FI:IB053 Efficient Programming Methods - Course Information
IB053 Efficient Programming Methods
Faculty of InformaticsSpring 2021
- Extent and Intensity
- 1/1/0. 2 credit(s) (plus extra credits for completion). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- Teacher(s)
- Mgr. Petr Steinmetz (lecturer)
RNDr. Nikola Beneš, Ph.D. (assistant) - Guaranteed by
- RNDr. Nikola Beneš, Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics
Contact Person: Mgr. Petr Steinmetz
Supplier department: Department of Computer Systems and Communications – Faculty of Informatics - Timetable
- Tue 17:00–17:50 Virtuální místnost
- Timetable of Seminar Groups:
- Prerequisites
- Knowledge of programming at some of languages C, C++, Pascal, Delphi, Java, C#; knowledge of object oriented programming; basic awareness of machine code
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 40 student(s).
Current registration and enrolment status: enrolled: 0/40, only registered: 0/40, only registered with preference (fields directly associated with the programme): 0/40 - fields of study / plans the course is directly associated with
- Image Processing and Analysis (programme FI, N-VIZ)
- Applied Informatics (programme FI, B-AP)
- Bioinformatics and systems biology (programme FI, N-UIZD)
- Bioinformatics (programme FI, B-AP)
- Bioinformatics (programme FI, N-AP)
- Computer Games Development (programme FI, N-VIZ_A)
- Computer Graphics and Visualisation (programme FI, N-VIZ_A)
- Computer Networks and Communications (programme FI, N-PSKB_A)
- Cybersecurity Management (programme FI, N-RSSS_A)
- Formal analysis of computer systems (programme FI, N-TEI)
- Graphic design (programme FI, N-VIZ)
- Graphic Design (programme FI, N-VIZ_A)
- Hardware Systems (programme FI, N-PSKB_A)
- Hardware systems (programme FI, N-PSKB)
- Image Processing and Analysis (programme FI, N-VIZ_A)
- Information security (programme FI, N-PSKB)
- Informatics with another discipline (programme FI, B-EB)
- Informatics with another discipline (programme FI, B-FY)
- Informatics with another discipline (programme FI, B-IO)
- Informatics with another discipline (programme FI, B-MA)
- Informatics with another discipline (programme FI, B-TV)
- Informatics (programme FI, B-INF) (2)
- Public Administration Informatics (programme FI, B-AP)
- Informatics in education (programme FI, B-IVV) (2)
- Information Security (programme FI, N-PSKB_A)
- Quantum and Other Nonclassical Computational Models (programme FI, N-TEI)
- Mathematical Informatics (programme FI, B-IN)
- Parallel and Distributed Systems (programme FI, B-IN)
- Computer graphics and visualisation (programme FI, N-VIZ)
- Computer Graphics and Image Processing (programme FI, B-IN)
- Computer Networks and Communication (programme FI, B-IN)
- Computer Networks and Communications (programme FI, N-PSKB)
- Computer Systems and Data Processing (programme FI, B-IN)
- Principles of programming languages (programme FI, N-TEI)
- Programming and development (programme FI, B-PVA)
- Programmable Technical Structures (programme FI, B-IN)
- Embedded Systems (programme FI, N-IN)
- Cybersecurity management (programme FI, N-RSSS)
- Services development management (programme FI, N-RSSS)
- Software Systems Development Management (programme FI, N-RSSS)
- Services Development Management (programme FI, N-RSSS_A)
- Service Science, Management and Engineering (programme FI, N-AP)
- Social Informatics (programme FI, B-AP)
- Software Systems Development Management (programme FI, N-RSSS_A)
- Software Systems (programme FI, N-PSKB_A)
- Software systems (programme FI, N-PSKB)
- Machine learning and artificial intelligence (programme FI, N-UIZD)
- Teacher of Informatics and IT administrator (programme FI, N-UCI)
- Informatics for secondary school teachers (programme FI, N-UCI) (2)
- Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
- Computer Games Development (programme FI, N-VIZ)
- Processing and analysis of large-scale data (programme FI, N-UIZD)
- Natural language processing (programme FI, N-UIZD)
- Course objectives
- Purpose of this lecture is to forward knowledge and experiences needed to development of software. A term "efficient programming" is here meant in two sense. Partly as work expended on creation of program that is to be efficient as possible and partly as program self whose implementation is also to be efficient as possible, i.e. so that computer while performs program makes minimum overhead (noneffective activity). Subject of lecture is not algorithm design self in term of complexity.
- Learning outcomes
- At the end of course student gains knowledge and routine leading to more efficient creation of software including more efficient implementation od algorithm.
- Syllabus
- Work efficiency in algorithm design.
- Cutback of error rate in program creation.
- Cutback of time needed to elimination of mistakes.
- Usage of earlier written parts of programs.
- Independence of program from later changes.
- Portability of program to other environment.
- Program efficiency.
- Data access mechanism.
- Implementation of program structures.
- Difference in interpreted and compiled languages.
- Literature
- HONZÍK, Jan M. Programovací techniky. 1. vyd. Brno: Rektorát Vysokého učení technického v Brně, 1985, 357 s. info
- Teaching methods
- Lectures, seminars, homeworks
- Assessment methods
- The course has a form of lectures (not required attendance) with a seminar (required attendance, eventually according to agreement), including solving of projekt with support at seminar (independently or partly collective). The course is concluded by colloquium.
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course is taught annually.
- Enrolment Statistics (Spring 2021, recent)
- Permalink: https://is.muni.cz/course/fi/spring2021/IB053