Postgraduate

Modules

Modules

MAS8406 : Numeric Skills for Digital Biology

Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

To introduce fundamental statistical and mathematical concepts and techniques of importance in Bioinformatics, Synthetic Biology and Neuroinformatics (collectively referred to as digital biology)

Module Summary

This module provides an introduction to the basic statistics and mathematics skills that you need for computational aspects of biology. The module covers both statistics and 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; sampling distributions; central limit theorem; statistical inference; maximum likelihood estimation.
Set theory (basic sets; functions; relations);
Automata (finite state machines; languages and grammars);
Linear algebra.

Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion181:0018:00Lecture follow up
Structured Guided LearningLecture materials181:0018:00Non-Synchronous (Pre-recorded) Lectures
Scheduled Learning And Teaching ActivitiesPractical32:006:00Present in person structured synchronous practical
Guided Independent StudyProject work34:0012:00Coursework
Scheduled Learning And Teaching ActivitiesDrop-in/surgery31:003:00Virtual office hours
Guided Independent StudyIndependent study371:0037:00Background reading
Scheduled Learning And Teaching ActivitiesScheduled on-line contact time32:006:00Synchronous On-line Tutorials
Total100:00
Teaching Rationale And Relationship

Pre-recorded lectures and set reading are used for the delivery of theory and explanation of methods, illustrated with examples. Practicals are used both for solution of problems and work requiring extensive computation and to give insight into the ideas/methods studied. There is one present-in-person practical session per week to ensure rapid feedback on understanding. Scheduled on-line contact time provides opportunity to ask questions and receive immediate feedback. Students unable to attend PiP will be able to complete the practical work at home and will be able to receive immediate feedback through the scheduled on-line contact time.
Alternatives will be offered to students unable to be present-in-person due to the prevailing C-19 circumstances.
Student’s should consult their individual timetable for up-to-date delivery information.

Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

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

Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises1M100Mathematical and statistical problem-solving exercises
Assessment Rationale And Relationship

The seminars and tutorials provide formative learning and feedback opportunities.

Reading Lists

Timetable