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NetworkAppliance Internet test
syllabus
determine CBSE classification 12 Informatics Practices Syllabus 2021-22 for the upcoming CBSE classification 12 board examination. you can also down load this syllabus in PDF format. link to down load CBSE classification 12 Informatics Practices Syllabus 2021-22 is given on the conclusion of this article.
CBSE type 12 Syllabus 2021-22 (New) released For CBSE tutorial Session 2021-2022: down load subject-smart PDF!
CBSE class 12 Informatics Practices Syllabus 2021-22: CBSE educational Session 2021-22
1. Prerequisite: Informatics Practices – classification XI
2. getting to know outcomes
at the end of this route, college students may be able to:
● Create series, records frames and follow a considerable number of operations.
● function aggregation operations, calculate descriptive statistics.
● Visualize records the usage of crucial graphs.
● Design SQL queries using mixture services.
● Import/Export statistics between SQL database and Pandas.
● gain knowledge of terminology involving networking and the web.
● determine cyber web safety considerations and configure browser settings.
● clarify the affect of know-how on society including gender and disability considerations.
3. Distribution of Marks and periods
Unit No
Unit identify
Marks
durations
idea
periods
functional
complete
length
1
records handling the use of Pandas and information Visualization
30
50
40
90
2
Database question using SQL
25
30
22
52
3
Introduction to laptop Networks
7
12
2
14
4
Societal affects
8
14
-
14
assignment
-
-
10
10
practical
30
-
-
-
total
a hundred
106
74
one hundred eighty
4. Unit smart syllabus
Unit 1: statistics dealing with using Pandas and facts Visualization
information managing the usage of Pandas -I
Introduction to Python libraries- Pandas, Matplotlib. information constructions in Pandas - series and data frames.
sequence: advent of series from ndarray, dictionary, scalar value; mathematical operations; sequence attributes, head and tail services; preference, indexing and chopping.
information Frames: introduction of records frames from dictionary of sequence, checklist of dictionaries, text/CSV data, reveal, new release. Operations on rows and columns: add add ( insert /append) , choose, delete (drop column and row), rename, Head and Tail capabilities, indexing using labels, Boolean indexing; joining, merging and concatenation of statistics frames.
Importing/Exporting statistics between CSV information and data Frames. (for practicals handiest)
statistics dealing with using Pandas – II
Descriptive data: max, min, count, sum, imply, median, mode, quartile, commonplace deviation, variance. Dataframe operations: Aggregation, group by means of, Sorting, Deleting and Renaming Index, Pivoting. managing missing values – losing and filling.
Importing/Exporting statistics between MySQL database and Pandas.
facts Visualization : aim of plotting, drawing and saving of plots the use of Matplotlib (line plot, bar graph, histogram, pie chart, frequency polygon, box plot and scatter plot).
Customizing plots: colour, style (dashed, dotted), width; including label, title, and legend in plots.
Unit 2: Database query using SQL
Math functions: vigour (), circular (), MOD ().
text capabilities: UCASE ()/higher (), LCASE ()/lower (), MID ()/SUBSTRING ()/SUBSTR (), length (), LEFT (), appropriate (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date features: NOW (), DATE (), MONTH (), MONTHNAME (), year (), DAY (), DAYNAME (). combination capabilities: MAX (), MIN (), AVG (), SUM (), count (); the usage of count (*).
Querying and manipulating statistics the use of neighborhood through, Having, Order by using.
Operations on relations - Union, Intersection, Minus, Cartesian Product, be part of (Cartesian be part of, Equi be part of, herbal be part of)
Unit 3: Introduction to computer Networks
Introduction to networks, styles of community: LAN, MAN, WAN. community gadgets: modem, hub, change, repeater, router, gateway network Topologies: big name, Bus, Tree, Mesh.
Introduction to internet, URL, WWW and its applications- web, e-mail, Chat, VoIP.
web site: Introduction, change between a site and webpage, static vs dynamic internet page, net server and hosting of a site.
web Browsers: Introduction, typical browsers, browser settings, add-ons and plug-ins, cookies.
