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Unit 3: Introduction to Computer Networks
                   Introduction to networks, Types of network: PAN, 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.
                Project Work
                   The  aim  of  the  class  project  is  to  create  tangible  and  useful  IT  application.  The  learner  may  identify  a  real-world  problem  by
                   exploring the environment. e.g. Students can visit shops/business places, communities or other organizations in their localities and
                   enquire about the functioning of the organization, and how data are generated, stored, and managed.
                   The learner can take data stored in csv or database file and analyze using Python libraries and generate appropriate charts to
                   visualize.
                   Learners can use Python libraries of their choice to develop software for their school or any other social good.
                   Learners should be sensitized to avoid plagiarism and violation of copyright issues while working on projects. Teachers should take
                   necessary measures for this. Any resources (data, image etc.) used in the project must be suitably referenced.
                   The project can be done individually or in groups of 2 to 3 students. The project should be started by students at least 6 months
                   before the submission deadline.
                Practical Marks Distribution
                  S.No                                   Unit Name                                     Marks
                   1.    Programs using Pandas and Matplotlib                                            8
                   2.    SQL Queries                                                                     7
                         Practical file (minimum of 15 programs based on Pandas, 4 based on Matplotlib and 15 SQL queries
                   3.                                                                                    5
                         must be included)
                   4.    Project Work (using concepts learned in class XI and XII)                       5
                   5.    Viva-Voce                                                                       5
                         TOTAL                                                                           30
            5.  Suggested Practical List
            5.1  Data Handling
                1.   Create a panda’s series from a dictionary of values and a ndarray
                2.   Given a Series, print all the elements that are above the 75th percentile.
                3.   Create a Data Frame quarterly sales where each row contains the item category, item name, and expenditure. Group the rows by the
                   category and print the total expenditure per category.
                4.   Create a data frame for examination result and display row labels, column labels data types of each column and the dimensions.
                5.   Filter out rows based on different criteria such as duplicate rows.
                6.   Importing and exporting data between pandas and CSV file.
            5.2  Visualization
                1.   Given the school result data, analyses the performance of the students on different parameters, e.g subject wise or class wise.
                2.   For the Data frames created above, analyze, and plot appropriate charts with title and legend.
                3.   Take data of your interest from an open source (e.g. data.gov.in), aggregate and summarise it. Then plot it using different plotting
                   functions of the Matplotlib library.
            5.3  Data Management
                1.   Create a student table with the student id, name, and marks as attributes where the student id is the primary key.
                2.  Insert the details of a new student in the above table.
                3.  Delete the details of a student in the above table.
                4.  Use the select command to get the details of the students with marks more than 80.
                5.  Find the min, max, sum, and average of the marks in a student marks table.
                6.  Find the total number of customers from each country in the table (customer ID, customer Name, country) using group by.
                7.  Write a SQL query to order the (student ID, marks) table in descending order of the marks.
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