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Course, academic year 2023/2024
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Seminar for MSc. and Ph.D.-students 1 - NTIN091
Title: Diplomový a doktorandský seminář 1
Guaranteed by: Department of Theoretical Computer Science and Mathematical Logic (32-KTIML)
Faculty: Faculty of Mathematics and Physics
Actual: from 2023
Semester: winter
E-Credits: 3
Hours per week, examination: winter s.:0/2, C [HT]
Capacity: unlimited
Min. number of students: unlimited
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: English, Czech
Teaching methods: full-time
Teaching methods: full-time
Additional information: https://ktiml.mff.cuni.cz/~fink/teaching/doctoral_seminar/
Note: you can enroll for the course repeatedly
Guarantor: RNDr. Jiří Fink, Ph.D.
Class: DS, teoretická informatika
Informatika Mgr. - volitelný
Classification: Informatics > Informatics, Software Applications, Computer Graphics and Geometry, Database Systems, Didactics of Informatics, Discrete Mathematics, External Subjects, General Subjects, Computer and Formal Linguistics, Optimalization, Programming, Software Engineering, Theoretical Computer Science
Annotation -
Last update: T_KTI (31.03.2008)
This seminar is allocated to MSc.-students and Ph.D.-students of the doctoral study branch I1 - Theoretical Computer Science. The goal of this advanced seminar is to get acquaint with the latest developments in the field of theoretical computer science. The contents of the seminar is the research and study of current journal articles and monographs, but we also expect both the MSc.-students and Ph.D.-students to present talks on their own results achieved so far.
Aim of the course -
Last update: RNDr. Jiří Fink, Ph.D. (04.11.2019)

Prepare students for scientific work: reading and writing papers, presenting results on lectures and conferences, preparing and managing grants.

Course completion requirements -
Last update: RNDr. Jiří Fink, Ph.D. (13.05.2022)

Passing conditions are submitting GAUK project and attendance on the seminar.

The nature of this course excludes repetitive attempts to obtain the credits.

Literature -
Last update: T_KTI (31.03.2008)

1. Actual papers from:

Aritificial Intelligence (Elsevier), IEEE Transactions on Neural Networks, IEEE Transactions on Parallel and Distributed Systems, Journal of Algorithms (Elsevier), Machine Learning (Springer-Verlag), Neural Networks (Elsevier), SIAM Journal on Computing, SIAM Journal on Discrete Mathematics and others.

2. Alley, M.: The Craft of Scientific Writing, 3rd Edition, Springer-Verlag, 1996

3. Bloom, D.: The Ph.D. process: a student´s guide to graduate school in the sciences, Oxford University Press, New York, 1998

4. Šesták, Z.: Jak psát a přednášet o vědě, Academia, 2000 (in Czech)

Syllabus -
Last update: RNDr. Jiří Fink, Ph.D. (13.05.2022)

This seminar is allocated to MSc.-students and Ph.D.-students. Throughout the seminar, we also plan to discuss common problems relevant (in particular) for Ph.D.-students, for example available sources of information, proposals of own research projects, possibilities for studies abroad etc.

 
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