The document is a textbook on computer science and Python programming for CBSE Class XI. It covers the theory and practical syllabus prescribed by CBSE. The textbook is divided into five parts - Computer Systems and Organisation, Computational Thinking and Programming, Data Management, Society Law and Ethics, and solutions to programming exercises. It includes chapters on topics like computer hardware, Python programming concepts, SQL, NoSQL and cyber safety. Each chapter provides learning objectives, concepts, examples, questions and programming assignments. The textbook aims to help students learn computer science concepts and develop Python and database programming skills as per the CBSE Class XI syllabus.
Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
Development of admission management systemAlokDatta76
The presentation outlines the development of an Admission Management System. It discusses the project overview, requirements engineering, system planning, and analysis and design phases. In the requirements phase, functional requirements like student/teacher information management and admission form handling are identified. The system planning phase estimates the project timelines at 3.5 months and effort at 62.5 man-months. Key diagrams created include use case, DFD, and ER diagrams to model the system and database.
School admission process management system (Documention)Shital Kat
This document outlines the project plan for developing a School Admission Process Management System. It includes sections on project initiation and scheduling, diagrams of the system, a project cost estimation, designing the user interface, and plans for testing. The system will automate the currently manual paper-based admission process to make it faster and easier to use. It will store and process student personal, academic, and fee information using a web interface and backend database. Testing will include white box, black box, unit, integration, and system testing to ensure quality.
The document outlines a research project evaluating service oriented architecture in e-learning. It discusses goals of surveying e-learning, studying enterprise architectures and requirements, and proposing a service-based learning management system and university management system. The agenda covers topics like e-learning, service oriented architecture, the proposed service architecture, evaluation, and conclusion.
This document provides a project report for an automated fees collection system created by Yash Duggall. The report includes sections on the introduction, objectives, advantages, hardware/software requirements, analysis, input/output design, system characteristics, and recognition of need for the system. The system was created to automate an institute's manual fees collection process in order to make it more efficient by reducing paperwork, errors, and time spent on tasks like updating records and generating reports.
1) The document discusses designing a computerized automated student admission system to make the admission process faster and easier compared to the current manual paper-based system.
2) The proposed system would manage student personal details, academic details, fees, generate reports, and store information in a database for easy access and processing.
3) It would automate the current manual admission process, eliminate paper-based work, and efficiently manage student data to speed up the admission process.
The document describes a student database management system created for T.B.G. Polytechnic in Ambajogai, India. The system was created to streamline processes like registration, admission, class and staff management by utilizing a database instead of manual records. The system uses a graphical user interface and database features for easy data entry, retrieval, and manipulation compared to paper records. This saves time and reduces paperwork.
This project report describes a college admission system created by Sourabh Upadhyay. The report includes an acknowledgement, table of contents, and sections on the introduction, problem specification, background/related work, scope, goals, hardware requirements, proposed system overview, flow charts, HTML frameworks for registration, enrollment and examination forms, output screens, and a conclusion. The system was created to automate the manual college admission process and reduce time and effort.
Data mining referred to extracting the hidden predictive information from huge amount of data set. Recently, there are number of private institution are came into existence and they put their efforts to get fruitful admissions. In this paper, the techniques of data mining are used to analyze the mind setup of student after matriculate. One of the best tools of data mining is known as WEKA (Waikato Environment Knowledge Analysis), is used to formulate the process of analysis.
Development of admission management systemAlokDatta76
The presentation outlines the development of an Admission Management System. It discusses the project overview, requirements engineering, system planning, and analysis and design phases. In the requirements phase, functional requirements like student/teacher information management and admission form handling are identified. The system planning phase estimates the project timelines at 3.5 months and effort at 62.5 man-months. Key diagrams created include use case, DFD, and ER diagrams to model the system and database.
School admission process management system (Documention)Shital Kat
This document outlines the project plan for developing a School Admission Process Management System. It includes sections on project initiation and scheduling, diagrams of the system, a project cost estimation, designing the user interface, and plans for testing. The system will automate the currently manual paper-based admission process to make it faster and easier to use. It will store and process student personal, academic, and fee information using a web interface and backend database. Testing will include white box, black box, unit, integration, and system testing to ensure quality.
The document outlines a research project evaluating service oriented architecture in e-learning. It discusses goals of surveying e-learning, studying enterprise architectures and requirements, and proposing a service-based learning management system and university management system. The agenda covers topics like e-learning, service oriented architecture, the proposed service architecture, evaluation, and conclusion.
This document provides a project report for an automated fees collection system created by Yash Duggall. The report includes sections on the introduction, objectives, advantages, hardware/software requirements, analysis, input/output design, system characteristics, and recognition of need for the system. The system was created to automate an institute's manual fees collection process in order to make it more efficient by reducing paperwork, errors, and time spent on tasks like updating records and generating reports.
1) The document discusses designing a computerized automated student admission system to make the admission process faster and easier compared to the current manual paper-based system.
2) The proposed system would manage student personal details, academic details, fees, generate reports, and store information in a database for easy access and processing.
3) It would automate the current manual admission process, eliminate paper-based work, and efficiently manage student data to speed up the admission process.
The document describes a student database management system created for T.B.G. Polytechnic in Ambajogai, India. The system was created to streamline processes like registration, admission, class and staff management by utilizing a database instead of manual records. The system uses a graphical user interface and database features for easy data entry, retrieval, and manipulation compared to paper records. This saves time and reduces paperwork.
This project report describes a college admission system created by Sourabh Upadhyay. The report includes an acknowledgement, table of contents, and sections on the introduction, problem specification, background/related work, scope, goals, hardware requirements, proposed system overview, flow charts, HTML frameworks for registration, enrollment and examination forms, output screens, and a conclusion. The system was created to automate the manual college admission process and reduce time and effort.
B tech it project report on attendence management systemVinnie Singh
B tech it project report on attendence management system.
File courtesy Studynama.com India's Mega Education Hub for Free Lecture Notes, eBooks, Projects and Papers. Come Study Smart with Studynama!
Student management system project report c++Student
This document describes a student management system project that uses C++ and file handling. The system allows users to create, read, modify and delete student records which are stored in files. It also generates reports like grade reports and displays individual or all student data. The system ensures correct data is input and stored through validation checks. It utilizes common functions for file handling and output formatting.
The document discusses the development of an online examination system as an alternative to a manual paper-based system. It outlines some of the drawbacks of the current manual system, such as delays in results, difficulty maintaining records, and proposes building a web-based online examination system using Visual Basic and SQL Server. The system would allow exams to be conducted remotely, graded automatically or manually, and results released faster without the costs associated with paper exams. It also reviews features of some existing online exam systems and justifies why developing a new system could reduce costs, efforts, and time compared to the current manual process.
This document describes a student financial service system project for a university. The system will allow students to access financial services like depositing money, applying for loans, and make payments for fees and other services online. Key features include creating bank accounts, depositing and withdrawing funds, applying and processing loans, accessing the library, and ordering food online. The system aims to streamline financial processes for students and ensure timely billing and collections. Non-functional requirements around performance, security, portability and maintainability are also specified. Use case diagrams show interactions between students, managers, library staff and the system for admission, financial, and payment processes.
