SubjectsSubjects(version: 990)
Course, academic year 2025/2026
   
Russian Language IV - JTB161
Title: Russian Language IV
Czech title: Ruština IV
Form of teaching: practicals
Guaranteed by: Department of Russian and East European Studies (23-KRVS)
Faculty: Faculty of Social Sciences
Actual: from 2024
Duration in semesters: 1
Semester: summer
E-Credits: 6
Examination process: summer s.:combined
Hours per week, examination: summer s.:0/3, Ex [HT]
Capacity: unknown / 13 (10)
Maximum number of enrolled students: 10
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English
Teaching methods: full-time
Repeated enrollment: 2 / 2 / 1 / 2
Note: course can be enrolled in outside the study plan
enabled for web enrollment
priority enrollment if the course is part of the study plan
Guarantor: Olesya Shvedova
Teacher(s): Olesya Shvedova
Class: Courses not for incoming students
Pre-requisite : JTB160
Annotation -
During this course the emphasis is placed on the spoken language and on fixing burning grammar problems of every student. Students will develop all their language skills (reading, writing, speaking and listening), they are also led to the correct pronunciation. They will increase their vocabulary. They will go through all the things they already know, study the nuances of the imperative mood as well as of perfective and imperfective aspects, will read and write many texts.
Last update: Bartůšek Jaroslav, Bc. (05.02.2026)
Aim of the course

In the first year students develop especially their comprehending and speaking skills. Emphasis is not placed on grammatical structures.
After passing students should understand everyday communication situations and be able to respond to them.
The second year will be more focused on grammar system (according to current needs of students). Students develop their reading and writing skills.

Last update: Vykoukal Jiří, doc. PhDr., CSc. (19.02.2024)
Course completion requirements

According to the Dean's provision, the teacher evaluates the student's performance in the percentages assigned to grades A to F (https://fsv.cuni.cz/opatreni-dekanky-c-20/2019):

  • 91% and more   => A
  • 81-90%             => B
  • 71-80%             => C
  • 61-70%             => D
  • 51-60%             => E
  • 0-50%               => F

More in SMĚRNICE S_SO_002: Organizace zkouškových termínů, kontrol studia a užívání klasifikace A–F na FSV UK.

Last update: Vykoukal Jiří, doc. PhDr., CSc. (19.02.2024)
Literature

Poechali! : russkij jazyk dlja vzroslych; načalnyi kurs = Allons-y! = Let?s go! = Los geht?s! Č. 1 Načalnyj kurs.
Sankt-Peterburg, "Zlatoust", 2009.

Last update: Vykoukal Jiří, doc. PhDr., CSc. (19.02.2024)
Teaching methods

face-to-face classes

prezenční výuka

Classes are conducted in Russian and English.
Methods of students work in the classes: individual, in pairs, groups, individual and group research or presentation.

Use of generative AI tools:

The use and citation of generative AI tools (such as ChatGPT or MS Copilot) in seminar papers and other coursework must comply with the decrees of the IMS Director No. 7/2023 and 9/2023.

Generative AI tools may be used unless explicitly prohibited by the instructor. However, they may not be used to generate substantial sections of the text or replace the student’s own intellectual contribution. The student remains fully responsible for any content generated with assistance of AI tools.

Presenting AI-generated content, whether verbatim, rephrased, or only slightly modified, as one’s own work constitutes plagiarism.

Every submitted paper must include a transparent statement specifying which generative AI tools were used, in which stage of the work they were employed, and how they were used, or confirming that no generative AI tools were used. If this statement is missing or incomplete, the instructor is not permitted to accept the paper for evaluation.

Unless the instructor explicitly prohibits the use of generative AI tools, the decision to use or not to use them rests fully with the student. The student has the right to request that the instructor does not use AI assistance for evaluating their work.

Last update: Hojný Matouš (06.01.2026)
Course assessment methods and requirements for successful completion, grading scheme

Grades will be based on:
Midterm test
Final test
Presentation
Class participation

Last update: Vykoukal Jiří, doc. PhDr., CSc. (19.02.2024)
Syllabus

The syllabus proceeds from the textbook.

1. Plural
2. Pronouns

Last update: Bartůšek Jaroslav, Bc. (05.02.2026)
 
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