System and life cycle analysis
Course evaluation
The course evaluation is now closed
MX0132-10299 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for MX0132
Academic year 2023/2024
System and life cycle analysis (MX0132-10411)
2023-08-28 - 2023-10-30
Academic year 2022/2023
System and life cycle analysis (MX0132-10208)
2022-08-29 - 2022-10-31
Academic year 2021/2022
System and life cycle analysis (MX0132-10211)
2021-08-30 - 2021-11-01
Academic year 2020/2021
System and life cycle analysis (MX0132-10239)
2020-08-31 - 2020-11-01
Academic year 2019/2020
System and life cycle analysis (MX0132-10186)
2019-09-02 - 2019-10-31
Academic year 2018/2019
System and life cycle analysis (MX0132-10105)
2018-09-03 - 2018-11-11
Syllabus and other information
Syllabus
MX0132 System and life cycle analysis, 15.0 Credits
System- och livscykelanalysSubjects
Technology Environmental Science Environmental science TechnologyEducation cycle
Bachelor’s levelModules
Title | Credits | Code |
---|---|---|
Project and laboration | 7.5 | 0202 |
Exam | 7.5 | 0203 |
Advanced study in the main field
First cycle, has at least 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G2F)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
SwedishPrior knowledge
60 credits, including at least- 45 credits environmental science
- 7,5 credits chemistry
- 2,5 credits mathematics
Objectives
The course is aimed at giving an understanding of how scientific problems can be solved with various mathematical and systems and life cycle analytical methods. In particular, the student will learn how different types of environmental systems and processes can be modelled and analysed, and how to quantify the use of natural resources and their environmental impact from a life cycle perspective.
After completing the course, the student should be able to:
list and explain fundamental ideas, concepts and methods for problem solving
formulate and describe the development of a mathematical model for a realistic environmental problem
sketch how a problem solving project can be carried out
describe and use common modeling and simulation tools for environmentally complex systems, also including model fitting, sensitivity analysis and optimisation
describe different methods for analysis of how a process results in environmental load and natural resource use
describe and apply methods for quantification of the effects of uncertain and varying input data in energy and life cycle assessments.
Content
The course presents fundamental principles for problem solving with the aid of mathematical and systems analytical methods. Systems and models are central concepts, which will be discussed and applied to various environmental problems. Different types of models are presented and discussed in relation to when and how they are being used. The course also sketches how a plan for problem solving is devised and carried out.
A central part of the course consists of computer exercises in which the student will construct, simulate, and analyse different kinds of simpler models. Emphasis is also put on understanding the relation between system structure and behaviour. General techniques, such as model fitting, sensitivity analysis and optimisation are dealt with and practiced in the exercises.
Current issues relevant to the environment and sustainable development are reviewed and described from a system perspective. Various solutions are discussed as well as how the system / model can be influenced by different factors. The course also deals with energy analysis and quality aspects of energy. In addition, life cycle analysis (LCA) includes definition of purpose, system boundaries and functional unit, inventory (LCI), environmental impact assessment (LCIA), result interpretation and sensitivity analysis.
The course is conducted in the form of lectures, exercises, seminars and a project assignment on modeling where students will implement an LCA, including data collection, calculation of energy and environmental impact, as well as analysis of uncertainty and sensitivity.
Compulsory moments in the course are introduction to and presentation of the project assignment and seminars.
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
Approved written examination, approved laboratory exercises, and approved oral and written presentation of project- and seminar exercises. Approved participation in compulsary moments
If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Responsible department
Department of Energy and Technology
Further information
Litterature list
- Life Cycle Assessment: Quantitative Approaches for Decisions That Matter Författare: H. Scott Matthews, Chris T. Henrickson and Deanna H. Matthews [Life Cycle Assessment: Quantitative Approaches for Decisions That Matter] (https://www.lcatextbook.com/)
- System och Modell - En introduktion till systemanalysen Författare: Gustafsson, Lanshammar, Sandblad ISBN: 91-44-18551-0 [System och Modell - En introduktion till systemanalysen] (https://www.studentlitteratur.se/#9789144185514/System+och+modell) Kommentar: Denna kursbok är en grundbok, som kommer att kompletteras med utdelat material