# Modules

### MAS8401 : Numeric Skills (Statistics and Mathematics)

• Offered for Year: 2019/20
• Module Leader(s): Mr Aamir Khan
• Lecturer: Dr Sirio Orozco Fuentes
• Owning School: Mathematics, Statistics and Physics
• Teaching Location: Newcastle City Campus
##### Semesters
 Semester 1 Credit Value: 10 Semester 2 Credit Value: 5 ECTS Credits: 8.0

#### Aims

To introduce fundamental statistical and mathematical concepts and techniques of importance in Bioinformatics.

Module Summary

This module provides an introduction to the basic statistics and mathematics skills that you need for bioinformatics and computing. The module runs over the whole year, covering statistics first and then leading into aspects of discrete mathematics.

#### Outline Of Syllabus

Introduction to data analysis; probability axioms; combinatorics; conditional probability; discrete probability models; continuous probability models; properties of estimators; unbiased estimators; sampling distributions; central limit theorem; maximum likelihood estimation.
Set theory (basic sets; functions; relations);
Automata (finite state machines; languages and grammars);
Linear algebra.

#### Teaching Methods

##### Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture361:0036:00Formal lectures
Scheduled Learning And Teaching ActivitiesPractical61:006:00Computer practicals
Scheduled Learning And Teaching ActivitiesSmall group teaching181:0018:00Seminars
Guided Independent StudyIndependent study145:0045:00Written assignments and CBAs
Guided Independent StudyIndependent study145:0045:00Studying, practising and gaining understanding of course material
Total150:00
##### Teaching Rationale And Relationship

The statistics element will be taught mainly via lectures with additional seminar discussions and computer practicals to reinforce both technical and practical aspects. The mathematical element requires more formal teaching through lectures and also discussion in seminars.

#### Assessment Methods

The format of resits will be determined by the Board of Examiners

##### Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M66N/A
Prob solv exercises2M34N/A
##### Assessment Rationale And Relationship

This module is entirely assessed by coursework. In Semester 1 there are approximately 6 written assignments of approximately equal weight. In Semester 2, the nature of the material changes and the coursework changes to reflect this, with two written assignments of approximately equal weight.