Veidlapa Nr. M-3 (8)
Study Course Description
Digital Literacy
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
Didzis Lauva
Structure Unit Manager
Daiga Behmane
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
General knowledge at the secondary school level and basic computer skills: the ability to use a computer and web browser, manage files and folders, and perform basic tasks with digital information. No prior knowledge or skills in programming are required.
Learning Outcomes
Knowledge
1.Describes the fundamental concepts, development, and significance of digital literacy in the modern digital environment.
Individual work and tests
Digital Literacy and Digital Resources in Healthcare
2.Explains the basic principles of digital platforms, digital infrastructure, and information resources, as well as their potential uses.
Individual work and tests
Digital Literacy and Digital Resources in Healthcare
3.Explains the basic principles of data acquisition, classification, preprocessing, Big Data, and cybersecurity.
Individual work and tests
Organisation, Acquisition and Preparation of Digital Information
Skills
1.Uses digital platforms and information resources to search for, retrieve, and compile information.
Individual work and tests
Organisation, Acquisition and Preparation of Digital Information • Digital Literacy and Digital Resources in Healthcare
2.Classifies, organises, and prepares data for further analysis using spreadsheet software and other digital tools.
Individual work and tests
Organisation, Acquisition and Preparation of Digital Information • Data Analysis and Visualisation
3.Creates and interprets data graphs and charts, selecting a visualisation method appropriate to the nature of the data and the purpose of the analysis.
Individual work and tests
Data Analysis and Visualisation
4.Analyses structured datasets using digital tools and formulates data-driven conclusions.
Individual work and tests
Data Analysis and Visualisation • Organisation, Acquisition and Preparation of Digital Information
Competences
1.Evaluates the quality, reliability, and suitability of digital information and data for solving a specific task.
Individual work and tests
Data Analysis and Visualisation • Organisation, Acquisition and Preparation of Digital Information • Cybersecurity and Protection of Patient Data
2.Identifies and evaluates cybersecurity and digital information protection risks and selects appropriate risk mitigation measures.
Individual work and tests
Cybersecurity and Protection of Patient Data
3.Independently solves practical tasks in the digital environment by selecting and appropriately applying suitable digital tools for information and data processing, analysis, and presentation of results.
Individual work and tests
Cybersecurity and Protection of Patient Data • Data Analysis and Visualisation
Assessment
Individual work
|
Title
|
% from total grade
|
Grade
|
|---|---|---|
|
1.
Digital Literacy and Digital Resources in Healthcare |
34.00% from total grade
|
Test
|
|
The student independently completes e-learning lessons on the fundamentals of digital literacy, the development of digital technologies, authentication, and digital resources used in healthcare. During each lesson, the student studies the theoretical material and completes the integrated assessment questions. If the first answer is incorrect, the student is given an opportunity to review the relevant section of the theoretical material and answer again. |
||
|
2.
Organisation, Acquisition and Preparation of Digital Information |
34.00% from total grade
|
Test
|
|
The student independently completes e-learning lessons on the digital information life cycle, information classification, data preprocessing, Big Data, and data acquisition methods. The student completes integrated theoretical and practical assessment tasks, including tasks involving data classification, filtering, sorting, and preparation for further processing. |
||
|
3.
Data Analysis and Visualisation |
32.00% from total grade
|
Test
|
|
The student independently completes e-learning lessons on data analysis tools, descriptive statistics, graphical representation of digital information, and chart types. The student completes integrated assessment tasks on data analysis, selection and interpretation of graphs and charts, and their appropriate use. |
||
|
4.
Cybersecurity and Protection of Patient Data |
-
|
-
|
|
The student independently completes an e-learning lesson on cybersecurity in healthcare, common cyber threats, social engineering, and methods for protecting digital information. The student completes integrated assessment questions and evaluates situations related to the confidentiality, integrity, and availability of patient data. |
||
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. |
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Study Course Theme Plan
FULL-TIME
Part 1
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Digital literacy. Introduction.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Digital infrastructure in the health sector.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Information acquisition and research methods.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Data processing tools and data analysis.
|
-
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
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Digital literacy. Introduction.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Digital infrastructure in the health sector.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Information acquisition and research methods.
|
-
Unaided Work
|
Modality
|
Location
|
Contact hours
|
|---|---|---|
|
Off site
|
E-Studies platform
|
0
|
Topics
|
Data processing tools and data analysis.
|
-
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. (akceptējams izdevums)
2.
Author(s): Janice Richardson, Dr. Elizabeth Milovidov, J.D., Martin Schmalzried. Internet literacy handbook. 2017 (akceptējams izdevums)
3.
The Cyber Safety Handbook (akceptējams izdevums)
Additional Reading
1.
The Data Journalism Handbook (akceptējams izdevums)
2.
Excel Fundamentals - Manual (akceptējams izdevums)
Other Information Sources
1.
Fundamentals of Data Visualization (akceptējams izdevums)