Teaching mathematics and computer science in higher education

Course: Mathematical Methods of Artificial Intelligence

Structural unit: Faculty of Computer Science and Cybernetics

Title
Teaching mathematics and computer science in higher education
Code
ОК.19
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2023/2024
Semester/trimester when the component is delivered
4 Semester
Number of ECTS credits allocated
3
Learning outcomes
PLO21 The ability to develop and teach specialized educational disciplines in the field of information technology in higher education institutions.
Form of study
Prerequisites and co-requisites
Prerequisites for mastering or choosing an academic discipline: none.
Course content
Discipline aim. The purpose of the course is to familiarize students with the organization of teaching information technology disciplines in higher education institutions; to reveal the significance of information technologies for the modern education system, the directions of their application in the field of learning; to develop in the participants the ability to conduct scientific and pedagogical activities in higher education institutions. The academic discipline "Methods of Teaching Mathematics and Computer Science in Higher Education" is an integral part of the educational and scientific program for training specialists at the second (master's) level of higher education in the field of knowledge 12 Information Technologies, within the specialty 122 Computer Science, in the educational and scientific program "Artificial Intelligence". This discipline is a mandatory course within the educational and scientific program "Artificial Intelligence". It is taught in the 4th semester, comprising 90 hours (3 ECTS credits), including 14 hours of lectures, 12 hours of seminars, 62 hours of independent work, and 2 hours of consultations. The instruction of the discipline concludes with an examination.
Recommended or required reading and other learning resources/tools
1. http://osvita.ua/legislation/law/2231/ 2. http://osvita.ua/legislation/law/2235/ 3. https://knu.ua/pdfs/official/Polozhennia-pro-organizatsiyu-osvitniogo-procesu-11_04_2022-with-changes.pdf 4. https://knu.ua/pdfs/official/Quality-assurance-system-of-education-and-educational-process.pdf
Planned learning activities and teaching methods
Lecture, Individual work.
Assessment methods and criteria
Business Game - Simulation of Professional Activities for an Instructor of Information Technology Disciplines in Higher Education Institutions with Subsequent Discussion: RO1.1; RO2.1, RO3.1 – 30 points / 18 points. Practical Application of Electronic Tools to Support the Learning Process for One of the Specialized Disciplines: RO1.2 – 10 points / 6 points. Independent Work (Analysis and Development of a Personal Version of the Syllabus for One of the Specialized Disciplines under Specialty 122 "Computer Science"): RO2.1, RO3.1 – 10 points / 6 points. Independent Work (Analysis of one of the Sessions conducted by the Instructor for a Discipline Studied by the Student in the Current Semester): RO2.1, RO3.1 – 5 points / 3 points. Independent Work (Review of the Educational Program under Specialty 122 "Computer Science"): RO2.1, RO3.1 – 5 points / 3 points.
Language of instruction
Ukrainian, English

Lecturers

This discipline is taught by the following teachers

Nataliia G. Rusina
Theory and Technology of Programming
Faculty of Computer Science and Cybernetics

Departments

The following departments are involved in teaching the above discipline

Theory and Technology of Programming
Faculty of Computer Science and Cybernetics