Mathematics & Statistics 1 (Basics in Business & Engineering)

Course content

Students gain a basic knowledge of mathematics to explain technical and economic basic principles at an academic level
• Basics such as numbers and numeric systems
• Functions and curves
• Composing function graphs with Excel, Matlab
• Differential equations - basics
• Differential equations - economic and technical applications
• Common differential equations - numerical solution methods with Matlab

Learning outcomes

The students are able to:
• show fields of application, methods and problem solving strategies in the field of applied mathematics (analysis, structured thought processes, arguments and proofs).
• solve mathematical assignments from technical and economic problems
• interpret solutions
• apply logic, analysis, algebra, geometry and statistics
• recognise mathematics and a contemporary key competence and technology

Recommended or required reading and other learning resources / tools

Books:
• Papula: Mathematik für Ingenieure und Naturwissenschaftler: ein Lehr- und Arbeitsbuch für das Grundstudium.
• Becker: Numerische Mathematik für Ingenieure
• Bortz: Statistik für Human- und Sozialwissenschaftler
• 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.
Journals:

Mode of delivery

Integrated lecture

Prerequisites and co-requisites

none

Assessment methods and criteria

Exam and continuous assessment