PhD courses
Speciality Code:
8D06101
Speciality Name:
Information Systems
Faculty:
Information technology
Qualification:
- Scientific and pedagogical direction - Doctor of Philosophy (PhD)
- Model of graduating student
- Mandatory disciplines
- Elective disciplines
- Professional
Upon completion of this program it is expected that graduates of PhD doctoral studies will be able to:
ON1. conduct domain research, analyzing and synthesizing the latest theories in the field of modeling, design, development, implementation and maintenance of information systems;
ON2. conduct experimental studies by obtaining empirical data for comparative analysis and analogy, identifying the distinctive features;
ON3. develop algorithms, models of software products in the process of applied research, conducting a patent search, applying mathematical models;
ON4. to identify patterns, algorithms, models for effective development in theoretical studies based on modern methodologies by integrating the necessary resources from interdisciplinary areas;
ON5. plan and organize research activities in the field of information systems, carry out research projects, manage research in organizations on the basis of project, innovation, production, strategic management;
ON6. to make a scientific, engineering and technical opinion on scientific projects, scientific research in the field of IT infrastructure and information systems;
ON7. to summarize the scientific novelty, contribution to the development of the sphere of information systems by conducting the required scientific research in the field of information technology;
ON8. improve methodologies and technologies at the stage of maintenance of the life cycle of an information system;
ON9. create high-tech start-ups that contribute to the sustainable development of information systems, develop specifications for IT solutions;
ON10. conduct scientific and pedagogical activities, participate in the development of educational and methodological materials for teaching disciplines in the direction of "Information Technology";
ON11. develop a software product in the form of an information system for production purposes on the basis of research and development and the latest technological solutions;
ON12. integrate with the world scientific community by citing high-quality publications, participating in scientific conferences, publish scientific and technical reports, reviews, present scientific results, observing the scientific ethics of a research scientist, work in a team.
ON1. conduct domain research, analyzing and synthesizing the latest theories in the field of modeling, design, development, implementation and maintenance of information systems;
ON2. conduct experimental studies by obtaining empirical data for comparative analysis and analogy, identifying the distinctive features;
ON3. develop algorithms, models of software products in the process of applied research, conducting a patent search, applying mathematical models;
ON4. to identify patterns, algorithms, models for effective development in theoretical studies based on modern methodologies by integrating the necessary resources from interdisciplinary areas;
ON5. plan and organize research activities in the field of information systems, carry out research projects, manage research in organizations on the basis of project, innovation, production, strategic management;
ON6. to make a scientific, engineering and technical opinion on scientific projects, scientific research in the field of IT infrastructure and information systems;
ON7. to summarize the scientific novelty, contribution to the development of the sphere of information systems by conducting the required scientific research in the field of information technology;
ON8. improve methodologies and technologies at the stage of maintenance of the life cycle of an information system;
ON9. create high-tech start-ups that contribute to the sustainable development of information systems, develop specifications for IT solutions;
ON10. conduct scientific and pedagogical activities, participate in the development of educational and methodological materials for teaching disciplines in the direction of "Information Technology";
ON11. develop a software product in the form of an information system for production purposes on the basis of research and development and the latest technological solutions;
ON12. integrate with the world scientific community by citing high-quality publications, participating in scientific conferences, publish scientific and technical reports, reviews, present scientific results, observing the scientific ethics of a research scientist, work in a team.
-
Intellectual Data Analysis in IS
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline develop skills in data mining to designate a set of detection methods in non-trivial data, practically useful and accessible interpretation of knowledge necessary for making decisions in the field of information systems.
-
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.
