MABY4200 Building Physics and Climate Adaptation of Buildings Course description

None.

After completing the course, students will acquired the learning outcomes defined in knowledge, skills and general competence

Knowledge

The student

• in-depth knowledge and understanding of how models are used in the social sciences

Skills

The student is capable of

• formulating issues and research questions, searching for relevant literature and applying theory in a reflected manner
• relating research questions and context to choice of method and analysing data to answer research questions
• planning and carrying out the empirical part of a master¿s thesis in the field of organisation and management
• carrying out an independent, limited research project in the form of a master's thesis in his/her field under supervision and in accordance with applicable research ethical standards;

Varied forms of teaching will be used, with a combination of lectures, guest lectures, class discussions, project assignment and student presentations. A series of exercises intended to familiarise students with the different steps involved in research work is a key element of the course. These exercises are designed to enable students to assess, plan and carry out empirical studies.

In order to be able to register for the exam, the student must have the following approved work requirements:

Three compulsory exercises to be submitted in writing, each with a scope of up to five pages. Each of the three submissions must be presented to the class and there is compulsory participation at these seminars. If the assignment handed in is not approved, the student will be given one opportunity to submit an improved version. The lecturer will inform students of deadlines for submission.

A project description, i.e. a plan for a potential research project, for example in preparation for the master's thesis. The project description is individually or in groups of maximum three;students. The project description must have a scope of 10-15 pages.;The projec description counts for 60% of the grade awarded for the course.

A written four-hour exam.;The exam;counts for 40% of the grade awarded for the course.

Pass grades must be awarded both for the project description and for the written exam in order to pass the course.;If a student has to resit the exam, he/she can retake each part separately. It is not necessary to take both parts.

All reference aids are allowed while working on the project description as long as the rules for source references are followed.

Written exam: No reference aids are allowed.

The course includes training in statistical methods used for the processing of measurement data, handling sources of error, calculating probability and estimating measurement uncertainty. Furthermore, an introduction will be provided into regression analysis and methods for calibration and quantification, hypothesis testing and variance analysis. Emphasis will be placed on showing the application of statistical theory through examples and statistical problems. The course also includes definitions and discussions of basic concepts in risk management. The course gives the students basic knowledge and an understanding of quality control and quality assurance through, amongst other things, the application of knowledge acquired in statistics and risk management.

Admission requirements.

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

Knowledge

The student is capable of explaining:

• probability, probability calculation and probability distribution
• basic statistical processing of measurement data
• confidence and significance, confidence intervals and hypothesis testing, variance analysis
• errors and uncertainty, error accumulation and uncertainty estimates
• calibration and calibration curves
• what a risk assessment is, how a risk assessment is conducted, common methods used and how risk assessment is used in risk management
• quality control and quality assessment principles

Skills

The student is capable of:

• assessing uncertainty and sources of error in measurement results
• using statistical methods to interpret and quality check measurement results
• performing risk assessments of various problems and interpreting and presenting the results of the analysis as a contribution to decisions concerning risk and quality

General competence

The student:

• has basic insight into quality assessments and requirements
• has knowledge of how accuracy and precision in measurement results are affected by sources of error and uncertainty in instrumentation, procedures and work techniques
• has insight into statistical methods for the processing and interpretation of measurement data
• has a basic understanding of ethical issues relating to risk assessment, the use of risk acceptance criteria and how risk assessments can be used and abused

An introduction to theory of science

The research process from A to Z:

• Topic and research question
• Literature searches
• Use of models
• Design
• Obtaining data
• Analysis and interpretation
• Forms of validity
• Ethics
• Reporting and presentation

Qualitative data

• Sampling
• Interviews
• Analysis and validity

Quantitative methods

• The survey method
• Using secondary data
• Analysis in brief