This document outlines the syllabus for an INT 306 Database Management System lecture. It includes 6 units covering introductions to databases, relational query languages, relational database design, transaction processing, programming constructs in databases, and file organization and trends in databases. It also provides textbook recommendations and evaluation criteria. MOOCs and industry certifications related to databases are listed at the end.
This document provides information for a database design concepts module, including the aims, objectives, content, learning outcomes and assessment criteria. The module will explore database architecture, design techniques, and applying design skills to create complex databases. Students will understand databases, data management systems, and design approaches. They will learn to design, create, document and evaluate a database containing multiple interrelated tables to address a case study on an art gallery. The module will be assessed through an individual report of approximately 4,500 words applying the concepts to design a database solution for the case study.
The document provides information about a database course including:
1) An overview of the course content which covers database fundamentals, the relational model, normalization, conceptual modeling, query languages, and advanced SQL topics.
2) Details about the lecturer including their academic background and publications.
3) Assessment details for the course including exams, labs, and project work accounting for 100% of the grade.
Prerequisies of DBMS
Course Objectives of DBMS
Syllabus
What is the meaning of data and database
DBMS
History of DBMS
Different Databases available in Market
Storage areas
Why to Learn DBMS?
Peoples who work with Databases
Applications of DBMS
This document provides an introduction and overview of an IS220 Database Systems course. It outlines that the course will cover topics like database design, file organization, indexing and hashing, query processing and optimization, transactions, object-oriented and XML databases. It notes that the class will be 70% theory and 30% hands-on assignments completed in pairs. Assessment will include group work, tests, and a final exam. Class rules require punctuality, use of English, dressing professionally, and minimum 80% attendance.
This document outlines the topics that will be covered in an introduction to database lecture, including the relational model, entity relationship diagrams, normalization, SQL, and assessment details. It discusses the ANSI/SPARC three-level architecture for database systems, with the internal level dealing with physical storage, the conceptual level with logical organization, and external levels providing customized views for users. Mappings between these levels provide data independence.
The document provides an overview of key concepts in database systems including:
1) It defines data, databases, DBMS and typical database system components.
2) It describes different data management approaches including manual, file-based and database approaches.
3) It outlines the functions of a DBMS including data storage, security, and integrity management.
This document provides an introduction to database systems. It discusses what a database is and the functions of a database management system (DBMS). It outlines three approaches to data management - manual, file-based, and database-based. The database approach centralizes data storage and provides tools to ensure data integrity and security. A DBMS performs functions like data storage management, security management, and backup/recovery to maintain the database. The document compares the advantages of database systems like data sharing and improved accessibility over file-based systems.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
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This document provides information for a database design concepts module, including the aims, objectives, content, learning outcomes and assessment criteria. The module will explore database architecture, design techniques, and applying design skills to create complex databases. Students will understand databases, data management systems, and design approaches. They will learn to design, create, document and evaluate a database containing multiple interrelated tables to address a case study on an art gallery. The module will be assessed through an individual report of approximately 4,500 words applying the concepts to design a database solution for the case study.
The document provides information about a database course including:
1) An overview of the course content which covers database fundamentals, the relational model, normalization, conceptual modeling, query languages, and advanced SQL topics.
2) Details about the lecturer including their academic background and publications.
3) Assessment details for the course including exams, labs, and project work accounting for 100% of the grade.
Prerequisies of DBMS
Course Objectives of DBMS
Syllabus
What is the meaning of data and database
DBMS
History of DBMS
Different Databases available in Market
Storage areas
Why to Learn DBMS?
Peoples who work with Databases
Applications of DBMS
This document provides an introduction and overview of an IS220 Database Systems course. It outlines that the course will cover topics like database design, file organization, indexing and hashing, query processing and optimization, transactions, object-oriented and XML databases. It notes that the class will be 70% theory and 30% hands-on assignments completed in pairs. Assessment will include group work, tests, and a final exam. Class rules require punctuality, use of English, dressing professionally, and minimum 80% attendance.
This document outlines the topics that will be covered in an introduction to database lecture, including the relational model, entity relationship diagrams, normalization, SQL, and assessment details. It discusses the ANSI/SPARC three-level architecture for database systems, with the internal level dealing with physical storage, the conceptual level with logical organization, and external levels providing customized views for users. Mappings between these levels provide data independence.
The document provides an overview of key concepts in database systems including:
1) It defines data, databases, DBMS and typical database system components.
2) It describes different data management approaches including manual, file-based and database approaches.
3) It outlines the functions of a DBMS including data storage, security, and integrity management.
