Latviešu Krievu Angļu Vācu Franču
Statuss(Aktīvs) Izdruka Arhīvs(0) Studiju plāns Vecais plāns Kursu katalogs Vēsture

Kurstitel
Kurs-Code PārZ5026
Kreditpunkte (ECTS) 4.5
Stundenzahl insgesamt (im Auditorium) 121.5
Vorlesungen (Stundenzahl) 12
Stundenzahl fŅr Seminare und praktische Arbeitsaufträge 36
Selbststandige Arbeit des Studenten (Stunden) 72
Bestätigt am (Datum) 19/02/2014
 
Kurs ausgearbeitet von (Lehrkraft)
, Ilga Gedrovica

6979@@Priekšzināšanas
Kursam priekšzināšanas nav nepieciešamas
 
Ersetzte/r Kurs/e
PārZM002 [GPARM002]
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.]