Title:

Introduction to Programming Systems

Code:IZP
Ac.Year:2018/2019
Term:Winter
Curriculums:
ProgrammeFieldYearDuty
IT-BC-3BIT1stCompulsory
Language of Instruction:Czech
Public info:http://www.fit.vutbr.cz/study/courses/IZP/public/
Credits:7
Completion:credit+exam (written)
Type of
instruction:
Hour/semLecturesSeminar
Exercises
Laboratory
Exercises
Computer
Exercises
Other
Hours:39120207
 ExamsTestsExercisesLaboratoriesOther
Points:54128026
Guarantor:Kreslíková Jitka, doc. RNDr., CSc. (DIFS)
Deputy guarantor:Smrčka Aleš, Ing., Ph.D. (DITS)
Lecturer:Kreslíková Jitka, doc. RNDr., CSc. (DIFS)
Smrčka Aleš, Ing., Ph.D. (DITS)
Instructor:Češka Milan, RNDr., Ph.D. (DITS)
Havlena Vojtěch, Ing. (DITS)
Hruška Martin, Ing. (DITS)
Husa Jakub, Ing. (DCSY)
Iša Radek, Ing. (DCSY)
Malík Viktor, Ing. (DITS)
Matyáš Jiří, Ing. (DITS)
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS)
Pánek Richard, Ing. (DCSY)
Regéciová Dominika, Ing. (DIFS)
Rozman Jaroslav, Ing., Ph.D. (DITS)
Smrčka Aleš, Ing., Ph.D. (DITS)
Trchalík Roman, Mgr., Ph.D. (DIFS)
Veigend Petr, Ing. (DITS)
Wrona Jan, Ing. (DCSY)
Zobal Lukáš, Ing. (DIFS)
Faculty:Faculty of Information Technology BUT
Department:Department of Information Systems FIT BUT
Follow-ups:
Algorithms (IAL), DIFS
Substitute for:
Algorithms and Programming (APR), DIFS
Schedule:
DayLessonWeekRoomStartEndLect.Gr.St.G.EndG.
Moncomp.lab - Asistent IšalecturesN10407:0008:501BIA2020
Moncomp.lab - Asistent MalíklecturesN10507:0008:501BIA2121
MonlecturelecturesD10509:0010:501BIA
MonlecturelecturesD020709:0010:501BIA
MonlecturelecturesD10509:0010:502BIAxxxx
MonlecturelecturesD10509:0010:502BIBxxxx
Moncomp.lab - Asistent RozmanlecturesN10314:0015:501BIB3333
Moncomp.lab - Asistent OčenášeklecturesN10414:0015:501BIB3434
Moncomp.lab - Asistent ČeškalecturesN10514:0015:501BIB3535
Moncomp.lab - Asistent HusalecturesN10316:0017:501BIB3636
Moncomp.lablecturesN10416:0017:501BIBxxxx
Moncomp.lab - Asistent TrchalíklecturesN10516:0017:501BIB3838
MonlecturelecturesE11217:0017:501BIA
MonlecturelecturesE10417:0017:501BIA
MonlecturelecturesE10517:0017:501BIA
MonlecturelecturesE11217:0017:502BIAxxxx
MonlecturelecturesE11217:0017:502BIBxxxx
Moncomp.lab - Asistent HusalecturesN10318:0019:501BIA1010
Moncomp.lab - Asistent WronalecturesN10418:0019:501BIA1111
Moncomp.lab - Asistent RegécioválecturesN10518:0019:501BIA1212
Tuecomp.lab - Asistent MatyášlecturesN10308:0009:501BIB3939
Tuecomp.lab - Asistent HavlenalecturesN10408:0009:501BIB4040
Tuecomp.lab - Asistent MalíklecturesN10508:0009:501BIB4141
TueexerciselecturesE11210:0010:501BIA1024
TueexerciselecturesE10410:0010:501BIA1024
TueexerciselecturesE10510:0010:501BIA1024
TueexerciselecturesE11210:0010:502BIAxxxx
TueexerciselecturesE11210:0010:502BIBxxxx
Tuecomp.lab - Asistent VeigendlecturesN10314:0015:501BIB3030
Tuecomp.lab - Asistent RozmanlecturesN10414:0015:501BIB3131
Tuecomp.lab - Asistent PáneklecturesN10514:0015:501BIB3232
Tuecomp.lab - Asistent VeigendlecturesN10316:0017:501BIA1313
Tuecomp.lab - Asistent ZoballecturesN10416:0017:501BIA1414
Tuecomp.lab - Asistent PáneklecturesN10516:0017:501BIA1515
Tuecomp.lab - Asistent IšalecturesN10318:0019:501BIA1616
Tuecomp.lab - Asistent ZoballecturesN10418:0019:501BIA1717
Tuecomp.lab - Asistent PáneklecturesN10518:0019:501BIA1818
Wedcomp.lab - Asistent HruškalecturesN10308:0009:501BIA1919
Wedcomp.lablecturesN10408:0009:50
Wedcomp.lablecturesN10508:0009:50
WedlecturelecturesD10510:0011:501BIB
WedlecturelecturesD020710:0011:501BIB
WedlecturelecturesD10510:0011:502BIAxxxx
WedlecturelecturesD10510:0011:502BIBxxxx
Wedcomp.lab - Asistent MatyášlecturesN10310:0011:501BIA2222
Wedcomp.lab - Asistent RozmanlecturesN10410:0011:501BIA2323
Wedcomp.lab - Asistent ČeškalecturesN10510:0011:501BIA2424
Wedcomp.lablecturesN10312:0015:50
Wedcomp.lablecturesN10412:0015:50
Wedcomp.lablecturesN10512:0015:50
Wedcomp.lab - Asistent HavlenalecturesN10316:0017:501BIB4242
Wedcomp.lab - Asistent HusalecturesN10416:0017:501BIB4343
Wedcomp.lab - Asistent HruškalecturesN10516:0017:501BIB4444
Wedcomp.lab - Asistent Regéciová, (tpl 25)lecturesN10318:0019:502BIAxxxx
Wedcomp.lablecturesN10418:0019:502BIBxxxx
Wedcomp.lablecturesN10518:0019:50
Thucomp.lablecturesN10308:0017:50
Thucomp.lablecturesN10408:0009:50
Thucomp.lablecturesN10508:0009:50
ThulecturelecturesD10509:0009:501BIB
ThulecturelecturesD020609:0009:501BIB
ThulecturelecturesD10509:0009:502BIAxxxx
ThulecturelecturesD10509:0009:502BIBxxxx
ThuexerciselecturesD10510:0010:501BIB3044
ThuexerciselecturesD020610:0010:501BIB3044
ThuexerciselecturesD10510:0010:502BIAxxxx
ThuexerciselecturesD10510:0010:502BIBxxxx
Thucomp.lablecturesN10512:0019:50
Thucomp.lablecturesN10414:0017:50
Thucomp.lab - Rezerva, (tpl 46)lecturesN10418:0019:502BIAxxxx
Thucomp.lab - Asistent Wrona (tpl 45)lecturesN10318:0019:502BIBxxxx
Fricomp.lablecturesN10308:0018:50
Fricomp.lablecturesN10408:0018:50
Fricomp.lablecturesN10508:0018:50
Friexam - Půlsemestrální test2018-11-16D10516:0017:501BIA
Friexam - Půlsemestrální test2018-11-16E11216:0017:501BIB
Friexam - Půlsemestrální test2018-11-16D020616:0017:502BIA
Friexam - Půlsemestrální test2018-11-16D020716:0017:502BIB
Friexam - Půlsemestrální test2018-11-16E10416:0017:501BIA
Friexam - Půlsemestrální test2018-11-16E10516:0017:501BIB
Friexam - Půlsemestrální test2018-11-16A11216:0017:501BIA
Friexam - Půlsemestrální test2018-11-16A11316:0017:501BIB
Friexam - Půlsemestrální test2018-11-16G20216:0017:501BIA
 
