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Our Profile
“An integrated foundation in pure and applied mathematics
enhanced by an environment in which students have everyday close
contact to active professional mathematicians.”
Didactic Principles
- We teach pure mathematics in modern high level applied
contexts.
Examples: Clean discussion of Linear Algebra embedded into
ubiquitous linearization techniques in applications; integral
transforms and communications engineering; probability theory and
finance; Hilbert space methods and finite elements in computational
engineering.
- “Top down” trumps “bottom up”!
Although much of the historical development of mathematics was
driven by the desire to build theories bottom up from first
principles, this is not a useful didactical concept, not does it
reflect the way most research mathematicians work.
- Learn by immersion:
It is important to learn by discussing mathematics on a formalized
regular basis with an active mathematician. This is very analogous
to study at a music conservatory. Lectures augment this, not vice
versa.
- Learn to interact:
Discuss with mathematicians and those who apply mathematics alike.
Appreciate the complexity of mathematics in the real world, and
understand that math is everywhere!
Jacobs University - small and focused
- Small classes:
Each year, about 20 students will be studying mathematics at Jacobs
University. This allows for and one-on-one interaction with
faculty, focused study, early research, and a holistic development
of mathematical and personal skills.
- Interdisciplinary spirit:
At Jacobs, there is a lot of mathematics and mathematical modeling
across campus. Links are close and personal between faculty,
students, and research staff in different fields that work together
on common goals.
- We care about each and everyone:
Students at Jacobs are are known personally to faculty. Individuals
can and will get help to develop special interests, but also in
time of special needs.
Overall goals
- Graduates who think clearly, formulate cleanly and present
well.
- Graduates with the ability to figure out what is known, what is
not known and what is the problem.
- Graduates who are confident in aquiring, understanding, und
organizing information.
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A session of Analysis II in Spring 2014.
Old and new technology.
Prof. Ivan Penkov is discussing with students in the Mathematics
Lounge.
Students on the campus green.
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