Kurs-Code PārZM002
Kreditpunkte 5
Stundenzahl insgesamt (im Auditorium)120
Vorlesungen (Stundenzahl)11
Stundenzahl fŅr Seminare und praktische Arbeitsaufträge29
Arbeit im Labor (Stundenzahl)0
Selbststandige Arbeit des Studenten (Stunden)95
Bestätigt am (Datum)28.11.2023
Kurs ausgearbeitet von (Lehrkraft)
Lolita Tomsone
Zanda Krūma
Ersetzte Kurs
PārZ5026 [GPAR5026]
Zur einfŅhrenden LektŅre empfohlen
1. Bui Y. N., How to write a master's thesis. Los Angeles : SAGE, 2014, 313 p.
2. Corti L., Van den Eynden V., Libby Bishop & Matthew Woollard, Managing and sharing research data: a guide to good practice., Los Angeles : SAGE, 2014, 222 p.
3. Matthews M., Carole Matthews C., How to Do Everything: Microsoft Office Online. McGraw-Hill Education; 1 edition, 2015., 244 p.
4. Bower J. A., Statistical Methods for Food Science: introductory procedures for food practitioner. Oxford, UK ; Ames, Iowa : Wiley-Blackwell, 2009., 307 p.
5. Pripp A. H., Statistics in food science and nutrition. New York : Springer, 2013., 66 p.
6. Marti K., Stochastic optimization methods: Applications in engineering and operations research. Heidelberg : Springer, 2015., 368 p.
Weiterfuhrende Literatur
1. Trochim W. M., Donnelly J. P., Arora K., Research methods : the essential knowledge base. Boston, MA : Cengage Learning, 2016., 422 p.
2. Lindemann K., Composing research, communicating results : writing the communication research paper. Hoboken, NJ : Wiley Blackwell, 2018., 166 p.
3. Fisher C., Researching & Writing a Dissertation: An Essential Guide for Business Students. Financial Times Prentice Hall; 3rd ed., 2010. 448 p.
4. Bluttman K. ,Excel formulas & functions for dummies. Indianapolis, IN: John Wiley & Sons, 2019., 383 p.
5. Ciproviča I., Galoburda R., Kārkliņa D., Rakčejeva T., Metodiskie noteikumi maģistra darba izstrādei un aizstāvēšanai. Jelgava: PTF, 2012. 44 lpp.
6. Arhipova, I., Bāliņa, S., Statistika ekonomikā. Risinājumi ar SSPS un Microsoft Excel: mācību līdzeklis. Rīga: Datorzinību centrs. 2003, 352 lpp.
7. Klieders J., Datorzinības. Microsoft Office 2013/2016: mācību līdzeklis., Rīga: Juridiskā koledža, 2018., 295 lpp.
8. Microsoft Office [tiešaiste] [Skatīts: 01.10.2020.]. Pieejams: https://www.office.com/
Zur LektŅre vorgeschlagene Zeitschriften
Scientific peer-reviewed articles on ScienceDirect. Pieejams: https://www.sciencedirect.com/ [skatīts: 01.novembris 2020.]
Scientific peer-reviewed articles on Scopus. Pieejams: https://www.scopus.com/home.uri [skatīts: 01.novembris 2020.]