Introduction to Theoretical Computer Science/en: Rozdiel medzi revíziami

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Riadok 1: Riadok 1:
{{Predmet
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{{Course
   | name = Úvod do teoretickej informatiky
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   | name = Algorithms and Data Structures
   | code = 1-AIN-211
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   | code = 1-AIN-210
   | prerequisites =  
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   | prerequisites = 1-AIN-170 (obligatory)
   | semester = Zimný
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   | semester = Winter
 
   | year = 2
 
   | year = 2
   | credits = 6
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   | credits = 5
   | form = P - prednáška (2), C - cvičenie (2)
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   | form = C - course (4)
   | evaluation = 50/50
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   | evaluation = 0/100
   | webpage = chýba
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   | webpage = not available
   | teacher = RNDr. Michal Winczer, PhD.
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   | teacher = RNDr. Zuzana Kubincová
   | email = winczer[[Image:zavinac.gif|@]]fmph.uniba.sk
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   | email = kubincova[[Image:zavinac.gif|@]]fmph.uniba.sk
   | homepage = http://www.edi.fmph.uniba.sk/winczer
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   | homepage = http://www.edi.fmph.uniba.sk/kubincova
   | description = chýba
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   | description = Introduction to problems. Matematical foundations: symbolism, combinatorial identities. Sorting analysis: heapsort, quicksort; linear time sorting. Data structures: basic, hash tables, bináry searching trees, red-black and balanced trees. Design and analysis technics: dynamic programming, greedy algorithms.
   | offered_in = Povinný v [[Bachelor program in Applied Informatics|Bakálarskom programe Aplikovaná informatika]]
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   | offered_in = Obligatory in [[Bachelor program in Applied Informatics]]
   | recommendations = žiadne
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   | recommendations = none
 
}}
 
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Aktuálna revízia z 19:00, 3. august 2010

Algorithms and Data Structures 1-AIN-210

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Course name and code: Algorithms and Data Structures (1-AIN-210)
Prerequisite courses: 1-AIN-170 (obligatory)
Available in/recommended study year: Winter semester / 2
Form and # of hours/week: C - course (4)
Credits: 5
Evaluation (semester/exam): 0/100
Course webpage: not available
Information sheet: 1-AIN-210 information sheet
Teacher(s): RNDr. Zuzana Kubincová
E-mail: kubincova@fmph.uniba.sk
Homepage(s): http://www.edi.fmph.uniba.sk/kubincova

Short description:

Introduction to problems. Matematical foundations: symbolism, combinatorial identities. Sorting analysis: heapsort, quicksort; linear time sorting. Data structures: basic, hash tables, bináry searching trees, red-black and balanced trees. Design and analysis technics: dynamic programming, greedy algorithms.

Offered in these study programs: Obligatory in Bachelor program in Applied Informatics

Recommendations: none