PhD courses
Speciality Name:
Robotic Systems
Faculty:
Mechanics and Mathematics
Qualification:
- Scientific and pedagogical direction - Doctor of Philosophy (PhD)
- Model of graduating student
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Mandatory
disciplines
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Elective
disciplines
- Professional
1.Scientifically justified to analyze and evaluate modern scientific achievements in the field of robotics to generate new ideas in solving research and practical problems, formulating and solving atypical problems of a design character in the design, manufacture and operation of new robotic systems and scientific guidance on research on the scientific problems of fundamental robotics and applied character.
2.Apply modern research, modeling and design methods to create new classes of mechatronic and robotic systems, including intelligent robotic systems and mobile robots.
3.To develop methods for research and modeling of mechatronic and robotic systems for various purposes, including those with elements of artificial intelligence and technical vision; to develop and research promising algorithms and methods for controlling mechatronic and robotic systems.
4.Conduct a research examination of completed research and experimental development to summarize the results of research, plan and conduct experimental research, followed by an adequate assessment of the results; apply the results of research activities in the creation and research of promising robotic and mechatronic systems, new models of manipulation, mobile, humanoid and parallel robots; introduction of research and development into production.
5.Professionally present the results of their research and present them in the form of scientific publications, information and analytical materials and presentations for the objective assessment of the professional level of scientific research results, including using international databases of publication activity; to present the results in the professional community and publish research results in academic journals.
6.Use modern methods and technologies of scientific communication in the state and foreign languages for professional interaction with colleagues and foreign partners in order to improve the practice of education and science, participate in the work of domestic and international research teams and in scientific discussions in the academic and professional environment by the decision of scientific and scientific educational tasks, conducting joint research in the field of robotics and attracting additional funding.
7.Participate in the implementation of the educational process of the educational organization using innovative educational technologies and teaching methods to form the professional competencies of students and researchers, determine the course content and form educational and methodological support for the educational process as part of the Robotic systems educational program.
8.Follow ethical standards in professional work, own a culture of scientific research, including using the latest information and communication technologies, plan and solve problems of their own professional and personal development, introduce students to the system of social values and tolerant interaction in society to form professionally significant qualities of students.
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Academic writing
- Number of credits: 2
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of studying the discipline "Academic writing" is to develop PhD doctoral students' respective professional competencies aimed at developing the willingness and ability of scientific and pedagogical personnel to implement their own research projects, programs in the field of robotics and mechatronics, and presenting their results in writing in accordance with the legislative norms of the Republic of Kazakhstan and international academic community, the ability to show publication activity in national and foreign language.
As a result of studying the discipline, doctoral students will be able to:
1. Formulate productive research questions; to formulate the goal, objectives, subject and object of scientific work in the field of robotics and mechatronics; prepare a description of the research in the field of robotics and mechatronics in Kazakh, Russian or English language in order to publish the results in a highly rated journal.
2. To navigate in the literature on the topic of research, use bibliographic resources and search engines for scientific work, including electronic databases;
3. Reasonably state the provisions of their study, based on facts and examples.
4. Prepare and submit documents for obtaining a patent and copyright .
5. Substantially conduct a discussion on the topic of research in order to disclose a research question and develop methodological tools for the implementation of a scientific project. Implement a scientific project in accordance with the requirements of competitive documentation or as part of initial research.
6. Write a review of a scientific project / article / dissertation.The discipline "Academic Writing" includes the main aspects of compiling academic texts in Kazakh, Russian and English are considered in order to publish the results of scientific research in the form of dissertations, scientific articles or project applications. We study the features of writing project applications for tender documentation for funding of scientific research; patent applications and applications for obtaining copyright. This course includes the study of the main aspects for the formulation of goals, objectives, relevance of research, etc in the field of robotics and mechatronics. Students will learn how to carry out comprehensive research, including interdisciplinary, on the basis of a holistic systemic scientific worldview, to learn how to describe the research work done in the field of robotics and mechatronics in Kazakh, Russian and English.
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Scientific Research methods
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of studying the discipline "Scientific Research methods" is the formation of doctoral PhD students ideas about the methods of scientific research in robotics and mechatronics, the formation of research competence and their willingness to apply the knowledge and skills in organizing their own scientific research and the organization of scientific research in their professional activities.
