The online guest lecture on βApplications of Turing Machineβ under the course U21CS502 β Theory of Computation enabled students to relate the abstract model of Turing Machine to realβworld computational problems. After the session, students were able to identify how Turing Machines can be used as language recognizers, deciders, and problemβsolving models; analyze the role of Universal Turing Machines and their connection to generalβpurpose computers; and comprehend the limitations of computation such as undecidable problems and the halting problem. The session strengthened the conceptual foundations required to study computability and complexity, thereby supporting the attainment of Course Outcomes related to automata theory, computability, and problemβanalysis skills.
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Preparing future-ready engineers with AI-integrated teaching and learning. KPRIET integrates Artificial Intelligence across teaching, learning, research and innovation to create a smarter, future-ready campus experience for students and faculty.