Undergraduate Course: Making Sense of Disease Pathways (BIME10034)

Course Outline
School	Deanery of Biomedical Sciences	College	College of Medicine and Veterinary Medicine
Credit level (Normal year taken)	SCQF Level 10 (Year 4 Undergraduate)	Availability	Not available to visiting students
SCQF Credits	20	ECTS Credits	10
Summary	Pathway models define extent of knowledge and functional relationships between cellular components and support systems level appreciation of biological function. This course is part of an experiment now in its 8th year. Over this time we have been developing the knowhow and tools to allow us to draw pathway diagram of biological systems in a standardised way such that the information presented in multiple papers can be collated into a single diagram. During this course you will be taught how to synthesise complex ideas and information into informative and easy to read, computational pathway resources. In addition you will be introduced to some of the molecular methods used to analyse biological systems from which networks of interactions may be generated. And also how genetically modified animals may be generated and used to study normal physiological and pathological processes. A number of pathway diagrams produced during the course of previous years can be found at: http://www.macrophages.com/macrophage-pathways
Course description	Not entered

Entry Requirements (not applicable to Visiting Students)
Pre-requisites		Co-requisites
Prohibited Combinations		Other requirements	None

Course Delivery Information
Not being delivered

Learning Outcomes
On completion of this course, the student will be able to: an understanding of methods used to identify and characterize protein and gene interactions an appreciation of how genetically modified animals can be generated and used to study normal and pathological systems skills in finding, reading and deriving understanding from the scientific literature, presentation of information in a diagrammatic form communicating clearly using pictures and skills in using new software tools an understanding of networks and genome science a deep understanding of the molecular machinery that makes up cellular pathways