As a result of studying the discipline, doctoral students will be able to:
1. To carry out independently research activities on current problems in the field of robotics and mechatronics using modern research methods and information and communication technologies.
2. To analyze the meaning of structure-forming concepts: relevance of the topic, purpose and objectives of the study; to formulate the problem, object, subject, research hypothesis, methodological foundations.
3. Know the methods, differences and features of empirical and theoretical research;
4. Interpret the results of scientific research, evaluate the boundaries of their applicability, prospects for further research; process various types of data from the field of robotics and mechatronics, obtain and use data in experiments or observations;
5. Develop skills of generalization and reasoned presentation of the results of experimental data.
6. Use application software packages to solve problems of data analysis and interpretation and, based on data analysis, develop practical recommendations and draw conclusions.As part of the study of the discipline "Methods of scientific research" are considered:
- Methodology and methodology of scientific research in robotics and mechatronics;
- The main methods of finding information for scientific research;
- Planning of research work;
- Mathematical foundations of experimental design;
- Procedures for the preparation, execution and defense of doctoral dissertations.
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Technical vision
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course: to study the fundamentals of technical vision and learn how to use machine learning to solve problems of technical vision.
As a result of studying the discipline, the doctoral student must:
know:
- features of image formation, methods for selecting, searching and recognizing objects in images,
- key software tools for the development of analysis and image systems;
be able to:
- develop methods and algorithms for technical vision,
- develop software for searching, analyzing and describing objects in an image or video sequence;
own:
- practical skills in designing, developing, implementing and maintaining image analysis applications aimed at solving technical vision problems in mechatronics and robotics.
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PhD thesis writing and defence
- Number of credits: 12
- Type of control: Докторская диссертация
- Description: The main purpose of "PhD thesis writing and defence": of a doctoral dissertation is the formation of the doctoral students' ability to disclose the content of research work for the defense of the thesis.
During the study of course, doctoral student's should be competent in:
1. to substantiate the content of new scientifically grounded theoretical and experimental results that allow to solve a theoretical or applied problem or are a major achievement in the development of specific scientific directions;
2. explain the assessment of the completeness of the solutions to the tasks assigned, according to the specifics of the professional sphere of activity;
3. they can analyze alternative solutions for solving research and practical problems and assess the prospects for implementing these options;
4. apply the skills of writing scientific texts and presenting them in the form of scientific publications and presentations.
5. to plan and structure the scientific search, clearly highlight the research problem, develop a plan / program and methods for its study, formalize, in accordance with the requirements of the State Educational Establishment, the scientific and qualification work in the form of a thesis for a scientific degree Doctor of Doctor of Philosophy (PhD) on specialty «8D07502 – Standardization and certification (by industry)».
During the study of the discipline doctoral student will learn following aspects: Registration of documents for presentation of the thesis for defense. Information card of the dissertation and registration-registration card (in the format Visio 2003). Extract from the minutes of the meeting of the institution, in which the preliminary defense of the thesis took place. Cover letter to the Higher Attestation Commission. Expert conclusion on the possibility of publishing the author's abstract. Expert opinion on the possibility of publishing a dissertation. Minutes of the meeting of the counting commission. Bulletin for voting. A shorthand record of the meeting of the dissertational council. List of scientific papers. Response of the official opponent. A review of the leading organization. The recall of the scientific adviser.
Data for 2021-2024 years
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Intelligent Robotic Systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to build system knowledge and professional competence about intelligent systems of robots, about the methods of research of modern intelligent systems of robots.
The task of planning the actions of intelligent systems of robots and mobile robots is solved on the basis of intelligent human-machine interface methods and frame-like structures, planning actions of intelligent robot systems based on homogeneous neural-like structures and on the basis of self-learning principles. The course provides knowledge of modern methods of research and design of intelligent systems of robots. The methods of developing the latest intelligent systems of robots: ground-based extreme robotics, space robotics and biorobotics. The methods of artificial intelligence, expert systems and neural network structures, the technology of associative memory, fuzzy logic and situational control, methods for the formation of environmental models based on vision systems. Expert systems technologies for robot motion control, control based on associative memory, fuzzy control and based on neural network structures are considered. The task of planning the actions of intelligent systems of robots and mobile robots is solved on the basis of intelligent human-machine interface methods and frame-like structures, planning actions of intelligent robot systems based on homogeneous neural-like structures and on the basis of self-learning principles.