Learning objectives:
  To grasp an analysis of problems and to determine basic algorithms for their solving. To acquaint oneself with principles and features of high programming language and to possess them for implementing of algorithms. To learn how to use tools for program debugging. To get basic knowledge of data representation in computers memory. To make the acquaintance of testing principles of programs. To possess active basic algorithms. To learn how to document, to present, and to defend the reached results.
Description:
  Algorithms and problem solving: strategy of problem solving, structured decomposition, concept and features of algorithm. Basic programming construction: syntax and semantics of high programming language, variables, types, expressions, control structures, procedures and functions, parameter passing, input/output, exceptional state processing. Basic data structures: simple data types, structured data types: array, record, file, strings. Dynamic data structures, concept of pointers. Strategy for selecting appropriate data structure. Recursion, concept of recursion. Global and local variables. Simple recursive functions (procedures). Modular Design and abstraction. Concepts will be illustrated by using appropriate programming language. (ISO/IEC 9899:1999 Programming languages - C)
Knowledge and skills required for the course:
  This course is placed in the winter term of the first year of the bachelors study programme. Thus, we expect that students have the high school level knowledge of mathematics and using computers.
Subject specific learning outcomes and competences:
  Student acquaints with the methods of analysing and designing simple computer algorithms. The fundamental concepts of programming languages will be introduced to the student. Student will learn how to write programs in high programming languages and how to understand and use the EBNF to describe programming language syntax. Student will also acquire basic English terminology of programming, syntax, and semantics of programming language. Student will acquainted with testing principles of programs. Student will learn how to document, to present, and to defend the reached results.
Generic learning outcomes and competences:
  Student will learn the computer-aided solving of simple problems by elaborating projects. Student will learn to create the program documentation and defend the results of project solving.
Why is the course taught:
  After taking the Introduction to Programming Systems, student should be able to understand the basic notions, algorithms, and principles of high level programming languages. A student will have a good skill of the programming and debugging in C language. The knowledge can be used in various areas of software development.
Syllabus of lectures:
 
