BSc (Hons) Computer Science with Mathematics with Foundation Year

This module aims to provide an introduction to technical computing and the application of computers in the implementation of simple algorithms.

This module aims to provide you with the mathematical knowledge, understanding and skills which are required to use mathematics as an analytical tool in engineering and technology subjects.

This module will introduce you to the software development process in order to be able to use a range of computer programming environment and their applications. You will also be able to develop problem solving skills in computing and wider engineering or technology areas.

This year long module supports you in developing the academic and practical skills needed to become an effective and independent learner. It includes regular contact with personal tutors, encouraging a smooth transition into the Higher Education environment.

This module enables you to identify the importance of information and how information can be transformed into developing logical designs in order to develop a working database. This database will manipulate data to produce meaningful information for the end user. You will participate in student-focused learning activities based on a combination of formal lectures and practical, experiential learning in laboratories, with supporting tutorials and seminars designed to reinforce and increase your learning experience.

This module provides you with the concepts, methods, techniques and experience to design, develop and manage digital multimedia productions. Lectures will concentrate on the necessary theory of these topics while hands-on practical sessions and workshops will develop the capabilities to design, create, produce and deliver media rich experiences.

The emphasis of this module will be on the underlying computing challenges of large-scale applications of the kind regularly featured in the general media. The intention is to demystify these applications and spark your interest in the underlying computing challenges and solutions. Lectures on contemporary applied computing topics will be complemented with lab sessions encouraging you to research information and develop high-level solutions to related problems.

This module will provide the basic mathematical concepts and methods needed to solve a range of problems with scientific, business and statistical applications. You will be introduced to concepts of complex numbers and their application and introduced to methods for solving ordinary first and second order differential equations.

This module provides you with the experience of using pencil-and-paper techniques and mathematical software to solve realistic problems in Linear Algebra.

In this module you will study programming and problem-solving skills with no prior assumptions of programming experience. You will gain an understanding of how software is developed and become familiar with a range of computer programming paradigms.

This module is intended to provide students with a strong foundation in the topics underpinning computer science. The module engages the student with modelling systems and analysis techniques that are used to investigate and understand computing and software engineering problems. The intention is for the student to develop a scientific and engineering ethos that will enable the computer science student to understand the science of computing and translate this into practice.

On the first weeks, the module intends to introduce the main concepts in small lecture fragments intertwined in otherwise tutorials slots. The tutorials will be based in computer labs and students will be expected to work as a group starting from Week 3. Almost every week, you will receive a new, small scale, computer science problem that links your group working and problem-solving skills with your knowledge from the previous lectures and tutorial sessions. Through these small problems you will see how to approach larger and larger problems similar to the coursework. The team-working and problem-solving skills will be aided by the delivery team. This module introduces you to the skills required for developing technical computer science solutions in software as part of a development team. Each team will be fully supported by the delivery team. You will be expected to arrive at solutions yourself, acquire most of the necessary skills and knowledge yourself, and support your team members to strengthen cohesion and to arrive at solutions earlier.

This module introduces the concepts of client-side web development. Students will learn how to create interactive web pages that present a user interface using HTML5 and CSS, processed using custom JavaScript code.

The module begins by exploring the operation of database systems through a scrutiny of modern RDBMS (Relational Database Management Systems), the SQL (Structured Query Language) along with database connectivity APIs (Application Programming Interfaces). The module moves on by exploring some of the managerial considerations of large-scale RDBMS. The module concludes by exploring the operation of emerging NoSQL (Not Only SQL) database systems. This module thusly represents the logical follow-on to NQF4’s Data Modelling module.

This module introduces you to the theory, methods, techniques and tools involved in the development of knowledge-based and intelligent systems. It will provide you with the knowledge, understanding and experience of the development process, tools and techniques used for producing knowledge based and 'intelligent' systems.

This module provides an introduction to automata theory and formal language theory and emphasizes real life application where these ideas are applicable. Particular attention is paid to compiler design considerations using regular expressions and context-free grammars. The module also investigates the limits of effective computation by studying undecidable problems.

This module continues to build on mathematical methods and elements of discrete/finite mathematics which have increasing application in science, engineering and business decision making.

This module will build on differential equation theory that was introduced in Mathematical Methods. You will be introduced to systems of ordinary differential equations (ODEs) and determine how to solve linear autonomous systems of ODEs and to introduce the concepts of asymptotic theory as a tool for analytically approximating the solution of differential equations.

The module has two main purposes. First, you will be equipped with adequate research skills and experience of working on subject-related research topics, to lead into your final year project. Second, this module works to enhance your professionalism, including teamworking, which boosts employability and your awareness of what is expected in an employment scenario.

The aim is to provide students with an extended period of work experience at an approved partner that will complement their programme of study at LJMU. This will give students the opportunity to develop professional skills relevant to their programme of study as well as the attitude and behaviours necessary for employment in a diverse and changing environment. This extended placement forms a key part of a sandwich degree. All placements need to be assessed and approved prior to commencement in line with the LJMU Placement Learning Code of Practice. The Code of Practice requires students to conduct themselves in a professional and responsible manner during the placement - failure to do so may lead to the placement being terminated prematurely. Placements are normally for one calendar year on a full-time basis. Split placements of a shorter duration may be permissible. There is an expectation that a minimum of 1200 hours will be spent in the workplace.

The aim is to provide students with an additional year of study at an approved overseas partner that will complement their programme at LJMU. This is an additional year of full-time study at an approved higher education institution. The modules to be studied must be agreed in advance, and must be appropriate for the student's programme of study. Assuming successful completion of this year, mark-bearing credit will be awarded by the Faculty Recognition Group. The grade conversion scale to be used will be made available in advance of the year abroad.

Massive amounts of data are being generated by modern digital systems and there is a demand for rapid and effective analysis and communication of the relevant data. This module covers topics related to interpreting and displaying data for visualisation alongside techniques to present various types of data in appropriate formats. You will use computer graphic techniques to develop data and information visualisation and be introduced to the theoretical concepts of graphical display, both 2D and 3D, leading to the practical development of visualisation solutions using relevant tools and techniques.

A course on current trends in Computer Science. It provides a wide ranging look at current interests and provides a more thorough overview of a highly relevant topic.

This module works with two constantly growing areas of computing; that of Virtualisation and that of Cloud Computing. The module begins by exploring the technology that supports Virtualisation by way of Hypervisors and of Containers. Containers become the temporary focus of the module’s syllabus, culminating in the coursework deliverable. The module moves on by exploring a major Cloud Computing platform, experimenting with the various service models available including IaaS, PaaS & FaaS (Infrastructure / Platform & Function as a Service).

This module presents you with the opportunity to complete a substantial project in a chosen area relevant to your programme. The scope of what is an appropriate artefact varies between programmes and you will discuss this with your programme teams. This module will enable you to use rigorous development or scientific methods to produce an artefact, resulting in an oral and written report.

This module gives an introduction to Data Science and aims to introduce you to the Data Science field, providing you with a wide range of methods and state-of-the-art technologies that are on demand in the job market.