Undergraduate academic studies phytomedicine

		UNIVERSITY OF NOVI SAD FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
		Study Programme Accreditation UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
Table 5.2 Course specification
Course:	MATHEMATICS
Course id: 3ОFM1I39;
Number of ECTS: 6
Teacher:	Snežana J. Matić-Kekić, Nebojša M. Dedović
Course status	Elective
Number of active teaching classes (weekly)
Lectures: 2	Practical classes: 2		Other teaching types:	Study research work:	Other classes:
Precondition courses	None
Educational goal Mastering the skills and knowledge of subject content, which provides the basis for mathematical modeling of agro-economic phenomena and their exploitation in practice.
Educational outcomes Student qualifies for mathematical modeling of agro-economic phenomena and actively pursuing them.
Course content Real functions. Linear, quadratic, exponential, logarithmic, trigonometric functions and degrees. Sequences and limits of the functions. Asymptote of the functions. Derivative of the function (first and higher order). Local extreme values and intervals of monotonicity. Concave and convex functions. Graphic of the functions. Economic functions: interval of profitability, profits, demand, supply, revenues, costs, flexibility in the point and its interpretation. Integral calculus: primitive functions, method of substitution, partial integration and the integration of rational functions. Application of definite integrals.
Teaching methods: Lectures
Knowledge evaluation (maximum 100 points)
Pre-examination obligations	Mandatory		Points	Final exam	Mandatory	Points
Lecture attendance	Yes		5	Written part of the exam-tasks and theory	Yes	45
Test	Yes		45
Exercise attendance	Yes		5
Literature
Ord.	Author		Title	Publisher	Year
1.	Konjik S., Dedović N.		Mathematics - a collection of tasks for the students of Faculty of Agriculture (in Serbian)	Faculty of Agriculture, University of Novi Sad	2011.
2.	Hadzić O., Takači Đ.		Mathematics for students of natural sciences (in Serbian)	University of Novi Sad, university textbooks - Edition 76	1998.
3.	Matić-Kekić S.		Economic mathematics for students of biological sciences (in Serbian)	Faculty of Agriculture, University of Novi Sad	2006.

		UNIVERSITY OF NOVI SAD FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
		Study Programme Accreditation UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
Table 5.2 Course specification
Course:	APPLIED MATHEMATICS
Course id: 3ОFМ1I40
Number of ECTS: 6
Teacher:	Snežana J. Matić-Kekić, Nebojša Dedović
Course status	Elective
Number of active teaching classes (weekly)
Lectures: 2	Practical classes: 2		Other teaching types:	Study research work:	Other classes:
Precondition courses	None
Educational goal Mastering the skills and knowledge of subject content, which provides the basis for mathematical modeling of agro-economic phenomena and their exploitation in practice.
Educational outcomes Student qualifies for mathematical modeling of agro-economic phenomena and actively pursuing them.
Course content Financial mathematics: percentage and promil calculus, compounded interest rate, fixed-term and continuous savings, loans payment. Proportion, direct and inverse proportion, mixing calculus, chain calculus, division calculus, time series. Matrix calculus: operations on matrices, determinant of matrices, elementary transformation, regular matrices. Gaussian elimination method, Cramér's theorem, inverse matrix, simplex method, Vogel’s and MODI method. Formulation and solution of mathematical models. Combinatorial principles, combinations, variations and permutations, binomial coefficients.
Teaching methods: Lectures
Knowledge evaluation (maximum 100 points)
Pre-examination obligations	Mandatory		Points	Final exam	Mandatory	Points
Lecture attendance	Yes		5	Written part of the exam-tasks and theory	Yes	45
Test	Yes		45
Exercise attendance	Yes		5
Literature
Ord.	Author		Title	Publisher	Year
1.	Konjik S., Dedović N.		Mathematics - a collection of tasks for the students of Faculty of Agriculture (in Serbian)	Faculty of Agriculture, University of Novi Sad	2011.
2.	Hadzić O., Takači Đ.		Mathematics for students of natural sciences (in Serbian)	University of Novi Sad, university textbooks - Edition 76	1998.
3.	Matić-Kekić S.		Economic mathematics for students of biological sciences (in Serbian)	Faculty of Agriculture, University of Novi Sad	2006.

