PřF:JAM02 English for Mathematicians II - Course Information
JAM02 English for Mathematicians II
Faculty of ScienceSpring 2025
- Extent and Intensity
- 0/2/0. 2 credit(s). Type of Completion: z (credit).
- Teacher(s)
- Mgr. Eva Čoupková, Ph.D. (seminar tutor)
Mgr. Anna Bízková Doleželová (assistant)
Mgr. Daniela Dlabolová (assistant)
Mgr. Markéta Dudová, Ph.D. (assistant)
Mgr. Jana Kubrická, Ph.D. (assistant)
Mgr. Monika Ševečková, Ph.D. (assistant) - Guaranteed by
- Mgr. Eva Čoupková, Ph.D.
Language Centre, Faculty of Science Division – Language Centre
Contact Person: Lenka Pavlíková
Supplier department: Language Centre, Faculty of Science Division – Language Centre - Prerequisites
- The knowledge of English - B1 level CEFR
- Course Enrolment Limitations
- The course is only offered to the students of the study fields the course is directly associated with.
- fields of study / plans the course is directly associated with
- Algebra and Discrete Mathematics (programme PřF, N-MA)
- Applied Mathematics for Multi-Branches Study (programme PřF, B-FY)
- Applied Mathematics for Multi-Branches Study (programme PřF, B-GE)
- Applied Mathematics for Multi-Branches Study (programme PřF, B-GK)
- Applied Mathematics for Multi-Branches Study (programme PřF, B-CH)
- Applied Mathematics for Multi-Branches Study (programme PřF, B-MA)
- Applied Mathematics for Multi-Branches Study (programme PřF, N-AM)
- Applied Mathematics for Multi-Branches Study (programme PřF, N-MA)
- Applied Mathematics (programme PřF, N-APM) (2)
- Bioinformatics (programme PřF, B-BIC)
- Bioinformatics (programme PřF, N-BIC)
- Biomedical bioinformatics (programme PřF, B-MBB)
- Biomedical bioinformatics (programme PřF, N-MBB)
- Descriptive Geometry with a view to Education (programme PřF, B-GE)
- Descriptive Geometry with a view to Education (programme PřF, B-GK)
- Descriptive Geometry with a view to Education (programme PřF, B-CH)
- Differential equations and their applications (programme PřF, N-APM)
- Economics (programme ESF, N-MA)
- Epidemiology and modeling (programme PřF, B-MBB)
- Epidemiology and modeling (programme PřF, N-MBB)
- Financial and Insurance Mathematics (programme PřF, B-MA)
- Financial and Insurance Mathematics (programme PřF, B-MAT)
- Finance and insurance mathematics (programme PřF, N-APM)
- Finance Mathematics (programme PřF, N-MA)
- Geometry (programme PřF, N-MA)
- Chemistry with a view to Education (programme PřF, B-MA)
- Chemoinformatics and Bioinformatics (programme PřF, B-BCH)
- Laboratory and Measuring Technology (programme PřF, B-AF)
- Logics (programme PřF, N-MA)
- Mathematical Analysis (programme PřF, N-MA)
- Mathematical Biology (programme PřF, B-EXB)
- Mathematical Biology (programme PřF, N-EXB)
- Mathematical Modelling and Numeric Methods (programme PřF, N-MA)
- Mathematics - Economics (programme PřF, M-AM)
- Mathematics (programme PřF, B-MAT) (2)
- Mathematics (programme PřF, N-MAT)
- Mathematics with a view to Education (programme PřF, B-EB)
- Mathematics with a view to Education (programme PřF, B-FY)
- Mathematics with a view to Education (programme PřF, B-GE)
- Mathematics with a view to Education (programme PřF, B-GK)
- Mathematics with a view to Education (programme PřF, B-CH)
- Mathematics with a view to Education (programme PřF, B-IO)
- Mathematics with a view to Education (programme PřF, B-MA)
- Mathematics focused on teaching (programme PřF, B-UCM) (2)
- Mathematics with Informatics (programme PřF, N-MA)
- Modelling and Calculations (programme PřF, B-MA)
- Modelling and Calculations (programme PřF, B-MA, specialization Signal and Data Analysis)
- Modelling and Calculations (programme PřF, B-MA, specialization Economics)
- Modelling and Calculations (programme PřF, B-MA, specialization Economy and Finances)
