Faculty of Science and Mathematics / COMPUTER SCIENCE / RAČUNARSKE NAUKE-DOKTORSKI ISPIT

Course:RAČUNARSKE NAUKE-DOKTORSKI ISPIT/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7790Obavezan1104++0
ProgramsCOMPUTER SCIENCE
Prerequisites
Aims
Learning outcomes
Lecturer / Teaching assistant
Methodology
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lectures
I week exercises
II week lectures
II week exercises
III week lectures
III week exercises
IV week lectures
IV week exercises
V week lectures
V week exercises
VI week lectures
VI week exercises
VII week lectures
VII week exercises
VIII week lectures
VIII week exercises
IX week lectures
IX week exercises
X week lectures
X week exercises
XI week lectures
XI week exercises
XII week lectures
XII week exercises
XIII week lectures
XIII week exercises
XIV week lectures
XIV week exercises
XV week lectures
XV week exercises
Student workload
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
4 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations
Consultations
Literature
Examination methods
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Science and Mathematics / COMPUTER SCIENCE / MATEMATIKA- DOKTORSKI ISPIT

Course:MATEMATIKA- DOKTORSKI ISPIT/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
7791Obavezan1104++0
ProgramsCOMPUTER SCIENCE
Prerequisites Listening and taking this course is not conditional on taking other courses
Aims This is a general education course for doctoral studies in computer science
Learning outcomes Understanding of basic mathematical concepts used in computer science.
Lecturer / Teaching assistantDarko Mitrovic
MethodologyMentoring, consultations, independent study and independent creation of tasks
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lecturesComputability: Turing machine models of computation and Cercos thesis. The stopping problem
I week exercisesComputability: Turing machine models of computation and Cercos thesis. The stopping problem
II week lecturesKlins theorem. Parameter theorem. Recursion theorem. Fixed point theorem
II week exercises Klins theorem. Parameter theorem. Recursion theorem. Fixed point theorem
III week lecturesArithmetic: Arithmetization. Tarskis theorem. Godels first theorem.
III week exercisesArithmetic: Arithmetization. Tarskis theorem. Godels first theorem.
IV week lecturesGeels second theorem. Indecisiveness
IV week exercisesGeels second theorem. Indecisiveness
V week lecturesDiscrete mathematics. Theory of automata.
V week exercisesDiscrete mathematics. Theory of automata. Algorithms in discrete mathematics
VI week lecturesI colloquium
VI week exercisesI group of homework and problems
VII week lecturesRecapitulation.
VII week exercisesRecapitulation.
VIII week lecturesAlgorithmic problems of algebra. Agorithms in algebra and number theory
VIII week exercisesAlgorithmic problems of algebra. Agorithms in algebra and number theory
IX week lecturesCalculations in analysis. Fast calculation algorithms.
IX week exercisesCalculations in analysis. Fast calculation algorithms.
X week lecturesRandom number generators. Probabilistic algorithms.
X week exercisesRandom number generators. Probabilistic algorithms.
XI week lecturesComputational geometry. Algorithms in geometry
XI week exercisesComputational geometry. Algorithms in geometry
XII week lecturesCombinatorial optimization algorithms. Complexity
XII week exercisesCombinatorial optimization algorithms. Complexity
XIII week lecturesNumerical methods of linear algebra.
XIII week exercisesNumerical methods of linear algebra.
XIV week lecturesNumerical methods of mathematical analysis
XIV week exercisesNumerical methods of mathematical analysis
XV week lecturesII colloquium
XV week exercisesII group of homework and problems
Student workloadLessons and final exam: (13 hours and 20 minutes) x16=213 hours and 20 minutes Preparations: (procurement of literature, registration, certification)
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
4 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations Students are required to participate in all forms of work
ConsultationsMondaz, 14:00-16:00
LiteratureP. Borwein: Computational excursion in analysis and number theory, Spfringer, 2002. B. Korte, J. Vzgen: Combinatorial optimization. Theory and algorithms, Springer. 2000 M. de Berg, M. van Kreveld, M. Overmars, O. Schwarkzkopf: Computational geometry, algorithms and applications, Sringer, 2000 R. Motwani, P. Raghavan: Randomized algorithms, Cambridge University press, 1995. J.P. Solovjev, V.A. Sadobnicij, E.T. Shavgulidze, V.V. Belokurov: Elliptic curves modern number theory algorithms, Moscow-Iyevsk 2003. (in Russian)
Examination methods- Two groups of homework are evaluated with 20 points each - Other activities during the semester are evaluated with up to 10 points - The final exam is evaluated with 50 points
Special remarksNo
CommentAdditional information about the subject at www.ucg.ac.me
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points

Faculty of Science and Mathematics / COMPUTER SCIENCE / VJEROVTNOSNA ROBOTIKA

Course:VJEROVTNOSNA ROBOTIKA/
Course IDCourse statusSemesterECTS creditsLessons (Lessons+Exercises+Laboratory)
14345Obavezan2104++0
ProgramsCOMPUTER SCIENCE
Prerequisites
Aims
Learning outcomes
Lecturer / Teaching assistant
Methodology
Plan and program of work
Preparing weekPreparation and registration of the semester
I week lectures
I week exercises
II week lectures
II week exercises
III week lectures
III week exercises
IV week lectures
IV week exercises
V week lectures
V week exercises
VI week lectures
VI week exercises
VII week lectures
VII week exercises
VIII week lectures
VIII week exercises
IX week lectures
IX week exercises
X week lectures
X week exercises
XI week lectures
XI week exercises
XII week lectures
XII week exercises
XIII week lectures
XIII week exercises
XIV week lectures
XIV week exercises
XV week lectures
XV week exercises
Student workload
Per weekPer semester
10 credits x 40/30=13 hours and 20 minuts
4 sat(a) theoretical classes
0 sat(a) practical classes
0 excercises
9 hour(s) i 20 minuts
of independent work, including consultations
Classes and final exam:
13 hour(s) i 20 minuts x 16 =213 hour(s) i 20 minuts
Necessary preparation before the beginning of the semester (administration, registration, certification):
13 hour(s) i 20 minuts x 2 =26 hour(s) i 40 minuts
Total workload for the subject:
10 x 30=300 hour(s)
Additional work for exam preparation in the preparing exam period, including taking the remedial exam from 0 to 30 hours (remaining time from the first two items to the total load for the item)
60 hour(s) i 0 minuts
Workload structure: 213 hour(s) i 20 minuts (cources), 26 hour(s) i 40 minuts (preparation), 60 hour(s) i 0 minuts (additional work)
Student obligations
Consultations
Literature
Examination methods
Special remarks
Comment
Grade:FEDCBA
Number of pointsless than 50 pointsgreater than or equal to 50 points and less than 60 pointsgreater than or equal to 60 points and less than 70 pointsgreater than or equal to 70 points and less than 80 pointsgreater than or equal to 80 points and less than 90 pointsgreater than or equal to 90 points