This document provides an introduction and overview of a proposed student attendance monitoring system with parent portal. It discusses the need for the system due to issues with traditional methods of informing parents about student absenteeism. The proposed system will have two platforms - a window-based system to record attendance and grades, and a web-based parent portal. If a student is absent, an SMS will be sent to parents. The parent portal will allow parents to view their child's attendance and grades. The document outlines the objectives and functionality of both the window and web-based systems. It also discusses the technologies that will be used such as VB.NET, MySQL, HTML, CSS, JavaScript, and AJAX.
This document describes a student result system project created using C programming language. It allows users to perform operations like adding student records, viewing all records, searching records by roll number, calculating average marks, and sorting records by marks or roll number. The key algorithms used are merge sort for sorting and linear search for searching and insertion. The source code implements functions for the main menu, record insertion, display, sorting, searching, and average calculation. UML diagrams show the design of the student record class and interaction between functions.
The document provides a software requirements specification for an online university admission system. It includes sections on introduction, overall description, system requirements and analysis, and supplementary requirements. The introduction provides an overview of the current admission process and purpose of automating it. The overall description outlines the system scope, user classes and features. The requirements section specifies functionality for the user interface, student and admission views, and system requirements. The specification concludes with supplementary and non-functional requirements.
Introduction and objectives of the projectrihan696
The document provides an overview of a school management system project. It includes chapters on introduction, system study, system analysis, system design, system testing, implementation, maintenance, and conclusion. The objectives are to computerize the manual school management system to reduce paperwork and increase efficiency. The key modules covered include student records, fee collection, faculty information, timetables, exam results, and library management. Visual Basic 6.0 is used for the front-end and SQL Server 2000 is used for the back-end database. A feasibility analysis was conducted and the system was found to be technically, economically, and operationally feasible.
University Student Payment System, USPS is a student financial solution for educational institute. It's our under graduate project. Here is the abstract of this project.
University Student Payment System ‘USPS’ is an online base bespoke application system. It is mainly an accounting system but it is not a conventional accounting system. It has some specialty; it is specific only for student. Students will be able to pay their tuition and other semester fees online using this system. Guardian will able to pay their students fees through online and able to see the student financial statement. It has various message options to notify transaction information like as mobile, emailing also own messaging system. On demand University Student Payment System users will be able to view receipts, payment statement from anywhere in the world using Internet.
At the primary stage of developing University Student Payment System, we have studied similar systems. Most of systems are e-commerce system. USPS has some similarity with e-commerce system, because students have payment their fees using their bank account, credit or debit card and using their mobiles through third party payment gateway.
The document describes an online examination system project created by 4th year computer science students. The proposed system aims to automate the exam process for a college and reduce costs and issues with the current manual system. It would allow instructors to create and upload exam questions online, and students to take timed exams via computer and immediately receive results. The system is intended to save time and resources compared to printing, distributing and grading physical exam papers. It also aims to increase security and reduce cheating opportunities during exams.
The document provides an overview of the GreenWich project, which is an integrated college management system. It describes the scope and goals of the project, including modules for administration, user management, content management, and evaluation. It also includes details about the technology used (.NET, IIS, Oracle), an overview of data flow diagrams and UML diagrams, and software and hardware requirements. The project aims to facilitate the exchange of information to enhance learning and teaching across different sectors.
The document describes a presentation for a school management system created by Soumya Subhadarshi Behera. The presentation includes an introduction, motivation, and system development sections. It provides background on the need for a school management system to efficiently manage student, employee, academic and other administrative data. It then covers the goals and components involved in developing the software system, including using Visual Basic 6.0 for the front end and Oracle for the back end database.
This document provides a software requirements specification for a hostel management system. The system aims to automate hostel operations such as room allotment, bill generation, and maintaining student and employee records. This will help improve data reliability, reduce errors, and allow for faster data access and updating. The system will interface with users via a login screen and homepage. It will require hardware such as PCs and printers, and software such as Windows and Oracle database. The system functions will include maintaining information on residents, rooms, fees, and employees as well as searching, sorting, and retrieving data.
This document describes an academic management system project developed by Deepen Upadhyaya. The system allows colleges to store and manage student and staff data, generate reports cards and receipts, and includes modules for academics, administration, finance, and human resources. It was developed using C# and SQL Server, and has a graphical user interface for easy use. The project aims to provide a centralized system to help education institutions efficiently manage operations and data.
The document describes a student result management system that will manage information about users, subjects offered each semester, and marks obtained by students. It will generate reports. The system requirements include maintaining data on students, subjects, marks and user accounts with validation checks. The system will have security, maintainability and portability. Key modules include login, subject info maintenance, marks entry and maintenance of user accounts.
This document describes a student project to develop an online student feedback system called "Rate Ur Faculty" for evaluating faculty members at a university. It includes sections on introduction, objectives, existing system limitations, proposed new online system, project requirements and analysis, project design including UML diagrams, coding and outputs. The system allows students, faculty, heads of departments and administrators to provide and view feedback on faculty performance to help evaluate and counsel staff.
This document is a project report for a Web School Management System created for SaifTech Solution PVT. LTD. It includes an introduction to the company profile and existing manual system. The proposed system objectives are to automate school processes like fees collection, attendance tracking, and student/staff management. The analysis and design chapter covers UML diagrams like use case diagrams, class diagrams, and sequence diagrams. Backend specifications include ER diagrams and data dictionaries for tables. Frontend specifications cover menus, inputs, and reports. Process specifications include DFDs and module specifications. Testing, limitations, and future enhancements are also discussed.
The document describes an Academic Management System (AMS) project presented by students. The AMS allows a college to maintain student, staff, fees, and exam information electronically. It aims to simplify information management and allow quick access to records. The project involved designing the system using tools like Rational Rose, writing code in Java/JSP, and testing the software. Key modules include administration, student, faculty, and department functions. The system uses a database, login authentication, and allows generating reports. The document outlines objectives, outcomes, schedule, architecture, and design diagrams for the AMS.
The document describes a student portal created using ASP.NET and C# for a college. The portal aims to provide students a single interface to access various services like viewing results, sending messages, managing schedules and tasks, downloading documents, and searching for faculty. It also allows administrators to add, update, and manage student information and results online. The portal was developed using tools like Visual Studio .NET, SQL Server and utilizes IIS for the web server. Future enhancements may include online fee payments, event listings, discussion forums and email integration.
This document discusses using machine learning algorithms to predict employee attrition and understand factors that influence turnover. It evaluates different machine learning models on an employee turnover dataset to classify employees who are at risk of leaving. Logistic regression and random forest classifiers are applied and achieve accuracy rates of 78% and 98% respectively. The document also discusses preprocessing techniques and visualizing insights from the models to better understand employee turnover.
B tech it project report on attendence management systemVinnie Singh
B tech it project report on attendence management system.
File courtesy Studynama.com India's Mega Education Hub for Free Lecture Notes, eBooks, Projects and Papers. Come Study Smart with Studynama!
Student management system project report c++Student
This document describes a student management system project that uses C++ and file handling. The system allows users to create, read, modify and delete student records which are stored in files. It also generates reports like grade reports and displays individual or all student data. The system ensures correct data is input and stored through validation checks. It utilizes common functions for file handling and output formatting.
