Module MA1000-KP08, MA1000

Duration:

Turnus of offer:

Course of studies, specific field and terms:

• Minor in Teaching Mathematics, Bachelor of Arts 2023 (compulsory), mathematics, 3rd semester
• Bachelor CLS 2023 (compulsory), mathematics, 1st semester
• Bachelor MES 2020 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Media Informatics 2020 (compulsory), mathematics, 3rd semester
• Bachelor Computer Science 2019 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Robotics and Autonomous Systems 2020 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Medical Informatics 2019 (compulsory: aptitude test), mathematics, 1st semester
• Minor in Teaching Mathematics, Bachelor of Arts 2017 (compulsory), mathematics, 3rd semester
• Bachelor Computer Science 2016 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor CLS 2016 (compulsory), mathematics, 1st semester
• Bachelor IT-Security 2016 (compulsory), mathematics, 1st semester
• Bachelor Robotics and Autonomous Systems 2016 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Biophysics 2016 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Medical Informatics 2014 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor MES 2014 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Media Informatics 2014 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Computer Science 2014 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Medical Informatics 2011 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor Computer Science 2012 (compulsory: aptitude test), mathematics, 1st semester
• Bachelor MES 2011 (compulsory), mathematics, 1st semester
• Bachelor CLS 2010 (compulsory), mathematics, 1st semester

Qualification-goals/Competencies:

• Students understand the fundamental concepts of linear algebra.
• They understand basic thought processes and methods of proof.
• They can explain fundamental relationships in linear algebra.
• They can apply fundamental concepts and methods of proof to algebraic problems.
• They have an understanding of abstract thought processes.
• Interdisciplinary qualifications:
• Students have basic competency in modelling.
• They can transfer fundamental theoretical concepts to similar applications.
• They can work on elementary mathematics problems within a team.
• They can present elementary solutions to their problems to a group.

Grading through:

• written exam

Is requisite for:

• Linear Algebra and Discrete Structures 2 (MA1500-KP08, MA1500)

Responsible for this module:

• Prof. Dr. rer. nat. Jan Modersitzki

Teachers:

• Institute of Mathematics and Image Computing

• Prof. Dr. rer. nat. Jan Modersitzki
• Prof. Dr. rer. nat. Jan Lellmann

Literature:

• G. Fischer: Lineare Algebra: Eine Einführung für Studienanfänger - Vieweg+Teubner
• G. Strang: Lineare Algebra - Springer
• K. Jänich: Lineare Algebra - Springer
• D. Lau: Algebra und diskrete Mathematik I + II - Springer
• G. Strang: Introduction to Linear Algebra - Cambridge Press
• K. Rosen: Discrete Mathematics and Its Applications - McGraw-Hill

Language:

• offered only in German

Notes:

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- Successful completion of homework assignments during the semester
- Successful completion of e-tests during the semester
- Presentation of homework assignment

Module exam:
- MA1000-L1: Linear Algebra and Discrete Structures 1, written exam, 90 min, 100 % of module grade

Letzte Änderung: