Cloud data processing - OENII1708Z

• Title: Cloud data processing
• Guaranteed by: Katedra informačních technologií a technické výchovy (41-KITTV)
• Faculty: Faculty of Education
• Actual: from 2022
• Semester: both
• E-Credits: 4
• Hours per week, examination: 0/1, MC [HT]
• Capacity: winter:unknown / unknown (unknown); summer:unknown / unknown (unknown)
• Min. number of students: unlimited
• 4EU+: no
• Virtual mobility / capacity: no
• State of the course: taught
• Language: English
• Teaching methods: full-time
• Teaching methods: full-time
• Note: enabled for web enrollment; priority enrollment if the course is part of the study plan; you can enroll for the course in winter and in summer semester
• Guarantor: PhDr. Jiří Leipert, Ph.D.
• Teacher(s): PhDr. Jiří Leipert, Ph.D.

Annotation

Last update: 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.

Aim of the course

Last update: 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.

Descriptors

Last update: 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

Literature

Last update: 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

Syllabus

Last update: 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

Course completion requirements

Last update: 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