Course syllabus PZD - Application of IT (FA - WS 2018/2019)


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Course code: PZD
Course title in language of instruction: -- item not defined --
Course title in Czech: Application of IT
Course title in English: Application of IT
Mode of completion and number of credits: Fulfillment of requirements (4 credits)
(1 ECTS credit = 28 hours of workload)
Mode of delivery/Timetabled classes: full-time, 2/2 (hours of lectures per week / hours of seminars per week)
Language of instruction: Czech
Level of course: bachelor
Semester: WS 2018/2019
Name of lecturer: doc. Ing. Martin Fajman, Ph.D. (examiner, instructor, lecturer)
Ing. Václav Kašpar (examiner, instructor, lecturer)
Ing. Nela Poláková (examiner, instructor, lecturer)
Ing. Jakub Rozlivka (examiner, instructor, lecturer)
Ing. Michal Šustr, Ph.D. (examiner, instructor, lecturer)
Ing. Jaroslav Začal, Ph.D. (examiner, instructor, lecturer, supervisor)
Prerequisites: none
 
Aims of the course:
Acquiring of the main knowledges and skills in computer technique. Achievment of elementary independence in operation with computer equipement, operating system and main programme enviromnent. Knowledges of the main algoritms used in data processing.
 
Course contents:
1.Theoretical introduction (allowance 12/12)
 
a.Fundamentals of the least squares method
b.Fundamentals of the graph creation
c.Iteration methods

2.Practical application (allowance 16/16)
 
a.Linear regression
b.Nonlinear regression
c.Seminar work

 
Learning outcomes and competences:
Generic competences:
 
-Ability to analyse and synthesize
-Ability to apply knowledge
-Ability to create new ideas (creativity)
-Ability to work independently
-Basic computing skills
-Capacity to learn
-General knowledge
-Professional knowledge
-Quality concept awareness
-Science and research skills
-Skilled at utilizing and processing information

Specific competences:
 
-Ability of active information retrieval
-Ability to elaborate laboratory protocol or scientific work
-Ability to record and theoretically analyse the experimental data
-Capability of independent data mining
-Creating of exactly reasoned findings on the basis of analysis of theoretical knowledge and skills, which are usable in studying of technical courses.

Type of course unit: required
Year of study: Not applicable - the subject could be chosen at anytime during the course of the programme.
Work placement: There is no compulsory work placement in the course unit.
Recommended study modules: -
 
Learning activities and study load (hours of study load):
Type of teaching methodDaily attendance
Direct teaching
     lecture28 h
     practice28 h
     consultation2 h
Self-study
     preparation of presentation14 h
     writing of seminar paper40 h
Total112 h
 
Assessment methods:
Solution and oral defence of the real data processing problem. Solution of the problem is presented as seminar work in the format of the programme Word. Document must contain problem description, explanantion of the solution, tables and graphs of the input and output data and result discussion. Document style must be equal to the diploma thesis of the AF MU.
 
Recommended reading:
TypeAuthorTitlePublished inPublisherYearISBN
RQBARILLA, J. -- SIMR, P.Microsoft Excel pro techniky a inženýryBrnoComputer Press2008978-80-251-2421-5
RQPECINOVSKÝ, J.Microsoft Word 2003 : podrobný průvodce začínajícího uživatelePrahaGrada Publishing200480-247-0791-8
RQPECINOVSKÝ, J. -- PECINOVSKÝ, R.Word 2007 pro pokročiléPrahaGrada2009978-80-247-2859-9
RQŠIMEK, T.Počítáme v ExceluPrahaGrada2007978-80-247-1769-2
RQHENDL, J.Přehled statistických metod zpracování datPrahaPortál2004978-80-7367-482-3
RQWILLIAM, C.Po stopách obchodního cestujícího : matematika na hranicích možnostíPrahaArgo2012978-80-7363-412-4
REMELOUN, M. -- MILITKÝ, J.Kompendium statistického zpracování dat: metody a řešené úlohyPrahaAcademia200680-200-1396-2
REWALKENBACH, J.Excel 2007 BibleUSAJohn Wiley2007978-0-470-04403-2
RELINOFF, G. -- BERRY, M.Data Mining Techniques: For Marketing, Sales, and Customer Relationship ManagementUSAJohn Willey2004978-0-471-47064-9
RECOX, J. -- PREPPERNAU, J.Microsoft Office Word 2007 Step by StepUSAMicrosoft20070-7356-2302-3
REKOLEKTIV, K.Word 2003
REVOSTÁREK, M.Excel 2003
RECOOK, W.Po stopách obchodního cestujícího : matematika na hranicích možnostíPrahaArgo2012978-80-7363-412-4

RQrequired
RErecommended


Last modification made by Ing. Michal Karhánek on 11/06/2018.

Type of output: