CSIT Tutorials by KanyaKumari

Welcome to CSIT Tutorials by KanyaKumari, your go-to destination for comprehensive and engaging Computer Science and Information Technology learning on YouTube! As your dedicated guide, leverage years of teaching expertise to demystify intricate CSIT concepts. Our tutorials cover a spectrum of topics, including programming languages like C, Python, Java, and C++, database management, algorithms, automata theory, compiler design, and operating systems. Beyond theory, we focus on practical applications, ensuring you not only grasp the material but also gain valuable skills for the dynamic tech landscape. Join our vibrant community of learners, where collaboration thrives, and together, let's embark on a journey of knowledge and career development in the exciting field of Computer Science and Information Technology.
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Mealy and Moore machines, finite automata with output, mealy vs moore machines theory of computation

Mealy and Moore machines, finite automata with output, mealy vs moore machines theory of computation
Minimization of finite automata, dfa, nfa, automata theory, formal languages and automata theory

Minimization of finite automata, dfa, nfa, automata theory, formal languages and automata theory
Automata Theory, DFA, NFA, NFA Vs DFA, Comparision of NFA and DFA, Formal languages

Automata Theory, DFA, NFA, NFA Vs DFA, Comparision of NFA and DFA, Formal languages
Finite automata, NFA epsilon moves, Epsilon closures, NFA Epsilon moves to NFA without Epsilon moves

Finite automata, NFA epsilon moves, Epsilon closures, NFA Epsilon moves to NFA without Epsilon moves
NFA to DFA Conversion, NFA to DFA conversion with an example, Automata theory,theory of computation

NFA to DFA Conversion, NFA to DFA conversion with an example, Automata theory,theory of computation
Applications of machine learning, supervised learning algorithms, unsupervised learning algorithms

Applications of machine learning, supervised learning algorithms, unsupervised learning algorithms
Machine Learning, Types of machine learning algorithms, supervised learning, unsupervised learning

Machine Learning, Types of machine learning algorithms, supervised learning, unsupervised learning
Backtracking, 8-queens problem, Applications of backtracking, 4-Queens problem

Backtracking, 8-queens problem, Applications of backtracking, 4-Queens problem
Machine learning, Definition of machine learning, traditional Vs ML, ML tutorial, ML full course

Machine learning, Definition of machine learning, traditional Vs ML, ML tutorial, ML full course
Optimal Binary Search Tree in DAA, Optimal binary search tree with an example, obst in daa

Optimal Binary Search Tree in DAA, Optimal binary search tree with an example, obst in daa
Optimal binary search tree, obst in daa,optimal binary search tree in daa, binary search tree

Optimal binary search tree, obst in daa,optimal binary search tree in daa, binary search tree
NP Hard Problems, NP Complete Problems, Design and Analysis of Algorithms, automata theory, toc

NP Hard Problems, NP Complete Problems, Design and Analysis of Algorithms, automata theory, toc
Non deterministic Algorithms, P and NP Problems in DAA, Design and Analysis of Algorithms, automata

Non deterministic Algorithms, P and NP Problems in DAA, Design and Analysis of Algorithms, automata
P and NP Problem, Design and Analysis of Algorithms, P and NP problem in DAA, NP problem in toc

P and NP Problem, Design and Analysis of Algorithms, P and NP problem in DAA, NP problem in toc
Dynamic Programming, Design and Analysis of Algorithms, Algorithm design technique

Dynamic Programming, Design and Analysis of Algorithms, Algorithm design technique
Greedy knapsack problem, Greedy method, Knapsack problem, Knapsack problem using greedy method

Greedy knapsack problem, Greedy method, Knapsack problem, Knapsack problem using greedy method
Greedy method control abstraction, greedy method in daa, design and analysis of algorithms

Greedy method control abstraction, greedy method in daa, design and analysis of algorithms
Divide and Conquer, finding minimum and maximum in daa, finding minimum and maximum using DAndC

Divide and Conquer, finding minimum and maximum in daa, finding minimum and maximum using DAndC
Divide and conquer general method, Divide and Conquer, control abstraction, design and analysis

Divide and conquer general method, Divide and Conquer, control abstraction, design and analysis
Asymptotic Notations, Performance Analysis, Big Oh Notation, Omega,Design and Analysis of Algorithms

Asymptotic Notations, Performance Analysis, Big Oh Notation, Omega,Design and Analysis of Algorithms
Time complexity, Step count method, Performance Analysis, Design and Analysis of Algorithms

Time complexity, Step count method, Performance Analysis, Design and Analysis of Algorithms
Space Complexity, Analysis of algorithms, Performance Analysis, Algorithm Analysis

Space Complexity, Analysis of algorithms, Performance Analysis, Algorithm Analysis
Algorithm definition, properties of algorithm, characteristic of an algorithm, analysis of algorithm

Algorithm definition, properties of algorithm, characteristic of an algorithm, analysis of algorithm
Heap sort program, Max Heap, Heap sort program, Binary Heap, Heap sort in data structures, Heap sort

Heap sort program, Max Heap, Heap sort program, Binary Heap, Heap sort in data structures, Heap sort
AVL Tree Program, Implementation of AVL tree, AVL tree in data structure, data structures, AVL trees

AVL Tree Program, Implementation of AVL tree, AVL tree in data structure, data structures, AVL trees
Heap sort with an example, Max Heap, Binary Heap, Binary Heap, Heap sort in data structures

Heap sort with an example, Max Heap, Binary Heap, Binary Heap, Heap sort in data structures
Binary Heap, Operations on Binary Heap, DeleteMax Operation, Priority Queue in data structures

Binary Heap, Operations on Binary Heap, DeleteMax Operation, Priority Queue in data structures
Binary Heap Insertion, Binary Heap, Data Structures, Insertion in a binary heap, min heap, max heap

Binary Heap Insertion, Binary Heap, Data Structures, Insertion in a binary heap, min heap, max heap
Binary heap, Properties of binary heap, binary heap in data structures, priority queues, trees

Binary heap, Properties of binary heap, binary heap in data structures, priority queues, trees
Linear Probing Program, Collision resolution techniques, hashing in data structures, open addressing

Linear Probing Program, Collision resolution techniques, hashing in data structures, open addressing