I rok (I year)

Marketing, Business Studies

Full time, first cycle studies

1st semester

ECTS: 0982109007

Fundamentals of Physics and Chemistry

This course introduces the essential concepts, models, and research methods of physics and chemistry needed to understand natural phenomena and their applications in science and engineering.

Physics topics include:

• Classical physics: oscillatory motion, periodic and wave phenomena, electric and magnetic fields, conductivity, and material properties.

• Maxwell’s equations and electromagnetic waves in vacuum and matter.

• Introduction to modern physics and its role in current scientific and technological advances.

• Research tools and selected experimental methods.

Chemistry topics include:

• Basic chemical concepts and ideas, reaction types and mechanisms.

• Physical aspects of chemical processes and their relevance to everyday life.

Measurement and data analysis:

• Exact and approximate numbers, unit systems, and conversions.

• Errors and uncertainties in measurements, rounding and propagation of uncertainties.

• Statistical methods in metrology and handling experimental results.

• Measurement methods and static properties of measuring devices.

The course provides a foundation for understanding physical and chemical principles, while developing practical skills in measurement, analysis, and interpretation of scientific data.

• Lecture: 40
• Tutorials: 20
• Laboratory classes: 40

Materials for classes to machine learning for Mathematical Methods in Data Analysis in year 2025/2026

Basics of mathematical logic and set theory. Elementary functions - recalling and extension. Graphs, properties, a composed function, an inverse functions (cyclometric functions). Sequences of numbers - convergent/divergent sequences. The Euler number. Indefinite symbols. Differential calculus - limit of a function, continuous functions (a definition and properties), derivative of a function (rules of differentiation), the Rolle and the Lagrange theorems, derivatives of higher orders, the l'Hospital's rule, asymptotes of curves, detecting of graph properties of functions, optimization problems. Integral calculus - a primitive function, indefinite integral, methods of integration, definite integral (a definition, properties, necessary and sufficient condition of integrabiity, The Newton-Leibniz theorem), improper integral, applications of integral calculus. 

Podstawy informatyki dla studentów I roku kierunku Computer Science na IFE, jak w latach poprzednich.

Course on data collection and analysis.

Obligatory course for the BST (Eng, Fr) and ME field of study, new study programme 2025/26

Course code:
W1BSTS.11P.0199.25
W1MECS.11P.0113.25

Common course for 3 fields of study:
BET, BS, IB

ECTS codes: 01 31 0243 00,  01 31 0282 00,  01 31 0247 00

Przedmiot skierowany do studentów 2 sem. Digital Management, którego celem jest zapoznanie studentów z najważniejszymi aspektami dotyczącymi zarządzania zasobami ludzkimi we współczesnych  organizacjach