  1. Introduction to the arrangement of studying. Structure and goals of classes. Properties of algorithms, notations for describing algorithms.
  2. Problem solving techniques. Design and implementation of algorithms.
  3. Principles of high level programming languages. Symbols and separators, constants, identifiers, variables, numbers repesentation, labels.
  4. The concept of data. Simple data types. Expressions and statements.
  5. Control structures. Blocks, scope, and activation.
  6. Functions, parameters of functions.
  7. Programs debugging.
  8. Text files, standard input and output.
  9. Structured data types.
  10. Recursion in programming.
  11. Pointer types and dynamic variables. Linked structures.
  12. Advanced programs debugging, verification, validation and documentation of source code.
  13. Modular construction of program.
Syllabus of numerical exercises:
 
Demonstration lessons:
  1. The elementary program development tools
  2. Programs compilation and running
  3. Simple programs in C language
  4. Data types, data types casting
  5. Control structures
  6. Functions, working with strings
  7. Basic debugging methods, debugging and profiling tools
  8. Programs input and output
  9. Recursion
  10. Working with memory
  11. Source code documentation, testing basics
  12. Modular programming, basics of plug-ins

 

Syllabus of computer exercises:
 
  1. Operating instructions, log in intranet, registration at laboratory, email instruction, news groups IZP, Unix for beginner, Dev C++ environment.
  2. Next seminars correspond to the content of individual lectures and demonstrate the presented topics. Defences of 3 projects. Computer practises contents: Making of programs, functions. Controll structures, strings and stdio. Pointer type, storage allocation. File operations. Recurzive problems solving. Matrix operations.
Syllabus - others, projects and individual work of students:
 
  1. Basic program construction in C language.
  2. Recurrence problem solving.
  3. Computations with matrixes.
  4. Project source code documentation.
Fundamental literature:
 
  • Herout, P.: Učebnice jazyka C, Kopp, České Budějovice, 2009, 6. vyd., ISBN 978-80-7232-383-8.
  • Cormen, T.: Introduction to Algorithms, The MIT Press, 2001, ISBN 0262032937.
  • BS ISO/IEC 9899:2011, Information technology. Programming languages. C, 2012, ISBN 978 0 580 80165 5. 
  • The C Standard : Incorporating Technical Corrigendum 1, by Standards Institute British, John Wiley & Sons, 2002, ISBN 0470845732.
  • Kadlec, V.: Učíme se programovat v jazyce C, Computer Press, Praha, 2005, ISBN 80-7226-715-9.
  • Wirth, N.: Algoritmy a štruktúry údajov, Alfa Bratislava, 1988.
  • Cormen, T.: Introduction to Algorithms, The MIT Press, 2001, ISBN 0262032937. 
  • Harbison, P.: C: A Reference Manual (5th Edition), Prentice Hall, 2002, ISBN 013089592X.
  • Schildt, H.: Teach Yourself C, McGraw-Hill Companies, 2001.
Study literature:
 
  • McConnell, S.: Code Complete, Microsoft Press, 2004, ISBN 0735619670.
  • Kernighan, B. W.: The Practice of Programming, ADDISON-WESLEY, 2003, ISBN 020161586X.
  • Teaching materials available on WWW.
Controlled instruction:
  
  • Realisation and delivery of 3 home assignments.
  • Demonstration of home assignments during computer practises.
  • 10 computer practices.
  • Delivered and controlled the source code documentation of one project.
  • Mid-term written test.
  • Final written examination.
Progress assessment:
  
  • Evaluated home assignments with the defence - 26 points.
  • Computer practices - 8 points.
  • Mid-term written examination - 12 points.
  • Final written examination - 54 points.
Exam prerequisites:
  
  • Student has to get at least 20 of the points from the projects, practise and mid-term test for receiving the credit and then for entering the final exam.
  • Plagiarism and not allowed cooperation will cause that involved students are not classified and disciplinary action can be initiated.
 

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