Functional Analysis 360-MS2-1AFa

Educational profile: general academic

Form of studies: full-time

Compulsory subject

Academic discipline: science and natural science, field of study in the arts and science: mathematics
Year of study: 1, semester: 2

Pre-props: none

lecture 30 hours exercises 30 hours

Didactic methods: lectures, calculating exercises, consultations, work on literature, solving homework, discussions in problem groups.

ECTS credits: 6

Balance of student workload:

participation in lectures15x2h = 30h

participation in exercises 15x2h = 30h

preparation for classes 15x2h = 30h

completing solving tasks started during the exercises and preparing notes at home after the classes (lectures, exercises) 7x2h = 14h

participation in consultations 7x3h = 21h

preparation for tests and participation in them 6 + 3x4h = 18h

preparation for the exam and participation in it 12h + 3h = 15h

Quantitative indicators

student workload related to classes requiring the direct participation of an academic teacher: 84 hours, 3 ECTS

student workload related to practical classes: 104 hours, 3 ECTS

Pursuant to § 9 of Order No. 31 of the Rector of the University of Białystok of April 11, 2025, the prohibited scope of use of AI systems in written works by students includes: 1) using AI systems in violation of the prohibition referred to in § 4 point 3, 2) using AI systems to a different extent or in a different manner than presented by the lecturer, 3) insufficient documentation of the use of AI systems, 4) automatic execution of the task in whole or in part by AI systems, 5) citing the results of the use of AI systems as a source of bibliographic information, 6) presenting the results of the use of AI systems as one’s own research conclusions.