The document discusses the development of an online examination system as an alternative to a manual paper-based system. It outlines some of the drawbacks of the current manual system, such as delays in results, difficulty maintaining records, and proposes building a web-based online examination system using Visual Basic and SQL Server. The system would allow exams to be conducted remotely, graded automatically or manually, and results released faster without the costs associated with paper exams. It also reviews features of some existing online exam systems and justifies why developing a new system could reduce costs, efforts, and time compared to the current manual process.
This document describes a student financial service system project for a university. The system will allow students to access financial services like depositing money, applying for loans, and make payments for fees and other services online. Key features include creating bank accounts, depositing and withdrawing funds, applying and processing loans, accessing the library, and ordering food online. The system aims to streamline financial processes for students and ensure timely billing and collections. Non-functional requirements around performance, security, portability and maintainability are also specified. Use case diagrams show interactions between students, managers, library staff and the system for admission, financial, and payment processes.
This document provides an introduction and overview of a proposed student attendance monitoring system with parent portal. It discusses the need for the system due to issues with traditional methods of informing parents about student absenteeism. The proposed system will have two platforms - a window-based system to record attendance and grades, and a web-based parent portal. If a student is absent, an SMS will be sent to parents. The parent portal will allow parents to view their child's attendance and grades. The document outlines the objectives and functionality of both the window and web-based systems. It also discusses the technologies that will be used such as VB.NET, MySQL, HTML, CSS, JavaScript, and AJAX.
This document describes a student result system project created using C programming language. It allows users to perform operations like adding student records, viewing all records, searching records by roll number, calculating average marks, and sorting records by marks or roll number. The key algorithms used are merge sort for sorting and linear search for searching and insertion. The source code implements functions for the main menu, record insertion, display, sorting, searching, and average calculation. UML diagrams show the design of the student record class and interaction between functions.
The document provides a software requirements specification for an online university admission system. It includes sections on introduction, overall description, system requirements and analysis, and supplementary requirements. The introduction provides an overview of the current admission process and purpose of automating it. The overall description outlines the system scope, user classes and features. The requirements section specifies functionality for the user interface, student and admission views, and system requirements. The specification concludes with supplementary and non-functional requirements.
Introduction and objectives of the projectrihan696
The document provides an overview of a school management system project. It includes chapters on introduction, system study, system analysis, system design, system testing, implementation, maintenance, and conclusion. The objectives are to computerize the manual school management system to reduce paperwork and increase efficiency. The key modules covered include student records, fee collection, faculty information, timetables, exam results, and library management. Visual Basic 6.0 is used for the front-end and SQL Server 2000 is used for the back-end database. A feasibility analysis was conducted and the system was found to be technically, economically, and operationally feasible.
University Student Payment System, USPS is a student financial solution for educational institute. It's our under graduate project. Here is the abstract of this project.
University Student Payment System ‘USPS’ is an online base bespoke application system. It is mainly an accounting system but it is not a conventional accounting system. It has some specialty; it is specific only for student. Students will be able to pay their tuition and other semester fees online using this system. Guardian will able to pay their students fees through online and able to see the student financial statement. It has various message options to notify transaction information like as mobile, emailing also own messaging system. On demand University Student Payment System users will be able to view receipts, payment statement from anywhere in the world using Internet.
At the primary stage of developing University Student Payment System, we have studied similar systems. Most of systems are e-commerce system. USPS has some similarity with e-commerce system, because students have payment their fees using their bank account, credit or debit card and using their mobiles through third party payment gateway.
The document describes an online examination system project created by 4th year computer science students. The proposed system aims to automate the exam process for a college and reduce costs and issues with the current manual system. It would allow instructors to create and upload exam questions online, and students to take timed exams via computer and immediately receive results. The system is intended to save time and resources compared to printing, distributing and grading physical exam papers. It also aims to increase security and reduce cheating opportunities during exams.
The document provides an overview of the GreenWich project, which is an integrated college management system. It describes the scope and goals of the project, including modules for administration, user management, content management, and evaluation. It also includes details about the technology used (.NET, IIS, Oracle), an overview of data flow diagrams and UML diagrams, and software and hardware requirements. The project aims to facilitate the exchange of information to enhance learning and teaching across different sectors.
The document describes a presentation for a school management system created by Soumya Subhadarshi Behera. The presentation includes an introduction, motivation, and system development sections. It provides background on the need for a school management system to efficiently manage student, employee, academic and other administrative data. It then covers the goals and components involved in developing the software system, including using Visual Basic 6.0 for the front end and Oracle for the back end database.
This document provides a software requirements specification for a hostel management system. The system aims to automate hostel operations such as room allotment, bill generation, and maintaining student and employee records. This will help improve data reliability, reduce errors, and allow for faster data access and updating. The system will interface with users via a login screen and homepage. It will require hardware such as PCs and printers, and software such as Windows and Oracle database. The system functions will include maintaining information on residents, rooms, fees, and employees as well as searching, sorting, and retrieving data.
This document describes an academic management system project developed by Deepen Upadhyaya. The system allows colleges to store and manage student and staff data, generate reports cards and receipts, and includes modules for academics, administration, finance, and human resources. It was developed using C# and SQL Server, and has a graphical user interface for easy use. The project aims to provide a centralized system to help education institutions efficiently manage operations and data.
The document describes a student result management system that will manage information about users, subjects offered each semester, and marks obtained by students. It will generate reports. The system requirements include maintaining data on students, subjects, marks and user accounts with validation checks. The system will have security, maintainability and portability. Key modules include login, subject info maintenance, marks entry and maintenance of user accounts.
This document describes a student project to develop an online student feedback system called "Rate Ur Faculty" for evaluating faculty members at a university. It includes sections on introduction, objectives, existing system limitations, proposed new online system, project requirements and analysis, project design including UML diagrams, coding and outputs. The system allows students, faculty, heads of departments and administrators to provide and view feedback on faculty performance to help evaluate and counsel staff.
This document is a project report for a Web School Management System created for SaifTech Solution PVT. LTD. It includes an introduction to the company profile and existing manual system. The proposed system objectives are to automate school processes like fees collection, attendance tracking, and student/staff management. The analysis and design chapter covers UML diagrams like use case diagrams, class diagrams, and sequence diagrams. Backend specifications include ER diagrams and data dictionaries for tables. Frontend specifications cover menus, inputs, and reports. Process specifications include DFDs and module specifications. Testing, limitations, and future enhancements are also discussed.
The document describes an Academic Management System (AMS) project presented by students. The AMS allows a college to maintain student, staff, fees, and exam information electronically. It aims to simplify information management and allow quick access to records. The project involved designing the system using tools like Rational Rose, writing code in Java/JSP, and testing the software. Key modules include administration, student, faculty, and department functions. The system uses a database, login authentication, and allows generating reports. The document outlines objectives, outcomes, schedule, architecture, and design diagrams for the AMS.
