BSc (Hons) Artificial Intelligence and Data Science Bachelor's degree at Northampton

introduce students to the skills, principles and concepts necessary to solve problems in computing; to develop essential skills to enable the solution of these problems with the construction of appropriate algorithms and a computer program; introduce principles underlying the design of a high level programming language (HLPL); gain experience and confidence in the use of a HLPL to implement algorithms; implement HLPL programs using an appropriate programming language e.g. Java; introduce an obje

This module introduces a set of mathematical topics, which include binary number system, logic circuits, linear systems, graph theory, probability and statistics, that are widely studied by those learning computing sciences. The module equips students with fundamental mathematical skills which underpin a range of computing disciplines.

This module provides knowledge of the hardware and software components that make up a computer system and overview the important concepts in preparation for future study of computer science.

This module develops student's understanding of the principles of communication networks and how to classify the various network devices in the appropriate layer of the protocol stack. Students will learn how to manage IP addresses in a small network and will develop confidence in using network simulation software.

This purpose of this module is to give students an understanding of client side web technologies. This module provides students with: the essential knowledge and practical skills to design, develop and implement a Web site to contemporary web standard

The purpose of this module is to develop student's experience with the multiple stages of software engineering life-cycles from initial need and requirements identification through to the design and implementation of code in order to develop confidence in the use of terminology and techniques for each of the stages.

The purpose of this module is to understand and apply the principles of database integrity to implement and utilise efficient databases. RD is a practical module that employs data modelling and SQL techniques to design, define and manipulate data.

The purpose of this module is to provide a fundamental understanding of the concepts of big data, virtualisation, and cloud computing. Students explore, select and justify appropriate frameworks/technologies for big data processing, virtualisation, and cloud computing solutions for a given scenario.

The module introduces fundamentals of data science and machine learning. Students will gain understanding of ethical and legal considerations when analysing data and acquire skills to address bias. Students will practice using data processing, modelling and visualisation tools for problem solving of practical challenges and the development of AI-driven applications

This module provides students with a conceptual understanding of common data structures and algorithms used in Computer Science and Software Engineering. It enables students to implement and evaluate a selection of algorithms and abstract data types, including linked lists, stacks, queues, graphs and binary trees using an object-oriented language.

The module is designed to develop higher-order intellectual skills (problem-solving) and appropriate personal qualities including team working. Each group will develop and document effective, robust and high-quality computing systems to a professional standard in response to a supplied specification of requirements.

This purpose of this module is to give students an understanding of the concepts and technologies of web based server side technologies; teach students to use up-to-date programming techniques to design and develop coherent server side software for websites with a focus on security, functionality and usability.

This module introduces the most recent theories, methods, and tools in Natural Language Processing (NLP) to develop high-performance NLP-driven applications. Students apply traditional and advanced NLP methods to common use-cases, with a focus on establishing successful Machine Learning-based NLP solutions using cutting-edge Deep Learning algorithms and Transfer Learning methods.

Media Technology is an important aspect to Computer Science. This module will introduce a range of technologies relevant to modern multimedia systems. This includes computer graphics, digital image processing, online video streaming, immersive media, and other advanced applications. Student will develop audio-visual systems in a third generation computer language.

The purpose of this module is to study advanced/latest database topics. The module focuses primarily on NoSQL databases (e.g., graph and document databases), from designing and creating to querying the databases.

The purpose of this module is to: teach students the fundamental theories and practical applications of advanced artificial intelligence techniques including artificial neural networks, image classification and object detection. The underpinning concepts will be introduced, followed by examples of how responsible and ethical artificial intelligence applications are developed and tested.

This project module provides the opportunity for the student to undertake independent research, development, and self-management of a Computing related project leading to completing a dissertation. An essential outcome for this module is that the student's project deliverable includes the design and development of a system, or a software application, or a novel functional approach that relates to the main areas of student study, and that can be used, applied or demonstrated in some way. Students