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Basics of Research and Innovations in the Field of Computer Systems and Networks
Major: Computer Systems and Networks
Code of subject: 7.123.01.E.024
Credits: 4.50
Department: Electronic Computing Machines
Lecturer: Anatoliy Melnyk
Semester: 3 семестр
Mode of study: денна
Завдання: The study of an educational discipline involves the formation of competencies in students of education:
Integral competence (INT)
The ability to solve complex specialized tasks and practical problems during professional activity in the field of information technology or in the learning process, which involves the application of theories and methods of computer engineering and is characterized by complexity and uncertainty of conditions.
General competencies:
GC3. Ability to conduct research at an appropriate level.
GC4. Ability to search, process, and analyze information from various sources.
GC5. Ability to generate new ideas (creativity).
Special (professional, subject) competences
SC7. Ability to research, develop and select technologies for creating large and ultra-large systems.
SC9. Ability to present the results of own research and/or development in the form of presentations, scientific and technical reports, articles, and reports at scientific and technical conferences.
Professional competencies:
PCS1.4. The ability to use professional knowledge and practical skills to optimize design and technological solutions in order to increase the efficiency of high-performance computer systems.
Learning outcomes: program learning outcomes
Learning outcomes: Apply specialized conceptual knowledge, including modern scientific achievements in the field of computer engineering, necessary for professional activity, original thinking and conducting research, critical thinking of information technology problems and at the border of the fields of knowledge.
Teaching and learning methods: Lectures, practical classes - information-receptive method, reproductive method, heuristic method, problem presentation method, independent work - reproductive method, the research method.
Methods of assessing the level of achievement of learning outcomes: Current control - performance of practical work, oral and frontal survey.
Learning outcomes: Understandably and unambiguously convey one's own knowledge, conclusions and arguments on information technology issues and relevant interdisciplinary issues to specialists and non-specialists, in particular to students.
Teaching and learning methods: Lectures and practical classes: information-receptive method; reproductive method; heuristic method; problem statement method. Independent work: reproductive method.
Methods of assessing the level of achievement of learning outcomes
Current and examination control. Knowledge assessment methods: selective oral survey. The exam is a written survey.
Learning outcomes: To understand trends in the development of computer technology and their elements in the field of problem-oriented computer systems development and methods of improving the efficiency of their work.
Teaching and learning methods: Lectures, practical classes - information-receptive method, reproductive method, heuristic method, problem presentation method, independent work - reproductive method, research method.
Methods of assessing the level of achievement of learning outcomes
Current and examination control. Knowledge assessment methods: selective oral survey, assessment of activity, submitted proposals, original solutions, clarifications and definitions, etc. The exam is a written survey.
Required prior and related subjects: Previous educational disciplines: Research and design of computer systems and networks.
Associated and following academic disciplines:
Organization of computing processes in parallel systems,
Designing digital tools on FPGA
Summary of the subject: The educational discipline "Fundamentals of scientific and innovative activity in the field of computer systems and networks" is designed to provide students with the basics of conducting scientific and innovative activity in the field of computer systems and networks. To master this discipline, knowledge of the following disciplines is necessary: "Research and design of CSN".
Опис: Lecture classes
1. Basics of scientific and innovative activity in the field of computer systems and networks
The structure of scientific research. Types of research. Research program. Formulation of the research problem. Solving the problem. Purpose, object, and subject of research. The purpose and tasks of the research. Hypothesis in research. Hypothesis testing. Scientific evidence and argumentation. Scientific ideas. Generalization. Conclusions and recommendations based on the research results. Concept of research method. Classification of scientific research methods. Justification of research methods. Analysis and synthesis. Dialectical and formal logic. Induction. Deduction. Qualitative and quantitative analysis. Modeling. A systematic approach. Scientific forecasting. Methods of empirical research. Observation. Measurement. Method of classifications. Selective method. Testing. Experimental method. Selection and justification of the research topic. Drawing up a plan of scientific research. Information support of work. Collection of material. Analysis and processing of literary information. Mathematical support of research. Accumulation and processing of experimental data. Interpretation of the obtained results. Scientific discussions. Internet resources of science. Presentation of scientific results. Implementation of scientific results.
2. Main directions of research in the field of computer systems and networks: Intellectualization of calculations. Autonomous calculations. Adaptive computing. Distributed computing. Mobile computing. Cloud and edge computing technologies. Ubiquitous computing. Quantum computing. Biomolecular calculations. Reconfigurable calculations. Heterogeneous calculations. Secure computing.
