Tuesday, April 7, 2020

XII- IP New Syllabus 2020-21

Informatics Practices
CLASS XII
Code No. 065
2020-2021

1. Prerequisite: Informatics Practices – Class XI
2. Learning Outcomes
    At the end of this course, students will be able to:
● Create Series, Data frames and apply various operations.
● Perform aggregation operations, calculate descriptive statistics.
● Visualize data using relevant graphs.
● Design SQL queries using aggregate functions.
● Import/Export data between SQL database and Pandas.
● Learn terminology related to networking and internet.
● Identify internet security issues and configure browser settings.
● Explain the impact of technology on society including gender and disability       issues.

Distribution of Marks and Periods

Unit No         Unit Name                                                               Marks
1                  Data Handling using Pandas and Data Visualization      30
2                  Database Query using SQL                                         25
3                  Introduction to Computer Networks                             07
4                  Societal Impacts                                                        08
5                  Practical                                                                    30

Unit 1: Data Handling using Pandas and Data Visualization

Data Handling using Pandas -I

Introduction to Python libraries- Pandas, Matplotlib.
Data structures in Pandas - Series and Data Frames.
Series: Creation of Series from – ndarray, dictionary, scalar value; mathematical operations; Head and Tail
functions; Selection, Indexing and Slicing.
Data Frames: creation - from dictionary of Series, list of dictionaries, Text/CSV files; display; iteration;
Operations on rows and columns: add, select, delete, rename; Head and Tail functions; Indexing using Labels,
Boolean Indexing; Joining, Merging and Concatenation.

Importing/Exporting Data between CSV files and Data Frames.

Data handling using Pandas – II

Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation, variance.
DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting.
Handling missing values – dropping and filling.

Importing/Exporting Data between MySQL database and Pandas.

Data Visualization

Purpose of plotting; drawing and saving following types of plots using Matplotlib – line plot, bar graph,
histogram, pie chart, frequency polygon, box plot and scatter plot.

Customizing plots: color, style (dashed, dotted), width; adding label, title, and legend in plots.

Unit 2: Database Query using SQL

Math functions: POWER (), ROUND (), MOD ().
Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),
LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().
Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
Querying and manipulating data using Group by, Having, Order by.

Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

Unit 3: Introduction to Computer Networks

Introduction to networks, Types of network: LAN, MAN, WAN.

Network Devices: modem, hub, switch, repeater, router, gateway
Network Topologies: Star, Bus, Tree, Mesh.
Introduction to Internet, URL, WWW and its applications- Web, email, Chat, VoIP.
Website: Introduction, difference between a website and webpage, static vs dynamic web page, web server
and hosting of a website.

Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

Unit 4: Societal Impacts

Digital footprint, net and communication etiquettes, data protection, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open source software (FOSS), cybercrime and cyber laws,hacking, phishing, cyber bullying, overview of Indian IT Act.
E-waste: hazards and management.

Awareness about health concerns related to the usage of technology.

Practical Marks Distribution

S.No. Unit Name                                                                                Marks
1       Programs using Pandas and Matplotlib                                           8
2       SQL Queries                                                                                5
3       Practical file (minimum of 20 programs based on Pandas ,
         5 based on Matplotlib and 20 SQL queries must be included)           5
4      Project Work (using concepts learned in class XI and XII)                 7
5      Viva-Voce                                                                                     5


TOTAL                                                                                                30

Suggested Books: 

 NCERT Informatics Practices - Text book for class - XII

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