The 3 basic ideas in Computer Science are the mathematical narrative of computational
networks, the constraints of mechanical computation, and the formal description of languages.The aim of Theory of Computation is to develop formal mathematical models of computation that mirror real-world computers. Formal Languages and Automata (FLA) is one among the core parts of the undergraduate Computer Science program however is commonly viewed as a tough subject because it demands a robust mathematical foundation.
For university students, automata theory is sometimes introduced in an abstract manner using mathematical notions. For kids in K-12, such associate approach simply discourages them. Thus, the matter is a how to introduce automata to them in a simple manner. To handle this downside, the preceding studies demonstrated appropriate approaches, most using simulations and/or games in which automata are incorporated in an exceedingly natural approach. These findings indicate that both Automata theory and CSE should be introduced early to the K-12 children.There are two main reasons for the difficulties found in courses regarding AutomataTheory. The primary reason is that such courses need a lot of previous knowledge in arithmetic than other courses in Computer Science. The second reason is that students don’t have a feedback while operating with non-interactive issues.
The difficulties may be decreased by the employment of a toolkit, like Language Emulator, that permits students to find out Automata Theory interactively. It is important for college students to learn about Automata theory because it forms the basis for several theoretical Computer Science topics like algorithms, programming, formal languages, process complexity, model theory, logic circuits, and coding theory. Formal languages are different from natural languages in the context of their predefined rule set for validation or annulment of strings belonging to the alphabet set. Natural languages require meaning and grammer set related to its strings, whereas formal languages need simply a rule set to justify its strings.
The purpose of this paper is to provide a straightforward guide for instructors to elucidate Automata theory concepts so as to objectify learners grip on basic process constructs, formulations of techniques and logical arguments, to encourage them to understand and apply this information in varied applied science branches. This paper is aimed at facilitating students tackle the obstacles concerned in learning the basics of Theory of Computation particularly Automata Theory concepts. There is a course in a German secondary education school where the flipped classroom technique was accustomed to teach basics of automata theory. The results of the ultimate course test were good and a brief form filled by the scholars suggests interest of the students in this method of teaching.
In this paper, we tend to describe a group of tools we’ve developed for experimenting with several ideas in Automata Theory. JFLAP is a popular open-source software tool used in Formal Languages and Automata courses. JFLAP is for experimenting with automata, pushdown automata and Turing machines; LLparse LRparse are for experimenting with top-down and bottom-up parsing; P?at?e is each a brute force program for restricted and unrestricted synchronic grammers and a grammer transformer from a context-free grammar to CNF; and PumpLemma is a tool for experimenting with the pumping lemma. LLparse and LRparse are written in C++ and X Windows while the remaining written in Java.Another such tool is Language emulator, which is used to assist undergraduate students to know the ideas of Automata Theory. The software system permits the manipulation of regular expressions, regular grammars, deterministic finite automata, nondeterministic finite automata with and without lambda transitions, and Moore and Mealy machines.