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Undergraduate academic studies phytomedicine
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UNIVERSITY OF NOVI SAD
FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
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Study Programme Accreditation
UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
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Table 5.2 Course specification
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Course:
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MATHEMATICS
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Course id: 3ОFM1I39;
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Number of ECTS: 6
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Teacher:
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Snežana J. Matić-Kekić, Nebojša M. Dedović
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Course status
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Elective
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Number of active teaching classes (weekly)
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Lectures: 2
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Practical classes: 2
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Other teaching types:
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Study research work:
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Other classes:
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Precondition courses
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None
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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.
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Educational outcomes
Student qualifies for mathematical modeling of agro-economic phenomena and actively pursuing them.
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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.
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Teaching methods: Lectures
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Knowledge evaluation (maximum 100 points)
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Pre-examination obligations
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Mandatory
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Points
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Final exam
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Mandatory
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Points
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Lecture attendance
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Yes
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5
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Written part of the exam-tasks and theory
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Yes
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45
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Test
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Yes
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45
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Exercise attendance
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Yes
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5
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Literature
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Ord.
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Author
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Title
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Publisher
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Year
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1.
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Konjik S., Dedović N.
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Mathematics - a collection of tasks for the students of Faculty of Agriculture (in Serbian)
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Faculty of Agriculture, University of Novi Sad
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2011.
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2.
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Hadzić O., Takači Đ.
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Mathematics for students of natural sciences (in Serbian)
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University of Novi Sad,
university textbooks - Edition 76
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1998.
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3.
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Matić-Kekić S.
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Economic mathematics for students of biological sciences (in Serbian)
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Faculty of Agriculture, University of Novi Sad
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2006.
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UNIVERSITY OF NOVI SAD
FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
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Study Programme Accreditation
UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
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Table 5.2 Course specification
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Course:
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APPLIED MATHEMATICS
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Course id: 3ОFМ1I40
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Number of ECTS: 6
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Teacher:
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Snežana J. Matić-Kekić, Nebojša Dedović
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Course status
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Elective
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Number of active teaching classes (weekly)
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Lectures: 2
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Practical classes: 2
|
Other teaching types:
|
Study research work:
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Other classes:
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Precondition courses
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None
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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.
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Educational outcomes
Student qualifies for mathematical modeling of agro-economic phenomena and actively pursuing them.
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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.
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Teaching methods: Lectures
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Knowledge evaluation (maximum 100 points)
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Pre-examination obligations
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Mandatory
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Points
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Final exam
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Mandatory
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Points
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Lecture attendance
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Yes
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5
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Written part of the exam-tasks and theory
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Yes
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45
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Test
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Yes
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45
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Exercise attendance
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Yes
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5
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Literature
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Ord.
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Author
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Title
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Publisher
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Year
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1.
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Konjik S., Dedović N.
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Mathematics - a collection of tasks for the students of Faculty of Agriculture (in Serbian)
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Faculty of Agriculture, University of Novi Sad
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2011.
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2.
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Hadzić O., Takači Đ.
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Mathematics for students of natural sciences (in Serbian)
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University of Novi Sad,
university textbooks - Edition 76
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1998.
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3.
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Matić-Kekić S.
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Economic mathematics for students of biological sciences (in Serbian)
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Faculty of Agriculture, University of Novi Sad
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2006.
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UNIVERSITY OF NOVI SAD
FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
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Study Programme Accreditation
UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
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Table 5.2 Course specification
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Course:
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INFORMATICS
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Course id:3OFM2I41
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Number of ECTS: 6
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Teacher:
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Bojan M. Srdjevic, Tihomir S. Zoranovic (Teachers) / Bosko D. Blagojevic (Assistant)
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Course status
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Elective
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Number of active teaching classes (weekly)
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Lectures: 2
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Practical classes: 2
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Other teaching types:
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Study research work:
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Other classes:
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Precondition courses
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None
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Educational goal
Acquiring base knowledge in informatics and information technologies for agriculture.
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Educational outcomes
Skills in informatics and using information technologies in agriculture.
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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.
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Teaching methods
Lectures, Practical classes
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Knowledge evaluation (maximum 100 points)
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Pre-examination obligations
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Mandatory
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Points
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Final exam
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Mandatory
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Points
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Lecture attendance
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Yes
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5
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Oral part of the exam
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Yes
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40
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Exercise attendance
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Yes
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5
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Colloquium x 2
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Yes
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2x25=50
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Literature
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Ord.
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Author
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Title
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Publisher
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Year
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1.
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Srdjevic B.
