This module covers AI principles including problem-solving, knowledge representation, and machine learning. It combines theory lectures with practical workshops for building AI applications in image recognition, forecasting, and more.

This module imparts students with expertise in building diverse data processing systems, spanning desktop, mobile, web, cloud, and edge platforms. It covers contemporary principles, models, and tools for distributed, parallel, and embedded systems, incorporating recent advancements in software development and infrastructure.

This module helps level 6 students engage in a brief professional activity linked to their course. Activities include training, volunteering, placements, research, or entrepreneurship, requiring prior approval. It aims to provide practical experience, enhance skills, encourage networking, and apply learning through a structured plan.

This module introduces finite automata as abstract models for computers, teaching students in math and computing about computational device capabilities, limits, compiler design, mathematical models, expressive power, decision problems, and insolvability in computer science.

This module teaches mobile programming for resource-limited devices, covering theory, protocols, and frameworks. Students gain practical skills in app development, wireless services, and the mobile internet, enhancing employability through industrial-standard technologies. 

This module guides students in systematic project investigation aligned with course needs. It encompasses diverse analyses, leading to an academic or industry-focused report. Projects can involve real-world artifacts, innovation, and external collaboration.