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Artificial Intelligence in Mechatronics and Robotics
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Objective: to teach doctoral students to study the dynamics of robots as complex mechatronic systems with elements of electronics and mechanical systems, to apply methods of studying the mechanisms of machines and electronic devices in the study (integration) of complex robotic systems. To learn to use this knowledge to study the dynamics of mobile robots.This discipline consists of the following sections:
-Systematic approach in mechatronics, study of concepts of system, model, reliability, controllability, observability. Methods of analysis and synthesis of linear dynamical systems.
-Subsystems of mechatronic systems: models of mechanical subsystems; actuators; sensors; automatic machines; binary and digital control systems.
-Dynamics of mobile robots: Dynamics of wheeled robot vehicle (two-wheeled, three-wheeled, four-wheeled); dynamics of a walking mobile robot; basic equations of the mathematical model of robot dynamics; approximate models for solving the dynamics of mobile robots.
-Fundamentals of dynamics and control of unmanned aerial vehicles: basic equations of dynamics of unmanned aerial vehicles; problems of control of aircraft with account of various factors.
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Mechatronics and Dynamics of Mobile Robots
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Objective: to teach doctoral students to study the dynamics of robots as complex mechatronic systems with elements of electronics and mechanical systems, to apply methods of studying the mechanisms of machines and electronic devices in the study (integration) of complex robotic systems. To learn to use this knowledge to study the dynamics of mobile robots.This discipline consists of the following sections:
-Systematic approach in mechatronics, study of concepts of system, model, reliability, controllability, observability. Methods of analysis and synthesis of linear dynamical systems.
-Subsystems of mechatronic systems: models of mechanical subsystems; actuators; sensors; automatic machines; binary and digital control systems.
-Dynamics of mobile robots: Dynamics of wheeled robot vehicle (two-wheeled, three-wheeled, four-wheeled); dynamics of a walking mobile robot; basic equations of the mathematical model of robot dynamics; approximate models for solving the dynamics of mobile robots.
-Fundamentals of dynamics and control of unmanned aerial vehicles: basic equations of dynamics of unmanned aerial vehicles; problems of control of aircraft with account of various factors.
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Humanoid Robot Design
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to study methods of designing humanoid robots.
As a result of studying the discipline, the doctoral student must:
know:
- modern structures of humanoid robots;
- modern approaches to the design of humanoid robots;
- prospects for the development of the main components of humanoid robots;
- modern computer-based design systems for designing humanoid robot modules.
be able to:
- apply the studied methods for designing humanoid robots;
- apply modern computer-based design systems to design humanoid robots.
own:
- skills of using modern methods of designing humanoid robots.
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Parallel Robot Design
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: formation of knowledge and professional competence of doctoral students in the field of research and design of parallel robots;
As a result of studying the discipline, the doctoral student must:
know:
- development of structural schemes of parallel robots.
- determining the geometric parameters of parallel robots.
- solving direct and inverse kinematics problems of parallel robots.
be able to:
- apply the studied methods for designing parallel robots;
- apply modern computer-aided design systems to design parallel robots.
own:
- skills in using modern methods of designing parallel robots.
- modern computer design systems for the design of parallel robots.
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Robotics and CAD
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Objective: to teach doctoral students to correctly use CAD for engineering and technological design to ensure the life cycle of robots, and to master CAD, CAE and CAM consequently, on the example of individual mobile robots and swarm robotics. Learn to perform a comparative analysis of CAD results with the results of analytical calculations based on simple mathematical models of robots.This discipline consists of the following sections:
- The main elements of robots: manipulators and grippers; engines; drives. Mathematical modeling of the engine and manipulator. Optimization of the manipulator design and control. Sensory subsystem. Control subsystem. Management of hive of robots.
- CAD and its connection with robotics. Characteristics of the current state of CAD. Mini-robot simulation based on the Matlab and / or Maple analytical computing platform. Mastering the process of engineering and technological design of CAD/CAE/CAM mini-robot on the Autodesk Inventor complex.
- Estimation of scientific and engineering solutions in robotics using CAD: geometrical modeling, parametric modeling, direct and inverse kinematic problem, dynamics analysis problem, parametric optimization problem, finite element analysis.
Data for 2021-2024 years
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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.
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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
