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Calculus I
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Calculus I
Code: 21172
ECTS: 7.0
Lecturers in charge: doc. dr. sc. Miroslav Jerković
Lecturers: Lectures:
doc. dr. sc. Miroslav Jerković
Take exam: Studomat
Load:

1. komponenta

Lecture typeTotal
Lectures 45
Seminar 45
* Load is given in academic hour (1 academic hour = 45 minutes)
Description:
COURSE OBJECTIVES
To introduce students to number systems, the basic concepts of linear algebra, elementary functions, and the concept and meaning of the derivative, as well as their connection to engineering problems.

PREREQUISITE COURSES
-

COURSE LEARNING OUTCOMES
1. Distinguish and use types of numbers, their representations, and arithmetic operations with them.
2. Apply the coordinate system (in the plane, in space and in higher dimensions) and the basic mathematical constructions associated with it: vectors, matrices, systems of linear equations.
3. Use elementary functions, distinguish their graphs, and interpret the corresponding relationship between dependent quantities.
4. Master the concept of the derivative and its physical and geometric interpretation, and apply it in solving and modelling practical problems.
5. Actively use the relevant basic procedures in the MATLAB or GNU Octave programming language.

LEARNING OUTCOMES OF THE STUDY PROGRAM TO WHICH THE LEARNING OUTCOMES OF THIS COURSE CONTRIBUTE
1. Analyse chemical data and information using computers
2. Apply techniques and methods for measuring chemical quantities, properties or changes
3. Interpret the results of laboratory observations and measurements, their significance and their relation to the relevant theory
4. Use information technology
5. Organise independent work

COURSE CONTENT BY UNITS OR WEEKS
Lectures and seminars:
1. Real and complex numbers
2. Two-dimensional, three-dimensional and n-dimensional real vector spaces.
3. Representation of some transformations of the plane and space - the concept of a matrix and a linear operator.
4. Matrix algebra. Inverse matrix. Determinant.
5. Dot product, cross product and scalar triple product of vectors.
6. Systems of linear equations and their solution.
7. The concept and the geometric and physical meaning of eigenvalues and eigenvectors (optional content)
8. The concept of a function, its graph and the inverse function.
9. Elementary functions. Functions important in applications.
10. The concepts of a sequence, the limit of a sequence, a series and the limit of a function.
11. The concept of the derivative, its geometric and physical meaning.
12. Properties of derivatives. Derivatives of elementary functions.
13. Linear approximation, quadratic approximation and Taylor series.
14. Decrease, increase, local extrema, convexity, concavity, inflection points and their physical meaning.
15. Analysing the behaviour of functions using derivatives.

MODES OF INSTRUCTION
- Lectures
- Seminars and workshops

STUDENT OBLIGATIONS
Attending and following classes, mastering the material covered, and solving the assigned problems.

MONITORING OF STUDENTS' WORK
- Class attendance
- Class participation
- Written exam
- Continuous assessment
- Practical work

GRADING AND ASSESSMENT DURING CLASS AND ON THE FINAL EXAM
- Midterm exam 1 - theoretical and seminar part. Maximum 25 + 25 points, with a minimum of 5 points on each part required to pass.
- Midterm exam 2 - theoretical and seminar part. Maximum 25 + 25 points, with a minimum of 5 points on each part required to pass.
- Class participation. Maximum 10 points, 5 in lectures and 5 in seminars.
- Computer seminar in the MATLAB or GNU Octave programming language. Maximum 10 points.
- Exam - theoretical and seminar part. Maximum 50 + 50 points, with a minimum of 10 points on each part and 33 points in total required to pass.

Grades:
- 60 - 69 sufficient (2)
- 70 - 79 good (3)
- 80 - 89 very good (4)
- 90 - 120 excellent (5)

MANDATORY LITERATURE
- Gusić, I., Jerković, M., teaching materials, Matematika 1 - predavanja (Mathematics 1 - Lectures), 2022. (Course website - FKIT)
- Adlešić, T., teaching materials, Matematika 1 - seminari (Mathematics 1 - Seminars), 2024. (Course website - FKIT)

QUALITY ASSURANCE METHODS THAT ENSURE THE ACQUISITION OF OUTPUT KNOWLEDGE, SKILLS AND COMPETENCES
Student survey, pass rate analysis
Learning outcomes:
Literature:
1. semester
Mandatory course - Regular studij - Applied Chemistry
Consultations schedule:
  • For consultation hours, please contact the course lecturers.