KU S8 CSE

Module I (12 hours)Introduction to Natural Language Processing- The Study of Language- Applications of Natural Language Understanding- Evaluating Language Understanding

Module I (14 hours)Fundamentals of Data Mining-What is data mining, Data mining strategies(Mining Frequent pattern, Association, classification & prediction, cluster

Module I (12 hours)Review of Linear Algebra. The postulates of quantum mechanics. Review of Theory of Finite Dimensional Hilbert Spaces

Module I (12Hrs)Information systems – functions of management – levels of management – framework for information systems – systems approach

Module I (13 hours)Introduction – digital image representation – fundamental steps in image processing – elements of digital image processing

Module I (12 hours)Balanced binary search trees – AVL Trees – Height of an AVL Tree, Insertion Procedure, Deletion Procedure.

Module I (15 hours)Fundamentals – task of a computer designer – trends in technology usage and cost – performance measurement

Module I (13 Hours)Artificial Intelligence: History and Applications, Production Systems, Structures and Strategies for state space searchData driven and goal

Module 1 (14Hrs)Divisibility – The division algorithms- gcd, lcm, primes- Fundamental theorem of arithmetic- Euler function, Congruence- Complete residue system-

Module I: Linear algebra (13 hours)Vectors – vector space and Euclidean space – vector operations – matrix operations – unit