Postgraduate course
2024/2025



Postgraduate seminar
Type:
Compulsory course
Delivered by:
Big Data and Information Retrieval School
When:
1 year, 1, 2 semester
Open to:
students of one campus
Language:
English
Course Syllabus
Abstract
At the seminar, graduate students regularly make reports on the results of their dissertation research, and also act as reviewers of the reports of their colleagues.The seminar format allows you to keep abreast of the research being conducted by graduate students and monitor their progress. The format will also allow graduate students to look critically at other people's work and delve deeper into their topic in order to answer the reviewers' questions
Learning Objectives
- The purpose of the seminar is to teach graduate students to correctly present their research to colleagues from the community, to confidently answer questions from colleagues, and also to teach them to critically evaluate the research of other colleagues and write reviews of their work.
Expected Learning Outcomes
- To make a report on the work done on the dissertation.
- Each PhD student must act as a reviewer at a graduate seminar at least 5 times in a year.
Interim Assessment
- 2024/2025 2nd semesterThere is no final grade. As a result, graduate students receive a pass or fail.
- 2025/2026 2nd semesterThere is no final grade. As a result, graduate students receive a pass or fail.
- 2026/2027 2nd semesterThere is no final grade. As a result, graduate students receive a pass or fail.
Bibliography
Recommended Core Bibliography
- Edward K. Blum, Alfred V. Aho. Computer Science (2011), Springer
Recommended Additional Bibliography
- Ronald L. Graham, Donald E. Knuth, & Oren Patashnik. (1994). Concrete Mathematics : A Foundation for Computer Science. [N.p.]: Addison-Wesley Professional. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1601594