110391 Guided Research Applied and Computational Mathematics

Course offering details

Instructors: Prof. Dr. Tobias Preußer

Type: Seminar

Org-unit:

Course Name Abbreviation: GR ACM I

Hours per week: 3

Credits: 7.50

Min. | Max. participants: - | -

Partial Grades:
Final Grade

Official Course Description:
Guided Research allows study, typically in the form of a research project,
in a particular area of specialization that is not offered by regularly scheduled courses. Each
participant must find a member of the faculty as a supervisor, and arrange to work with him or
her in a small study group or on a one-on-one basis.
Guided research has three major components: Literature study, research project, and seminar
presentation. The relative weight of each will vary according to topic area, the level of
preparedness of the participant(s), and the number of students in the study group. Possible research
tasks include formulating and proving a conjecture, proving a known theorem in a novel
way, investigating a mathematical problem by computer experiments, or studying a problem of
practical importance using mathematical methods.
Third year students in Mathematics and ACM may take two semesters of Guided Research.
The Guided Research report in the spring semester will typically be the Bachelor Thesis which
is a graduation requirement for every undergraduate. Note that the Bachelor Thesis may also
be written as part of any other course by arrangement with the respective instructor of record

Literature
Primary Text
Required Reading (To view a list click a category.)
Recommended Reading (To view a list click a category.)
Appointments
Date From To Room Instructors
1 Tue, 2. Dec. 2014 15:30 18:30 East Hall 4 Prof. Dr. Tobias Preußer
2 Th, 4. Dec. 2014 15:30 18:30 East Hall 8 Prof. Dr. Tobias Preußer
Course specific exams
Description Date Instructors Mandatory
1. Final Grade No Date No
Contained in course catalogues
Course catalogue
Course Catalogue > Engineering and Science > Mathematical Sciences > Undergraduate Level Courses
Class Session Overview
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Instructors
Prof. Dr. Tobias Preußer