-
Academic writing
- Number of credits: 2
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose of the discipline: help students avoid typical mistakes, both when creating written scientific texts and when describing technical applications in the specialty "Information systems". As a result of studying the discipline, the doctoral student will be able to: 1. Have a high level of logical and theoretical thinking, the ability to creatively use theoretical and technical applications of modern technologies in the field of information technology and the use of related information technologies to solve practical problems of this specialty. 2. Possess the skills of conducting independent scientific research in the field of information technology, using the main tools for analyzing software development, the ability to use relevant literature, electronic libraries and databases necessary for an adequate and modern scientific review, as well as knowledge of methodologies for their analytical description using a modern theoretical and methodological base. 3. be Able to create and analyze tools for analyzing and monitoring information systems for vulnerabilities, stability, including stylistic features of the Kazakh and English languages. 4. Be able to conduct professional expertise of scientific publications and software for information technology, have the skills to edit and correct scientific texts in this specialty, and software. 5. Have the skills to organize and manage projects in the field of scientific research and socio-pedagogical activities in the specialty information systems, as well as the formation of scientific and applied projects. The discipline "Academic writing" is focused on the development by students of knowledge about the structure, forms and contents of research work, on the formation of basic skills related to writing and analyzing a scientific text, taking into account the professional characteristics of the specialty "Information Systems".
-
Scientific Research methods
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of mastering the disciplines is to develop the ability of doctoral students to conduct research based on the analysis, systematization and generalization of research results in the field of information technology through the use of a set of research methods for solving specific research problems. As a result of studying the discipline, the doctoral candidate will be able to: 1. independently master and use new research methods; 2. use knowledge of modern problems of science in the field of information technology; 3. lead the research work of students; 4. analyze the results of scientific research, apply them in solving specific research problems in the field of science, independently carry out scientific research; 5. use individual creative abilities to independently solve research problems. The discipline " Research methods " focuses on the development of students ' knowledge of the laws, principles, concepts, terminology, content, specific features of the organization and management of scientific research. Objectives of the discipline: disclosure of the progressive nature of science, scientific directions and scientific results, its necessity for the progressive development of society; familiarity with the main theoretical provisions, laws, principles, terms, concepts, processes, methods, technologies, tools, operations of scientific activity; the study of methods of planning and organization of scientific researches; familiarity with General scientific methodology, concept, creativity, the General scheme of organization of scientific research use of scientific methods in storeinformation technologies; the study of methods of planning and organizing scientific research.
-
Optimization methods in information systems
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: The general formulation of the optimization problem and the main provisions. The necessary and sufficient conditions for the absolute extreme. The necessary and sufficient conditions for a conditional extremum. Constrained optimization with constraints of equality type. Constrained optimization with constraints of inequality type. Numerical methods for finding the absolute extreme. Methods of zero order. Methods for one-dimensional minimization. Methods of zero order. The methods of conjugate directions and random search. The methods of the first order. Gradient methods. The methods of the first order. Gauss-Seidel method. The method of cubic interpolation. The methods of the second order. Newton's method.The methods of the second order. Newton-Raphson method. Numerical methods for finding the conditional extremum. The method of successive unconditional minimization. Methods of fines and barrier functions.Tasks of the calculus of variations.
-
Blockchain technologies
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: digital storage of information format, excluding the possibility of falsification of data to solve a number of problems based on technology benefits blockchain that can be used in projects. Will be studied: peer-to-peer accounting log system, a module and algorithm that processes the information content of ordered interconnected data blocks as a whole using cryptographic and data protection technologies to ensure system integrity.
