This course is designed in the style of
the Hungarian "TDK" system, allowing advanced undergraduates to
become acquainted with research methods in detail and
acquire additional knowledge beyond their obligatory curriculum.
(For a brief English description of the TDK system
see a relevant ELTE University
homepage.)
In this course, a student can choose from the topics/problems listed below and work with
other students and the professor to solve the given problem. All work is
summarized in two individual reports (as explained below) and
ideally a research paper, however that is not expected to achieve given the time constraints.
In addition, during the semester there will be opportunities
to present your work as well.
Participating in the research course may contribute to the successful beginning of a scientific career:
depending on level,
the results obtained can be presented at school, statewide or national
undergraduate meetings ranging from a local Undergradute Seminar at your
home school to
MAA's MathFest.
Papers may also be published in undergraduate research journals
such as
The Rose-Hulman Undergraduate Mathematics Journal,
Involve and
several others.
In some PhD programs, fruitful undergraduate
reserach activity is a prerequisite for admission.
Student research is supervised by professors. Research topics are offered
by them, but students can also propose topics of their own interest.
You can view
articles that were written under the auspices
of the BSM program
Professors evaluate progress and final enrollment decisions are made, based on the written summary (if available), oral presentation and work done during the first 2.5 weeks.
Please, note that some research groups may die out or be discontinued after the 3rd week, so plan accordingly. Also, the research class is the only class where a student wishing to take the course may not be able to, since it is at the discretion of the professor to let students become members of their research group.
Week 7 - Milestone 2: students receive "midterm evaluation grades" (MAG) and continuance is determined. Grading is done on an A-F scale.
The MAG depends on all work up to that point as well as a self/group evaluation sent out to all group members (individually). If necessary, each student may be required to submit a (relatively short) report on the work in progress to their professor. (Thus the report should include a eg description of the problem, as well as the methods used in tackling the it and a write-up of results, if any.)
Note that only students meeting each of the following
criteria may continue working on research after week 7 (all other students will have to drop research
or will receive an "Audit" for the course):
Week 13 - Milestone 3:: Work continues throughout the semester. At the 13th week each group should present their results at a "Preliminary report session" organized for all RES participants, their professors and everyone else interested.
Grading is done on an A-F scale.
Write up of results is continuous and oftentimes streches to after the semester is over.Description: Click here
Prerequisites: graph theory and combinatorics
Professor:Ervin Györi
Contact:gyori@renyi.hu
Qualifying problems: If you are interested in participating the research project, please send your
solutions to the above Qualifying Problems given here to the email address
given above, by the deadline, January 30th
Description: Click here.
Prerequisites: "We shall mostly use graph theoretic and combinatorial methods, so famil-
iarity with the basics of graph theory is useful. Depending on the problems,
in some cases geometric intuition is also useful, as well as familiarity with
elementary linear algebra."
Professor:Tibor Jordan
Contact:tibor.jordan@ttk.elte.hu
Qualifying problems:Solve at least four out of the "warm up exercises",
at the end of this document, by the deadline, Jan 30th.
Description: Click here.
Prerequisites: strong command of the python numerical libraries (numpy, scipy), linear
programming, familiarity with machine learning frameworks (scikit-learn, pytorch) or fast CPU
algorithm programming (C++, Rust, numba) is an advantage.
Professors and contact:
Adrián Csiszárik (csadrian@renyi.hu), Dániel Varga (daniel@renyi.hu), Pál Zsámboki
(zsamboki@renyi.hu) at
the Rényi Institute of Mathematics
Qualifying problem:See it
at the end of this document, submit by the deadline, Jan 30th.