Course syllabus

Consequence Analysis - Focusing on the Environmental and Human Impact of Large Incidents
Konsekvensanalys - med fokus på miljö- och humanpåverkan av större olyckor

VBRA20, 9.0 credits, G1 (First Cycle)

Valid for: 2026/27
Faculty: Faculty of Engineering LTH
Decided by: PLED BI/RH
Date of Decision: 2026-04-09

General Information

Main field: Technology Depth of study relative to the degree requirements: First cycle, in-depth level of the course cannot be classified
Mandatory for: R2
Language of instruction: The course will be given in Swedish

Aim

The course will provide an introduction to the methods to calculate the consequences of different types of incidents, e.g. chemical accidents or fires. It will also provide an introduction to environmental toxicology and human toxicology, including relevant regulations. The course will begin with an introduction to fire chemistry and heat release from fires and explosions.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must

Judgement and approach
For a passing grade the student must

Contents

The course consists of lectures, computational tutorials, a computer laboratory and an assignment. During the lectures, extracts from the course literature will be discussed using theoretical review, example calculations and presentation of previous cases. The course will begin with an introduction to fire chemistry and heat release from fires and explosions.

The computational exercises and tutorials provide an opportunity for the students to independently solve assigned material with the support of teaching assistants.

In addition to the manual computation, computer-based computation models are also used. The students get to familiarise themselves with these during the computer laboratory in which given assignments are solved. The assignments are solved individually with the help of tutors.

Hand-in assignments constitute one part of the course. Details of the assignment are presented during the course and vary from year to year. These could include, e.g.

• Presentation of analysis of historic cases

• Presentation of the environmental impact of incidents and their mitigation

• Calculation of safety distances for different types of incidents.

• Assessment of the United Nations Sustainable Development Goals in relation to the Fire and Rescue Services and their work on large scale incidents.

Examination details

Grading scale: TH - (U, 3, 4, 5) - (Fail, Three, Four, Five)
Assessment: The examination is comprised of two parts (see description of course parts): - written exam - approved assignment submission/s, computer lab and seminar participation. The final grade is based on the results of written examinations. The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.

Modules
Code: 0123. Name: Consequence Analysis - Written Exam.
Credits: 6.0. Grading scale: TH - (U, 3, 4, 5). Assessment: The examination is given individually and consists of written exam consisting of both theory and problem solving questions. The final grade is based on the results of written examinations. The module includes: The course consists of lectures, computational tutorials, a computer laboratory and an assignment.
Code: 0223. Name: Assignment Submission/s, Computer Lab and Seminars.
Credits: 3.0. Grading scale: UG - (U, G). Assessment: The examination of the assignment submission/s is given groupwise. Examination of the computer lab and seminars is given individually. All parts of this course must be passed for the course points to be awarded. The module includes: The course consists of lectures, computational tutorials, a computer laboratory and an assignment submission/s.

Admission

Assumed prior knowledge: KOOA06 General Chemistry FAFA30 Physics: Electricity - Fluids
The number of participants is limited to: 60
Selection: Completed University credits for the program.
Kursen överlappar följande kurser: VBRA10 VBR230

Reading list

Contact

Course coordinator: Margaret McNamee, margaret.mcnamee@brand.lth.se
Course administrator: Linnéa Ekman, linnea.ekman@ebd.lth.se

Further information

Active participation in group work is mandatory. Each group member must be able to present and answer for the contents of the joint report. A student who does not meet the demands of active participation, or disregard their obligations, can be replaced to another group or failed by the examiner.


Generative AI may be used in a similar way as other tools used for gathering information. Using the resulting text, figure, code or similar created by a GAI tool is treated as deceptive and is treated as cheating. The use of GAI tools shall be stated in written material for examination. Recommendation on the use of GAI tools is presented on the course area on Canvas.