Course

Unit 1

Introduction to Digital Literacy 

Digital literacy and its applications in psychology and behavioural science; Components and concepts of digital literacy; 

Unit 2

Understanding the data basics 

Types of data; Size of the data; Accuracy; Format; Access rights, Data analysis, Storytelling with data 

Unit 3

Introduction to Data collection and Data management 

Types of data tools, Documentation of data, Digitalisation of data collection tools using Google Forms, Excel sheets and Word documents, Data dictionaries 

Unit 4

Data sources and data quality 

Identifying the authority of the data, Credibility of the data, reliability, Ethical considerations; Data policies

Text Books / References

References: 

• Learning practical digital skills with Google https://applieddigitalskills.withgoogle.com/en/learn

Course Objectives: 

• Introduce the concept of data literacy and its importance in psychology and behavioural science. 
• To provide learners with essential knowledge and abilities related to digital tools and technologies. 
• Explore methods of data collection and management for psychology and behavioural science applications. 

Course Outcomes: 

• CO1: ability to explore social and psychological data and understand basic characteristics of the data.
• CO2: ability to verify the available data source in terms of authenticity.
• CO3: ability to use fundamental software applications to access and verify data. 

Skills: 

• Competence to differentiate different forms of data 
• Generate, process or manage data using Microsoft Excel, Word, and Google Forms 
• Search and identify public data sources according to the requirements 

CO PO Mapping