The AD Department Library houses a growing collection of 232 volumes spanning 168 distinct titles, sourced from 177 authors and 71 publishing houses. The collection is built around the department's core teaching and research areas, with the strongest holdings in Programming Languages (45 titles), Data Structures & Algorithms (33), and Artificial Intelligence & Machine Learning (25), alongside substantial coverage of Computer Graphics & Image Processing, Computer Networks & Security, Operating Systems & Architecture, Software Engineering, Data Science & Big Data, Databases, Cloud Computing, and Robotics. Key reference texts include Artificial Intelligence: A New Synthesis by N. J. Nilsson, Fuzzy Logic with Engineering Applications by Timothy J. Ross, Digital Image Processing by Gonzalez & Woods, Computer Networks by Andrew S. Tanenbaum, and Introduction to Robotics by Saeed B. Niku, drawn from leading academic publishers such as Pearson, Wiley, Tata McGraw-Hill, PHI Learning, Cambridge University Press, and Springer. Core textbooks are stocked in multiple copies to meet classroom demand, and the library continues to expand as the curriculum evolves to keep pace with developments in AI and data science.