This module aims to help you engage with more complex technical material delivered later in the Advanced Neuroimaging course by introducing you to essential concepts in Mathematics, Physics and IT relating to Neuroimaging research. 
The module also gives you an introduction to Statistics to help you critically appraise journal articles and to make good choices while developing study designs for your Research Projects.
Finally, the module introduces the main principles of Image Formation and will allow you to develop your coding skills using MATLAB for numerical calculation, data analysis & display - you will no doubt find this an invaluable tool for your future research.
At the end of this module, students will be able to…
1. Core Mathematics (CM)
1.01:                Demonstrate understanding of and competence in the basic mathematics of imaging science, such as vectors, matrices, exponential functions, periodic functions, complex numbers and Fourier analysis. 
2. Core IT (CIT)
2.01:                Describe the basic architecture of modern computer systems, hardware and software.
2.02:                Use decimal and binary approaches to represent data and compare different approaches to the compression of data
2.03:                Discuss the key features of medical image metadata and Digital Image Communications in Medicine (DICOM) and the role they play in medical imaging
3. Matlab (ML)
3.01:                Understand, design and code programs in the Matlab programming environment, executing tasks relating to the Core Mathematics learning outcomes.
4. Principles of Image Formation (PIF)
4.01:                Describe the basic principles of image formation relevant to modern neuroimaging.
4.02:                Describe the basic concepts of image perception and representation, digital images and basic digital image transformations.
5. Core Physics (CP)
5.01:                Demonstrate a knowledge of the necessary background physics required for the remaining course units, including essential wave behaviour, electricity and magnetism, atomic structure and radiation.
6. Introductory Statistics (S)
6.01:                Demonstrate understanding of the basic statistical methods required to carry out independent research in the field of Neuroimaging.
6.02:    List and describe the basic concepts in statistics that are required in Artificial Intelligence.