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Programming and Algorithmics 1 - N500002

Title:	Programování a algoritmizace 1
Guaranteed by:	CTU in Prague, Faculty of Information Technology (500)
Faculty:	University of Chemistry and Technology, Prague
Actual:	from 2020
Semester:	winter
Points:	winter s.:6
E-Credits:	winter s.:6
Examination process:	winter s.:
Hours per week, examination:	winter s.:2/4, C+Ex [HT]
Capacity:	unknown / unknown (unknown)
Min. number of students:	unlimited
Qualifications:
State of the course:	cancelled
Language:	Czech
Teaching methods:	full-time
Level:

Guarantor:	Vagner Ladislav Ing. Ph.D.
Is interchangeable with:	B500001, B50001

Examination dates Schedule

Annotation -

Students gain the ability to formulate algorithms for solving basic problems and write them in the C language. They understand data types (simple, structured, pointers), expressions, statements, functions, concept of recursion. They learn to analyse simple cases of algorithm complexity. They know fundamental algorithms for searching, sorting, and manipulating with linked lists.

Last update: Jirát Jiří (10.01.2014)

Literature -

R:Brassard, G., Bratley, P. ''Fundamentals of Algorithmics.'' Prentice Hall, 1995. ISBN 0133350681.

R:Sedgewick, R. ''Algorithms in C, Parts 1--5.'' Addison Wesley, 2001. ISBN 0201756080.

Last update: Jirát Jiří (10.01.2014)

Syllabus -

1. Algorithm, program, programming languages. Development environments.

2. Variables, assignment statement, input and output for integer data types.

3. Data types for real numbers. Expressions.

4. Control structures, branching, cycles.

5. Functions, input/output parameters.

6. Decomposition of a problem into subproblems, recursion.

7. Arrays, strings.

8. Pointers, dynamic variables.

9. Files.

10. Complexity of algorithms, sorting and searching.

11. Structures, structured files.

12. Linked lists.

13. Modular programming, other features of C.

Last update: Jirát Jiří (10.01.2014)

Learning resources -

https://edux.fit.cvut.cz/courses/BI-PA1/

(login necessary)

Last update: Jirát Jiří (10.01.2014)

Learning outcomes -

Students will be able to:

Understand fundamental algorithmics.

Use procedural programming skills that are crucial for further studying.

Last update: Jirát Jiří (31.01.2014)

Entry requirements

none

Last update: Jirát Jiří (10.01.2014)

Registration requirements - Czech

žádné

Last update: Jirát Jiří (10.01.2014)

Teaching methods
	Activity	Credits	Hours
	Účast na přednáškách	1	28
	Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi	0.5	14
	Práce na individuálním projektu	2	56
	Příprava na zkoušku a její absolvování	0.5	14
	Účast na seminářích	2	56
		6 / 6	168 / 168