Course syllabus ALG - Algoritmizace (ŠAVŠ - SS 2018/2019)

     Czech          English          

Course title:
SS 2018/2019
Course supervisor: Ing. Vladimír Beneš, Ph.D.
Supervising department:
Prerequisites for registration:
not Bachelor state examination
Time allowance:
full-time, 2/2 (hours of lectures per week / hours of seminars per week)
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:
-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 method
Daily attendance
Direct teaching
     Attendance of lectures
24 h
     Attendance of courses/seminars/tutorials
24 h
     Consultations with thesis supervisor (MT, BT)
4 h
     Course reading and ongoing preparation
2 h
     Ongoing evaluation
2 h
     Composing of individual (seminar) work
4 h
     Preparation for final test4 h
     Preparation for final oral exam
10 h
     Searching, assesment and data processing (MT, BT)
4 h
     Preparation and final presentation of thesis (MT, BT)4 h
     Writting of the thesis (BT, MT)
30 h
Total112 h
Assessment methods:
Requirement type
Daily attendance
Active lecture/seminar/workshop/tutorial participation
10 %
Term paper
20 %
Mid-term test(s)
30 %
Final oral exam40 %
100 %
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.

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

Last modification made by Mgr. Luděk Švejdar on 01/24/2019.

Type of output: