent in the study of statistics and statistical methods |
| Sgiliau pwnc penodol | Expertise in advanced analysis techniques |
| Sgiliau ymchwil | Experimental design |
| Technoleg Gwybodaeth | Mastery of the advanced capabilities of R |
Nodau
Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 7
Mathematics,Aberystwyth University, Physical Sciences Building, Penglais, Aberystwyth,
01970 622802 : +44 : +44 (0)1970 622021
maths@aber.ac.uk: maths@aber.ac.uk
