Course syllabus ALG - Algoritmizace (ŠAVŠ - Sklad předmětů)

     Czech          English          

Course title: Algoritmizace
Semester: -- item not defined --
Course supervisor: Ing. Vladimír Beneš, Ph.D.
Supervising department: Department of Informatics and Quantitative Methods (ŠAVŠ)
Prerequisites for registration: not Bachelor state examination
Time allowance: full-time, 2/2 (hours of lectures per week / hours of seminars per week)
part-time, 0/16 (lectures per period / seminars per period)
Type of study: usual
Form of teaching: lecture, seminar
Mode of completion and credits: Exam (4 credits)
Course objective:
To acquaint students with basic algorithms and data structures and their use in creating efficient algorithms. Introduce basic algorithmic constructs and algorithm design procedures. To get acquainted with basic abstract data types (field, list, tree) and frequently used data organization (search, sorting) algorithms.

The subject represents one of the basic elements of the professional part of the field of study.
Course methods: Interpretation and lecture; Demonstration and observation, briefing; Problem solving; Front education; Individual and individualized lessons; Individual work.
By environment (in a classroom, in a classroom, self-study outside the classroom); by relationship with educated (collective, individualized).
Course content:
The content of the course has not been saved in this language version.
Learning outcomes and competences:
After completing the course, student will be able to:
-Apply basic algorithms
-Apply basic and abstract data structures
-Knows algorithms geared to data organization
-Knows how to design algorithms

Teaching methods and workload (hours of workload):
Type of teaching methodDaily attendanceCombined form
Direct teaching
     Attendance of lectures24 h0 h
     Attendance of courses/seminars/tutorials24 h0 h
     Consultations with thesis supervisor (MT, BT)4 h0 h
     Course reading and ongoing preparation2 h0 h
     Ongoing evaluation2 h0 h
     Composing of individual (seminar) work4 h0 h
     Preparation for final test4 h0 h
     Preparation for final oral exam10 h0 h
     Searching, assesment and data processing (MT, BT)4 h0 h
     Preparation and final presentation of thesis (MT, BT)4 h0 h
     Writting of the thesis (BT, MT)30 h0 h
Total112 h0 h
Assessment methods:
Requirement typeDaily attendanceCombined form
Active lecture/seminar/workshop/tutorial participation10 %0 %
Term paper20 %0 %
Mid-term test(s)30 %0 %
Final oral exam40 %0 %
Total100 %0 %
Course completion:
1 "excellent" (90 - 100 %)
2 "very good" (75 - 89 %)
3 "good" (60 - 74 %)
4 "insufficient" (0 - 59 %)
Support for combined/distance forms of study:
-- item not defined --
Reading list:
Language of instruction: Czech
VIRIUS, M. Základy algoritmizace. Praha: ČVUT, 2008.

Language of instruction: Czech
MILKOVÁ, E. Algoritmy, základní konstrukce v příkladech a jejich vizualizace. Hradec Králové: Gaudeamus UHK, 2010.
Language of instruction: English
MACMILLAN, M. Data Structures and Algorithms Using C#. New York: New York: Cambridge University Press, 2007, 2007. ISBN 0-521-54765-2.

Study plans:
-- item not defined --
Run in the period of: SS 2018/2019, WS 2018/2019   (and older)
Course tutor: Ing. Vladimír Beneš, Ph.D. (supervisor)
Teaching language: Czech, English
Room: Mladá Boleslav, Praha

Last modification made by Mgr. Luděk Švejdar on 05/23/2019.

Type of output: