Industrial Management

Mathematics & Statistics 3 (Optimization in Business and Engineering)

Integrated course, 4.00 ECTS


Course content

• Matrix calculation
• Linear optimisation
• Regression and correlation
• Statistical methods for data analysis (PCA, Clustering)
• Modelling and optimizing simple industrial processes (exact and heuristic methods, simulations)

Learning outcomes

The students are able to
• analyse implementation options, methods, solutions and strategies from applied mathematics
• solve mathematical problems in a technical and economic context
• present and interpret solutions
• apply the methods of logic, analysis, algebra, geometry, statistics and optimization.
• map and optimize industrial processes.
• apply the principles of exact solutions, heuristics and simulations.
• recognise mathematics as a modernday key technology.
• use the computer programmes Matlab and R to solve complex mathematical problems

Recommended or required reading and other learning resources / tools

• Papula: Mathematik für Ingenieure und Naturwissenschaftler: ein Lehr- und
Arbeitsbuch für das Grundstudium.
• Suhl/Mellouli: Optimierungssysteme : Modelle, Verfahren, Software,
• Benker: Mathematische Optimierung mit Computeralgebrasystemen,
Einführung für Ingenieure, Naturwissenschaftler und Wirtschaftwissenschaftler
• Brannath/Futschik: Statistik im Studium der Wirtschaftswissenschaften

The lecturer agrees to pass on an updated list of recommended literature to the students in accordance with the syllabus.

Mode of delivery

Integrated lecture

Prerequisites and co-requisites

Basic Mathematics

Assessment methods and criteria

Exam and continuous assessment