| Statuss(Aktīvs) | Izdruka | Arhīvs(0) | Studiju plāns Vecais plāns | Kursu katalogs | Vēsture |
| Course title | Mathematics IV |
| Course code | Mate2032 |
| 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 | 20/02/2013 |
| Responsible Unit | Institute of Mathematics and Physics |
| Course developers | |
| Dr. math., asoc. prof. Svetlana Atslēga |
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| There is no prerequisite knowledge required for this course | |
| Course abstract | |
| Studying the course, students acquire knowledge of probability theory and mathematical statistics with practical applications. The main accent is direct to practical investigations of problems, results calculations and final result professional estimation and interpretation. | |
| Learning outcomes and their assessment | |
| • Knowledge of probability theory and mathematical statistics methods with practical demonstrations;
• skills use in practice software for statistical data (MathCad, Excel), calculate the probability, calculate the mode, median and mean, the range, variance and standard deviation for a set of data items, construct a suitable frequency distribution, calculate frequency, follow the main step in a test of hypothesis, place confidence intervals around the sample estimate of a population mean, use tabless for chi-squared distributions, derive the equation of the line of best fit to a set of data pairs, calculate the correlation coefficient; • competence: of mathematical thinking, of handle symbols and formal mathematics language, of mathematical problem formulating and solving, of reasoning, of modeling, of aids and tools and of communication. |
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| Compulsory reading | |
| 1. Vasermanis E., Šķiltere D. Varbūtību teorija un matemātiskā statistika. Rīga: Izglītības soļi, 2003. 186 lpp.
2. Kronbergs E., Rivža P., Bože Dz. Augstākā matemātika. II daļa. Rīga: Zvaigzne, 1988. 527 lpp. 3. Goša Z. Statistika: mācību grāmata. Rīga: Latvijas Universitāte, 2003. 334 lpp. Ir LLU FB ~ 130 eks. 4. Krastiņš O., Ciemiņa I. Statistika: mācību grāmata augstskolām. Rīga: Latvijas Republikas centrālā Statistikas pārvalde, 2003. 267 lpp. |
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| Further reading | |
| 1. Grīnglazs L., Kopitovs J. Matemātiskā statistika ar datoru lietojuma paraugiem uzdevumu risināšanai. Rīga: Rīgas Starptautiskā ekonomikas un biznesa administrācijas augstskola, 2003. 310 lpp.
2. Arhipova I., Bāliņa S. Statistika ar Microsoft Excel 97 ikvienam. 1.daļa: mācību līdzeklis. Rīga: Datorzinību centrs, 1999. 168 lpp. 3. Arhipova I., Bāliņa S. Statistika ar Microsoft Excel 97 ikvienam. 2.daļa: mācību līdzeklis. Rīga: Datorzinību centrs, 2000. 136 lpp. |
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