Artificial Intelligence research and development spans over a period of nearly 70 years. During this period the academicians have been trying to address most of the aspects of human intelligence known from other fields – mathematics, philosophy, psychology, linguistics, biology, etc. As a result, AI was clearly partitioned into several areas, each with its own methodology of investigation and technology of problem solving – state-space problem solving, decision making, automated reasoning, knowledge-based planning and machine learning. While during different periods one or another were attracting the attention, all of them found practical applications and gradually evolved, reaching bigger depth and maturity.

This module introduces the essential principles, methods and techniques in AI. It covers a broad range of topics such as search, planning, logic, knowledge representation and inference. It discusses examples of intelligent systems and studies how to develop intelligent applications such as expert systems, natural language systems, and autonomous mobile and robotic systems. Students will be offered lectures, which introduces the important concepts, explain the principles and techniques, and demonstrate how to apply them to solve problems in the related topics.  The workshops will provide practical sessions to help students understand the content of the lectures and build the necessary skills to develop intelligent systems.

This module aims to strengthen your skills in data technologies ranging from database and data warehousing to Big Data. First, it will provide you with good understanding of database concepts and database management systems in reference to modern enterprise-level database development. Once gaining good skills in database development, you will be able to study and gain an in-depth understanding of data warehousing which include concepts and analytical foundations as well as data warehousing development. Through intensive hands-on sessions, you will be able to get familiar with related technological trends and development in the field. The module will leverage a portfolio of SQL server tools such as, SQL Server Management Studio (SSMS) and Azure Data Studio, to provide hands-on experience in implementing a reporting solution through a combination of assignments and lab exercises.

This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures, and capabilities. The module will place emphasis on modern system architecture and design, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust, in the development of Cloud-based IoT systems. Practical work within the module will provide students with real, hands-on, experience of building a basic Internet of Things infrastructure that can access Cloud Computing services and the opportunity to develop their Python programming skills and abilities. Some basic knowledge of Python will be used throughout. Understanding of various Intelligent, wired, and wireless technologies could be an advantage.