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Informatics
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Textbook, 226 pages
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1996
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2.
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B.Srdjevic,
T. Zoranovic
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Informatics
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Lectures posted at the web (selected topics); regularly updated
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UNIVERSITY OF NOVI SAD
FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
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Study Programme Accreditation
UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
|
Table 5.2 Course specification
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Course:
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APPLIED INFORMATICS
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Course id:3OFM2I42
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Number of ECTS: 6
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Teacher:
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Bojan M. Srdjevic, Tihomir S. Zoranovic (Teachers) / Bosko D. Blagojevic (Assistant)
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Course status
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Elective
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Number of active teaching classes (weekly)
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Lectures: 2
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Practical classes: 2
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Other teaching types:
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Study research work:
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Other classes:
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Precondition courses
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None
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Educational goal
Acquiring base knowledge in applied informatics.
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Educational outcomes
Skills in applying knowledge of informatics in professional career.
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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.
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Teaching methods
Lectures, Practical classes
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Knowledge evaluation (maximum 100 points)
|
Pre-examination obligations
|
Mandatory
|
Points
|
Final exam
|
Mandatory
|
Points
|
Lecture attendance
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Yes
|
5
|
Oral part of the exam
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Yes
|
40
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Exercise attendance
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Yes
|
5
|
|
|
|
Colloquium x 2
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Yes
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2x25=50
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|
|
|
Literature
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Ord.
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Author
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Title
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Publisher
|
Year
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1.
|
Srdjevic B.
|
Informatics
|
Textbook, 226 pages
|
1996
|
2.
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B.Srdjevic,
T. Zoranovic
|
Informatics
|
Lectures on applied informatics posted at the web (selected topics); regularly updated
|
|
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UNIVERSITY OF NOVI SAD
FACULTY OF AGRICULTURE 21000 NOVI SAD, TRG DOSITEJA OBRADOVIĆA 8
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Study Programme Accreditation
UNDERGRADUATE ACADEMIC STUDIES PHYTOMEDICINE
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Table 5.2 Course specification
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Course:
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GENETICS
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Course id: 3ОFM3I43
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Number of ECTS: 6
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Teacher:
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prof. dr Sofija R. Petrović , prof. dr Miodrag D. Dimitrijević
Borislav M. Banjac, MSc
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Course status
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Elective
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Number of active teaching classes (weekly)
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Lectures: 2 x 15 = 30
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Practical classes: 2 x 15 = 30
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Other teaching types:
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Study research work:
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Other classes:
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Precondition courses
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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.
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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.
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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.
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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.
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Knowledge evaluation (maximum 100 points)
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Pre-examination obligations
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Mandatory
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Points
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Final exam (choose)
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Mandatory
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Points
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Lecture attendance
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Yes
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5
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Oral part of the exam
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Yes
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30
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Written part of the exam
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Yes
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30
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Test (colloquium)
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Yes
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3x10
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Exercise attendance
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Yes
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2,5
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Term paper
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Yes
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2,5
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Literature
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Ord.
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Author
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Title
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Publisher
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Year
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1.
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Borojević Slavko, Borojević, Katarina
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Genetika
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Poljoprivredni fakultet, Novi Sad
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1976
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2.
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Kraljević-Balalić Marija, Petrović Stevan , Vapa Ljiljana
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Genetika – teorijski osnovi sa zadacima
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Poljoprivredni fakultet, Institut za ratarstvo i povrtarstvo i PMF, Novi Sad
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1991
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3.
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Dimitrijević Miodrag, Petrović Sofija
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Genetika populacije. Adaptabilnost i stabilnost genotip
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Poljoprivredni fakultet, Novi Sad, Naučni institut za ratarstvo i povrtarstvo, Novi Sad
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2005
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4.
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Klung, S.W., Cummings, R., M., Spencer, A. Charlotte, Palladino, A.M.
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Concepts of Genetics 10th Edition
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Pearson Education, Inc., publishing as Pearson Benjamin Cummings, California, USA
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2012
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5.
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Klung, S.W., Cummings, R., M., Spencer
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Concepts of Genetics 8th Edition
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Pearson Education, Inc., NJ, USA.
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2006
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6.
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Marinković, M., Tucić, N., Kekić, V.
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Genetika
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Naučna Knjiga, Beograd
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1982
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Dimitrijević, Miodrag, Petrović, Sofija
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Genetički modifikovani organizmi – pitanja i dileme.
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Zelena mreža Vojvodine, Novi Sad
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2004
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Bošković, Jelena, Isajev, V.
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Genetika
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Megatrend univerzitet, Beograd
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2007
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