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Study program:
Hidrogeology (I semester -PhD)
Name of subject:
Instructors:
Prof. Igor Jemcov, Prof. Vladimir Živanović, Dr Maja Todorović
Status: Optional
ECTS: 10
Prerequisites: -
Course Objectives:
-
Learning Outcomes:
-
Content:
-
Suggested Reading List:
  1. Josset LD, Ginsbourger and Lunati I, 2015: Functional error modeling for uncertainty quantification in hydrogeology, Water Resources Research, 51 (2), 1050–1068
  2. Breiman L, Friedman JH, Olshen RA, Stone CJ, 1984: Classification and regression trees. Wadworth, Belmont
  3. Kompare B, 1995: The use of artificial intelligence in ecological modelling. Ph. D. Thesis, Royal Danish School of Pharmacy, Copenhagen, Denmark
  4. Witten IH, Frank E, 2000: Data mining: Practical machine learning tools and techniques with java implementations. Morgan Kaufmann Publishers, San Francisco, USA
Conduct of the Course:
-
Fund hours:
Lectures Exercises Other forms of teaching Study research
5 0 0 0
Assessment:
Final Exam ECTS
Written exam40

Classwork Assessment ECTS
Class Participationа10
Семинари50
Additional Assessment Criteria: -


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