- Modelling and computations (programme PřF, B-MAT)
- Modelling and Calculations (programme PřF, B-MA, specialization Computational Chemistry)
- Modelling and computations (programme PřF, N-APM)
- Mathematics (programme PřF, B-MA)
- Mathematics (programme PřF, B-MAT)
- Statistics and Data Analysis (programme PřF, B-MA)
- Statistics and data analysis (programme PřF, B-MAT)
- Statistics and data analysis (programme PřF, N-APM)
- Statistics and Data Analysis (programme PřF, N-MA)
- Upper Secondary School Teacher Training in Biology (programme PřF, N-UCB) (2)
- Upper Secondary School Teacher Training in Descriptive Geometry (programme PřF, N-MA)
- Teaching of Technical Drawing for Secondary Schools (programme PřF, N-UCD) (2)
- Upper Secondary School Teacher Training in Mathematics (programme PřF, N-EB)
- Upper Secondary School Teacher Training in Mathematics (programme PřF, N-FY)
- Upper Secondary School Teacher Training in Mathematics (programme PřF, N-CH)
- Upper Secondary School Teacher Training in Mathematics (programme PřF, N-MA)
- Upper Secondary School Teacher Training in Mathematics (programme PřF, N-SS)
- Teaching of Mathematics for Secondary Schools (programme PřF, N-UCM) (2)
- Course objectives
- After completing this course the student will be able to:
understand authentic mathematical texts/lectures
identify the main ideas
formulate the main ideas
interpret the information
discuss about general and mathematical topics
present simple mathematical topics using basic presentation techniques
summarize a simple mathematical text
classify
compare and contrast
identify causes and effects
describe a process
apply acquired skills to new topics - Learning outcomes
- After completing this course the student will be able to:
understand authentic mathematical texts/lectures
identify the main ideas
formulate the main ideas
interpret the information
discuss about general and mathematical topics
present simple mathematical topics using basic presentation techniques
summarize a simple mathematical text
classify
compare and contrast
identify causes and effects
describe a process
apply acquired skills to new topics - Syllabus
- Syllabus: language functions: comparing/contrasting cause-effect describing a process writing academic email giving a presentation creating a poster specialized vocabulary
- Literature
- Přehled doporučené literatury - viz informace učitele.
- The recommended literature - see the information of the teacher
- Teaching methods
- Listening exercises from audio and video sources with accompanying questions and ensuing discussion, reading comprehension of written texts dealing with popular science themes as well as specific scientific texts, formal letter writing, exercises in basic grammar within scientific content and style, analysis of word structure, word derivation, expansion of casual as well as scientific vocabulary, Latin roots of words, casual and scientific conversation,presentation practice.
- Assessment methods
- 80% active attendance is required each course is concluded with a credit test. The passing grade of the credit test is 60%. Presentation of a mathematical topic (5 mins) and a written task - academic email.
- Language of instruction
- English
- Follow-Up Courses
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
The course is taught annually.
The course is taught: every week. - Teacher's information
- https://is.muni.cz/auth/el/sci/jaro2022/JAM02/index.qwarp
Recommended literature: Houšková, Křepinská, Bubeníková: Rozšiřující materiály pro výuku anglického jazyka, Matfyzpress 2006. Effective presentation, J. Comfort, OUP 1995 Giving presentations, M. Ellis, N. O'Driscoll, Longman, 1997 Key Words in Science and Technology, Bill Mascull, Cobuild 1997
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/sci/spring2025/JAM02