Course

Unit 1

Introduction to ICT for Professional Psychological Practices 

Theories and models of case management; Role of ICT in information and communication. 

Unit 2

Data and ethical considerations 

Understanding the data needs, exploring diverse data, evaluating data quality, and ethical considerations 

Unit 3

Introduction to data analysis 

Role of data analysis in psychology, mental health and behavioural sciences; Data analysis process and framework; Application of data analysis in social science

Unit 4

Descriptive data analysis 

Mean, median and mode; count; Average; Distribution; Demonstration through hands-on sessions. 

Unit 5

Introduction to computing 

Concepts of programming and computing; Introduction to scratch programming; Hands-on sessions on programming; Conditional statements; Control structures, Loops and constructs;

Text Books / References

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

Prerequisites: 

Course Objectives: 

• Introduce the use of ICT tools relevant for psychology and behavioural sciences. 
• Develop foundational skills in basic data analysis for psychology and behavioural sciences research. 

• To provide hands-on experience in exploring and describing public data sets, along with an evaluation of their reliability. 

Course Outcomes: 

• CO1: understands the basics of computer systems and acquires the ability to effectively utilise hardware and software facilities.
• CO2: Acquires the ability to calculate and interpret descriptive measures such as mean, median, and mode
• CO3: Acquire critical skills to identify different data sources and assess their relevance and reliability. 

Skills: 

• Capacity to understand the data needs specific to projects or cases 
• Browsing and searching for data sources 
• Descriptive analysis skills with Excel sheets 
• Scratch installation, Design process flow charts and Program concepts 

CO-PO Mapping