Engineering and Computer Science

ENGINEERING AND COMPUTER SCIENCE IYZ

CONTINUATION DEGREES ABOUT THE COURSE BSc (Hons) • Computer Science

• Computer Information Systems

• Computer Information Systems for Business

• Electronic Engineering Covering the major mathematical and scientific principles, this course gives you a great start in engineering and computing. With a heavy focus on maths, physics and programming, you will deepen your understanding of these subjects during your foundation year.

BEng (Hons) • Electronic Engineering After finishing the course, you will continue your studies in either our School of Computer Science where you will obtain a BSc degree that is accredited by the British Computer Society or you will join our School of Electronic Engineering with its range of specialist courses. Our BEng degree courses, which are accredited by the Institution of Engineering and Technology, can set you on the road to Chartered Engineer Status.

"Students at Electronic Engineering are involved with a number of professional bodies. Electronic

Engineering is an academic partner of the UK IET and also has student chapters of two international engineering societies - IEEE and SPIE.”

Dr Iestyn Pierce Head of Electronic Engineering

ENGINEERING AND COMPUTER SCIENCE IYZ

WHAT WILL I STUDY? You will study a number of modules throughout the duration of your course.

Compulsory modules include:

Database Design and Usage This module is a practical introduction to the technology and terminology around tabular data, and the construction and use of a database. You will develop a database for a given situation – for example, a simulated business using current standards and appropriate software – and use that database to identify and solve problems.

Electricity, Electronics and Fields This module provides you with a basic knowledge of electricity and electronics, and of fields, that you will be able to apply in real engineering and computing situations. You will learn about current and charge, Ohm’s Law, capacitors in DC circuits, measuring AC, transistors and logic circuits.

Further Mathematics This module covers complex mathematical skills and knowledge, such as: algebra, including partial fractions and inverse functions; the circle; trigonometry; differentiation and integration, including trigonometric, and logarithmic and exponential functions; and solving firstorder differential equations with separable variables, vector and vector methods in two and three dimensions, and forces as fixed vectors. Mechanics Continuing to develop your maths skills and knowledge, this module introduces you to the relationships between forces, linear motion and energy, and the conditions for the static equilibrium of a body. The main topics it covers are: vectors; forces and equilibrium; relative motion; Newton’s Laws of Motion; friction, including Hooke’s Law; and work, energy and power, including work and kinetic energy, and the conservation of mechanical energy.

Problem Solving and Programming Introducing you to problem solving via computer applications, you’ll develop a basic understanding of algorithms and their uses, as well as gaining hands-on experience using simple software programs to solve problems. You will receive a basic introduction to the techniques of data handling and processing, and to the syntax of programming languages required for a computing degree

Properties of Matter and Waves In this module, you’ll gain a basic knowledge of atomic physics, materials, heat and gases, and oscillations and waves. There is a heavy emphasis on safe laboratory practice and procedures. The main topics covered are: properties of waves; sound; reflection and refraction; interference and diffraction; and electromagnetic waves.

Pure Mathematics This module provides you with the appropriate foundation in maths skills that you need for undergraduate studies in engineering and computer science. The main topics covered are: algebra, including indices and logarithms; binomial theorem and quadratic equations; differential calculus; integration as the inverse of differentiation; set theory; and probability and experimental laws.

Email: buic@bangor.ac.uk

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Engineering and Computer Science