| Statuss(Neaktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Mathematics II |
| Course code | Mate2002 |
| Credit points (ECTS) | 3 |
| Total Hours in Course | 81 |
| Number of hours for lectures | 16 |
| Number of hours for laboratory classes | 16 |
| Independent study hours | 49 |
| Date of course confirmation | 19/10/2011 |
| Responsible Unit | Institute of Computer Systems and Data Science |
| Course developers | |
| Dr. oec., doc. Līga Zvirgzdiņa |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| Students acquire widely used mathematical statistics techniques for analysis of experimental data in agriculture. Students learn about systematization of data and their graphic display. Students achieve a competence about sampling, calculation and evaluation of descriptive statistics, statistical parameters and hypothesis testing, as well as, about interpretation of results. | |
| Learning outcomes and their assessment | |
| As a result of the study course students acquire:knowledge and critical understanding of mathematical methods and their practical applications in agriculture;skills in mathematical methods for statistically based conclusions for course work and undergraduate work, skills in the use of appropriate software applications for statistical data processing;competence in applying the relevant mathematical methods, execute a professional evaluation and interpretation of results in group work or independently. | |
| Compulsory reading | |
| 1. Arhipova I., Bāliņa S. Statistika ar MS Excel ikvienam. 1. daļa Rīga: Datorzinību Centrs, 1999.
2. Arhipova I., Ramute L., Paura L. Datu statistiskā apstrāde ar MS Excel. Jelgava: LLU izdevniecība, 1998. 159 lpp. 3. Arhipova I., Ramute L., Žuka L. Matemātiskās statistikas uzdevumu risināšana ar MS Excel. I Jelgava: LLU izdevniecība, 1997. 4. Arhipova I., Ramute L., Žuka L. Matemātiskās statistikas uzdevumu risināšana ar MS Excel. II Jelgava: LLU izdevniecība. 1997. |
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| Further reading | |
| 1. Arhipova I., Bāliņa S. Statistika ekonomikā un biznesā. Rīga: Datorzinību Centrs, 2006. 362 lpp. 2. Arhipova I., Bāliņa S. Statistika ekonomikā. Risinājumi ar SPSS un Microsoft Excel. Rīga: Datorzinību Centrs, 2003. 349 lpp. | |