Master
2022/2023
Mentor's Seminar
Type:
Compulsory course (Master of Computer Vision)
Area of studies:
Applied Mathematics and Informatics
Delivered by:
Department of Applied Mathematics and Informatics
When:
1 year, 1-4 module
Mode of studies:
offline
Open to:
students of one campus
Instructors:
Andrey Savchenko
Master’s programme:
Master of Computer Vision
Language:
English
ECTS credits:
3
Contact hours:
8
Course Syllabus
Abstract
Designing an individual educational trajectory together with an academic mentor, formulating the direction of research activities and the topic of a term paper. Correction of the plan, the subject of the course work in accordance with the progress of the student along the educational trajectory.
Learning Objectives
- To help students of the educational program "Master of computer vision" to design the direction of research activities and the topic of a term paper.
Expected Learning Outcomes
- to know the current state of scientific research in the chosen narrow field of knowledge
- be able to work with scientific literature on the chosen research topic
- know the main methods and ways of presenting research and development results in the form of reports and reports
- An individual curriculum has been formed
- is able to justify the relevance, problems and significance of the study
Course Contents
- Structure of "Master of computer vision program", expectations of scientific work
- Individual curriculum as a tool for achieving educational goals
Interim Assessment
- 2022/2023 4th module0.5 * Final thesys desicion + 0.5 * Presentation
- 2023/2024 4th module0.5 * Final thesys desicion + 0.5 * Presentation
Bibliography
Recommended Core Bibliography
- Academic Writing Skills 3, Student's Book, 140 p., Chin, P., Reid, S., Wray, S., Yamazaki, Y., 2014
- How to write a lot : a practical guide to productive academic writing, Silvia, P. J., 2019
Recommended Additional Bibliography
- Bailey, S. (2017). Academic Writing : A Handbook for International Students (Vol. Fifth edition). London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1650435