Unit 4: Societal affects
Digital footprint, net and communique etiquettes, facts coverage, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open supply application (FOSS), cybercrime and cyber laws, hacking, phishing, cyber bullying, overview of Indian IT Act.
E-waste: hazards and administration.
awareness about fitness considerations involving the utilization of technology.
5. challenge Work
The goal of the class challenge is to create tangible and constructive IT functions. The learner may also determine a real- world difficulty through exploring the atmosphere. e.g. college students can consult with retail outlets/company locations, communities or different organizations of their localities and enquire concerning the functioning of the company, and how records are generated, saved and managed. The learner can take records kept in a csv or database file and analyze it the use of Python libraries and generate applicable charts to visualize. If a company is protecting statistics offline, then the learner may still create a database using MySQL and keep the statistics in tables. data may also be imported in Pandas for analysis and visualization.
freshmen can use Python libraries of their option to Excellerate software for his or her faculty or every other social respectable. freshmen should be sensitized to steer clear of plagiarism and violation of copyright concerns whereas working on initiatives. academics should take imperative measures for this. Any resources (data, picture and so on.) used within the assignment ought to be suitably referenced.
The mission can be executed in my opinion or in companies of two to 3 students. The challenge should be begun with the aid of college students at the least 6 months before the submission deadline.
6. Distribution of functional Marks
Sl.No.
Unit identify
Marks
1
programs using Pandas and Matplotlib
eight
2
SQL Queries
5
three
practical file (minimum of 20 programs according to Pandas , 5 in response to
Matplotlib and 20 SQL queries ought to be blanketed)
5
four
mission Work (using ideas discovered in type XI and XII)
7
5
Viva-Voce
5
total
30
7. cautioned functional list
7.1 facts coping with
1. Create a pandas series from a dictionary of values and an ndarray
2. Given a collection, print all the facets which are above the seventy fifth percentile.
three. Create a knowledge frame quarterly revenue where each and every row consists of the item category, item name, and expenditure. group the rows via the class, and print the total expenditure per class.
4. Create a knowledge frame in accordance with ecommerce facts and generate descriptive data (suggest, median, mode, quartile, and variance)
5. Create an information frame for examination influence and screen row labels, column labels information types of every column and the scale
6. filter rows in line with diverse criteria similar to duplicate rows..
7. discover the sum of each and every column, or discover the column with the lowest mean.
8. locate the three largest values in a data frame.
9. Subtract the imply of a row from each and every point of the row in a data body.
10. substitute all bad values in a knowledge body with a 0.
11. replace all missing values in a data body with a 999.
12. Importing and exporting data between pandas and CSV file
13. Importing and exporting statistics between pandas and MySQL database
7.2 Visualization
14. Given the faculty effect statistics, analyse the efficiency of the students on distinct parameters, e.g discipline intelligent or class clever.
15. For the statistics frames created above, analyze and plot applicable charts with title and legend.
16. Take facts of your activity from an open supply (e.g. facts.gov.in), combination and summarize it. Then plot it the usage of distinctive plotting functions of the Matplotlib library.
7.3 statistics administration
17. Create a student table with the scholar identity, name, and marks as attributes where the student identity is the simple key.
18. Insert the details of a brand new pupil within the above table.
19. Delete the details of a particular scholar within the above desk.
20. Use the choose command to get the details of the students with marks more than eighty.
21. Create a new desk (order identification, client name, and order Date) through joining two tables (order identification, consumer identity, and order Date) and (consumer id, client name, contact identify, country).
22. Create a international key in one of the two tables outlined above
23. discover the min, max, sum, and general of the marks in a pupil marks desk.
24. discover the total number of purchasers from every country within the desk (client identity, consumer name, nation) the use of neighborhood via.
25. Create a brand new desk (identify, date of birth) by means of becoming a member of two tables (student identity, name) and (student identity, date of beginning).
26. Write a SQL query to order the (scholar identification, marks) table in descending order of the marks.
7.four Introduction to computing device Networks
27. down load, installation and configure browser.
Reference:
NCERT Informatics Practices - text book for class - XII
download CBSE class 12 Informatics Practices Syllabus 2021-22: CBSE educational Session 2021-22
.
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