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Exam Number : HP0-055
Exam Name : Implementing HP ProLiant Servers
Vendor Name : HP
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HP Servers syllabus
assess CBSE classification 12 Informatics Practices Syllabus 2021-22 for the upcoming CBSE class 12 board examination. that you may additionally down load this syllabus in PDF layout. hyperlink to down load CBSE classification 12 Informatics Practices Syllabus 2021-22 is given at the end of this text.
CBSE class 12 Syllabus 2021-22 (New) released For CBSE academic Session 2021-2022: down load field-wise PDF!
CBSE class 12 Informatics Practices Syllabus 2021-22: CBSE academic Session 2021-22
1. Prerequisite: Informatics Practices – class XI
2. learning effects
at the end of this path, students should be in a position to:
● Create collection, facts frames and practice a lot of operations.
● function aggregation operations, calculate descriptive data.
● Visualize facts the usage of principal graphs.
● Design SQL queries the use of combination features.
● Import/Export records between SQL database and Pandas.
● gain knowledge of terminology concerning networking and the information superhighway.
● identify cyber web protection considerations and configure browser settings.
● clarify the have an effect on of know-how on society together with gender and disability considerations.
3. Distribution of Marks and intervals
Unit No
Unit identify
Marks
intervals
thought
intervals
practical
total
duration
1
facts managing using Pandas and records Visualization
30
50
forty
90
2
Database question using SQL
25
30
22
52
3
Introduction to desktop Networks
7
12
2
14
4
Societal affects
8
14
-
14
venture
-
-
10
10
useful
30
-
-
-
complete
100
106
seventy four
a hundred and eighty
4. Unit intelligent syllabus
Unit 1: data coping with the usage of Pandas and statistics Visualization
facts dealing with the usage of Pandas -I
Introduction to Python libraries- Pandas, Matplotlib. records constructions in Pandas - sequence and records frames.
series: introduction of series from ndarray, dictionary, scalar value; mathematical operations; collection attributes, head and tail services; alternative, indexing and slicing.
statistics Frames: advent of facts frames from dictionary of sequence, list of dictionaries, text/CSV info, monitor, new release. Operations on rows and columns: add add ( insert /append) , select, delete (drop column and row), rename, Head and Tail functions, indexing the usage of labels, Boolean indexing; joining, merging and concatenation of facts frames.
Importing/Exporting records between CSV info and statistics Frames. (for practicals simplest)
records dealing with the use of Pandas – II
Descriptive records: max, min, count number, sum, imply, median, mode, quartile, average deviation, variance. Dataframe operations: Aggregation, group with the aid of, Sorting, Deleting and Renaming Index, Pivoting. coping with lacking values – shedding and filling.
Importing/Exporting information between MySQL database and Pandas.
records Visualization : aim of plotting, drawing and saving of plots using Matplotlib (line plot, bar graph, histogram, pie chart, frequency polygon, container plot and scatter plot).
Customizing plots: color, trend (dashed, dotted), width; including label, title, and legend in plots.
Unit 2: Database question the use of SQL
Math functions: energy (), circular (), MOD ().
textual content functions: UCASE ()/upper (), LCASE ()/lower (), MID ()/SUBSTRING ()/SUBSTR (), size (), LEFT (), appropriate (), INSTR (), LTRIM (), RTRIM (), TRIM ().
Date features: NOW (), DATE (), MONTH (), MONTHNAME (), 12 months (), DAY (), DAYNAME (). mixture features: MAX (), MIN (), AVG (), SUM (), count number (); using count (*).
Querying and manipulating statistics using community through, Having, Order through.
Operations on relations - Union, Intersection, Minus, Cartesian Product, be a part of (Cartesian be part of, Equi be part of, herbal be part of)
Unit three: Introduction to computing device Networks
Introduction to networks, styles of community: LAN, MAN, WAN. community devices: modem, hub, swap, repeater, router, gateway community Topologies: celebrity, Bus, Tree, Mesh.
Introduction to internet, URL, WWW and its functions- net, email, Chat, VoIP.
web page: Introduction, difference between a website and webpage, static vs dynamic net web page, web server and hosting of a website.
web Browsers: Introduction, common browsers, browser settings, add-ons and plug-ins, cookies.