The document describes a student portal created using ASP.NET and C# for a college. The portal aims to provide students a single interface to access various services like viewing results, sending messages, managing schedules and tasks, downloading documents, and searching for faculty. It also allows administrators to add, update, and manage student information and results online. The portal was developed using tools like Visual Studio .NET, SQL Server and utilizes IIS for the web server. Future enhancements may include online fee payments, event listings, discussion forums and email integration.
This document discusses using machine learning algorithms to predict employee attrition and understand factors that influence turnover. It evaluates different machine learning models on an employee turnover dataset to classify employees who are at risk of leaving. Logistic regression and random forest classifiers are applied and achieve accuracy rates of 78% and 98% respectively. The document also discusses preprocessing techniques and visualizing insights from the models to better understand employee turnover.
Python is the choice llanguage for data analysis,
The aim of this slide is to provide a comprehensive learning path to people new to python for data analysis. This path provides a comprehensive overview of the steps you need to learn to use Python for data analysis.
Running Head E-GRANT REQUIREMENTS2E-GRANT REQUIREMENTS .docxjeanettehully
Running Head: E-GRANT REQUIREMENTS 2
E-GRANT REQUIREMENTS 2
E-grant Requirements
Krishna Marepalli
170068
Harrisburg University
E-grant requirements
Business requirements
User requirements
System requirements
Non-functional requirements
Safe means of money transfer
The applicant requires to enter their banking details into the system.
The e-grant system should enable the user to enter their banking data.
Conform with financing p & ps
The state administrators require to send money to applicants (Little, 2016).
The e-grant system should also enable the user to select the account type they wish their money to be deposited.
Submission of applications
The applicant requires to sign in to the system at any time.
The system should allow the user to create an account and enter their data.
Conform with system processing p & ps
User should be in a position to select the required application from a list of applications.
The system should be user friendly and should allow them to navigate through the application process (Alla, Pazos & DelAguila, 2017).
The user requires to submit their applications
The system is required to send confirmatory messages to the applicants.
Implementation of a standard accreditation scale.
Administrators require to evaluate the applications.
The system should permit the administrators to access the applications at all times.
Conform with auditing p & ps
The system is required to store the applications in a systematic manner for easier retrieval.
Administrators require to turn down or approve applications.
The system should allow the administrators to carry out these approvals and rejections (Chari & Agrawal, 2018).
The system is required to allow for a comment section.
Administrators require to enter applications scores manually
The system should enable the administrators to enter the applications scores.
The system should enable the entered scores to be saved.
The system is also required to update the scores regularly and automatically.
References
Alla, S., Pazos, P., & DelAguila, R. (2017). The Impact of Requirements Management Documentation on Software Project Outcomes in Health Care. In IIE Annual Conference. Proceedings (pp. 1419-1423). Institute of Industrial and Systems Engineers (IISE).
Chari, K., & Agrawal, M. (2018). Impact of incorrect and new requirements on waterfall software project outcomes. Empirical Software Engineering, 23(1), 165-185.
Little, T. A. (2016). A Foundational Perspective on Core Competency Requirements for Project Management Initiatives.
This is a formula to calculate a loan payment. The input is the amount of the loan, the number of payments, and the interest rate.
payment = loan payment (a = loan amount, r = rate, n = periods)
The rate and periods should match each other – for example, if the period is a number of months, then the rate should be a monthly rate and the payment will be a monthly payment.
If you have the annual interest rate and ...
This document provides information about the Semester VII curriculum including course details, teaching schemes, and examination schemes. Key points:
- The semester includes courses like Compiler Construction and Design, Computer Forensics and Cyber Laws, Software Testing, and an elective.
- Courses involve lectures, tutorials, and practical sessions. Examinations include internal assessments, unit tests, term work assignments, and end semester exams.
- Detailed course objectives, prerequisites, outcomes are provided for Compiler Construction and Design along with unit-wise syllabus and assignment lists.
- Similarly, course details like objectives, prerequisites, outcomes are given for Computer Forensics and Cyber Laws along with its unit-wise syllabus
This document outlines the course objectives and modules for a course on Internet of Things Technology. The course aims to enable students to assess IoT applications and architectures, illustrate methods to deploy smart objects, compare application protocols for IoT, and identify the role of data analytics and security in IoT. The five modules cover topics like IoT architectures and networks, connecting smart objects, application protocols, data analytics, security, and hands-on experience with devices like Arduino and Raspberry Pi. The course outcomes are for students to interpret IoT challenges and models, compare deployment technologies, appraise protocols, and illustrate applications of IoT in industry.
Algorithm Procedure and Pseudo Code MiningIRJET Journal
The document describes a proposed system to extract, analyze, index and provide search capabilities for algorithm procedures and pseudo codes. It aims to address the difficulties in manually searching for relevant algorithms from the large number of research papers published each year. The system would apply techniques like regular expressions and machine learning to extract algorithm procedures and pseudo codes from papers and web sources, analyze them, index them and allow users to search and download relevant results. Key modules include PDF to text conversion, extraction, analysis, indexing and search/display. The system is intended to reduce the effort required for researchers to find suitable algorithms for their needs.
Python is a widely-used, high-level programming language known for its simplicity, readability, and extensive library support. It is favored by developers for its ease of use and ability to handle diverse tasks, making it suitable for various applications ranging from web development to data analysis and artificial intelligence.
Pattern based approach for Natural Language Interface to DatabaseIJERA Editor
Natural Language Interface to Database (NLIDB) is an interesting and widely applicable research field. As the name suggests an NLIDB allows a naive user to ask query to database in natural language. This paper presents an NLIDB namely Pattern based Natural Language Interface to Database (PBNLIDB) in which patterns for simple query, aggregate function, relational operator, short-circuit logical operator and join are defined. The patterns are categorized into valid and invalid. Valid patterns are directly used to translate natural language query into Structured Query Language (SQL) query whereas an invalid pattern assists the query authoring service in generating options for user so that the query could be framed correctly. The system takes an English language query as input, recognizes pattern in the query, selects one of the before mentioned features of SQL based on the pattern, prepares an SQL statement, fires it on database and displays the result.
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
The document summarizes several course outlines for computer science courses. It provides details on three courses: Digital Logic, Discrete Structure, and Microprocessor. For each course it lists information like the course title, number, credit hours, nature, goals, contents which are divided into units, textbooks, and lab works. It also includes two sample course outlines for Data Structures and Algorithms and another unnamed course. The courses cover topics in digital logic, discrete math, microprocessors, data structures, algorithms and other computer science fundamentals.
Term Paper VirtualizationDue Week 10 and worth 210 pointsThis.docxmattinsonjanel
This document outlines the requirements for a term paper and presentation on virtualization. It consists of two sections - a written report that is 6-8 pages analyzing the top 3 virtualization software brands and assessing the advantages and disadvantages of virtualization for an organization, and a 12-16 slide PowerPoint presentation summarizing the key ideas from the report. Students must submit both the written report and PowerPoint presentation to complete the assignment.
This document provides an introduction to the Undergraduate Topics in Computer Science (UTiCS) book series. It discusses that UTiCS books aim to provide high-quality instructional content for undergraduate students studying computing and information science. The books cover topics from core foundational material to more advanced final-year topics. They are authored by experts, reviewed by an international advisory board, and contain numerous examples and problems. UTiCS books are concise at around 275-300 pages maximum and published in softback format. Longer textbooks are published under Springer's Texts in Computer Science series instead. More information on the UTiCS series can be found online at the provided URL.
