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.

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.