What will I learn on this module?
The aim of the module is to provide you with a broad introduction to the core areas of artificial intelligence with a focus on applications, tools and technologies used in building intelligent systems. You will learn key theoretical concepts and research advances in intelligent systems as well as state-of-the-art techniques such as knowledge representation, machine learning, data and text mining, natural language processing and understanding, and biologically inspired computing. You will learn how intelligent systems allow computers to represent, process and learn from data. You will also explore current and future applications of AI and how various AI techniques have been used to solve practical problems. Additionally, you will learn how to appropriately select from a range of AI techniques and tools to solve practical problems in different application domains. Furthermore, you will learn how to conduct performance evaluation of intelligent systems.
In particular, you will cover topics such as:
• An introduction to AI techniques, tools and applications used in intelligent systems
• Machine learning
• Biologically inspired computing
• Search, heuristics and optimisation techniques
• Data and text mining
• Natural language processing and understanding
• Data visualisation
• Selected key application areas of intelligent systems such as:
- Computer vision and digital forensics
- Biometrics, face detection and recognition
- Affective computing
- Information retrieval
- Sentiment analysis
- Intelligent robotics
- AI in games / VR / movie making
How will I learn on this module?
You will learn about key concepts, tools and selected state-of-the-art applications of intelligent systems in formal lectures given by a team of experts who have an active interest in the field. Workshop sessions support the lectures by providing you with an opportunity to practice, explore and evaluate relevant AI techniques and intelligent systems discussed in lectures. You will be encouraged to develop independent learning skills and you will also be guided on how to carry out independent research in relevant AI areas and applications. Guidance on accessing online or library resources will be given by the module team.
How will I be supported academically on this module?
Your tutors will provide you with guidance and support in lecture and workshop sessions. You will be provided with teaching material including lecture slides and workshop tasks. Selected AI applications will also be demonstrated in lectures and workshop sessions. Teaching material will be available via the University ELP.
Tutors will be available for all timetabled sessions and can also answer questions by using email or appointments outside formal scheduled lectures and workshop sessions.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. Online reading lists (provided after enrolment) give you access to your reading material for your modules. The Library works in partnership with your module tutors to ensure you have access to the material that you need.
What will I be expected to achieve?
Knowledge & Understanding:
1. Demonstrate knowledge and critical understanding of the core AI concepts, tools and technologies used in building intelligent systems for solving practical problems
2. Demonstrate critical understanding of the ethical, social and legal issues involved in the development and application of intelligent systems
Intellectual / Professional skills & abilities:
3. Critically evaluate available AI techniques, tools and technologies and assess their applicability in novel domains with contemporary research in the area of Computational Intelligence
4. Critically analyse and evaluate the effectiveness and efficiency of intelligent systems through practical applications
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
5. Carry out independent research and communicate effectively the research findings
How will I be assessed?
Summative assessment
Summative assessment, which your mark module mark will be based on, consists of two assignments:
1. Assignment 1 (40%): You will write a research report on innovative and emerging AI technologies and applications (maximum 1500 words). This assignment will assess MLOs 1, 2, 3 and 5
2. Assignment 2 (60%): You will conduct performance evaluation of an existing AI application / tool and present your evaluation results in a report (maximum 1200 words). This assignment will assess MLOs 1, 4 and 5.
You will be provided with written, electronic, feedback for each of the summative assignments.
Formative assessment and feedback
You will receive guidance and ongoing feedback on your work and progress verbally in lecture and workshop sessions.
You will also have the opportunity to discuss your progress and the needs of the summative assessment informally in the workshop sessions.
Pre-requisite(s)
Kx4xxx Programme Basics
Co-requisite(s)
None
Module abstract
The aim of the module is to provide you with a broad introduction to the core areas of artificial intelligence with a focus on applications, tools and technologies used in building intelligent systems. You will learn key theoretical concepts, state-of-the-art techniques and research advances in the field of intelligent systems. You will learn how AI allows computers to represent, process and learn from data. You will also explore current and future applications of intelligent systems and how various AI techniques have been used to solve practical problems. Additionally, you will learn how to appropriately select from a range of AI techniques and tools to solve practical problems and how to conduct performance evaluation of intelligent systems.
Course info
UCAS Code G404
Credits 20
Level of Study Undergraduate
Mode of Study 3 years Full Time or 4 years with a placement (sandwich)/study abroad
Department Computer and Information Sciences
Location City Campus, Northumbria University
City Newcastle
All information is accurate at the time of sharing.
Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.
Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.
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