Syllabus

Title
0702 Analysis and Linear Algebra
Instructors
Dr. Andrea Wagner
Contact details
  • Type
    PI
  • Weekly hours
    4
  • Language of instruction
    Englisch
Registration
09/16/21 to 09/19/21
Registration via LPIS
Notes to the course
Subject(s) Bachelor Programs
Dates
Day Date Time Room
Monday 10/11/21 02:00 PM - 04:30 PM Online-Einheit
Thursday 10/14/21 02:00 PM - 04:30 PM TC.2.03
Monday 10/18/21 02:00 PM - 04:30 PM Online-Einheit
Thursday 10/21/21 02:00 PM - 04:30 PM TC.5.15
Monday 10/25/21 02:00 PM - 04:30 PM Online-Einheit
Thursday 10/28/21 02:00 PM - 04:30 PM TC.2.03
Thursday 11/04/21 02:00 PM - 04:30 PM TC.2.03
Monday 11/08/21 02:00 PM - 05:00 PM Online-Einheit
Thursday 11/11/21 03:00 PM - 06:00 PM TC.0.02 Red Bull
Monday 11/15/21 02:00 PM - 05:00 PM Online-Einheit
Thursday 11/18/21 02:00 PM - 04:30 PM TC.4.03
Thursday 11/18/21 04:30 PM - 06:00 PM TC.5.03
Monday 11/22/21 02:00 PM - 04:30 PM Online-Einheit
Thursday 11/25/21 02:00 PM - 04:30 PM Online-Einheit
Monday 11/29/21 02:00 PM - 04:30 PM Online-Einheit
Thursday 12/02/21 02:00 PM - 04:30 PM Online-Einheit
Monday 12/06/21 02:00 PM - 05:00 PM Online-Einheit
Thursday 12/09/21 03:00 PM - 06:00 PM Online-Einheit

Contents

After attending this session and studying its contents thoroughly students should be able to define the following concepts, to comprehend the concepts and explain their meaning, to state and explain the main results and to solve problems by applying the concepts.

  • Basic calculus and algebra
  • Linear algebra
  • Multivariate calculus
  • Static optimization

Learning outcomes

After completing this course the student will have the ability to:

  • Describe, explain, and work with the basic concepts and definitions of linear algebra, one- and multivariable analysis, topology, static optimization.
  • Organize and integrate ideas and information from analysis and linear algebra.
  • Solve applied problems where skills are required from analysis and linear algebra.


Attendance requirements

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20% (no matter if excused or not excused).

In consultation with the participants, the course can take place online or at campus.
The exams will take place at campus in any case.

Teaching/learning method(s)

The course is taught as a lecture accompanied with weekly tutorials. The lectures are aimed at providing the theoretical framework, while the tutorials help students to comprehend the key ideas of the lectures. The tutorials are based on the week’s lecture and include relevant mathematical problems that have to be solved and discussed. Students present prepared problems (exercises as homework) and work on new ones in the class.

Assessment

  • 20% weekly tutorials, presentation of problems, homework
  • 40% midterm exam and 40% final exam

There will be no opportunity to retake the exams.

 

Readings

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Recommended previous knowledge and skills

  • Necessary: Successful admission to the Spezialisierung Wirtschaftsmathematik.
  • Advantageous: Ability to work with mathematical concepts such as: Basic set theory, convergence of sequences and functions, linear mappings and matrices, integration, derivative.


Availability of lecturer(s)

andrea.wagner@wu.ac.at

 

Other

Further reading:

The books from "Schaum´s Outline Series"  contain short but self-contained reviews of the mathematical concepts and a large collection of problems with solutions. Hence they are an ideal source for additional exercises.

Last edited: 2021-09-30



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