Magistracy
Speciality Name:
Digital Kazakh Language
Qualification:
- Scientific and pedagogical direction - Master of Philological Sciences
- Model of graduating student
-
Mandatory
disciplines
-
Elective
disciplines
- Professional
RL1 To apply fundamental theoretical knowledge of practical experience in the history of science, philosophy, psychology, and pedagogy in the professional environment.
RL2 To use a foreign language in research and professional activities.
RL3 To conduct an automatic analysis of graphematical, phonetic, morphological, syntactic, semantic types of computer analysis using methods and techniques of textual analysis.
RL4 To study the principles and aspects of text research, the main issues of text theory, research directions (psycholinguistic, pragmatic, derivational, cognitive, etc.), genre and speech structure of the text.
RL5 To carry out a linguistic expertise of the main problems that arise in the automatic analysis of morphological structures of parts of speech and the production of their markup.
RL6 To conduct analytical and statistical research on innovative digital language resources (corpus of texts, dictionaries, lexical and terminological databases).
RL7 To analyze the quality of language data, corpus texts, and systems used for automatic natural language processing.
RL8 To evaluate the types, features, and directions in the development of computer lexicography and digital dictionaries.
RL9 To compile digital dictionaries, glossaries, thesauruses, encyclopedias, and reference books for various purposes.
RL10 To use machine translation systems and word processing programs.
RL11 To be able to use the necessary software to develop online courses to teach the Kazakh language.
RL12 To study and introduce the theoretical and methodological basics of teaching the Kazakh language with the use of digital technology
-
Mathematical foundations of computational linguistics
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to get acquainted with the main branches of mathematics necessary for mastering the applied field, to master mathematical analysis, Linear Algebra, Probability Theory and statistics, graphs, to teach the use of basic concepts and methods of these branches of mathematics, to form mathematical thinking and argumentation skills. The course deals with function analysis, primary function and integral, Vector Space, linear operators and graph theory.
-
Organization and Planning of Scientific Research (in English)
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: to form the ability to apply practical skills in the organization and planning of scientific research. The discipline studies: forms and methods of planning, organization and design of scientific articles and dissertations; forms of summarizing the results of scientific research in presentations, speeches, projects, articles.
-
Foreign Language (professional)
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is to acquire and improve competencies by international standards of foreign language education and to communicate in an intercultural, professional, and scientific environment. A master's student must integrate new information, understand the organization of languages, interact in society, and defend his point of view.
-
History and Philosophy of Science
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: Understanding of modern philosophy as a system of scientific knowledge, including worldview in rational-theoretical comprehension. The discipline includes aspects of the evolution and development of scientific thinking, historical moments, the contribution of scientists and scientific schools to the formation of science, and ethical and social aspects of scientific activity.
-
The basics of language-data processing
- Number of credits: 9
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to study programming languages for processing linguistic data, text processing using Python and R, basic operations, and natural language processing in programming systems. It covers algorithmic principles and modern information processing methods, software programming, planning, and organization.
-
Pedagogy of Higher Education
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: To provide pedagogical theories and practical strategies for effective teaching in higher education, fostering critical thinking, and academic success. The course explores instructional methods, curriculum design, assessment techniques, and classroom management strategies preparing educators to create inclusive and stimulating learning environments.
-
Psychology of management
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Formation of knowledge about the fundamental concepts of management psychology for the practical application of the most critical aspects of management in professional interaction. The following will be studied: basic principles of management psychology, personality in management interactions, management of personality behavior, modern ideas, psychology of managing group phenomena, motivation, and practical reflection.
-
Digital technologies for collection and analysis of philological information
- Number of credits: 6
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The aim of the subject is to prepare specialists capable of information search, extraction, analysis, information dissemination, and formatting textual data in Kazakh language databases. It involves studying digital technologies for text corpus processing and developing practical skills, as well as analyzing various linguistic approaches in information collection and processing.
Data for 2021-2024 years
-
Data analysis for linguists
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is a broad acquaintance with data analysis methods, training in the use of Bayesian statistical methods, mastering the methods of dimension reduction (PCA, LDA, CA, MCA), clustering (k-means, hierarchical clustering, mixed models), the use of regression analysis. During the course, undergraduates will learn the linguistic packages of the R language, master the methods of data analysis.
-
Information technologies in philology
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to develop a comprehensive understanding of the possibilities and utilization of information technologies in the professional work of philologists. It prepares students for successful research with justified and effective application of statistical methods, combining humanities and natural sciences. It also involves practical training in creating electronic resources.
-
Automatic retrieval of syntactic structures
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to conduct syntactic analysis to automatically determine word function, word order, word compatibility, and develop notations characterizing syntactic structure relationships. It also covers topics such as syntactic word formation, semantic and grammatical word combinations, automatic analysis, and collection of sentence types and models.
-
Automatic morphological analyzer and synthesis of word parts
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to develop skills in translating linguistic material into digital format and using computer-based methods for morphological analysis. It covers the history of corpus construction, characteristics of corpus linguistics, as well as theoretical and practical tasks for morphological notation.
-
Computer lexicography
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to develop skills in working with various dictionaries (electronic dictionaries, encyclopedias, glossaries, thesauri, etc.) and expand the vocabulary base for linguistic automation. It covers principles of dictionary compilation and explores the prospects of computer lexicography.
-
Computer-assisted language learning in Kazakh language classes
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to select optimal electronic tools for Kazakh language learning, explore digital language teaching methods, and analyze various educational resources. Its content includes creating teaching materials, computer-assisted language learning, distance education resources, and multimedia resources for language instruction.
-
Machine translation
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The subject aims to develop skills in working with automated machine translation systems and text search, extraction, and processing programs using linguistic and extralinguistic knowledge. The course analyzes types of translation and machine translation, including classification of translation memory systems, fully automated MT tasks and models, evaluation parameters.
-
Software for creating online courses
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The goal of the subject is to familiarize philologists with online course creation software, adapt Kazakh language information to digital technologies, and apply online course programs in practice. The subject covers digitizing language learning, delivering online courses in a new format, and optimizing methods and techniques.
Data for 2021-2024 years
-
Pedagogical
- Type of control: Защита практики
- Description: Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies.
-
Research
- Type of control: Защита практики
- Description: The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.
Data for 2021-2024 years