- The document discusses navigating the Python ecosystem for data science. It outlines the various areas data science teams deal with like reporting, data processing, machine learning modeling, and application development.
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2. A Textbook of
Computer Science
and Python Programming with Practical
:-: CBSE Class XI :-:
Prof. (Dr.) Atanu Das
HOD, Department of MCA
Former HOD, Dept. of Computer Science and Engineering
Netaji Subhash Engineering College
Kolkata, West Bengal, India
Prof. Rajkumar Patra
Assistant Professor
Dept. of Computer Science and Engineering
Netaji Subhash Engineering College
Kolkata, West Bengal, India
2020
4. 3
Preface
We have the pleasure to bring the book ‘A Textbook of Computer Science and Python Program-
ming with Practical: CBSE Class XI’ for the students of CBSE Class XI who opted the subject Computer
Science (Code No. 083). This course includes both theory and practical as per the attached syllabus
applicable from the academic session 2019-2020.
The book covers both theory and practical works. The whole theory syllabus consisting of four
units (Computer Systems and Organisation, Computational Thinking and Programming, Data Man-
agement - 1, and Society, Law and Ethics – 1) are grouped into four parts (I-IV) which again divided
into eighteen chapters. Each chapter includes full coverage of the theoretical topics strictly and labor-
atory works and assignments as prescribed in the syllabus. Each chapter also includes objectives, a
quick recap (summary), short answer type and descriptive questions with a hint and laboratory
worked out assignments and exercises. Part V is designed to include solutions to laboratory program-
ming exercises especially mentioned in the syllabus from Python and SQL programming.
The Computer Systems and Organisation unit is subdivided into four chapters namely, Computer
System & Organisation, Representation of Data, Boolean Logic, and Program Execution. Computational
Thinking and Programming unit is subdivided into ten chapters for learning Python programming
newly introduced in the syllabus. Python is a simple, high level, interactive, interpreted and object ori-
ented scripting language designed to be highly readable since it uses English keywords frequently
whereas the other languages use punctuations. Moreover, it has fewer syntactical constructions than
other languages. Nonetheless, Python is free open source software with highly rich libraries and
frameworks to facilitate most of the computational problem solving requirements in the present time.
The latest industry accepted this technology and promoting this language so that it already became
number one according to the developer’s choice. The Data Management – 1 unit is subdivided into
three chapters namely, Database Concept, Structured Query Language and MYSQL, and NoSQL Data-
base and MongoDB to present the database concepts and its implementation through SQL and NoSQL
languages. The Society, Law, and Ethics – 1 unit is covered in a single chapter called Cyber Safety.
There are four appendices covering the installation of Python IDEs, MySQL, NoSQL (MongoDB)
software, sample model question papers for periodic tests, midterm (half-yearly), and session ending
examinations, table of EBCDIC, ASCII, and EASCII.
Atanu Das
Rajkumar Patra
6. 5
Salient Features of this Book
1. Full coverage of theory and practical syllabus of CBSE-XI including computer or-
ganization, Python programming, data management, and cyber safety.
2. Simple and comprehensive illustrations of topics with examples.
3. Mostly self-explanatory, easy to understand, and pedagogically rich content.
4. Indications of chapter wise syllabus sections and corresponding chapter objectives.
5. Summary (quick-recap) of presented content at the end of all the chapters.
6. Highlighted keywords for quick understanding and memorizing.
7. Conceptual question-answers in each chapter to present tricky concepts.
8. Chapter wise review questions (with hints) following board examination patterns.
9. Chapter wise solved practical assignments to promote self-learning.
10. Solved exercises for practical/laboratory works according to practical syllabus.
11. Python programming and computational problem solving skill development
through solved problems and lab exercises.
12. More than 250 solved programs of Python, SQL and NoSQL.
13. Model question papers for periodic tests, midterm (half-yearly), and session end-
ing examinations.
14. Guidance for installation of Python IDEs, MySQL, NoSQL (MongoDB) software.
************* ****************
7. 6
Acknowledgment
We would like to thank our students who are our source of inspiration that drive us to develop
this bookkeeping in mind their academic requirements in changing educational scenario. We would
like to thank our Director and Principal for the opportunity to teach this subject. We would like also
to express our sincere gratitude to all our colleagues for their wonderful academic association and
supports. However, our family member deserves the most gratitude for their sacrifice to make this
project successful. Their sacrifices and cooperation are beyond our expectations.
We hope this book will fulfill the requirements and expectations of our intended students and
their teachers. Even then, if some anomalies appeared, we feel extremely sorry for those unintentional
mistakes. Suggestions for improvement of this book may be sent to the following e-mail addresses.
Atanu Das
E-Mail: atanudas75@gmail.com
Rajkumar Patra
E-Mail: rajkr.patra@gmail.com
************* ****************
8. 7
Syllabus
Computer Science (New)
CLASS-XI (Code No. 083)
2019-20
Learning Outcomes:
1. Ability to understand basic computational thinking.
2. Ability to understand the notion of data types, data structures.
3. Ability to appreciate the notion of an algorithm, and understand its structure, in-
cluding how algorithms handle corner cases.
4. Ability to develop a basic understanding of computer systems - architecture, OS,
mobile and cloud computing.
5. Ability to learn basic SQL programming.
6. Ability to learn all about cyber safety.
Distribution of Marks and Periods:
Unit
No.
Unit Name Marks
Periods
Theory Practical
1. Computer Systems and Organisation 10 10 2
2. Computational Thinking and Programming 35 60 45
3. Data Management - 1 15 30 23
4. Society, Law, and Ethics - 1 10 10 --
Total 70 110 70
Unit 1: Computer Systems and Organisation
Basic computer organisation: description of a computer system and mobile system, CPU,
memory, hard disk, I/O, battery.
Types of software: application, System, utility.
Memory Units: bit, byte, MB, GB, TB, and PB.
Boolean logic: OR, AND, NAND, NOR, XOR, NOT, truth tables, De Morgan’s laws
Information representation: numbers in base 2, 8, 16, binary addition
Strings: ASCII, UTF8, UTF32, ISCII (Indian script code), Unicode Basic concepts of
Flowchart
Concept of Compiler & Interpreter
Running a program: Notion of an operating system, how an operating system runs a pro-
gram, idea of loading, operating system as a resource manager.
9. 8
Concept of cloud computing, cloud (public/private), introduction to parallel computing.
Unit 2: Computational Thinking and Programming
Basics of Computational Thinking: Decomposition, Pattern Recognition/ Data representation,
Generalization/ Data Abstraction, and algorithm.
Familiarization with the basics of Python programming: a simple “hello world" program, the
process of writing a program (Interactive & Script mode), running it, and print statements;
simple data-types: integer, float, string
Features of Python, Python Character Set, Token & Identifiers, Keywords, Literals, Delimit-
ers, operators.
Comments: (Single line & Multiline/ Continuation statements), Clarity & Simplification of
expression.
