The purpose of the discipline is to form students'' practical skills in developing algorithms, programming in a high-level language, studying the basics of algorithmization of tasks and programming technologies in a basic procedural-oriented algorithmic language, mastering the skills of solving engineering problems using application programs, as well as the skills of algorithmization and writing programs for solving problems of the subject area.

This discipline should form students' skills in the choice and method of storing data when solving problems of processing large amounts of information, which can make this solution effective and competitive in the world labor market. Algorithms and data structures are implemented as a cycle of lectures and laboratory classes that acquaint students with the basics of using data structures of varying complexity (arrays, lists, hash tables, trees, graphs, stacks, queues) and algorithms for working with them. The Python programming language is used to solve various practical problems.

The purpose of the discipline is to form students' knowledge in the field of modern programming technologies, acquire practical skills in algorithm development, programming in a high-level language, study the basics of algorithmization of tasks and programming technologies in a basic procedural-oriented algorithmic language, classification of programming languages, the basics of structural, visual and object-oriented programming, methods of development, debugging and testing programs. As a result of the training, the student, applying knowledge on the theoretical foundations of algorithmization and program design, the basic principles and structure of programming (C++), will be able to use methods and software tools to solve technical problems, characterize the initial and output data of the solved problems, analyze the solved problems and clearly formulate their condition.

Математиканың өзінде де, оны жүзеге асыруда да пайда болатын дискретті құрылымдардың қасиеттерін зерттейтін математика саласы. Бұл жағдайда дискретті құрылымдар қажетті сипаттамалары мәндердің шекті санын қабылдайтын объектілер деп аталады. Мұндай құрылымдарға, мысалы, ақырлы топтар, ақырлы графиктер, ақпаратты түрлендіргіштердің кейбір математикалық модельдері, ақырлы автоматтар, Тьюринг машиналары жатады.

The purpose of the discipline is the formation of the student's competencies in the field of programming at the system level and the principles of implementing programs in high-level languages, familiarization with the principles of translation of source programs prepared in C++, and the application of the knowledge gained for the development of effective system software. As a result of the training, the student, using the knowledge gained on the basics of computer construction and architecture, will be able to configure specific configurations of operating systems, develop programs in the UNIX operating system using system calls, debug and test the program at the module level.

The purpose of the discipline is to study theoretical methods and master practical skills in the use of numerical methods in solving various applied problems, preparing students for the development of computer-oriented computational algorithms for solving problems that arise in the mathematical modeling of the real world. After completing the course, students will be able to develop programs that implement numerical methods and conduct computational experiments.

The purpose of the discipline is to study the representation of data using the Python programming language, to study the concept of data collection, processing, visualization and analysis in the Jupyter interactive environment. Visual programming languages is aimed at the study of object-oriented programming concepts and principles, the development of abstract thinking and the development of professional skills of a future specialist, the development of a project structure using tools for data analysis, data collection and data structuring. Upon completion of the training, students should know the following: Python libraries for data analysis. Terms and terminology for data analysis. Methods of data analysis. The basis of mathematical representations of data analysis. Drawing up the correct method of data analysis.

The purpose of the discipline is to form students' basic understanding of the development of engineering and technology, scientific achievements in accordance with the chosen educational program. The discipline gives students a systematic understanding of the current state and trends in the development of the food, processing, industry, agricultural and industrial complex, including the possibilities of new information and communication technologies. The study of the basic concept in the field of standardization and certification, the laws of the Republic of Kazakhstan on technical regulation, standardization, management systems, new methods and practices of the QMS. As a result of studying the discipline, the student will receive theoretical and practical skills in the organization of the task, as well as the formulation and solution of highly motivated non-standard professional tasks, problems and compliance with the ethics of professional activity.

The purpose of the discipline is to form students' theoretical knowledge on the basics of the theory of mechanisms and machines, the resistance of materials, practical skills in the calculation and design of general-purpose parts and assemblies widely used in technological machines and power equipment. The discipline forms students' skills in production and technological, organizational and managerial, and design activities. The discipline studies the statics (geometric) of a solid body, the kinematics of a point, a system and an absolutely solid body, the dynamics of a point, a system and a solid body, the basics of analytical mechanics, basic concepts and laws of mechanics. As a result of the training, the student may be able to apply the acquired knowledge to solving the simplest problems of mechanics using modern educational and information and communication technologies.

The goal and objectives of the discipline are to familiarize themselves with the basic algorithms of discrete mathematics and mastering the main results of this discipline for creating software products and modeling real processes, the development of logical thinking and mathematical culture in students, necessary for studying mathematics (and indeed for carrying out research work) , development of mathematical (qualitative, analytical and geometric) intuition. Learning outcomes: after completing the course, the student should know: basic fundamental concepts of discrete mathematics: algorithms of number theory and combinatorial schemes, basic concepts and results of graph theory, basic concepts of logic algebra, as well as ways of representing algorithms of discrete mathematics; be able to: apply the knowledge gained while studying the course "Discrete Mathematics" for solving applied problems; find solutions for comparing the first and second order, solve comparison systems, skillfully apply basic combinatorial principles, build the Perfect Disjunctive Normal Form and the Perfect Conjunctive Normal Form, construct Zhegalkin polynomials for specific Boolean functions, be competent in matters of professional activity related to algorithms of discrete mathematics.