Data Acquisition and Processing Systems (DPS) (ELEC0136)

The DAPS module will cover technology, principles and applications of data collection, preparation, and storage for data science systems. In particular, the module will cover a wide range of topics such as sampling theory and practice, data collection and database query and processing, graph-based processing, and compressed sensing technologies.

The module will also encompass Lab sessions so that students can learn how to apply the underlying principles to address problems in the area of database query and processing, data wrangling, and processing.

CONTENT

sampling theory and practice,
	data collection,
	database query and processing,
	graph-based processing,
	hardware architectures for data processing.
On completion of this course, you should be able to:

understand fundamental concepts on data sampling (e.g., A/D, etc) for gathering and making best use of data, with practical applications such as database collections.
	to infer patterns with statistical data analysis tools for a better understanding of your dataset, with practical application on database processing.
	be familiar with data preparations, developing knowledge on data cleaning and feature extraction, for example.
	understand and implement proper data processing tools for large scale datasets
	be familiar with hardware architectures for data processing and machine learning
SYLLABUS

Data Acquisition
	Statistical sampling
	Data Representation
	Data Wrangling
	Hardware for efficient machine learning
	Lab I: get familiar with data processing and database creation
	Lab II: crunching big dataset

The module will give students a grounding in the underlying physics for electronic engineering, in particular the principles of electromagnetics and the...

Physics of Electronics and Nanotechnology 1 (ELEC0005)

The module will give students a grounding in the underlying physics for electronic engineering, in particular the principles of electromagnetics and the physics of electronic materials applied to electronic devices and systems. The course will develop an understanding of the integral forms of Maxwell’s equations as well as basic concepts used to understand the way in which the electrical properties of semiconductors are controlled and used in electronic devices. The module will help student to appreciate the need for a description and analysis of electromagnetic fields applied electronic engineering and the extent to which an understanding of these is needed beyond the use of current and voltage in circuits and other electronic systems, to formalise in vector notation the description of electric and magnetic fields, and to have a physical insight into the use of Gauss' Law and Faraday's Law for analyzing electronic devices. The module will also provide an introduction to basic concepts behind the physics of electronic materials and devices and show how they can be used to understand the operation of devices such as diodes, LEDs, solar cells and transistors.