-
Models and Methods of Knowledge Processing in Intelligent Systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: Subject, object, method, purpose and objectives of the discipline. The place and role of artificial intelligence systems in the work of a doctoral student. Conceptual foundations of artificial intelligence. Approaches to the construction of AI systems. Application area. Tools for building expert systems. Functional structure of FIC use. Expert systems. Stages of building ES. Explanatory abilities of ES. User interaction with the ES. The basic modes of operation of expert systems. Technology development of expert systems. Planning in intelligent systems; Methods for finding solutions in ES: search in the state space, reduction, deductive inference. Knowledge engineering. Knowledge and data. Properties of knowledge and the difference of knowledge from data. Types of knowledge: declarative and procedural, extensional and intentional. Fuzzy knowledge. Extraction of knowledge. Sources of expertise, the extraction and structuring of knowledge, the stage of knowledge acquisition, automated knowledge acquisition. Representation of knowledge in intellectual systems. Models of knowledge representation in AI systems. Methods of inference: direct and reverse. Strategies for selecting rules in logical output. Semantic networks. Types of relationships in semantic networks. Abstract and specific networks. Principles of information processing in semantic networks. Frames and objects. Basic frame concepts: slots, attached procedures-servants and procedures-demons, property inheritance. Relationship between the notion of a frame and an object in OO programming. Network of frames. Principles of processing data in a network of frames. Scenarios; Knowledge bases. BZ measurement. Training in intelligent systems. Classification of teaching methods by the method of teaching: empirical and analytical, in depth of learning - symbolic (superficial) and knowledge-based (in-depth). The connection of this classification with the concepts of inductive inference, inference by analogy, learning by examples. Systems of understanding of natural language, machine translation. Difficulties in recognizing the natural language (EY). Syntactic- and semantically-oriented approaches to the recognition of EH. Semiotics and its basic concepts. Stages of the analysis of EH: morphological, syntactic, semantic, pragmatic. Models of semantics of language. Visual perception of the world: the system of computer vision, pattern recognition, visual systems of intelligent robots. Statement of the problem of pattern recognition. Statistical methods for pattern recognition and classification. Cluster analysis. Syntactic (structural) approach to the analysis of images. Allocation of features. Recognition of three-dimensional objects. Neural networks. Basic concepts of natural and artificial neural networks and neurons. Formal McCullock-Pitts neuron. Neural network as a mechanism, trained in pattern recognition or adequate response to input signals (input information). Classification of neural networks. Multilayer perceptrons. Evaluation of the state of the neural network. Reducing the functioning of the neural network to the task of minimizing the objective function. Algorithm for learning back error propagation. Application of neural networks. Neural network as associative memory. The use of neural networks for forecasting. Features of processing of symbolic and numerical information in neural networks
-
Methods of designing information systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects:The purpose and objectives of the discipline, its role and place in the general system of specialist training. The basic groups of concepts: system, model and modeling, design and engineering, types of computer systems (software, automated, information, databases), methodology and technology. Tasks and areas of application of IP. Clarification of the concepts "database" and "database management system".General concepts in the field of IS design.Model ANSI / SPARC. Classification of IP. File-server and client-server architectures. Multi-tiered architecture. General procedure for designing an IS. CASE-tools, models and notations.Relational data model Strict definition of the concept of "data model". Overview of data models. Components of the relational data model. Logical interpretation of the concepts of RMD. A critical review of the implementation of the RMD in the SQL standard. NULL problems.Transactions.Definition. ACID properties. Transaction log. Parallel processing problem. Levels of insulation. Locking and versioning. Dead ends. Long and short transactions. Distributed transactions.Programming server solutions.Stored procedures. Custom Functions. Triggers. Representation.Ensuring Performance Indices: B-trees, clustered and nonclustered indices. Overview of the topic of query optimization.Ensuring security.The security system is an example of a Microsoft SQL Server database. Types of authentication. Authorization. Ownership chains.Ensuring high availability. Backup and recovery. Replication. Mirroring. Clusters.Reporting technologies. Built-in tools. Components. Template technologies. Industrial means.
-
Big Data and Visual Analytics
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Big data - a set of approaches, tools and methods for processing structured and unstructured data of huge volumes and significant diversity for obtaining human-readable results that are effective in the conditions of continuous growth, distribution over numerous nodes of the computer network, alternative to traditional database management systems and solutions of the Business Intelligence class. During the study of the discipline learn following aspects: Case Studies, and Preview of Course Material. Preliminary Analysis, Interpretation, Detailed Analysis, Data types and formats. Exploratory data analysis and data understanding. Big data and Big data acquisition. Visual data exploration. Introduction to Analytic Methods, Types of Data Mining for Analytics. Data mining and the knowledge discovery process. Overview of data mining and machine learning techniques. Data preparation. Data visualization for the web. Data visualization and visual analytics. Basics of visual representation of data: hierarchies, networks, maps, time series, spatio-temporal data, text. Graph analytics how to build and store graphs basics; power laws; centrality graph statistics and how to compute them. Graph analytics graph algorithms interactive tools. Time series: algorithms, visualization, & applications. Text analytics: concepts, algorithms, visualization. Mobility data analytics. Big data proxies of human mobility. Basic measures of human mobility. Data-driven human mobility models. Mobility data mining with mobile phone data.
