Veidlapa Nr. M-3 (8)
Study Course Description

Digital Literacy

Main Study Course Information

Course Code
VVDG_042
Branch of Science
Media and communications
ECTS
3.00
Target Audience
Business Management; Communication Science; Dentistry; Health Management; Information and Communication Science; Management Science; Medical Technologies; Medicine; Nursing Science; Pharmacy; Political Science; Public Health; Rehabilitation
LQF
All Levels
Study Type And Form
Full-Time; Part-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Health Management Teaching Group
Contacts

Dzirciema street 16, Rīga

About Study Course

Objective

The purpose of the digital literacy course is to provide students with knowledge, skills and competences in the use of digital technologies.

Preliminary Knowledge

Not required.

Learning Outcomes

Knowledge

1.Participants of the "Digital Literacy" course will gain knowledge about the fundamentals of digital literacy and the history of its development. They will familiarize themselves with digital paradigms and their change, understand the nature and functionality of various digital platforms (latvija.lv, eveseliba.lv, datamed.lv), and also analyze the importance of digital infrastructure and resources. In addition, participants will learn information acquisition and research methods in the context of digital literacy, delving into data classification and pre-processing. The course will also include the understanding of the basic principles of Big Data and the skills to use Excel in data preparation, providing a full-fledged analysis of the prepared data. Finally, participants will gain knowledge about cyber security issues and how to effectively protect digital information.

Skills

1.Upon completion of this course, participants will develop specific skills required for digital literacy. They will be able to successfully use different digital platforms and resources, for example, they will acquire skills in data research, information acquisition and analysis. Participants will develop skills in data classification and data preprocessing using Excel and other toolsets. They will also learn skills in working with various graphs and charts, as well as their correct interpretation and presentation. The course will also develop skills in big data processing.

Competences

1.By completing the "Digital Literacy" course, participants will develop broad competencies that are essential in the digital environment. They will acquire the skills to successfully manage digital information and data, being able to classify, organize and ensure high data quality prior to research analysis. In the area of big data analysis, participants will learn the skills to use tools such as Excel and identify trends characteristic of big data. Participants will also develop the ability to create and interpret various graphs and charts, effectively visualizing data and ensuring its proper presentation. Competence in the field of cyber security is also promoted during the course, providing participants with the skills to identify potential risks and take measures to mitigate them in the digital environment. In this context, participants will learn the ability to solve practical problems by applying the acquired knowledge and skills, and create creative solutions to challenges in the digital environment. Communication skills and collaboration abilities in the digital environment are developed, allowing participants to interact effectively, especially when working with data and information. Together, these competencies will form a strong foundation for participants' digital literacy and prepare them to function successfully in the digital environment.

Assessment

Individual work

Title
% from total grade
Grade
1.

Individual work

-
-
Learning of the "Digital Literacy" course takes place independently using the e-study activities "Lesson". Tasks are implemented in each lesson. These tasks include tasks dealing with digital information and data, analysis of graphs and charts, cyber security questions and other practice-oriented tasks. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.

Examination

Title
% from total grade
Grade
1.

Examination

-
-
The evaluation of the "Digital Literacy" course is based on the participants' participation and performance in the activities published in e-studies. Each activity is evaluated with a certain number of points.

Study Course Theme Plan

FULL-TIME
Part 1
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital literacy. Introduction.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital infrastructure in the health sector.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Information acquisition and research methods.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Data processing tools and data analysis.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital ethics and cyber security.
Total ECTS (Creditpoints):
3.00
Contact hours:
0 Academic Hours
Final Examination:
Exam (Written)
PART-TIME
Part 1
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital literacy. Introduction.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital infrastructure in the health sector.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Information acquisition and research methods.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Data processing tools and data analysis.
  1. Unaided Work

Modality
Location
Contact hours
Off site
E-Studies platform
0

Topics

Digital ethics and cyber security.
Total ECTS (Creditpoints):
3.00
Contact hours:
0 Academic Hours
Final Examination:
Exam (Written)

Bibliography

Required Reading

1.

A Guide to Microsoft Excel 2013 for Scientists and Engineers. by Bernard Liengme. Elsevier Science & Technology, 2015.

2.

Author(s): Janice Richardson, Dr. Elizabeth Milovidov, J.D., Martin Schmalzried. Internet literacy handbook. 2017

3.

The Cyber Safety Handbook

Additional Reading

1.

The Data Journalism Handbook

2.

Excel Fundamentals - Manual

Other Information Sources

1.

Fundamentals of Data Visualization