Upon the successful completion of this course, students will be able to: attain a comprehensive understanding of computer networks, encompassing various types and characteristics, and their integral role in contemporary society; identify and evaluate the key components of telecommunications systems, recognizing their significance in facilitating efficient data transmission and network management; analyse different network architectures, including hierarchical and peer-to-peer models, and assess their suitability for different organizational needs and objectives; distinguish between various network types, such as LANs, WANs, WLANs, MANs, SANs, PANs, EPNs, and VPNs, understanding their respective functionalities and applications; understand the functions and significance of Internet Service Providers (ISPs) and the essential aspects of the Internet, including IP addresses, URLs, DNS, and the historical development from ARPANET; and explore potential future trends and advancements in networking technologies, recognizing their implications for future network infrastructures and digital connectivity.

Upon the successful completion of this course, students will be able to: apply foundational Python programming principles to real-world scenarios, demonstrating proficiency in manipulating data types and constructs for precise data manipulation; configure Python environments effectively, demonstrating proficiency in seamlessly handling input/output operations; demonstrating robust comprehension of computing with numbers, exhibiting proficiency in executing arithmetic operations and designing algorithms; employ essential data handling skills, including string manipulation, list management, dictionary usage, and file handling, to address diverse data manipulation tasks; explore advanced Python topics, such as object-oriented programming, graphical visualization, functions, and standard modules, applying them to solve complex programming challenges; implement decision structures and loop structures proficiently, ensuring effective programming logic and control flow in python code; and master algorithm design and data analysis techniques, including fundamental search algorithms, recursion, sorting techniques, and practical applications like the towers of Hanoi problem, to analyze and solve real-world problems effectively.

Upon the successful completion of this course, students will be able to: master variables, control structures, and functions, and define the critical role of algorithms in computational problem-solving; acquire skills in pseudocode for mapping out algorithmic processes and delving into essential elements of C++ programming, such as data types, loops, and arrays; apply object-oriented programming principles to create modular and reusable code structures through classes, inheritance, and polymorphism; and critically assess memory management and pointer manipulation for real-world software development.

Upon the successful completion of this course, students will be able to: define and discuss fundamental concepts and core principles underlying network security, encryption techniques, and authentication protocols, enabling effective discernment and addressing diverse security threats; analyse different types of network security measures, including firewalls, intrusion detection/prevention systems, and encryption methods, recognizing their significance in fortifying network infrastructure and safeguarding sensitive data; explore emerging technologies and trends in network security, such as wireless network security protocols, web application security, and continuous improvement practices, fostering adaptability and readiness to address evolving security challenges; cultivate critical thinking and problem-solving abilities in identifying and mitigating security vulnerabilities; and conduct security audits, and implement incident response procedures to uphold network integrity and resilience against cyber threats.