MABY4400 Structural Analysis and Design Emneplan

This course aims to provide students with an understanding of how data and statistical analysis can improve economic, managerial and business decision making. Students will learn how to develop empirical questions, collect and organize relevant quantitative data, apply appropriate statistical methods, and ultimately, make better business and policy decisions. The course will draw on a wide range of business and economic applications, such as finance, advertising, internet retailing, and human resources.

The exam papers will be assessed by an internal and an external examiner. A selection of at least 25% of the exam papers will be assessed by two examiners. The grades awarded to exam papers assessed by the external and internal examiner will be used to determine the level of all exam papers.

No prerequisites.

• Knowledge: The student has
  • A theoretical understanding of quantitative methods for analyzing data
  • An understanding of the role of empirical evidence in evaluating economic, managerial, and business problems
  • An understanding of the strengths and weaknesses of different statistical methods
• Skills: The student can
  • Formulate empirical questions
  • Gather, obtain, and organize quantitative data
  • Conduct statistical analysis using software
  • Interpret statistical results
• General Competence: The student can
  • Think critically and understand the role of assumptions in arguments
  • Communicate effectively about economic, managerial, and business issues
  • Develop a well-organized argument that states assumptions and hypothesis, which are supported by evidence
  • Use and appropriately cite different data sources

The teaching consists of lectures, exercises (written assignments or computer-based assignments) and project work. The exercises are linked to the topics taught. The project assignment is to be carried out in groups of 2-3 students and concerns FEM analysis and design of a structure. The report forms part of the assessment for the grade awarded for the course. Detailed guidelines for the project assignment will be published in Canvas.

There will be five problem sets. Problem sets may be submitted individually or in groups of up to four students. All five problem sets must be approved before the student can take the final exam. If a problem set is not approved on the first attempt, the student will be allowed to re-submit the problem set once. Further information regarding submission and due dates will be provided during the semester.

An individual, written 4-hour exam will be held at the end of the semester.

A list of reference aids allowed will be published on our website.

A grade scale with grades from A to E for pass (with A being the highest grade and E being the lowest pass grade) and F for fail is used in connection with the final assessment.

1) and 2): one internal examiner.

External examiners are used regularly