
Explore automata theory and its three models—finite automata, pushdown automata, and Turing machines—along with building blocks like alphabet, language, and strings, and learn how they model problems.
Finite automata are a mathematical model with a finite set of states and transitions that read input and move from a start state to final states.
Explore finite state machines with input-output mapping, using a transition function and an output function, output alphabets, and initial states, with cryptography and pattern-detection applications.
Explore non deterministic finite automata by contrasting them with deterministic automata, highlighting parallel transitions, multiple next states for a single input, and dead configurations or drop states.
Learn how to convert an NFA to a DFA by building transition tables and mapping NFA states to DFA states for inputs 0 and 1.
Explore converting finite automata to regular expressions via the state elimination method, collapsing intermediate states between a single initial and final state, using concatenation and union.
Dive into the fascinating world of computational complexity — where we explore what makes some problems easy and others nearly impossible for computers to solve. This course clearly explains the difference between P, NP, NP-Complete, and NP-Hard problems with examples
This course gives a basic knowledge of automata theory, designing a Finite Automata, and Regular Expressions. In the introduction, it covers the importance of the theory of computation and its variants such as Automata theory, Complexity theory, and Computability theory. The basics of the automaton are clearly explained with a transition diagram and transition table. The variants of automata such as Finite automata, Pushdown automata, and Turing machines and their differences are explained. The tuples of finite automata and the transition functions are important for the construction of finite automata. Two variants of finite automata are Deterministic Finite Automata and Non-Deterministic Finite Automata and their differences in the tuples are discussed. The problems based on DFA and NFA are solved. The difference in the transition function of Deterministic and Non-Deterministic Finite Automata is explained with the transition diagram. The NFA is the informal one that can be used by the user to represent the user’s idea. Whereas the DFA which is the normal one used to give as an input to the machine. The conversion of NFA to DFA (user perspective to machine automation) is discussed. The conversion of epsilon NFA to NFA is also explained. The basics of Regular Expressions and the conversion of finite automata to regular expression is also stated clearly.