postgraduate diploma Language Processors

With this professional program you will learn the latest trends and developments in Language Processors from leading industry experts. In this program you will learn in depth the essential theoretical mathematical concepts behind Computer Science, such as propositional logic, set theory and numerable and non-numerable sets.

University certificate

duration

24 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

financing up to

6 months

Price

Tsh6,721,050

The world's largest faculty of information technology”

Description

This postgraduate diploma will allow you to update your knowledge about Language Processors in a practical way, 100% online, without renouncing to the maximum academic rigor”

This program is aimed at those interested in achieving a higher level of knowledge in Language Processors. The main objective of this postgraduate diploma is for students to specialize their knowledge in simulated work environments and conditions in a rigorous and realistic manner so that they can later apply it in the real world.

This postgraduate diploma will prepare students for the professional practice of Computer Engineering, thanks to a transversal and versatile academic experience adapted to new technologies and innovations in this field. You will obtain extensive knowledge in Language Processors, from professionals in the sector.

The students will be able to take the opportunity and study this program in a 100% online format, without neglecting their obligations. Update your knowledge and obtain a postgraduate diploma to continue growing both personally and professionally.

This program will allow you to enhance your skills and update your knowledge in Language Processors”

This postgraduate diploma in Language Processors contains the most complete and up-to-date program on the market. The most important features include:

Development of 100 simulated scenarios presented by experts in Language Processors
The graphical, schematic and eminently practical content of the software provides scientific and practical information on the Language Processors
News on the latest developments in Language Processors
Practical exercises where self-assessment can be used to improve learning
Interactive learning system based on the case method and its application to real practice
All of this will be complemented by theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
Content that is accessible from any fixed or portable device with an internet connection

Get qualified in Language Processors with this intensive program, from the comfort of your own home”

It includes in its teaching staff a team of professionals belonging to the field of Computer Engineering, who bring to this training the experience of their work, in addition to recognized specialists belonging to reference societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive program designed to train in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise throughout the program. For this purpose, the professionals will be assisted by an innovative interactive video system created by recognized experts in Information System with extensive teaching experience.

Take advantage of the latest educational technology to get up to date in Language Processors without leaving home"

Learn about the latest techniques in Language Processors from experts in the field"

Objectives

The objective of this program is to provide IT professionals with the knowledge and skills necessary to carry out their activity using the most advanced protocols and techniques of the moment. Through a work approach that is totally adaptable to the students, this postgraduate diploma will progressively lead them to acquire the competencies that will propel them to a higher professional level.

Achieve professional success as an IT professional with this intensive program, developed by professionals with extensive experience in the sector”

General Objectives

To prepare scientifically and technologically, as well as to develop the professional practice of software engineering, with a transversal and versatile approach adapted to the new technologies and innovations in this field
To obtain wide knowledge in the field of computer engineering, structure of computers and Software Engineering including the mathematical, statistical and physical basis which is essential in Engineering

Specific Objectives

Module 1. Theoretical Computer Science

To understand the essential theoretical mathematical concepts behind Computer Science, such as propositional logic, set theory and numerable and non-numerable sets
To understand the concepts of formal languages and grammars, as well as Turing machines in their different variants
To learn about the different types of undecidable problems and intractable problems, including the different variants of them and their approaches
To understand the operation of different kinds of randomization-based languages and other kinds of classes and grammars
To learn about other advanced computing systems such as membrane computing, DNA computing and quantum computing

Module 2. Automata Theory and Formal Languages

To understand the theory of automata and formal languages, learning the concepts of alphabets, strings and languages, as well as how to perform formal demonstrations
To delve into the different types of finite automata, both deterministic and non-deterministic
To learn the basic and advanced concepts related to regular languages and regular expressions, as well as the application of the pumping lemma and the closure of regular languages
To understand context-independent grammars and the operation of stack automata
To delve into normal forms, the pumping lemma of context-independent grammars and properties of context-independent languages

Module 3. Language Processors

To introduce the concepts related to the compilation process and the different types of analysis: lexical, syntactic and semantic
To learn how a lexical analyzer works, its implementation and error recovery
To delve into the knowledge of syntactic analysis, both top-down and bottom-up, but with special emphasis on the different types of bottom-up syntactic parsers
To understand the functioning of semantic parsers, the syntax-driven tradition, the symbol table and the different types
To learn the various mechanisms for code generation, both in runtime environments and for intermediate code generation
To lay the groundwork for code optimization, including expression reordering and loop optimization

Enroll in the best Language Processor program on the university scene today”

Postgraduate Diploma in Language Processors.

A language processor is software that aims to process and analyze a natural human language, so that it can be understood and manipulated by a machine. Language processors are primarily developed to help computer systems understand and process natural human language.

Language processors are complex Postgraduate Diplomas that use a variety of techniques and algorithms to process natural language.

Stages in the development of a language processor.

Natural language analysis: In this stage, the natural language to be processed is studied, the grammatical structures of the language are analyzed, as well as vocabularies and special technical terms.

Speech recognition system design: The design of the speech recognition system can be one of the central elements of a language processor. It consists of creating a system that can distinguish and record human voice input according to the rules and patterns of natural language.

Implementation of processing tools: To build language processors, specific natural language processing tools are used, such as sentiment analysis techniques, speech processing, neural networks and machine learning algorithms.

Validation and testing: Once the language processors have been built, they undergo extensive testing to verify the quality and accuracy of the results. Diagnostic testing and validation techniques are used to find and fix problems in the processing.

Training and improvement: Training and continuous improvement is an essential element in the development of language processors. Language processors must be constantly updated and improved to adjust to changes in language and user requirements.

Language processors are an example of how technology can be used to process and optimize natural human language and, in this way, improve communication between users and computer systems. The development of language processors involves a variety of computational techniques and tools, as well as a deep understanding of the language to be processed.