PhD courses
Speciality Code:
8D07302
Speciality Name:
Geoinformatics
Faculty:
Geography and Environmental Sciences
Qualification:
- Scientific and pedagogical direction - Doctor of Philosophy (PhD)
- Model of graduating student
- Mandatory disciplines
- Elective disciplines
- Professional
interpret the modern system of knowledge and interdisciplinary methods of geoinformation science in the planning of scientific and applied research and educational process.
interpret the spatial data processing capabilities of the R language into an open-source GIS software.
– demonstrate the use of innovative methods and promising trends of modern GIS technologies in the planning of scientific and educational programs.
– draw a conclusion of holistic knowledge, reflecting the current level of automated systems for the collection and processing of remote sensing data.
– formulate the results of the analysis of big data and machine learning, the content and factors of the formation of GIS technology of local, regional and national scale.
– to evaluate and predict spatial data and their impact on society and geographic systems to develop methodological provisions for forecasting and planning of economic use of agricultural land on the basis of GIS technologies.
– design thematic and large-scale series of forecast electronic maps for project planning and management in the study of spatial geosystems.
to present the results of research in a professional environment, to justify the choice of methods of scientific research, the results of the main provisions of project research.
interpret the spatial data processing capabilities of the R language into an open-source GIS software.
– demonstrate the use of innovative methods and promising trends of modern GIS technologies in the planning of scientific and educational programs.
– draw a conclusion of holistic knowledge, reflecting the current level of automated systems for the collection and processing of remote sensing data.
– formulate the results of the analysis of big data and machine learning, the content and factors of the formation of GIS technology of local, regional and national scale.
– to evaluate and predict spatial data and their impact on society and geographic systems to develop methodological provisions for forecasting and planning of economic use of agricultural land on the basis of GIS technologies.
– design thematic and large-scale series of forecast electronic maps for project planning and management in the study of spatial geosystems.
to present the results of research in a professional environment, to justify the choice of methods of scientific research, the results of the main provisions of project research.
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Academic writing
- Number of credits: 2
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The aim of the course: to form the ability to prepare the results of scientific research for publication, to master the technique of creating a finished and logically integral work within the framework of a specific scientific paradigm. The training course forms the basis for understanding the methodological concept of the study, organizing activities in the systematization and coverage of issues related to the topic of the study. The discipline is aimed at studying the stages and norms of the publication process.
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Digital technologies of environmental monitoring according to remote sensing data
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of practical methods of modeling and mapping the potential of ecosystem services for the development of geosystems in biosphere reserves on the basis of remote sensing data for environmental monitoring. During the study of course, students should be competent in: practical application of new methods and algorithms of remote sensing data processing for comparison with data processing and analysis systems; implementation of editorial and preparatory work on the study of cartographic phenomena on space images; development of editorial documents, creation of maps based on the processing of images of a new type in specialized GIS programs; solving problems of preliminary and thematic processing of digital satellite images, automated mapping using GIS technologies and data; release of unified knowledge reflecting the current level of automated system of remote sensing data collection and processing During the study of the discipline students will learn following aspects: Solutions to the problems of territory management. Creation of an automated system that monitors specific for the region natural and man-made phenomena such as forest fires, floods, control of forest users and subsoil users, etc. As the technological basis of the system, space monitoring associated with the acquisition and processing of remote sensing data (remote sensing of the Earth) is used.
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Scientific Research methods
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability to independently conduct geoinformation research based on knowledge of GIS and remote sensing methods. The discipline is aimed at studying the methodological principles of analysis, the principles of intensification of research techniques using remote sensing data, statistical data, cartographic materials, databases, expanding the functionality of independent interactive research methods.
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GIS project management
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of basic knowledge in the study of modern methodology and technology of GIS project management and identify the place and role of GIS project management in the overall system of organizational and economic knowledge. The discipline is aimed at the study of theoretical and practical knowledge of the content and structure of GIS project management, life cycle; the theory of GIS project management
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PhD thesis writing and defence
- Number of credits: 12
- Type of control: Защита НИР
- 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.
