BSc (Hons) Artificial Intelligence Bachelor's degree at Birmingham City University

Within the Computer Systems Module, you will gain knowledge and experience of computers and computer hardware. This module presents a holistic view of how computer systems work and it also provides the underpinning knowledge required: for the design of computer architecture to show how software interacts with hardware to apply electronics principles to use number systems for computer technology

A foundation in mathematics is essential to understand AI models, their evaluation and limitations, especially when appraising new developments in the field. This module will cover the required algebra, statistics and matrix operations used by these models.

Data structures and algorithms are essential in computer science, software engineering, and computer games and graphics programming. Data structures are structured representations of data; the design of a data structure determines how operations (such as reading to, writing from, modifying, or computing with the data) can be achieved. An algorithm is a set of instructions which can be followed in order to solve a computational problem.

Students will undertake a major project involving research and application of that research in the solution of systems-related problems. Knowledge and understanding are acquired though a mixture of formal lectures, tutor-led seminars and practical activities, with other independent learning activities at all stages. Emphasis is placed on guided, self-directed and student-centred learning, aimed at increasing independence of approach, thought and process. The module provides access to effective c

Assessment: seminars, coursework, viva, presentation, interactive automated assessment, formal examination, and project work

This introductory computer programming module provides the underpinning knowledge and practice for computing students to design, build and test software components. The module will make use of practical sessions primarily to allow you to apply programming principles and constructs in order to creatively solve problems by means of developing small programs. Module content and assessment enables learners to acquire programming skills in a modern imperative language.

This module covers the basic principles of artificial intelligence systems, techniques and the types of problems that can be solved by such techniques. This module also evaluates the risks and benefits of AI adoptions in different domains. Students learn about the philosophy of AI and how knowledge is represented. The module utilises a hands-on approach to teaching. Teaching sessions include experiential activities such as critique of example scenarios; these scenarios will include situations ta

Programming is an engineering tool that plays a vital role to drive most of the modern technologies surrounding us, including the technological devices for communication, transportation and entertainment. In other words it can be said that our modern lifestyles are heavily dependent on programming. Moreover, businesses increasingly rely on computers and the software run on them. Programming skills and a broader and deeper understanding of programming are therefore becoming increasingly important

During the module you will work to design, develop, use and evaluate a "backend service" system backed by a database. You will produce this system over the course of the semester through engaging with the coursework throughout various milestones, developing a "portfolio" of work as you go along. The module will be taught using a combination of lectures and practical, interactive lab sessions for learning skills and gaining important feedback. Independent learning will also be supported by a rang

Artificial Intelligence (AI) is a core component of computer science, aiming at developing intelligent agents that mimic human's cognitive capability in learning, reasoning, and problem solving. As a branch of AI, machine learning (ML) allows to create software that adapts and learns (from examples), rather than being explicitly programmed for a particular outcome. Both AI and ML rely on managing, processing and analysis of large datasets, something that Data Science (DS) is concerned with. Many

This module covers the rapidly growing area of Machine Learning Operations (MLOps) and its coupling with the management and governance of data. Data management aims to minimise the risk and cost of storing and utilising data in an efficient manner that ensures regulatory compliance, while avoiding legal complications, and security breaches. It also entails the provision of efficient access to accurate data when and, where it is needed, to facilitate effective provision of data-powered services a

Image analysis is an integral part of many commercial AI systems for tasks such as object detection, depth estimation, tracking and image generation. This module will teach the relevant concepts using open-source libraries and algorithms to create practical vision systems.

Natural Language Processing (NLP) is a rapidly developing field with broad applicability throughout the hard sciences, social sciences, and the humanities. The ability to harness, employ and analyse linguistic and textual data effectively is a highly desirable skill for academic work, in government, and throughout the private sector. This module is intended as a theoretical and methodological introduction to the most widely used and effective current techniques, strategies, and toolkits for natu