Study Guide

Objective

In computational assisted engineering problem solving

The student is able to apply:
- Principles of programming to solve simple engineering problems
- Geometric principles for computational modelling

The student is able to plan and execute:
- Simple computational tools to solve typical engineering problems

Content

Applied Principles of Programming
- Basics of algorithms
- Values, types, and operators
- Functions and control flow
- Data structures
- Program structure
- Functions

Applied Principles of Computational Geometry
- Basics of vector mathematics and linear algebra
- Planes and coordinate systems, points, lines, and curves, surfaces, and solids
- Boolean operations in constructive solid geometry

Applied Algorithmic Assisted Design and Computational Problem Solving
- Case study in computational structural design and optimization
- Case study in project data management

Innovation and Future Trends
- Emerging technologies in computational structural engineering (AAD, BIM, digital twins, IoT, etc.)
- The role of computation, automation and artificial intelligence in structural engineering
- Future proofing structural engineering though computation

Assessment criteria, approved/failed

Approved exercise work, assessed in scale approved (-failed). The assignments are given in writing. The course requires active attendance and participation in lectures at Campus

Evaluation scale

Approved/Rejected

Assessment criteria, approved/failed

Approved exercise work, assessed in scale approved (-failed). The assignments are given in writing. The course requires active attendance and participation in lectures

Qualifications

At least third year student for bachelor degree in Structural Engineering with at least 120 ECTS in Engineering studies