Means of building e-learning systems
Course: Software engineering
Structural unit: Faculty of Computer Science and Cybernetics
Title
Means of building e-learning systems
Code
ДВС.1.03
Module type
Вибіркова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
3 Semester
Number of ECTS credits allocated
4
Learning outcomes
PLO01. Know and systemically apply in software design domain analysis and modeling methods, information requirements elicitation and input data collection methods.
PLO02. Justify the choice of software requirements engineering, engineer, analyse, classify and prioritize requirements.
PLO06. Analyze, estimate and choose methods, modern hardware and software systems, programming tools, technologies, algorithmic and software solutions for effective implementation of specific software-related production tasks.
PLO07. Justifiably choose programming paradigms and languages for various applications; apply in practice system and specialized tools, component-based frameworks and integrated development environments.
PLO15.1. Know and competently use data security and integrity methods accordingly to software systems being developed.
Form of study
Full-time form
Prerequisites and co-requisites
Missed.
Course content
The purpose of the discipline - to reveal the importance of information technology for the modern education system, the directions of their application in the field of education; consider the main types and areas of application of software tools used in modern e-learning systems; teach students to design and develop e-learning systems. As a result of studying the discipline the student must: know the current trends in e-learning; basic organizational forms, technologies and methods of organizing effective e-learning; basic psychophysiological features of an adult that must be taken into account in the organization and implementation of e-learning; basic and most effective technical means of e-learning; modern technologies of organization of communications and feedback in e-learning; be able to plan and develop distance learning courses; to design educational, additional and practical materials of the distance course.
Recommended or required reading and other learning resources/tools
1. Bogdanovskaya I. M., Zaychenko T. P., Proyekt YU. L. Informatsionnyye tekhnologii v pedagogike i psikhologii: Uchebnik dlya vuzov. Standart tret'yego pokoleniya. – SPb.: Piter, 2015. – 304 s.
2. Andreyev A.V., Andreyeva S.V., Dotsenko I.B. Praktika elektronnogo obucheniya s ispol'zovaniyem Moodle. – Taganrog: Izd-vo. TTI YUFU, 2008. – 146 s.
3. Maykl G. Mur, Ueyn Makintosh, Linda Blek i dr. Informatsionnyye i kommunikatsionnyye tekhnologii v distantsionnom obrazovanii: Spetsializirovannyy uchebnyy kurs. Per. s angl. – M.: Izdatel'skiy dom «Obucheniye – Servis», 2006. – 632 s.
4. Tokmakova O.V., Syrtsova Ye.L. Distantsionnyy obrazovatel'nyy protsess: sushchnost', struktura, osobennosti organizatsii: Uchebnoye posobiye. – Kirov, 2010.
5. Tokmakova O.V. Problemy organizatsii onlayn-testirovaniya v distantsionnom obrazovanii: Uchebnoye posobiye. – Kirov, 2010.
6. Tokmakova O.V. Upravleniye protsessom obucheniya: Uchebnoye posobiye. – Kirov, 2005.
Planned learning activities and teaching methods
Lectures, laboratory classes, independent work, tests, presentation of laboratory work, credit.
Assessment methods and criteria
Half-year rating:
1. Test (test) 1: PH1.1, PH1.2 - 30 points / 18 points.
2. Test (test) 2: PH1.3, PH1.4 - 30 points / 18 points.
3. Laboratory work 1: РН1.1, РН2.1, РН3.1, РН4.1, РН4.1 - 10 points / 6 points.
4. Laboratory work 2: РН1.2, РН2.1, РН3.1, РН4.1, РН4.1 - 10 points / 6 points.
5. Laboratory work 3: РН1.3, РН2.2, РН3.1, РН4.1, РН4.1 - 10 points / 6 points.
6. Laboratory work 4: РН1.4, РН2.3, РН3.1, РН4.1, РН4.1 - 10 points / 6 points.
The credit score is defined as the sum of all points of all components provided by the discipline program. A student is not admitted to the test if he / she scored less than 60 points during the semester.
Language of instruction
Ukrainian
Lecturers
This discipline is taught by the following teachers
Yevgen
O.
Demkivsky
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics
Faculty of Computer Science and Cybernetics
Departments
The following departments are involved in teaching the above discipline
Department of Intelligent Software Systems
Faculty of Computer Science and Cybernetics