SYLLABUS
University: Technical University of Košice
Faculty: Faculty of Electrical Engineering and Informatics
Department: Department of Computers and Informatics
Course Number: 2607391 Course Name: Programming
Type, scope and method of learning activities:
Course Type: Lecture, Laboratory exercise
Recommended scope of the course content (in hours):
Full-time study (hours per week): 2,2
Part-time study (hours per semester): 26,26
Study Method:
Number of credits: 5
Recommended semester of study: ST
Recommended semester Study programme Study grade Study Method
1.rok ST Electrical Power Engineering (EE_Bc_D_en)
Physical Engineering of Advanced Materials (FIPM_Bc_D_sk)
Informatics (INF_Bc_D_sk)
Automotive Electronics (AE_Bc_D_sk)
Business informatics (HI_Bc_D_sk)
Electrical Power Engineering (EE_Bc_D_sk)
Informatics (INF_Bc_D_en)
Industrial Electrical Engineering (PE_Bc_D_sk)
Intelligent Systems (IntS_Bc_D_sk)
Applied Electrical Engineering (ApE_Bc_D_KM)
Applied Electrical Engineering (ApE_Bc_D_sk)
Cybersecurity (KB_Bc_D_sk)
Computer Modelling (PM_Bc_D_sk)
Electrical Power Engineering (EE_Bc_KM)
Applied Electrical Engineering (ApE_Bc_D_en)
Intelligent Systems (IntS_Bc_D_en)
Business informatics (HI_Bc_D_en)
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
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Bachelor
Bachelor
Bachelor
Bachelor
Bachelor
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Level of study:
Prerequisites:
Course completion requirements:
Assessment and completion of the course: Graded credit test
Continuous assessment:
tests, 2 projects, final test
Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 51% out of 100%.
exam
Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)
Learning outcomes:
Student obtains knowledge about basic elements of procedural programming language and he/she gains basic skills with structured and modular programming in procedural programming languages.
Brief course content:
1.Life cycle of programs, programming and programming languages.
2.Program as an implementation of data structures and algorithms in a programming language.
3.Design of more complex algorithms and related data structures.
4.Structured programming language, basic language constructs.
5.Data objects, operators, expressions, assignments, recursion.
6.Structured data types - arrays.
7.Scope of variables and subprograms, passing of parameters.
8.Structured data types - structures, unions, bit-fields
9.Utilization of structured and primitive data types for design of data structures.
10.Implementation of dynamic data structures and dynamic memory allocation.
11.Files.
12.Modular programming principles.
Recommended Reference Sources:
1. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein: Introduction to Algorithms Third Edition. MIT Press 2009. 1292 s. ISBN 978-0-262-03384-8
2. Brian W. Kernighan, Dennis Ritchie: C Programming Language. Prentice; Second edition (1988). 272 pp. ISBN 978-8120305960
3. K. N. King: C Programming: A Modern Approach, 2nd Edition. W. W. Norton a Company; 2 edition (April 19, 2008). 832 pp. ISBN 978-0393979503
4. Learn C The Hard Way - http://c.learncodethehardway.org/book/index.html (free e-book)
5. Key,  J.,  Kummerfeld,  B.:  C  programming  in  a UNIX enviroment. Addison-Wesley, Sydney, 1988.
Recommended optional program components:
Languages required for the course completion:
Notes:
Course assessment:
Total number of students assessed: 12267
  A B C D E FX  
  6% 6% 10% 16% 25% 38%  
Teacher:
doc. Ing. Eva Chovancová, PhD.
doc. Ing. Ján Genči, PhD.
Ing. Miroslav Biňas, PhD.
Last modified: 01.09.2022
Approved by: person(s) responsible for the study program