-
Methods of software devolopment for information projects
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: The complexity of the real domain, the complexity of describing the behavior of large discrete systems, the complexity of managing a team of developers. Problems that arise when communicating with customers of software systems. The complexity of assessing the quality of software. The life cycle of software. Distribution of financial and time costs for implementation of each of the stages of software development. System inspection, communication with the customer, development planning, drafting of the technical assignment.Detailed analysis of the domain, the final decision on the need to create an information system, the design of the overall architecture of the system, the choice of design method. Cascading and iterative technologies. Criticality and scale of program projects. Extreme programming technology. SCRUM technology. Advantages and disadvantages of rapid software development technologies. Organization of team work on the project using rapid development technologies. Building an object-oriented system architecture. Methods of object-oriented analysis for identifying classes and objects. CASE-means of object-oriented design. Project management tools. The use of these tools in the development and maintenance of software products. Use of means of collective possession of a code at creation of corporate information systems. Strategies and methods of testing. Direct and reverse testing. Software tools for testing automation. Methods for evaluating software quality. Process approach to software quality assessment. Planning the process of implementing a software product. The main tasks are solved at the implementation stage. The process of eliminating errors during the implementation phase. Technical support for users during the maintenance phase.
-
System and information integration
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline: to form the ability to integrate information, a combination of data sources of data sources to solve problems of system development, integration of information in interdisciplinary areas.
-
nformation Economics and Information Systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: Fundamentals of economic and mathematical modeling: The definition and characterization model. Vision modeling. The mathematical modeling of osobennosti. Basic principles and definitions in economics. Technical support information systems. Software information systems. Information support of information systems. Purpose of information support. The structure of information support. Internet technologies in economics and business. Search for economic information on the Internet. Information resources of the Internet. Internet advertising. Online stores
-
Models ant methods of IS managerial tasks
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability to adapt modern methodologies for supporting and making decisions for the effective management of production, technological, strategic processes
-
Neural networks and their appliance in practical problems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability to model processes according to the principle of organization and functioning of neural networks for the tasks of forecasting, pattern recognition, tasks of adaptive control.
-
Parallel and Distributed Database Systems and Applications
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: Control system by databases in architecture "client-server". Architecture is a "client-server". Open system. Clients and servers of networks. Technology of work in architecture "client-server". Principles of cooperation between client and server parts. Advantages of protocols of remote call of procedures. Up-diffused by DB. Aims or rules of the distributed systems.
-
Application Branch of Intellectual Systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability to use the principles and practices of formal models of natural languages for the study of problems of computational linguistics.
-
IT Project Management
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The management of information systems in the modern organization takes all the essentials. During the study of the discipline learn following aspects: the role of project, modeling and methodology of project management in IT, object management, subject management, process management, practical application of information technologies in management. Drawing up a project plan; Project risk management; Financial justification of the project; Control and monitoring; Schedule management; Basics of the theory of constraints; Integration management; Resource management; Quality management methods; Project team management; Multi-project and portfolio management
-
Design patterns of IS applications
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: During the study of the discipline learn following aspects: object-oriented data processing methods, the main types of design patterns; their advantages and disadvantages; documenting specifications, establishing links between the functionality of the developed system, criteria for the applicability of templates in a given situation.
-
Semantics in natural languages processing
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: to form the ability to conduct a semantic analysis of language buildings for machine translation information systems.
-
The organization's strategy and information security management
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: In studying the discipline, the following topics will be considered: the concept of informational security, its in the system of national security. Principles, tasks, functions and standards of information security in public administration. Organization legal support of work with open information in public management. Protection of the constitutional rights of citizens to preservation of personal confidentiality and confidentiality. personal data available in information systems of public authorities. personal management.structure and principles of information protection systems, principles of operation of the main components and services of information protection systems.
-
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.