Cloud data processing - OENII1708Z

• Anglický název: Cloud data processing
• Zajišťuje: Katedra informačních technologií a technické výchovy (41-KITTV)
• Fakulta: Pedagogická fakulta
• Platnost: od 2022
• Semestr: oba
• E-Kredity: 4
• Rozsah, examinace: 0/1, KZ [HT]
• Počet míst: zimní:neurčen / neurčen (neurčen); letní:neurčen / neurčen (neurčen)
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: vyučován
• Jazyk výuky: angličtina
• Způsob výuky: prezenční
• Způsob výuky: prezenční
• Poznámka: povolen pro zápis po webu; při zápisu přednost, je-li ve stud. plánu; předmět lze zapsat v ZS i LS
• Garant: PhDr. Jiří Leipert, Ph.D.
• Vyučující: PhDr. Jiří Leipert, Ph.D.

Anotace

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

The aim of the study subject Cloud data processing is to reveal and analyze the principles of working with digital data in a cloud environment and to compare them with the traditional concept of working with digital information in the environment of locally installed applications.

Cíl předmětu

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

The aim of the study subject Cloud data processing is to reveal and analyze the principles of working with digital data in a cloud environment and to compare them with the traditional concept of working with digital information in the environment of locally installed applications.

The logical sequence of the subjects of the subject consists in building on the previous subjects (Basics of information technology, Processing and presentation of data on the computer) in the field of more advanced techniques in editing text, numerical and graphic information and demonstrating and further testing these in a cloud environment.

The mission of the course is both to find parallels between traditional and cloud work techniques and to discover the possibilities of their combination, as well as to maintain the emphasis on principled skills with the appropriate types of digital information with a naturally born distance from dependence on specific hardware and software platforms.

Deskriptory

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

Preparation for teaching
Expected preparation time for 1 exercise 60 minutes
Self-study of literature (per semester) 5 hours
Work with study materials (per semester) 5 hours
Completion of ongoing tasks (per semester) 20 hours

Subject fulfillment
Seminar work 3 hours
Preparation for credit 4 hours

Literatura

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

LEIPERT, Jiří. The evolution of cloud platforms for learning. In: Information and Communication Technology in Education.: Proceedings. first, 2013. Ostrava: Repronis, 2013, s. 143-148. ISBN 978-80-7464-324-8.

help pages at: https://classroom.google.com/h

Sylabus

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

PRINCIPLES OF THE CLOUD ENVIRONMENT
· Web browser environment, principles of working with cloud information, BYOD
· URL, network services, bookmarks, streaming, instant communication
· Account binding, synchronization, security, two-factor authentication
· Account settings, browser extensions, network OS, secure logout

ORIENTATION IN CLOUD SERVICES

· Principle and possibilities of cloud storage, connection with applications, quota
· Means of network communication (mail, chat, social networks)
· Means of network work (office formats, graphic and media editors)
· Means of network collaboration (sharing, comments, revisions, editing suggestions)
· Work on a shared project (Form, mind maps, diagram, roles)
· Publishing cloud data (creating and publishing an information system)

SELECTED CLOUD ENVIRONMENT
· Google Apps for Education - departmental domain accounts, storage access
· Electronic support - linking Moodle, Google Drive and Classroom
· Other online offices - 365 and One Drive, Zoho and Only Office, Libre Office stream
· video conference, realtime API
· Project timeline - shared calendars, Events, Hangouts
· Connection of services within Disk, domain, account and project

Podmínky zakončení předmětu

Poslední úprava: PhDr. Jiří Leipert, Ph.D. (26.01.2023)

Requirements for credit

· Active work in seminars
· Processing of sub-tasks in individual topics and selected reports
· Processing, timely submission and defense of the seminar work according to the assignment