3. New models of calculations using artificial intelligence technologies. Principles of reconfiguration, self-configuration and self-improvement.
The latest computer architectures: RISC, VLIW, EPIC, vector, with data flow machine elements, EDGE, based on memory with ordered access.
The latest processors with an open architecture. RISC V, computer systems based on it: characteristics and applications.
A total of 12 hours, each topic 4 hours.
1. Reconfigurable environments, reconfigurable, self-configurable, and self-improvable computer systems: motivation and concepts.
2. Software models based on FPGAs of major manufacturers. Development of design technologies. Design methodology at the system level. System-level design tools.
3. Means of automatic design of specialized processors. Elementary models of computer devices and subsystems. Development of high-level models and automatic synthesis of FPIC based on FPGA using SystemC+MS Visual Studio+Celoxica Agility Compiler, Vivado, and Chameleon.
4. Internet of things and cyber-physical systems. Edge and cloud computing.
5. Consolidation of the results of scientific research - ACPS journal.
Research of information sources - IEEExplore.
6. Seminar classes
Word styles of articles for ACPS magazine. Word styles for an explanatory note to MKR - styles of the Computer Department.
Use of bookmarks and hyperlinks in the explanatory note to the ICR.
Organization of publications of the results of the MKR.
Copying the styles of the Computer Department.
Standard control of articles in ACPS magazine.
Search for sources of information and their annotations in the IEEExplore database.
Discussion and approval of research results.
Final lesson. Entering the results of practical classes into the examination assessment.
A total of 24 hours, topics 1-5 2 hours each, topic 6 - 14 hours.
Assessment methods and criteria: Activities for evaluating the results of graduate students' training include current and semester monitoring of training results and diagnosis of the acquisition of competencies. Current control is carried out during practical classes of the graduate student, which aims to check the level of assimilation of theoretical and practical knowledge. The result of current control is formed from the results of practical classes and the performance of an individual research task (writing an essay).
Semester control is carried out in the form of an exam based on the weighted-cumulative system and in the terms established by the University.
Критерії оцінювання результатів навчання: Maximum score in points
Current control (PC) Examination control Together for the discipline
Practical classes Together at the PC written
the oral component
component
40 40 50 10 100
Procedure and criteria for assigning points and grades:
1. Distribution of points subject to the completion of the study plan, completion of all control tasks and the calendar plan for course work, otherwise, according to the results of the semester exams, the student is considered not certified.
2. The maximum number of points for the assessment of current control (PC) of knowledge per semester is 40 points.
3. Control measure (KZ) - exam - conducted in written form - 60 points.
4. All exams are conducted in written and oral form.
5. The student also completes the exam before the commission in written and oral form, with the questions and answer scores recorded on the exam sheet.
6. Students are admitted to the exam subject to completion of the curriculum (all laboratory work).
Порядок та критерії виставляння балів та оцінок: 100–88 points – (“excellent”) is awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their interrelationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems; 87–71 points – (“good”) is awarded for a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions posed, which, however, contain certain (insignificant) shortcomings, for the ability to apply theoretical provisions when solving practical tasks; 70 – 50 points – (“satisfactory”) awarded for weak knowledge of the component’s educational material, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems; 49-26 points - ("not certified" with the possibility of retaking the semester control) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems; 25-00 points - ("unsatisfactory" with mandatory re-study) is awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to navigate when solving practical problems, ignorance of the main fundamental provisions.
Recommended books: Basic
1. Melnyk A.O., Melnyk V.A. Personal supercomputers: architecture, design, application. Monograph. Lviv: Publishing House of Lviv Polytechnic, Lviv, 2013. — 516 p.
2. Melnyk A.O. Random access memory. Monograph. Lviv: Publishing House of Lviv Polytechnic, Lviv, 2015. — 370 p.
3. Advanced Computer Systems and Networks: Design and Application. Vol. 1,2. 2016-2022.
Auxiliary
4. M. I. Adamenko Fundamentals of scientific research / M. I. Adamenko, M. V. Beilin. – Kh.: V.N. Karazin KhNU, 2014. – 188 p.
5. Bilukha M. T. Methodology of scientific research: tutorial. For bachelors, masters and postgraduate students of econ. special University - K.: ABU, 2002. - 480 p.
6. Humenna O. A. Fundamentals of scientific research. – Sumy: Sumy DPU named after A. S. Makarenko, 2007. – 99 p.
7. Kysly V. M. Organization of scientific research: study guide / V. M. Kysly. – Sumy: University Book, 2011. – 224 p.
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