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Automation of information systems of land cadastre of Kazakhstan
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the creation and development of automation of information systems of land cadastre of Kazakhstan is to improve the efficiency of decisions in the field of land and real estate, as well as the quality of technological processes. During the study of course, students should be competent in: cadastral systems in order to organize the information basis for the conduct of state cadastral registration; - to develop the structure of the automated information system of state cadastral registration; - develop the structure of the geospatial database for the storage of cadastral information; - to develop a unified technology of processing of cadastral information; - to develop technology for the processing of inventory data by remote sensing. During the study of the discipline students will learn following aspects: Analysis and assessment of the state of the land. Implementation of software and hardware systems that provide automation of land cadastre. Digital methods of mapping. Create a database and an electronic map of the land cadastre. Interaction of the state land cadastre with sectoral cadastres
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Monitoring of Land With the Use of GIS Technology
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: collection and constant updating of information for management decision in the field of land monitoring, the impact of using the feedback through the service fee land payments or through public land inspection or other territorial bodies of the land committee. Objectives: the systematic identification of changes in the status of the land fund and update a data bank land registry, the study and evaluation of negative processes, the use and analysis of control over the use and protection of land, information provision of cadastral valuation of land. As a result of the discipline students must: To know: short-term and long-term forecasts of changes due to the intensive use of land resources. Be able to: publish environmental and industrial infrastructure. To mastery: GIS technology and the techniques of monitoring databases;
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Programming for Geospatial Science
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of modern theoretical and methodological use of machine learning in the analysis of tracking data (or movement) in various applications. During the study of course, students should be competent in: evaluate the benefits of machine learning in data analysis; demonstrate a systematic understanding of data mining and knowledge discovery techniques; to demonstrate the approaches and methods of complex pattern recognition motion segmentation the trajectories or clustering of trajectories - in the relevant fields to apply them in practice; analyze theoretical and scientific-practical knowledge of the basics of experimental evaluation in a number of case studies and optimize the workflow for motion analysis; to use the basic knowledge, basic approaches and methods model definitions of the movement, the development of new algorithms for pattern recognition of the movement. During the study of the discipline students will learn following aspects: learn the steps required to build a successful machine learning application using Python and the scikit-learn library. Knowledge of NumPy and matplotlib libraries. Working with huge amounts of data. Use Python scripts and web APIs. Integration of the software product with modules in SQL, Tcl/Tk, C, C++ and Java. Create apps for Google App Engine.
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Spatio-Temporal Analysis & Data Mining
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course: to give advanced theories and methods for visualization, modeling and analysis of spatio-temporal data (large). During the study of course, students should be competent in: - space-time visualization for comparison with data processing and analysis systems practical application of new methods and algorithms of data processing; - execution of editorial and preparatory work on statistical modeling and forecasting (spatio-temporal autoregressive integrated moving average).); - drafting, space-time clustering and emission detection; - Solving machine learning methods (kernel-based analysis, support vector machines, random forests, artificial neural networks, and deep learning); - multi-agent modeling of space-creating the results of holistic knowledge, reflecting the current level of analysis of time and social networks. During the study of the discipline students will learn following aspects: main data characteristics and principles of spatiotemporal data construction, space remote sensing systems, applied problems solved with the help of remote sensing data, methods and algorithms of data processing and interpretation, existing systems of processing and analysis of spatiotemporal data
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Spatial analysis and geocomputation
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose of: it consists in the formation of the ability to apply high-performance technologies and advanced concepts of processing, analysis, visualization and modeling of geospatial data to solve geospatial problems of the real world During the study of course, students should be competent in: - integrate the spatial data processing capabilities of the R language into the landscape of open source GIS software; - to use scripting capabilities for handling geographical data; - implement operations on spatial data, including spatial subsets and spatial aggregation; - display the results of geographical research in the form of static and interactive maps. During the study of the discipline students will learn following aspects: Geographic data in R. Attribute of these operations. Spatial data operations. Geometric operations. Geographic data redesign. Geographic I / o data. Create maps using R. Connect to GIS software. Scripts, algorithms and functions. Statistical training. Giorinox. Environmental issue.
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Spatial databases and data management
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The main purpose of : it consists in the formation of the ability to apply methods of spatial database management to solve customer-oriented planning tasks in the real world. During the study of course, students should be competent in: - to create a spatial enabled table in Postgres / PostGIS; - work with PostGIS data using an open source desktop GIS program (QGIS); - model real-world objects using subtypes, domains, topology rules, and relationship classes; - configure and administer an enterprise geodatabase (ArcSDE); - analyze the suitability of an open or proprietary approach to different project scenarios. During the study of the discipline students will learn following aspects: Retrieving data from a relational database. Concepts and theory of relational databases. Create a Postgres / PostGIS database. Advanced Postgres / PostGIS Themes. Working with a desktop geodatabase Esri. Introduction to an enterprise geodatabase. Manage data in an enterprise geodatabase. Versioned editing.
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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.