Introduce the notion of a variable, and methods to manipulate it (a concept of L-value and
R-value even if not taught explicitly).
Knowledge of data types and operators: accepting input from the console, assignment
statement, expressions, operators and their precedence.
Operators & types: Binary operators-Arithmetic, Relational operators, Logical Operators,
Augmented Assignment operators.
Conditional statements: if, if-else, if-elif-else; simple programs: e.g.: absolute value, sort 3
numbers, and divisibility.
Notion of iterative computation and control flow: for(range(), len()), while, flowcharts, sug-
gested programs: interest calculation and factorials, etc.
Idea of debugging: errors and exceptions; debugging: pdb, break points.
Lists, tuples, and dictionary: finding the maximum, minimum, mean; linear search on
list/tuple of numbers, and counting the frequency of elements in a list using a dictionary. In-
troduce the notion of accessing elements in a collection using numbers and names.
Sorting algorithm: bubble and insertion sort; count the number of operations while sorting.
Strings: Traversing, compare, concat, substring.
Introduction to Python modules: Importing math (sqrt, cell, floor, pow, fabs, sin, cos, tan,
random (random, randint, randrange), statistics (mean, median, mode) modules.
10. 9
Unit 3: Data Management
Relational databases: Concept of a database, relations, attributes and tuples, keys- candidate
key, primary key, alternate key, foreign key; Degree and cardinality of a table.
Use SQL – DDL/ DML commands to CREATE TABLE, INSERT INTO,
UPDATE TABLE , DELETE FROM, ALTER TABLE,MODIFY TABLE, DROP TABLE, keys,
and foreign keys; to view content of a table: SELECT-FROM-WHERE-ORDER BY along
with BETWEEN, IN, LIKE, (Queries only on single table).
Aggregate functions – MIN, MAX, AVG, COUNT, SUM.
Basics of NoSQL databases.
Unit 4: Society, Law, and Ethics – Cyber safety
Cyber safety: safely browsing the web, identity protection, confidentiality, social networks,
cyber trolls, and bullying.
Appropriate usage of social networks: spread of rumours, and common social networking
sites (Twitter, LinkedIn, and Facebook) and specific usage rules.
Safely accessing web sites: adware, malware, viruses, trojans.
Safely communicating data: secure connections, eavesdropping, phishing, and identity veri-
fication.
************* ****************
11. 10
Practical
S Unit Name
Marks
(Total=30)
1. Lab Test (12 marks)
Python program (60% logic + 20% documentation + 20% code quality) 8
SQL program (at least 4 queries) 4
2. Report File + viva (10 marks)
Report file: Minimum 20 Python programs and 8 SQL commands 7
Viva voce (based on the report file) 3
3.
Project (that uses most of the concepts that have been learned)
(See CS-XII for the rules regarding the projects)
8
2. Programming in Python: At least the following Python concepts should be covered in the
lab sessions: expressions, conditionals, loops, list, dictionary, and strings. The following are
some representative lab assignments.
o Find the largest and smallest numbers in a list. Find the third largest number in a list.
o Test for primarily.
o Find whether a string is a palindrome or not.
o Given two integers x and n, compute xn.
o Compute the greatest common divisor and the least common multiple of two integers.
o Test if a number is equal to the sum of the cubes of its digits. Find the smallest and larg-
est such numbers.
3. Data Management: SQL Commands At least the following SQL commands should be cov-
ered during the labs: create, insert, delete, select, and join. The following are some
representative assignments.
o Create a student table with the student id, name, and marks as attributes where the stu-
dent id is the primary key.
o Insert the details of a new student in the above table.
o Delete the details of a particular student in the above table.
o Use the select command to get the details of the students with marks more than 80.
o Create a new table (name, date of birth) by joining two tables (student id, name) and
(studentid, date of birth).
o Create a new table (order ID, customer Name, and order Date) by joining two tables
(order ID, customer ID, and order Date) and (customer ID, customer Name, contact
Name, country).
************* ****************
12. 11
Contents
PART-I: Computer Systems and Organisation
Chapter 1: Computer System & Organisation
Syllabus and Chapter Objectives
1.1 Introduction
1.2 Basic Components of Computer
1.2.1 Central Processing Unit(CPU)
1.2.2 Memory Unit
1.2.3 Input-Output Units
1.3 Other Components of a Computer
1.3.1 Motherboard and System Bus
1.3.2 Hard Disk Drive
1.3.3 Uninterruptible Power Supply (UPS)
1.3.4 Scanner
1.3.5 Camera
1.3.6 Printer
1.3.7 Network Switch-Modem-Router
1.4 Organisation of Mobile System
1.4.1 Mobile Phone Processor
1.4.2 Mobile OS and Apps
1.4.3 Mobile Phone Input Units
1.4.4 Mobile Camera
1.4.5 Mobile Display Unit
1.4.6 Mobile Memory Unit
1.5 Concept of Software
1.5.1 System Software
1.5.2 Application Software
1.5.3 Utility Software
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 2: Representation of Data
Syllabus and Chapter Objectives
2.1 Introduction
2.2 Computer Memory Measurement Units
2.3 Representation of Data
2.4 Number System
2.4.1 Decimal Number System
2.4.2 Binary Number System
2.4.3 Octal Number System
13. 12
2.4.4 Hexadecimal Number System
2.5 Addition and Subtraction of Binary Numbers
2.6 Internal Storage of Characters with Text Codes
2.6.1 BCD and EBCDIC
2.6.2 ASCII and Extended ASCII
2.6.3 Unicode
2.6.4 ISCII
2.7 Data Compression
Quick Recap
Conceptual Questions and Answers
Review Questions
Chapter 3: Boolean Logic
Syllabus and Chapter Objectives
3.1 Introduction
3.2 Boolean Logic
3.3 Boolean Operations
3.3.1 Truth Table and Logical Operators
3.3.2 NOT Operation
3.3.3 AND Operation
3.3.4 OR Operation
3.3.5 NAND Operation
3.3.6 NOR Operation
3.3.7 XOR Operation (Exclusive OR)
3.3.8 XNOR Operation (Exclusive NOR)
3.4 Logic Gates
3.4.1 NOT Gate
3.4.2 AND Gate
3.4.3 OR Gate
3.4.4 NAND Gate
3.4.5 NOR Gate
3.4.6 XOR Gate (Exclusive OR)
3.4.7 XNOR Gate (Exclusive NOR)
3.4.8 Summary of Boolean Operations
3.4.9 Boolean Expressions and Logic Gates
3.4.10 Universal Gates or Functionally Complete Gates
3.5 Axioms (Or Postulates) of Boolean Algebra
3.6 De Morgan's Laws
Quick Recap
Conceptual Questions and Answers
Review Questions
Chapter 4: Program Execution
Syllabus and Chapter Objectives
4.1 Introduction to Programming Languages
14. 13
4.2 Concept of Program Compilation
4.3 Concept of Program Interpretation
