SubjectsSubjects(version: 948)
Course, academic year 2023/2024
  
Advanced programming and technologies of programming - P409011
Title: Pokročilé programování a programovací technologie
Guaranteed by: Department of Chemical Engineering (409)
Faculty: Faculty of Chemical Engineering
Actual: from 2023
Semester: both
Points: 0
E-Credits: 0
Examination process:
Hours per week, examination: 3/0, other [HT]
Capacity: winter:10 / unknown (unknown)
summer:unknown / unknown (unknown)
Min. number of students: unlimited
Language: Czech
Teaching methods: full-time
Teaching methods: full-time
Level:  
For type: doctoral
Note: course is intended for doctoral students only
can be fulfilled in the future
you can enroll for the course in winter and in summer semester
Guarantor: Zubov Alexandr Ing. Ph.D.
Grof Zdeněk doc. Ing. Ph.D.
Is interchangeable with: AP409011
This subject contains the following additional online materials
Annotation -
Last update: Grof Zdeněk doc. Ing. Ph.D. (21.06.2022)
*** Seminars will be organized during both the winter and summer semesters (October to April). We ask all students who wish to participate in this course to contact the teachers before winter semester starts (middle of September) at the latest. Information about seminars will be send to all who have applied. *** Become familiar with basic programming technologies, data structures and algorithms. Learn to write clear and easily maintained computer programs. The course will focus on Fortran 90/95 programming language and its latest generations (Fortran 2003/2018). Generally become familiar with the characteristics and possibilities of other computer languages such as C/C++ and Python, for example, and techniques for interoperation of these languages. Become familiar with the concepts of paralelization (MPI and OpenMP).
Aim of the course -
Last update: Grof Zdeněk doc. Ing. Ph.D. (21.06.2022)

The student will be able to

  • focus on the most important programming technologies

  • write concise, clear, and easily maintainable computer programs and use the programming handwriting

  • use modern Fortran programming language

  • read and understand programs written in C, C++, and Python

  • design and use complex data structures

  • analyze and implement algorithms for various purposes

  • parallelize programs by using the MPI

Literature -
Last update: Grof Zdeněk doc. Ing. Ph.D. (21.06.2022)

Curcic M: Modern Fortran - Building efficient parallel applications, Manning, 2020.

Metcalf M, Reid J, Cohen M: Modern Fortran explained: icorporating Fortran 2018, Oxford University Press, 2018.

Clerman N S, Spector W: Modern Fortran: style and usage, Cambridge University Press, 2012.

Ray S, Fortran 2018 with parallel programming, CRC Press, 2020.

Horton I: Ivor Horton's Beginning Visual C++ 2013, Willey, 2014.

Hubbard J R: Programming with C++, Schaum's outline series, McGraw-Hill, 1996.

Chacon S, Straub B, Pro Git, Apres, 2014. [open source, available from https://git-scm.com/book]

Additional references from Internet (programming languages: manuals, tutorials, etc.)

Syllabus -
Last update: Grof Zdeněk doc. Ing. Ph.D. (26.04.2023)

1. Introduction, data representation, programming in Fortran I.

2. Programming in Fortran II.

3. Defined data types in Fortran, pointers, arrays and linked-lists.

4. Abstract data structures (queue, stack), basic principles of object-oriented programming.

5. Recursion, sorting algorithms.

6. Binary search trees, graph traversal and path searching.

7. Fortran I/O, formatting.

8. Parallelization with MPI I.

9. Parallelization with MPI II.

10. Programming style, teamwork in software writing, version control systems (git and github).

11. Python (introduction and binding with Fortran programs).

12. C programming language (how understand programs written in C and their binding with Fortran).

Registration requirements -
Last update: Grof Zdeněk doc. Ing. Ph.D. (21.06.2022)

Students with basic programming skills (programming in Fortran, C, Matlab, or Python, for example) and general knowledge of programming technologies and algorithms will have an advantage.

However, the course schedule will allow the students to catch up on their missing knowledge by a self-study or consultations.

Course completion requirements -
Last update: Grof Zdeněk doc. Ing. Ph.D. (08.06.2021)

Development of programming projects that will be handed out during the seminars.

A final discussion on submitted projects.

 
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