		UNIVERSITY OF NOVI SAD FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
		Study Programme Accreditation UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
Table 5.2 Course specification
Course:	INFORMATICS
Course id:3OFM2I41
Number of ECTS: 6
Teacher:	Bojan M. Srdjevic, Tihomir S. Zoranovic (Teachers) / Bosko D. Blagojevic (Assistant)
Course status	Elective
Number of active teaching classes (weekly)
Lectures: 2	Practical classes: 2		Other teaching types:	Study research work:	Other classes:
Precondition courses	None
Educational goal Acquiring base knowledge in informatics and information technologies for agriculture.
Educational outcomes Skills in informatics and using information technologies in agriculture.
Course content Theory Introduction. Discrete information and data. Digital computers. Hardware platforms (mainframes, supercomputers, personal computers). Hardware and software. Algorithms. Programming languages. Digital computers in agriculture. Information and communication technologies. Networks and protocols. Internet and services. Databases. Database management systems. Information systems in agriculture. Application software (linear programming, statistical methods and packages, transportation models, networks and resources allocation, decision making etc.). Practice Measuring quantities of information (Shannon' formula and Hartley's theorem). Numerical, alphabetical and alphanumerical environments of personal computers and systems (examples). Algorithms - examples. Computer languages overview. Web search and e-mail. Excample information systems in agriculture. Data organization (entities, classes, attributes and data, domains). Logical and physical organization of data in databases. Database management systems - overview. Software tools in agriculture with example applications.
Teaching methods Lectures, Practical classes
Knowledge evaluation (maximum 100 points)
Pre-examination obligations	Mandatory		Points	Final exam	Mandatory	Points
Lecture attendance	Yes		5	Oral part of the exam	Yes	40
Exercise attendance	Yes		5
Colloquium x 2	Yes		2x25=50
Literature
Ord.	Author		Title	Publisher	Year
1.	Srdjevic B.		Informatics	Textbook, 226 pages	1996
2.	B.Srdjevic, T. Zoranovic		Informatics	Lectures posted at the web (selected topics); regularly updated

		UNIVERSITY OF NOVI SAD FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
		Study Programme Accreditation UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
Table 5.2 Course specification
Course:	APPLIED INFORMATICS
Course id:3OFM2I42
Number of ECTS: 6
Teacher:	Bojan M. Srdjevic, Tihomir S. Zoranovic (Teachers) / Bosko D. Blagojevic (Assistant)
Course status	Elective
Number of active teaching classes (weekly)
Lectures: 2	Practical classes: 2		Other teaching types:	Study research work:	Other classes:
Precondition courses	None
Educational goal Acquiring base knowledge in applied informatics.
Educational outcomes Skills in applying knowledge of informatics in professional career.
Course content Theory Measuring quantities of information in one or more messages (Shannon' formula and Hartley's theorem). Discrete information. Mainframes, supercomputers, and personal computers. Operating systems, utilities and application software for PCs. Solving the problems with computer. Programming languages (procedural, descriptive, artificial intelligence, internet languages). Information technologies and multimedia. Computer networks. Internet, protocols and services. Databases. Cryptography. Identification of users and personal data protection. Information systems in agriculture (purposes, development and architectures). Functionalities. Database management systems and software. Application software in agriculture. Examples of utility services, application software, expert systems etc. Practice Application of Shannon' formula. Hartley's theorem and applications. PC architecture and characteristics. Discrete values and numeric (base numeric systems). Solving problems with computers. Algorithms (examples). Methods and procedures for solving typical engineering problems. Word processing and spreadsheets. Advanced software tools in agriculture. Examples of application: utilities, linear programming, statistical packages, transportation models, network models for resources allocation, decision support software.
Teaching methods Lectures, Practical classes
Knowledge evaluation (maximum 100 points)
Pre-examination obligations	Mandatory		Points	Final exam	Mandatory	Points
Lecture attendance	Yes		5	Oral part of the exam	Yes	40
Exercise attendance	Yes		5
Colloquium x 2	Yes		2x25=50
Literature
Ord.	Author		Title	Publisher	Year
1.	Srdjevic B.		Informatics	Textbook, 226 pages	1996
2.	B.Srdjevic, T. Zoranovic		Informatics	Lectures on applied informatics posted at the web (selected topics); regularly updated

