Quantitative methods for agriculture and environment science (169512)
Nositelj predmeta
Opis predmeta
Calculus: Exploring of mathematical approaches and solutions that cut across agriculture and environmental disciplines and introducing of analytical techniques that are thought infrequently in other courses. The goal is to provide students with the tools and confidence they need to apply quantitative methods in their own research (differential and integral calculus, multivariable calculus, with examples and applications from the environmental sciences).
Vrsta predmeta
- Graduate studies / Environment, agriculture and resource management (Obvezni predmet, 1. semestar, 1. godina)
ECTS: 3.00
Sati nastave: 30
Predavanja: 20
Auditorne vježbe: 10
Izvođač predavanja
Izvođač vježbi
Ocjenjivanje
Dovoljan (2): 60-70 %
Dobar (3): 71-80 %
Vrlo dobar (4): 81 -90%
Izvrstan (5): 91-100%
Opće kompetencije
This course introduces the use of quantitative methods in environmental analysis. Students will learn how to apply basic principles of natural science to a variety of globally important problems.
Oblici nastave
- Lectures
- Auditory Exercises
- Practicum
Ishodi učenja i način provjere
| Ishod učenja | Način provjere |
|---|---|
| have working knowledge of basic concepts, methods and techniques from calculus; | exam, practical work, project |
| be able to apply mathematical knowledge, insights and methods to solve basic problems in life sciences (agriculture and environment) using a systematic approach; | exam, practical work, project |
| be able to critically reflect upon the results; | exam, practical work, project |
| be able to interpret the results in terms of the problem that was modelled mathematically; | exam, practical work, project |
| be able to use mathematical software in elaborating mathematical models. | exam, practical work, project |
Način rada
Obveze nastavnika
1. Course planning
2. Selection and creation of teaching materials
3. Evaluation of course, teaching materials and curriculum
4. Construct tests
5. Grade students on the basis of their achievement
Obveze studenta
1. Attend lectures regularly
2. Do homeworks and participate actively during lectures
3. Write tests and win at least 25% of points on each test to get the signature
4. Do individual projects
Polaganje ispita
| Elementi praćenja | Maksimalno bodova ili udio u ocjeni | Bodovna skala ocjena | Ocjena | Broj sati izravne nastave | Ukupni broj sati rada prosječnog studenta | ECTS bodovi |
|---|---|---|---|---|---|---|
| 1st exam | 40 % | 14 | 20 | 1 | ||
| 2nd exam | 30 % | 8 | 20 | 1 | ||
| 3rd exam | 30 % | 8 | 20 | 1 | ||
| activity | up to 10 % | |||||
| Total | 100 % | 30 | 60 | 3 |
| Elementi praćenja | Opis | Rok | Nadoknada |
|---|---|---|---|
| 3rd Exam | functions of several variables | 16th week |
Tjedni plan nastave
- Introduction L - Survey of elementary functions. Real functions of one real variable
- Differential of a function L - Limit, derivative, interpretations of derivative, differential of a function, tabular differentiation
- Differentiation techniques E - Differentiation techniques, higher order derivatives
- Minimum and maximum problems I L+E - Applications to minimum and maximum problems
- Minimum and maximum problems II E - Exercises on minimum and maximum problems
- Integration I L - Definite and indefinite integrals, Newton-Leibnitz formula
- Integration II E - Methods of finding indefinite integrals
- Differential equations I L - Basic concepts and methods of solving
- Differential equations II L+E - Methods of solving
- Differential equations III E - Solving differential equations
- Matrix algebra I L - Survey of matrix algebra, determinants, eigenvalues and eigenvectors
- Matrix algebra II E - Exercises on matrix algebra
- Functions of several variables I L - Partial derivatives and differentials of functions of several variables
- Functions of several variables II L+E - Maximum and minimum of functions of several variables
- Functions of several variables III E - Exercises on maximum and minimum of functions of several variables
Preporučena literatura
- L. D. Hoffman, G. L. Bradley: Calculus for Business, Economics, and the Social and Life Sciences
- K. Sydsaeter, P. J. Hammond: Mathematics for Economic Analysis, Prentice Hall, 2002
- K. Sydsaeter, P. J. Hammond, A. Seierstad, A. Strom: Further Mathematics for Economic Analysis, Prentice Hall, 2008
- M. W. Klein: Mathematical methods for economics, Pearson Education, 2002.
Sličan predmet na srodnim sveučilištima
- Mathematik, BOKU, Wien
- Mathematik und Statistik, Agricultural Sciences, University of Hohenheim