IT 2700-L-DM-D4IT-DZI
LECTURE
During the classes, students will be familiarized with the state and conditions of IT development in relation to the media and their online functioning. The evolution of the Internet is presented mainly from a technological perspective. Fundamental socio-economic aspects caused by the progress of online communication are also discussed. Elements that have a significant impact on the media and their online evolution are highlighted. Current data on the condition and conditions of the Internet network are presented. The most important technological aspects of online communication - hardware and basic software tools for collecting, processing and transmitting digital information - are discussed. The essence of systems and standards of advanced IT tools used in the media is emphasized. Issues of various scales of computer networks (LAN, MAN, WAN) and IT security are highlighted. The future applications of computers and mechanisms for effective information search on the Internet and its positioning are also signaled. Social aspects such as the rules of netiquette and the fight against spam, the development of communication from Web 1.0 to Web 3.0, and the role of social networking sites in the evolution of the media are also discussed. The importance of issues related to the safe use of online resources was emphasized. The course also covers economic issues such as the evolution of media business in the global network (e.g. the use of Big Data and Open Data). Elements of the functioning of online advertising systems are discussed. Basic issues related to the functioning of artificial intelligence in the media are presented. Aspects of technological and social threats related to IT are emphasized.
CLASSES
Information Technologies – exercises
Exercises will consist of 7 thematic blocks (blocks may intermingle during the course of the class).
Introduction to the production and publication of content in modern media
Discussion of mechanisms of multimedia distribution, taking into account scalability and high quality streaming.
Analysis of various multimedia formats and resolutions, file formats and video and audio codecs – introduction.
Video standards in media
Technical parameters and standardization standards for consistency, compatibility and high quality in various media.
Fundamentals of video editing techniques and understanding of visual narration.
Standards for audio files in media
Information on audio format standards, their technical features, compression and practical applications.
Practical tips for audio editing and quality improvement.
Conversion of media files
The process of converting video, audio and graphic files to suit different media needs and platforms.
A discussion of graphic design basics and tools used in preparing multimedia projects.
Computer networks and multimedia content
Key aspects related to content distribution over computer networks, speed, bandwidth, broadcasting, transmission modes.
Fundamentals of Artificial Intelligence
Terminology and tools related to Artificial Intelligence in the context of AI systems design, implementation and analysis.
Use of Artificial Intelligence in the media
Practical application of AI-assisted applications and online resources in optimizing production, editorial and content distribution processes.
In this class we will use programs from the Adobe Creative suite and free programs, applications from the Internet.
Type of course
Course coordinators
Learning outcomes
At the end of the teaching cycle, the learning outcomes are as follows:
KNOWLEDGE:
Multimedia distribution mechanisms: Understanding the scalability and high quality of multimedia streaming, taking into account the differences between traditional TV platforms and the Internet.
Multimedia Formats: Introductory understanding of various multimedia formats - text, image, audio, video. Analysis of resolution, file formats and video and audio codecs.
Media video standards: Understanding of technical parameters and standardization standards used in the media industry to ensure consistency, compatibility, and high quality video across various media such as television, cinema, and streaming platforms.
Media audio file standards: Understanding media audio format standards, identifying standards and technical parameters used in various media contexts.
Conversion of video files, audio files, and graphics in media: Understand the process of converting video, audio, and graphics files in media, which includes changing encoding, compression, and optimizing technical parameters.
Computer Networks and Media Content: Understand key aspects related to multimedia content distribution, in the context of computer networks, covering network speed, bandwidth, data transfer, broadcasting - broadcast, transmission modes - duplex, and multicast -multicast.
Basic concepts related to Artificial Intelligence: Understanding of basic terms, definitions used in the field of Artificial Intelligence covering conceptual and technical aspects of the discipline, and key tools and technologies used in practice.
Usefulness of Artificial Intelligence-enhanced applications and online resources in media work: Understanding the practical use of applications and online resources that use Artificial Intelligence technologies, in the context of their role in media operations.
SKILLS:
* Creating and publishing multimedia content, including understanding distribution mechanisms such as scalability and high quality multimedia streaming.
* Optimization of the digital media content distribution process in streaming models.
* Analyze various multimedia formats including text, image, audio, and video, including resolution, file formats, video codecs, and audio.
* Understanding and applying technical parameters and standards for standardization in the media industry, such as image resolution, compression formats, frame rates, video codecs, and transmission protocols.
* Apply audio format standards to media, including the most popular audio file formats, their technical features, compression rates, and practical applications.
* Perform the process of converting video, audio, and image files in media, including changing encoding, compression, and optimizing technical parameters.
* Understand key aspects related to the distribution of multimedia content over computer networks, such as network speed, bandwidth, data transfer, broadcasting, and transmission modes.
* Proper communication, effective design, implementation and analysis of systems based on Artificial Intelligence.
* Practical use of Artificial Intelligence-based applications and online resources in the media.
ADDITIONAL COMPETENCIES:
Understanding multimedia distribution mechanisms:
Scaling and streaming multimedia including the differences between TV and Internet platforms.
Knowledge of various multimedia formats:
Analyzing resolutions, file formats and video and audio codecs.
Understanding media video standards:
Learning the technical parameters and standards of video standardization for consistency, compatibility and high quality.
Understanding audio file standards in media:
Identify audio format standards and their parameters in different media contexts.
Understanding the media file conversion process:
Ability to convert media data formats for different media needs and platforms.
Practical application skills:
Preparing short multimedia materials with adaptation of technical parameters to project requirements.
Understanding the operation of computer networks and their impact on multimedia content:
Learning key aspects of multimedia content distribution over computer networks.
Understanding basic concepts related to artificial intelligence (AI):
To learn the terminology and tools used in artificial intelligence.
To understand the usefulness of AI-supported applications and online resources in media work:
To become familiar with the practical use of AI-based applications and online resources in media operations.
Assessment criteria
LECTURE
Test on an electronic platform. Additional work on the Kampus platform performed in accordance with the recommendations may increase the final grade. Grading scale. Points/Ratings: 00-12 (2); 12.5-15 (3); 15.5-16.5 (3+); 17-18.5 (4); 19-19.5 (4+); 20-20.5 (5); 21(6). No possibility to improve a positive grade.
CLASSES
The final assessment consists of:
- Attendance at classes (2 unexcused absences are allowed);
- Preparation of a business model presentation (case study) in two-person teams (50%);
- Colloquium on the last class (50%);
- Possibility to pass, in addition to the colloquium, the work on the semester project carried out in teams (then 25% project / 25% colloquium)
To pass the course, you must obtain at least 51% of each of part
Grading scale: DST (51% -60%), DST Plus (61% -70%), DB (71% -80%), DB Plus (81% -90%), BDB (91% -100%)
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: