MASK2300 Structural Mechanics and Finite Element Analysis Course description

All aids are permitted, provided the rules for plagiarism and source referencing are complied with.

For the oral exam, students will not have access to computers or other aids.

The course is organized as a series of lectures, seminars and guest lectures that cover the main theories.

Grade Scale A-F.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

• knows the theory underlying the analysis and design of machines
• has insight into and can apply the finite element method

Skills

The student is capable of

• using a 3D modelling tool to design a load-bearing frame structure
• using a calculation program to perform structural analysis and design calculations
• modelling a mechanical system with 2D and 3D models with the help of FEM software
• performing strength calculations and calculations of serviceability limit state, as well as simple troubleshooting, using FEM software
• preparing reports for the presentation of analysis results

Gereral competence

The student is capable of

• designing and performing a structural analysis of a load-bearing frame structure
• building models and performing calculations using a modern 3D design tool
• cooperating and communicating with others in a project group, and documenting the group’s work

Lectures, exercise assignments and project assignment.

The following coursework is compulsory and must be approved before the student can take the exam:

• One project assignment carried out in groups, with 3-6 students per group.
• Five individual exercises. Number of pages: 10 - 100

A three-hour individual written exam.

The exam result can be appealed.

In the event of a resit or rescheduled exam, an oral examination may be used instead. In case an oral exam is used, the examination result cannot be appealed.

Information and communication technology (ICT) serves as a central enabler and driving force behind globalisation processes. As global dynamics evolve, the ICT field continuously adapts, fostering more nuanced understandings of culture and innovative methodologies for exploring, analysing, and engaging with these complexities. This course provides an in-depth exploration of cultural differences and dimensions shaped by ICTs, equipping students with essential knowledge and skills in areas such as cross-cultural collaboration, innovative thinking, knowledge-sharing, and conflict resolution. These competencies will prepare students to navigate and contribute effectively to a globalised, interconnected future.

No formal requirements over and above the admission requirements.

A student who has completed this course should have the following learning outcomes, defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student has:

• advanced knowledge of cultural differences and dimensions related to artificial intelligence, data privacy, data security, information security, cybersecurity, and universal design
• advanced knowledge of how the world changes constantly and how these changes can develop new methodologies for exploring, understanding, and analyzing cultural differences and dimensions
• advanced knowledge of technology, best practices and development processes for information and communications technology (ICT) solutions
• advanced knowledge of analysing the cultural conditions and perspectives that lead to communication gaps and digital divides.

Skills

On successful completion of this course the student can:

• carry out necessary analysis and testing across cultures
• design culturally neutral prototypes
• use knowledge of different cultures and group dynamics to communicate, collaborate and resolve conflicts, now and in the future
• act objectively when carrying out evaluations and have knowledge about their own impact on processes and results.

General competence

On successful completion of this course the student can:

• analyse and understand academic, professional and ethical issues related to accessibility in diverse cultures
• apply knowledge and skills in artificial intelligence, data privacy, data security, information security, cybersecurity and universal design of information and communications technology (ICT) to solve accessibility challenges in diverse cultures
• provide comprehensive independent study and master expressions and terms in the field
• contribute to cross-cultural collaboration, new thinking, knowledge-sharing and innovation processes.