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Course Detail

Course Name Introduction to Computing Level 4
Course Code 26PSY215
Program B.Sc. Psychology (Hons.)
Semester 4
Credits 3
Campus Coimbatore, Nagercoil

Syllabus

Unit 1

Data collection and management 

Types of social data: Data collection tools and digitalisation (Google form, Survey CTO, Kobo Toolbox, ArcGIS Field Maps); Ethical considerations 

Unit 2

Introduction to Exploratory Data Analysis and Data Visualization

Data cleaning; Descriptive statistics; Univariate analysis; Handling missing data; Types of visualisations; Types of charts and graphs; ethics and principles. 

Unit 3

Introduction to Data Visualisation 

Microsoft Excel; Google Maps; Power BI, Tableau Public; Writing inferences and reports;

Text Books / References

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

Objectives and Outcomes

Course Objectives: 

  • Gain comprehensive Understanding of Social, psychological, psychosocial and socio-cultural Data.
  • Gain proficiency in Data Collection Tools and understand the ethical consideration behind the tools.
  • Introduce the principles of exploratory data analysis (EDA) and provide a foundation in data cleaning, descriptive statistics, and basic analysis. 
  • Introduce various data visualisation techniques, including handling missing data, types of visualisations, and the ethical principles associated with data visualisation. 

Course Outcomes: 

  • CO1: A solid foundation in social data collection, management, exploratory data analysis, and data visualisation, emphasising both theoretical understanding and practical skills using relevant tools
  • CO2: Gains hands-on experience with popular data collection tools like Google Forms and Survey CTO
  • CO3: Gains hands-on experience with popular data visualisation tools such as Microsoft Excel, Google Maps, and Tableau Public.
  • CO4: Ability to write clear and insightful reports based on data analysis and effectively communicate findings.

Skills: 

  • Experience in data collection and fundamental analysis 
  • Configurations of digitalisation tools like Google Forms and Survey CTO 
  • Graphs and plots using Google Spreadsheets and Tableau. 
  • Writing data analysis inferences. 

CO PO Mapping

  PO1 PO2 PO3 P04 P05 PSO1 PSO2 PS03 PSO4
CO1     1       1    
CO2     1       1    
CO3     1       1    

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