Details - Tematika

Basic Mathematics (GAINBAN-ALAPMATE-1)

Basic data

Name and type of the study programme

Computer Science Engineering, undergraduate program

Curriculum

2022

Classes / consultation hours

0 + 2 + 0 (L+S+Labs)

Credits

0 credits

Theory – Practice

Theory: 0%, Practice: 100%

Recommended semester

Semester 1

Study mode

full-time

Prerequisites

Evaluation type

Obtaining a signature

Course category

Compulsory

Language

English

Instructors

Responsible instructor

Osztényiné dr. Krauczi Éva

Responsible department

Department of Basic Sciences

Instructor(s)

Wang Shanshan

Checked by

Kovács Márk

Course objectives

The aim of the course is to provide students with the basic concepts and methods needed to master higher mathematics and to fill in the gaps for the shortcomings of secondary school.

Course content

Seminars

1. Number sets: natural numbers, integers, rational numbers, real numbers 2. Solving linear equations, word problems, operations with fractions, order of operations, percentages 3. System of linear equations (graphical solution, substitution, elimination), word problems 4. Trigonometry and applications, trigonometric equations 5. Simplifying radical expressions, quadratic equation 6. Exponents, rules of exponents 7. Polynomials 8. Factoring 9. Logarithm, logarithm rules, solving exponential and logarithmic equations, word problems 10. Distance of points in a coordinate system, equation of curves, length and scalar product of vectors 11. Elementary functions and their properties, transformations of functions

Acquired competences

Knowledge

Is familiar with the scientific principles and methods necessary for working in the field of information technology (mathematics, physics, other natural sciences).

Skills

Is able to apply his/her knowledge in practice, both individually and as part of a team.

Attitude

Strives to perform work efficiently and to a high standard. Is open to expanding their knowledge.

Autonomy and responsibilities

Is able to carry out assigned tasks independently.

Additional professional competences

Efficient use of digital technology, knowledge of digital solutions to fulfill educational objectives.

Requirements, evaluation and grading

Mid-term study requirements

Students who have passed the Week 1 examination with at least 60% of the marks have obtained a signature in the subject. The others must score at least 60% on the two examinations ( total) to get a pass mark, and you can write a revision at the end, either or both exams.

Generative AI usage

Use of GAI tools is not permitted for solving assignments. This means GAI tools cannot be used to complete formative or summative assessments, and using GAI constitutes academic misconduct. The use of AI tools for spelling and grammar checking does not fall under this prohibition.

Study aids, laboratory background

Basic Mathematics study material in Moodle.

Readings

Compulsory readings

Senior Contributing Authors Jay Abramson, Algebra and Trigonometry, OpenStax, Web Version Last Updated: Jan 09, 2024, ISBN-13: 978-1-711494-04-3 https://openstax.org/details/books/algebra-and-trigonometry-2e