4.4 Some Related Concepts for Program Execution
4.5 Operating System on Program Execution
4.5.1 Notion of OS
4.5.2 Types of Operating System
4.5.3 Role of OS in Running a Program
4.5.4 Concept of Loading and Linking
4.5.5 Resource Management
4.6 Basic Concepts of Program Design
4.6.1 Notion of a Flowchart
4.6.2 Notion of an Algorithm
4.7 Concept of Cloud Computing
4.8 Concept of Parallel Computing
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
PART-II: Computational Thinking and Programming
Chapter 5: Computational Thinking and Python Introduction
Syllabus and Chapter Objectives
5.1 Introduction
5.2 Computational Thinking
5.2.1 Decomposition
5.2.2 Pattern Recognition or Data Representation
5.2.3 Abstraction or Generalization
5.2.4 Algorithm
5.3 Programming Languages
5.4 Introduction to Python Language
5.5 Python History
5.6 Python Features
5.7 Python vs Other Languages
5.7.1 Python Vs Java
5.7.2 Python Vs Hypertext Preprocessor (PHP)
5.7.3 Python Vs C/C++
5.7.4 Python Vs Ruby
5.7.5 Python Vs Perl
5.7.6 Python Vs JavaScript
5.7.7 Python Vs R
5.8 Advantages of Python
5.9 Disadvantages of Python
5.10 Getting Started with Python
5.10.1 Opening Python using Command Prompt
15. 14
5.10.2 Opening Python using Python Command Line
5.10.3
Opening Python using the Integrated Development Envi-
ronment (IDLE)
5.11 Running Python Script in Command Prompt
5.12 Working in IPython (Interactive Python)
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 6: Basics of Python Programming
Syllabus and Chapter Objectives
6.1 Introduction
6.2 Process of Writing Python Program
6.2.1 Interactive Mode Programming
6.2.2 Script Mode Programming
6.3 Process of Running Python Program
6.4 Features for Python’s Popularity and Acceptability
6.5 Fundamental Concepts of Python
6.5.1 Python Character Sets
6.5.2 Python Tokens
6.5.3 Python Identifiers
6.5.4 Python Keywords
6.5.5 Python Delimiters
6.5.6 Python Literals
6.5.7 Indentation in Python
6.5.8 Quotation in Python
6.5.9 Multiline Statements in Python
6.5.10 Comments in Python
6.5.11 Multiple Statements in Python
6.5.12 Accepting Input from the Console
6.5.13 Output using print() Function
6.6 Python Variables
6.6.1 Variable Name
6.6.2 Variable Types
6.6.3 Assigning Value to a Variable
6.6.4 Multiple Assignments
6.7 Python Data Types
6.7.1 Numeric Data Types
6.7.2 String Data Types
6.7.3 List Data Types
6.7.4 Tuple Data Types
6.7.5 Dictionary Data Types
6.7.6 Data Type Conversion
6.8 Python Operators
16. 15
6.8.1 Arithmetic Operators
6.8.2 Relational (Comparison) Operators
6.8.3 Assignment Operators
6.8.4 Logical Operators
6.8.5 Bitwise Operators
6.8.6 Membership Operators
6.8.7 Identity Operators
6.8.8 Unary Operators
6.8.9 Operators Precedence
6.9 Expression in Python
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 7: Flow Control Statements
Syllabus and Chapter Objectives
7.1 Introduction
7.2 Conditional Statements
7.2.1 The if Statement
7.2.2 The if-else Statement
7.2.3 The if-elif-else Statement
7.2.4 Nested if Statement
7.2.5 Single Statement Suites
7.3 Looping Statements
7.3.1 The for Loop
7.3.2 The for Loop with range() Function
7.3.3 The for Loop with len() Function
7.3.4 The for Loop with else Statement
7.3.5 The while Loop
7.3.6 The while Loop with else Statement
7.3.7 The Infinite Loop
7.3.8 Nested Loops
7.4 Control Statements
7.4.1 The break Statement
7.4.2 The continue Statement
7.4.3 The pass Statement
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 8: String Manipulation
Syllabus and Chapter Objectives
8.1 Introduction
17. 16
8.2 Creating Strings
8.3 Accessing Strings
8.3.1 Accessing Strings using Index
8.3.2 Accessing Strings using Slice
8.4 Updating Strings
8.5 Traversing Strings
8.6 Comparing Strings
8.7 String Slice
8.8 Escape Characters
8.9 String Special Operators
8.9.1 Concatenation
8.9.2 Repetition
8.9.3 Membership
8.10 String Formatting Operators
8.11 String Functions and Methods
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 9: Lists
Syllabus and Chapter Objectives
9.1 Introduction
9.2 Creating Lists
9.2.1 Creating Lists using list() Function
9.2.2 Creating Lists using User Input
9.3 Accessing Lists
9.3.1 Accessing Lists using Index
9.3.2 Accessing Lists using Slice
9.4 Updating Lists
9.4.1 Updating Lists using Index
9.4.2 Updating Lists using append() Method
9.4.3 Updating Lists using extend() Method
9.4.4 Updating Lists using insert() Method
9.5 Traversing Lists
9.6 Deleting List Elements
9.6.1 Deleting List Elements using del Statement
9.6.2 Deleting List Elements using remove() Method
9.6.3 Deleting List Elements using clear() Method
9.7 Basic Lists Operations
9.7.1 Concatenation
9.7.2 Repetition
9.7.3 Membership
9.8 Lists Functions and Methods
9.8.1 len() function
18. 17
9.8.2 max() function
9.8.3 min() function
9.8.4 sorted() function
9.8.5 count() method
9.8.6 index() method
9.8.7 pop() method
9.8.8 reverse() method
9.8.9 sort() method
9.8.10 copy() method
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 10: Sorting and Searching Algorithms
Syllabus and Chapter Objectives
10.1 Introduction
10.2 Count the Number of Operation and Computational Complexity
10.3 Sorting Algorithms
10.3.1 The Bubble Sort
10.3.2 The Insertion Sort
10.3.3 The Selection Sort
10.4 Linear Search Algorithm
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 11: Tuples
Syllabus and Chapter Objectives
11.1 Introduction
11.2 Creating Tuples
11.2.1 Creating Tuples using tuple() Function
11.2.2 Creating Tuples using User Input
11.3 Accessing Tuples
11.3.1 Accessing Tuples using Index
11.3.2 Accessing Tuples using Slice
11.4 Updating Tuples
11.5 Traversing Tuples
11.6 Deleting a Tuple
11.7 Basic Tuple Operations
11.7.1 Concatenation
11.7.2 Repetition
11.7.3 Membership
11.8 Tuple Functions and Methods
19. 18
11.8.1 len() function
11.8.2 max() function
11.8.3 min() function
11.8.4 sorted() function
11.8.5 count() method
11.8.6 index() method
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 12: Dictionary
Syllabus and Chapter Objectives
12.1 Introduction
12.2 Creating a Dictionary
12.3 Accessing a Dictionary
12.4 Updating a Dictionary
12.5 Traversing a Dictionary
12.6 Deleting Dictionary Element
12.6.1 Deleting Dictionary Element using del statement
12.6.2 Deleting Dictionary Element Using pop() Method
12.7 Membership Operation on Dictionary
12.8 Dictionary Functions and Methods
12.8.1 max() function
12.8.2 min() function
12.8.3 sum() function
12.8.4 len() function
12.8.5 str() function
12.8.6 clear() method
12.8.7 get() method
12.8.8 copy() method
12.8.9 items() method
12.8.10 keys() method
