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Master Thesis

Course developer

Course abstract

The structure and processing of scientific work is discussed. Description and analysis of experimental works as well as selection and argumentation of mathematical models is discussed consistent with Masters' work. The skills of summarisation and assessment of scientific results are acquired.

Learning outcomes and their assessment

• Knowledge about research methods and analysis of results;
• skills to perform experimental and analytical investigations;
• competence to formulate research task, perform investigations, choose method of numerical analysis and evaluate the acquired results.

Compulsory reading

1. Harris, H G/ Structural modelling and experimental techniques/ H G Harris, G M Sabnis.- 2nd ed. London, New York,... CRC Press, 1999.- 789 pp.
2. Fu, Feng: Advanced modelling techniques in structural design.- City University London. Chichester, United Kingdom; Hoboken, New Jersey: John Wiley and Sons, 2015, 258 p.
3. Kottegoda, N. T., Rosso R. Applied statistics for civil and environmental engineers. Oxford; Malden, MA: Blackwell Publishing, 2008. 718 p.

Further reading

1. Floyd, Anthony C. Green building: a professional's guide to concepts, codes and innovation : includes IgCC provisions/ Anthony C. Floyd, Allan Bilka.- Clifton Park, NY: Delmar, Cengage Learning, 2012., 271 lpp.
2. Civil engineering heritage in Europe: 18th-21st century / [editorial board: Gorazd Humar, editor-in-chief... [et al.]]; European Council of Civil Engineers. - Nova Gorica : Grafika Soča, 2009. - 375 p.
3. Stepinski, Tadeusz. Advanced structural damage detection: from theory to engineering applications/ Tadeusz Stepinski, Tadeusz Uhl and Wieslaw Staszewski. - Chichester, West Sussex, United Kingdom: Wiley, [2013], 328 p.

Periodicals and other sources

1. Bauen mit Holz. ISSN: 0005-6545
2. The Structural Engineer. London: The institution of structural engineers. ISSN 1466-5123