Unit 4: Societal affects
Digital footprint, web and communication etiquettes, facts insurance plan, highbrow 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.
focus about health considerations involving the usage of know-how.
5. challenge Work
The purpose of the class assignment is to create tangible and advantageous IT functions. The learner can also determine a true- world problem with the aid of exploring the environment. e.g. students can discuss with stores/business areas, communities or different corporations of their localities and enquire concerning the functioning of the corporation, and how facts are generated, stored and managed. The learner can take information kept in a csv or database file and analyze it the usage of Python libraries and generate applicable charts to visualize. If an organization is preserving information offline, then the learner should still create a database the use of MySQL and save the statistics in tables. facts can be imported in Pandas for evaluation and visualization.
newcomers can use Python libraries of their choice to strengthen utility for their college or every other social decent. freshmen should be sensitized to keep away from plagiarism and violation of copyright concerns whereas engaged on tasks. lecturers should take necessary measures for this. Any components (facts, image and many others.) used within the challenge should be suitably referenced.
The project will also be completed personally or in agencies of two to 3 college students. The mission may still be begun by using college students at the least 6 months earlier than the submission cut-off date.
6. Distribution of purposeful Marks
Sl.No.
Unit name
Marks
1
courses the usage of Pandas and Matplotlib
8
2
SQL Queries
5
3
functional file (minimal of 20 programs in accordance with Pandas , 5 according to
Matplotlib and 20 SQL queries should be blanketed)
5
four
assignment Work (the use of ideas learned in classification XI and XII)
7
5
Viva-Voce
5
complete
30
7. suggested functional checklist
7.1 facts handling
1. Create a pandas collection from a dictionary of values and an ndarray
2. Given a collection, print all of the features that are above the seventy fifth percentile.
3. Create a knowledge frame quarterly income where each row carries the merchandise class, item name, and expenditure. group the rows via the category, and print the full expenditure per class.
four. Create an information frame in keeping with ecommerce information and generate descriptive statistics (mean, median, mode, quartile, and variance)
5. Create a data body for examination effect and reveal row labels, column labels facts forms of each column and the dimensions
6. filter out rows in line with different standards such as reproduction rows..
7. discover the sum of each and every column, or discover the column with the bottom mean.
eight. locate the three greatest values in a knowledge frame.
9. Subtract the imply of a row from each and every factor of the row in a data body.
10. substitute all negative values in a data body with a 0.
11. change all lacking values in a knowledge frame with a 999.
12. Importing and exporting facts between pandas and CSV file
13. Importing and exporting records between pandas and MySQL database
7.2 Visualization
14. Given the school outcomes information, analyse the performance of the college students on distinct parameters, e.g field intelligent or category clever.
15. For the statistics frames created above, analyze and plot appropriate charts with title and legend.
16. Take information of your pastime from an open source (e.g. records.gov.in), combination and summarize it. Then plot it the use of diverse plotting features of the Matplotlib library.
7.three data management
17. Create a scholar table with the student id, name, and marks as attributes the place the pupil identity is the simple key.
18. Insert the particulars of a new scholar in the above desk.
19. Delete the particulars of a particular scholar within the above table.
20. Use the select command to get the details of the college students with marks greater than 80.
21. Create a brand new table (order id, consumer identify, and order Date) by means of becoming a member of two tables (order id, customer identification, and order Date) and (consumer identification, customer identify, contact name, country).
22. Create a overseas key in one of both tables outlined above
23. locate the min, max, sum, and normal of the marks in a pupil marks desk.
24. discover the entire number of purchasers from each and every country within the desk (consumer identification, customer name, nation) using neighborhood by using.
25. Create a brand new desk (name, date of beginning) by means of becoming a member of two tables (scholar identity, name) and (student identification, date of start).
26. Write a SQL question to order the (pupil id, marks) table in descending order of the marks.
7.four Introduction to laptop Networks
27. down load, installation and configure browser.
Reference:
NCERT Informatics Practices - textual content booklet for classification - XII
download CBSE category 12 Informatics Practices Syllabus 2021-22: CBSE academic Session 2021-22
.
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