This document provides an introduction to database systems. It discusses what a database is and the functions of a database management system (DBMS). It outlines three approaches to data management - manual, file-based, and database-based. The database approach centralizes data storage and provides tools to ensure data integrity and security. A DBMS performs functions like data storage management, security management, and backup/recovery to maintain the database. The document compares the advantages of database systems like data sharing and improved accessibility over file-based systems.
FellowBuddy.com is an innovative platform that brings students together to share notes, exam papers, study guides, project reports and presentation for upcoming exams.
We connect Students who have an understanding of course material with Students who need help.
Benefits:-
# Students can catch up on notes they missed because of an absence.
# Underachievers can find peer developed notes that break down lecture and study material in a way that they can understand
# Students can earn better grades, save time and study effectively
Our Vision & Mission – Simplifying Students Life
Our Belief – “The great breakthrough in your life comes when you realize it, that you can learn anything you need to learn; to accomplish any goal that you have set for yourself. This means there are no limits on what you can be, have or do.”
Like Us - https://www.facebook.com/FellowBuddycom
Research Data Service at the University of EdinburghRobin Rice
The University of Edinburgh provides research data management services and resources to support researchers through the entire data lifecycle. These include tools for creating data management plans, storing and sharing research data securely, and preserving data in the long term. The Research Data Service aims to help researchers comply with open science principles and data policies through a range of training programs, online guidance, and technical infrastructure. It has developed a multi-year roadmap and maturity model to continuously improve services based on researchers' needs and priorities like relationship building, communication skills, and consultation.
The document discusses database essentials including database management systems, database applications, the purpose of database systems, data models, database languages, database architecture, and the relational data model. Specifically, it defines what a DBMS is, provides examples of common database applications, describes why databases were developed to address limitations of file processing systems, outlines several data models including the relational model, discusses database languages for defining and manipulating data, presents the client-server architecture of database systems, and explains key concepts of the relational model including tables, tuples, attributes, relations, and domains.
The document discusses a database systems course, including its objectives, importance, outlines, and lecture overview. The lecture overview introduces basic concepts of databases, including definitions of databases and comparisons to prior data processing approaches. It also discusses the components of a database environment and the evolution of database systems from flat files to modern relational, object-oriented, and web-enabled systems.
The document provides an overview of database management systems (DBMS). It begins with introducing the presenters and objective to make the audience knowledgeable about DBMS fundamentals and improvements. The contents section outlines topics like introduction, data, information, database components, what is a DBMS, database administrator, database languages, advantages and disadvantages of DBMS, examples of DBMS like SQL Server, and applications of DBMS.
This document provides information about a database management systems (DBMS) course offered by the Department of Computer Science & Engineering at Cambridge University. The course objectives are to provide a strong foundation in database concepts, practice SQL programming, demonstrate transactions and concurrency, and design database applications. Course outcomes include identifying and defining database objects, using SQL, designing simple databases, and developing applications. The course modules cover topics such as conceptual modeling, the relational model, SQL, normalization, transactions, and recovery protocols. Required textbooks are also listed.
Here are the key points about the application and utility of database management systems based on the article:
- Database management systems allow for efficient storage, organization and retrieval of large amounts of data. They help businesses and organizations manage their data in a centralized and structured manner.
- Teaching accounting information systems (AIS) courses effectively requires hands-on experience with database software like Microsoft Access. Simply lecturing from textbooks is not sufficient in today's environment.
- Incorporating database software into the AIS curriculum gives students practical experience building and working with databases. This helps demonstrate real-world applications of concepts like database design, queries, forms and reports.
- Hands-on learning with databases helps reinforce topics covered in A
This document provides an overview of Module 1 of a course on Big Data Analytics. It introduces key concepts related to big data, including its characteristics, types, and classification. It describes approaches to data architecture design, data storage, processing and analytics for both traditional and big data systems. It also covers topics like data sources, quality, preprocessing, and case studies and applications of big data analytics.
The document provides an overview of information systems and databases as covered in the HSC course. It discusses different types of information systems and focuses on organizing, storing, and retrieving data with database systems. It describes skills needed to analyze database information systems and provides examples to practice these skills. Finally, it covers topics like database design, data storage and retrieval methods, and some social and ethical issues related to information systems.
This document provides information about database management systems (DBMS). It defines a DBMS as a software system that stores data, processes data, and provides information in an organized way. It discusses some popular DBMS software like MS Access, Oracle, SQL Server, and MySQL. The document also explains some key concepts in DBMS like tables, records, fields, and objects. It provides examples of how a database with tables can be used to store and organize information.
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
The document discusses the architecture and components of a database management system (DBMS). It describes the three levels of abstraction in a DBMS - physical, logical, and view levels. It also explains the roles of different types of database users and the responsibilities of a database administrator. The key components of a DBMS discussed include the storage manager, query processor, and functions like data storage, security management, and database access.
