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CBSE Class-12 Syllabus 2019-20 (Informatics Practices)

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CBSE Class-12 Syllabus 2019-20 (Informatics Practices)

Informatics Practices(New)
Code No. 065

Optional for the academic year 2019-20 and mandatory for the academic year 2020-21 onwards

2. Learning Outcomes
1. Understand aggregation operations, descriptive statistics, and re-indexing columns in a DataFrame.
2. Apply functions row-wise and element-wise on a Data Frame.
3. Understand basic software engineering: models, activities, business use-case diagrams, and version control systems.
4. Connect a Python program with a SQL database, and learn aggregation functions in SQL.
5. Have a clear understanding of cyber ethics and cybercrime. Understand the value of technology in societies, gender and disability issues, and the technology behind biometric ids.

3. Distribution of Marks

Unit No. Unit Name Mark
1. Data Handling 30
2. Basic Software Engineering 15
3. Data Management 15
4. Society, Law and Ethics 10
5. Practicals 30
  Total     100

4.1. Unit 1: Data Handling (DH-2) (80 Theory + 70 Practical)

4.1.1. Python Pandas

  • Advanced operations on Data Frames: pivoting, sorting, and aggregation
  • Descriptive statistics: min, max, mode, mean, count, sum, median, quartile, var
  • Create a histogram, and quantiles.
  • Function application: pipe, apply, aggregation (group by), transform, and apply map.
  • Reindexing, and altering labels.

4.1.2. Numpy

  • 1D array, 2D array
  • Arrays: slices, joins, and subsets
  • Arithmetic operations on 2D arrays
  • Covariance, correlation and linear regression

4.1.3. Plotting with Pyplot

  • Plot bar graphs, histograms, frequency polygons, box plots, and scatter plots.

4.2 Unit 2: Basic Software Engineering (BSE) (25 Theory + 10 Practical)

  • Introduction to software engineering
  • Software Processes: waterfall model, evolutionary model, and component based model
  • Delivery models: incremental delivery, spiral delivery
  • Process activities: specification, design/implementation, validation, evolution
  • Agile methods: pair programming, and Scrum
  • Business use-case diagrams
  • Practical aspects: Version control system (GIT), and do case studies of software systems and build use-case diagrams

4.3. Unit 3: Data Management (DM-2) (20 Theory + 20 Practical)

  • Write a minimal Django based web application that parses a GET and POST request, and writes the fields to a file – flat file and CSV file.
  • Interface Python with an SQL database
  • SQL commands: aggregation functions, having, group by, order by.

4.4. Unit 4: Society, Law and Ethics (SLE-2) (15 Theory)

  • Intellectual property rights, plagiarism, digital rights management, and licensing (Creative Commons, GPL and Apache), open source, open data, privacy.
  • Privacy laws, fraud; cybercrime- phishing, illegal downloads, child pornography, scams; cyber forensics, IT Act, 2000.
  • Technology and society: understanding of societal issues and cultural changes induced by technology.
  • E-waste management: proper disposal of used electronic gadgets.
  • Identity theft, unique ids, and biometrics.
  • Gender and disability issues while teaching and using computers.
  • Role of new media in society: online campaigns, crowdsourcing, smart mobs
  • Issues with the internet: internet as an echo chamber, net neutrality, internet addiction
  • Case studies - Arab Spring, WikiLeaks, Bit coin

Click Here To Download Informatics Practices (New) Syllabus

Click Here To Download Informatics Practices (Old) Syllabus

Courtesy: CBSE

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