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

Informatics Practices(New)
CLASS XII
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

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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