		UNIVERSITY OF NOVI SAD FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
		Study Programme Accreditation UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
Table 5.2 Course specification
Course:	GENETICS
Course id: 3ОFM3I43
Number of ECTS: 6
Teacher:	prof. dr Sofija R. Petrović , prof. dr Miodrag D. Dimitrijević Borislav M. Banjac, MSc
Course status	Elective
Number of active teaching classes (weekly)
Lectures: 2 x 15 = 30	Practical classes: 2 x 15 = 30		Other teaching types:	Study research work:	Other classes:
Precondition courses
Educational goal The course covers the fundamentals of genetics, aiming to general principles of inheritance, principals of vertical and horizontal genetic information transfer, cell divisions, mode of inheritance and gene interactions, novel genetic variability creation, structure and function of the genes and genomes, the basics of population and quantitative genetics.
Educational outcomes The course is to give a foundation for further scholar improvement through master and doctoral studies, for the assistance in breeding programs and research projects, for participation in all practical activities, where the understanding of basics of inheritance processes, as well as, genotype by environment interaction is required.
Course content Theoretical lectures: Introduction; Organism and the Environment; Cell and chromosome structures; The structure and functioning of genetic material; Cell divisions, gametogenesis and fertilization; Mendelian genetic – independent gene segregation (monohybrids, dihybryds, polyhybrids); Multiple allelism; Epistasis – non-allelic gene interactions; Gene linkage and crossing over; Quantitative traits (minor gene action and the components of phenotypic variability); Species and genus hybridization (distant crosses); Mutations; Polyploidy and chromosomal aberrations; The principles of population (genetic drift, gene flow and transfer); The principle of small population and inbreeding; extranuclear inheritance, The fundamentals of genetic engeneering; Practical teaching: PT is conducted through practical exercises and seminars that follow TL.
Teaching methods Teaching is done using modern techniques. Theoretical part of the training is conducted in a Faculty lecture halls. All lectures are computer processed and presented. The practical part of the course takes place in cabinetmaking work in adapted air-conditioned room, with individual seats for students (40 seats), which is equipped with a computer, video beam, overhead projectors and microscopes.
Knowledge evaluation (maximum 100 points)
Pre-examination obligations	Mandatory		Points	Final exam (choose)	Mandatory	Points
Lecture attendance	Yes		5	Oral part of the exam	Yes	30
Written part of the exam	Yes	30
Test (colloquium)	Yes		3x10
Exercise attendance	Yes		2,5
Term paper	Yes		2,5
Literature
Ord.	Author		Title	Publisher	Year
1.	Borojević Slavko, Borojević, Katarina		Genetika	Poljoprivredni fakultet, Novi Sad	1976
2.	Kraljević-Balalić Marija, Petrović Stevan , Vapa Ljiljana		Genetika – teorijski osnovi sa zadacima	Poljoprivredni fakultet, Institut za ratarstvo i povrtarstvo i PMF, Novi Sad	1991
3.	Dimitrijević Miodrag, Petrović Sofija		Genetika populacije. Adaptabilnost i stabilnost genotip	Poljoprivredni fakultet, Novi Sad, Naučni institut za ratarstvo i povrtarstvo, Novi Sad	2005
4.	Klung, S.W., Cummings, R., M., Spencer, A. Charlotte, Palladino, A.M.		Concepts of Genetics 10^th Edition	Pearson Education, Inc., publishing as Pearson Benjamin Cummings, California, USA	2012
5.	Klung, S.W., Cummings, R., M., Spencer		Concepts of Genetics 8^th Edition	Pearson Education, Inc., NJ, USA.	2006
6.	Marinković, M., Tucić, N., Kekić, V.		Genetika	Naučna Knjiga, Beograd	1982
	Dimitrijević, Miodrag, Petrović, Sofija		Genetički modifikovani organizmi – pitanja i dileme.	Zelena mreža Vojvodine, Novi Sad	2004
	Bošković, Jelena, Isajev, V.		Genetika	Megatrend univerzitet, Beograd	2007