Aims and Objectives
Faculty development in computer science and engineering focuses on enhancing pedagogical effectiveness, strengthening subject knowledge, and promoting the adoption of modern teaching methodologies. It aims to keep educators aligned with recent technological advancements, ensuring that curricula remain current and relevant. Additionally, it encourages research engagement, industry collaboration, and the integration of emerging technologies into teaching practices, thereby fostering a dynamic and responsive academic environment.
Faculty Development Program: Deep Learning and AI
2026–27
This faculty development session was delivered at the Department of Computer Science and Engineering, MBM University during the PM-USHA sponsored FDP on Data Science (23–30 March 2026). The lecture focused on Generative AI and Large Language Models, discussing their foundations, applications, and implications for teaching, research, and industry.
2025–26
This session was conducted at the Department of Computer Science and Engineering, MBM University under the PM-USHA sponsored FDP on “Image Processing and Computer Vision” (7–12 July 2025). The lecture presented a comprehensive overview of machine learning, tracing its evolution from basic neural networks to modern deep learning architectures.
Faculty Development Program: Generative AI
2023–24
This program explored Generative AI: Opportunities and Challenges, providing insights into emerging AI technologies and their applications in education and research. It also addressed practical challenges, ethical considerations, and strategies for integrating generative AI into academic environments.
Faculty Development Program: Python Programming
2017–18
This program introduced Python as a primary programming language and provided foundational training in programming concepts. It also emphasized effective teaching methodologies and tools for delivering programming courses at the undergraduate level.
Scientific Teaching Approaches and Computational Tools
2016–17
This program emphasized a scientific approach to teaching engineering courses. It provided hands-on exposure to computational tools such as Scilab and R, along with practical guidelines for question paper design and evaluation of both teaching effectiveness and student learning. The focus was on integrating theoretical understanding with practical implementation.
Faculty Development Programs on Specialized Topics
2015–16
This program covered diverse domains including basic sciences, management, and engineering. It emphasized innovative teaching methodologies and included specialized topics such as Information Retrieval and LaTeX for scientific and technical writing.
General Faculty Development Programs
2014–15
This program focused on enhancing teaching methodologies across multiple engineering disciplines, including Computer Science, Electronics, Electrical, and Civil & Mechanical Engineering. It aimed to equip faculty with effective, discipline-specific pedagogical strategies.
These faculty development initiatives demonstrate a sustained commitment to improving teaching quality, integrating emerging technologies, and fostering research-oriented education in engineering and computer science.