12.8.11 values() method
12.8.12 update() method
12.8.13 setdefault() method
12.8.14 fromkeys() method
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 13: Python Modules
Syllabus and Chapter Objectives
13.1 Introduction
20. 19
13.2 Creating a Module
13.3 Importing Module
13.4 Python Built-in Modules
13.4.1 The math Module
13.4.2 The random Module
13.4.3 The statistics Module
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 14: Error and Exception Handling
Syllabus and Chapter Objectives
14.1 Introduction
14.2 Types of Errors
14.3 Exceptions in Python
14.4 Exception Handling
14.4.1 The try and except Clause
14.4.2 The try with Multiple except Clauses
14.4.3 The except Clause with Multiple Exceptions
14.4.4 The try-except Block with else Clause
14.4.5 The try-except Block with finally Clause
14.5 Raising Exceptions
14.6 Debugging Programs
14.7 Python Debugging Tools
14.8 Debugging Commands
14.9 Debugging Python Code with pdb and breakpoint
14.9.1 Debugging Using pdb Module
14.9.2 Debugging Using breakpoint Function
14.10 Debugging Functions of pdb Module
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
PART-III: Data Management - 1
Chapter 15: Database Concepts
Syllabus and Chapter Objectives
15.1 Introduction
15.2 Database Management System(DBMS)
15.2.1 Advantages and Disadvantages of DBMS
15.2.2 Functions of DBMS
15.2.3 Components of Database System
15.2.4 Users of DBMS
21. 20
15.3 Database Models
15.3.1 Hierarchical Model
15.3.2 Network Model
15.3.3 Relational Model
15.3.4 Entity-Relationship (E-R) Model
15.4 Relational Databases
15.5 Database Keys
15.6 Relational Algebra
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 16: Structure Query Language and MYSQL
Syllabus and Chapter Objectives
16.1 Introduction
16.1.1 Overview and History of SQL
16.1.2 Characteristics of SQL
16.1.3 Advantage of SQL
16.2 SQL Languages
16.2.1 Data Definition Language (DDL)
16.2.2 Data Manipulation Language (DML)
16.2.3 Data Control Language (DCL)
16.2.4 Data Query Language (DQL)
16.2.5 Transaction Control Language (TCL)
16.3 SQL Data Types
16.4 SQL Operators
16.4.1 SQL Arithmetic Operators
16.4.2 SQL Comparison Operators
16.4.3 SQL Logical Operators
16.5 Getting Started with MySQL
Connecting to the MySQL Server with the MySQL Client
16.6 SQL DDL/DML Commands
16.6.1 Creating New Database
16.6.2 Viewing Existing Databases
16.6.3 Opening Database
16.6.4 Deleting or Removing Existing Database
16.6.5 Creating Tables
16.6.6 Viewing Tables and Table Structure
16.6.7 Inserting Data into Table
16.6.8 Updating Data in a Table
16.6.9 Deleting Data from a Table
16.6.10 The Alter Command
16.6.11 Modifying a Table
16.6.12 Drop Table Command
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16.7 SQL Queries
16.7.1 Selection Queries
16.7.2 Aggregate Functions
16.7.3 Product and Join Operation
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
Chapter 17: NoSQL Database and MongoDB
Syllabus and Chapter Objectives
17.1 Introduction to NoSQL Databases
17.2 Objectives of NoSQL Database
17.3 Types of NoSQL Database
17.4 Advantages and Disadvantages of NoSQL
17.5 Introduction to MongoDB
17.6 Download and Installation of MongoDB on Windows
17.7 Execution of MongoDB Instructions
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
PART-IV: Society, Law, and Ethics - 1
Chapter 18: Cyber Safety
Syllabus and Chapter Objectives
18.1 Introduction
18.2 Computer Network and Internet
18.3 Cyber Safety
18.3.1 Safely Browsing the Web
18.3.2 Identity Protection
18.3.3 Confidentiality of Information
18.3.4 Safety in Social Network
18.3.5 Cyber Crimes
18.4 Appropriate Usage of Social Networks
18.4.1 Facebook
18.4.2 Twitter
18.4.3 Instagram
18.4.4 Linkedin
18.4.5 WhatsApp
18.4.6 Specific Usage Rules
18.4.7 Spread of Rumors through Social Network
18.5 Network Security Threads
18.5.1 Safely Accessing Web Sites
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18.5.2 Malware
18.5.3 Spyware
18.5.4 Adware
18.5.5 Virus
18.5.6 Trojans
18.5.7 DoS
18.5.8 Phishing and Pharming
18.5.9 Protections
18.6 Safely Communicating Data
18.6.1 Secure Connections
18.6.2 Eavesdropping
18.6.3 Identity Verification
18.6.4 Digital Signature
18.6.5 Firewall
Quick Recap
Conceptual Questions and Answers
Review Questions
Lab Exercises
PART-V: Practical/Lab Test-Python and SQL Programs
Syllabus
Programming in Python
Data Management: SQL Commands
Appendices
Appendix-I: Installing Python
Appendix-II: Installing MySQL and MongoDB
Appendix-III: Model Question Papers
Appendix-IV: EBCDIC, ASCII, and EASCII
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24. 23
Authors BIOGRAPHY:
Prof. (Dr.) Atanu Das:
Dr. Atanu Das is the HOD, Department of MCA, Netaji Subhash Engineering Col-
lege under the Maulana Abul Kalam Azad University of Technology, West Bengal,
India. Formerly, he was HOD, Department of CSE, In-Charge, Department of IT and
Coordinator-M.Tech (CSE) for more than 6 years. He received his M.Sc. (Gold Med-
al) degrees from The University of Burdwan and M.E. and Ph.D. (Engineering)
degrees from Jadavpur University, India. Dr. Das has been teaching at UG and PG
courses for more than 19 years along with supervising M.Tech. and Ph.D. research
students. He has more than 57 publications in reputed refereed journals, edited volumes and confer-
ence proceedings, and authored 8 text/reference books. He serves as a reviewer for many peer-
reviewed international journals, international conferences, and edited book chapters. He is the recipi-
ent of Adarsh Vidya Saraswati Rashtruya Puraskar-2019 and IMFR Best Scientist Award-2019, and
InSc Research Excellence Award-2020, VDGOOD Outstanding Scientist Award-2020. His research in-
terest includes various fields of computer science including estimation for evolving systems,
pedagogies and learning technologies, multimedia processing, steganography, machine learning, and
data sciences.
Prof. Rajkumar Patra:
Prof. Rajkumar Patra is an Assistant Professor in the Department of Computer Sci-
ence and Engineering at Netaji Subhash Engineering College, under the Maulana
Abul Kalam Azad University of Technology, West Bengal, India since 2013. He re-
ceived his Bachelor of Technology and Master of Technology in Computer Science
and Engineering from the University of Calcutta. He has published several research
papers in reputed journals/conferences and authored 1 textbook. His teaching and
research interest include Python programming language, design and analysis of algorithms, machine
learning, bioinformatics, and soft computing.
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