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Algorithms and Programming
Major: Distributed Information Systems and Technologies
Code of subject: 6.126.03.O.001
Credits: 6.00
Department: Information Systems and Networks
Lecturer: PhD in Physics and Mathematics, Hryhorovych Viktor Hennadiyovych
Semester: 1 семестр
Mode of study: денна
Завдання: Studying the academic discipline involves the formation of competencies in students:
Integral competence:
The ability to solve complex specialized tasks and practical problems in the field of information systems and technologies or in the learning process is characterized by the complexity and uncertainty of conditions that require the application of information technologies' theories and methods.
General competencies:
GC 1. Ability to abstract thinking, analysis and synthesis.
GC 2. Ability to apply knowledge in practical situations.
GC 3. Ability to understand the subject area and professional activity.
GC 7. Ability to develop and manage projects.
GC 8. Ability to evaluate and ensure the quality of work performed.
GC 10. The ability to preserve and multiply moral, cultural, scientific values ??and achievements of society based on understanding the history and patterns of development of the subject area, its place in the general system of knowledge about nature and society, and in the development of society, technology, and technology, to use various types and forms of physical activity for active recreation and leading a healthy lifestyle.
Special (professional, subject) competencies:
CS 3. The ability to design, develop, configure, and improve systems, communication, and software and hardware support of information systems and technologies, the Internet of Things (IoT), computer-integrated systems, and system network structure, and manage them.
CS 4. The ability to design, develop, and use means of implementing information systems, technologies, and info-communications (methodological, information, algorithmic, technical, software, and others).
CS 5. Ability to evaluate and take into account economic, social, technological, and environmental factors at all stages of the life cycle of infocommunication systems.
CS 13. Ability to conduct computational experiments, and compare the results of experimental data and the obtained solutions.
Learning outcomes: 1) Use basic knowledge of computer science and modern information systems and technologies, programming skills, technologies for secure work in computer networks, methods for creating databases and Internet resources, technologies for developing algorithms and computer programs in high-level languages ??using object-oriented programming to solve problems of designing and using information systems and technologies.
2) Ability to communicate, including oral and written communication in Ukrainian and foreign (English) languages;
3) Ability to use various methods of modern information technologies for effective communication at the professional and social levels.
4) Ability to adapt to new situations and make appropriate decisions;
5) Ability to realize the need for lifelong learning to deepen the acquired and acquire new professional knowledge;
6) The ability to take responsibility for the work performed, make decisions independently, and achieve the set goal while complying with the requirements of professional ethics;
Required prior and related subjects: • Discrete Mathematics;
• Object-Oriented Programming
Summary of the subject: The discipline "Algorithmization and Programming" is designed to train a modern highly qualified specialist in the field of computer science and information technology. The discipline in a logical sequence outlines the basic concepts, methodologies and tools for building algorithms and programming. The discipline includes such sections as the basics of managing the order of calculations, data structures and algorithms for their processing.
The presentation of the material is carried out in sequence, which allows you to build a study of the discipline with increasing complexity. All statements are accompanied by illustrative examples. Each topic ends with a set of carefully selected practical and laboratory tasks. Practical and laboratory material is significant in volume (it is 40% of the total volume of the discipline) and close to the real tasks of an IT specialist.
Опис: 1. Basic concepts of programming systems.
2. Linear programs. Version control systems.
3. Branching.
4. Loops.
5. Unit tests. Function organization. Recursion.
6. One-dimensional arrays.
7. Multidimensional arrays.
8. Literal strings.
9. Programs and modules.
10. Enumerations, structures, unions.
11. Text files.
12. Binary files.
Assessment methods and criteria: • Current control (40%): written reports on laboratory work, settlement and graphic work, independent work, oral examination;
• Final control (60% of exam): in written
Критерії оцінювання результатів навчання: Knowledge diagnostics is carried out by assessing completed laboratory work (delay in completing and defending the work without good reason - reduces the grade by 10% for each week of such delay), three tests in the form of test questions and examination control (written and oral components) in the form of solving tasks for writing programs.
Knowledge diagnostics is carried out by assessing completed laboratory work (delay in completing and defending the work without good reason - reduces the grade by 10% for each week of such delay), three tests in the form of test questions, and examination control (written and oral components) in the form of solving tasks for writing programs.
Current control: 40
Exam: Written component - 50, oral component - 10.
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: 1. Hryhorovych V. H. Algorithmization and programming. Part 1: textbook / V. H. Hryhorovych. – Lviv: Magnolia 2006, 2022. – 357 p.
2. Hryhorovych V. H. Algorithmization and programming. Part 2. Type system. Arrays: textbook / V. H. Hryhorovych. – Lviv: Magnolia-2006, 2023. – 268 p.
3. Hryhorovych V. H. Algorithmization and programming. Part 3. Literal strings. Enumerations, unions, structures. Files: textbook / V. H. Hryhorovych. – Lviv: Magnolia-2006, 2023. – 322 p.
4. Kovalyuk T. V. Fundamentals of programming. – K. BHV, 2005. – 384 p.
5. Kovalyuk T. V. Algorithmization and programming: a textbook with the seal of the Ministry of Education and Science of Ukraine / T. V. Kovalyuk. – Lviv: Magnolia-2006, 2013. – 400 p.
6. Shakhovska N. B. Algorithms and data structures / N. B. Shakhovska, R. O. Holoshchuk. – Lviv: Magnolia-2006. – 2009. – 216 p.
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