BSc COMPUTING SCIENCE WITH A FOUNDATION YEAR

CMP-3002A  (20 Credits)

In taking this module you will learn about a wide range of topics that are fundamental to computing science. You will study areas such as history of computing, the binary system, logic circuits, fetch and execute cycles as well as components that made up of modern computer systems. Internet related technologies will also be covered. In the practical work for the module you will use a range of tools and techniques appropriate to the topic being studied.

CMP-3006B  (20 Credits)

This module follows on from Foundations of Computing 1. You will learn about a further range of topics that are fundamental to computing science. You will study areas such as database design, accessing databases via dynamic websites, an introduction to machine code, machine learning and an introduction to higher level languages.

CMP-3005A  (20 Credits)

Introductory Programming introduces a number of programming concepts at the start of your programming career, using a modern programming language common to many digital industries. We structure learning through lectures, delivering core materials, and tutor supported exercises to reinforce learning, and to prepare students for programming in their following studies.

CMP-3007B  (20 Credits)

In taking this module you will learn how information systems are used in business. You will be introduced to the concept of the lifecycle approach to systems development and basic systems analysis and design techniques using a top down, functional decomposition approach.

MTHB3001A  (20 Credits)

Taught by lectures and seminars to bring students from Maths GCSE towards A-level standard, this module covers several algebraic topics including functions, polynomials and quadratic equations. Trigonometry is approached both geometrically up to Sine and Cosine Rule and as a collection of waves and other functions. The main new topic is Differential Calculus including the Product and Chain Rules. We will also introduce Integral Calculus and apply it to areas. Students should have a strong understanding of GCSE Mathematics.

MTHB3005A  (20 Credits)

This is a course in mathematics for students who have studied Maths at GCSE level gaining a grade B/C or equivalent and/or more than two years ago. The course includes some AS level material relevant to science. This module is reserved for students on the Chemistry, Biology, Pharmacy, Environmental Science or Computing Foundation Years.

MTHB3002B  (20 Credits)

Following MTHB3001A (Basic Mathematics I), this module brings students up to the standard needed to begin year one of a range of degree courses. The first half covers Integral Calculus including Integration by Parts and Substitution. Trigonometric identities, polynomial expressions, partial fractions and exponential functions are explored, all with the object of integrating a wider range of functions. The second half of the module is split into two: Complex Numbers and Vectors. We will meet and use the imaginary number i (the square root of negative one), represent it on a diagram, solve equations using it and link it to trigonometry and exponential functions. Strange but true: imaginary numbers are useful in the real world. The last section is practical rather than abstract too; we will be looking at three dimensional position and movement and solving geometric problems through vector techniques.

MTHB3006B  (20 Credits)

This module is ideal for you if you are studying a Science Faculty degree with a Foundation Year or Computing with a Foundation Year and have completed study of the module Introductory Mathematics for Scientists. You will build on the knowledge gained during the Mathematics for Scientists introduction module and advance your skills.

Your foundation year will give you an important grounding in computing, programming and essential mathematics before you move on to the rest of your degree. By the end of this year, you will:  

• Understand the fundamentals of computing 
• Be able to program in a high-level language 
• Feel confident in mathematics for computing science 
• Understand the essentials of computing for business 

You can then move on to the three-year BSc in Computing Science course, where you’ll start by mastering the core material underpinning computer science. 

All of our computer science courses follow an identical structure in the first two years. This means that you can easily transfer onto the year abroad, year in industry, or with education programmes. 

Alternatively, you could choose to follow your Foundation Year with one of the School of Computing’s other degrees. 

For the years of study beyond the Foundation Year, please see the full BSc Computing Science course. 

Teaching 

You’ll learn through a mixture of lectures, seminars and lab classes – where the lab and seminar classes reinforce and expand on the lecture material. 

We use a variety of programming languages depending on the devices and application areas we’re focusing on. Importantly, you’ll be working with the software development tools and practices used in the industry right now, building your experience in each year. Upon graduation, you’ll have the technical ability to develop high quality software for a range of platforms. 

Independent study 

Alongside your formal learning, you’ll study independently to gain a deeper appreciation of specialist topics. In your final year project, you will explore a topic or work on a problem in depth, under the supervision of a member of the faculty. 

We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module. 

You’ll be assessed by a combination of:  

• Examination (approximately 30%) 
• Demonstrations and Presentations (approximately 40%) 
• Written assignments (approximately 30%)