Kurs-Code InfTD004
Kreditpunkte 6
Stundenzahl insgesamt (im Auditorium)162
Vorlesungen (Stundenzahl)32
Stundenzahl fŅr Seminare und praktische Arbeitsaufträge32
Selbststandige Arbeit des Studenten (Stunden)98
Bestätigt am (Datum)18.10.2022
Kurs ausgearbeitet von (Lehrkraft)
Irina Arhipova
Zur einfŅhrenden LektŅre empfohlen
1. John W. Creswell. (2009) Research design: qualitative, quantitative, and mixed methods approaches. Thousand Oaks, Calif.: Sage, 260 pp.
2. Jordan E., Silcock L. (2005) Beating IT Risks. Chichester: John Wiley & Sons, 292 pp.
3. Michael P. Marder (2011) Research methods for science. Cambridge; New York, NY: Cambridge University Press, 227 pp.
4. Moynihan T. (2002) Coping with IS/IT Risk Management: The Recipes of Experienced Project Managers. London: Springer, 328 pp.
Weiterfuhrende Literatur
1. Hahn G. J., Shapiro S. S. (1994) Statistical Models in Engineering. A Wiley-Interscience Publication. John Wiley & Sons, INC, 347 pp. 2. Nathabandu T. Kottegoda, Renzo Rosso (2008) Applied statistics for civil and environmental engineers. Oxford; Malden, MA: Blackwell Publishing, 718 pp. 3. Mark Mitchell, Janina Jolley (2004) Research design explained. Belmont, CA: Wadsworth/Thomson Learning, 570 pp.
Zur LektŅre vorgeschlagene Zeitschriften
1. ACM Computing Surveys. SSN:0360-0300E-ISSN:1557-7341 2. Foundations and Trends in Machine Learning SSN:1935-8237; E-ISSN:1935-8245 3. Foundations and Trends in Communications and Information Theory. ISSN:1567-2190; E-ISSN:1567-2328 4. Computer Science Review. ISSN:1574-0137 5. Journal of Big Data E-ISSN:2196-1115