This module introduces students to the principles and techniques of machine vision, including image acquisition, processing, and analysis. Topics cover image recognition, object detection, and pattern recognition, with applications in health, industrial automation, and AI-driven systems.
This module explores the concepts and practices of database management systems. Students gain hands-on experience with data modeling, SQL, relational databases, and database design. Key topics include data storage, retrieval, normalization, and managing large datasets, preparing students for roles in data management and analytics.
This module covers the fundamentals of digital circuits and logic design. Students learn about binary systems, logic gates, combinational and sequential circuits, and how to design and analyze digital systems. This foundational knowledge is essential for fields like electronics, computer engineering, and embedded systems.
This module introduces the basics of computer networking and communication. Students learn about network topologies, protocols, and the OSI model, as well as foundational concepts in local and wide area networks (LAN/WAN). The course also covers practical skills in configuring network devices and troubleshooting networked PCs.
This module provides an overview of information security principles, covering essential topics like cryptography, network security, and risk management. Students learn about the fundamental tools and practices used to protect data integrity, confidentiality, and availability, crucial for roles in cybersecurity and IT.