This document provides an introduction to database concepts. It discusses the limitations of file-based systems, including data redundancy, lack of data sharing, and inconsistent data updates across programs. These issues are addressed by the database approach, which involves centralized data storage and a database management system (DBMS) to control access. Key advantages of the database approach include data independence, reduced redundancy, improved integrity and security. The document also outlines the typical components and roles involved in a DBMS environment.
This document provides an outline for a course on databases and database users. It introduces key concepts about databases including what a database is, database properties, database management systems, actors involved with databases like administrators and designers, advantages of databases over file systems, and common database applications. The outline covers topics that will be taught like introduction to PHP and MySQL, how to code applications with databases, and how to perform common tasks with databases.
This document provides an introduction to SQL and databases. It discusses the proliferation of data and importance of databases. Key topics covered include different types of databases, the components of a database system including the DBMS, and the functions of a DBMS. The document traces the evolution of databases from manual file systems to integrated database management systems and discusses important database terminology like metadata and relationships. It also emphasizes the importance of database design.
This document provides an overview of the organization and content of a course on data modeling and databases. It discusses the following key points:
- The course is split into instruction groups led by professors and student assistants. Assessments include weekly homework assignments and a final exam.
- The course covers topics like the relational model, functional dependencies, data modeling, and database design. It examines how to represent real-world data and relationships in a database using different modeling approaches.
- Database management systems help address issues like data redundancy, inconsistency, isolation, and integrity that can arise when directly building applications on file systems. The course focuses on data manipulation and retrieval as well as database design.
The document discusses database systems and provides an overview of key concepts. It begins with a brief history of databases, from early file-based systems to modern relational databases. It then defines what a database is, the components of a database system including data, software, hardware and users. The roles of different database users are identified. Database management systems are introduced as the software that allows users to store, organize, update and protect data.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
Research Data Service at the University of EdinburghRobin Rice
The University of Edinburgh provides research data management services and resources to support researchers through the entire data lifecycle. These include tools for creating data management plans, storing and sharing research data securely, and preserving data in the long term. The Research Data Service aims to help researchers comply with open science principles and data policies through a range of training programs, online guidance, and technical infrastructure. It has developed a multi-year roadmap and maturity model to continuously improve services based on researchers' needs and priorities like relationship building, communication skills, and consultation.
The document discusses database essentials including database management systems, database applications, the purpose of database systems, data models, database languages, database architecture, and the relational data model. Specifically, it defines what a DBMS is, provides examples of common database applications, describes why databases were developed to address limitations of file processing systems, outlines several data models including the relational model, discusses database languages for defining and manipulating data, presents the client-server architecture of database systems, and explains key concepts of the relational model including tables, tuples, attributes, relations, and domains.
The document discusses a database systems course, including its objectives, importance, outlines, and lecture overview. The lecture overview introduces basic concepts of databases, including definitions of databases and comparisons to prior data processing approaches. It also discusses the components of a database environment and the evolution of database systems from flat files to modern relational, object-oriented, and web-enabled systems.
The document provides an overview of database management systems (DBMS). It begins with introducing the presenters and objective to make the audience knowledgeable about DBMS fundamentals and improvements. The contents section outlines topics like introduction, data, information, database components, what is a DBMS, database administrator, database languages, advantages and disadvantages of DBMS, examples of DBMS like SQL Server, and applications of DBMS.
This document provides information about a database management systems (DBMS) course offered by the Department of Computer Science & Engineering at Cambridge University. The course objectives are to provide a strong foundation in database concepts, practice SQL programming, demonstrate transactions and concurrency, and design database applications. Course outcomes include identifying and defining database objects, using SQL, designing simple databases, and developing applications. The course modules cover topics such as conceptual modeling, the relational model, SQL, normalization, transactions, and recovery protocols. Required textbooks are also listed.
Here are the key points about the application and utility of database management systems based on the article:
- Database management systems allow for efficient storage, organization and retrieval of large amounts of data. They help businesses and organizations manage their data in a centralized and structured manner.
- Teaching accounting information systems (AIS) courses effectively requires hands-on experience with database software like Microsoft Access. Simply lecturing from textbooks is not sufficient in today's environment.
- Incorporating database software into the AIS curriculum gives students practical experience building and working with databases. This helps demonstrate real-world applications of concepts like database design, queries, forms and reports.
- Hands-on learning with databases helps reinforce topics covered in A
This document provides an overview of Module 1 of a course on Big Data Analytics. It introduces key concepts related to big data, including its characteristics, types, and classification. It describes approaches to data architecture design, data storage, processing and analytics for both traditional and big data systems. It also covers topics like data sources, quality, preprocessing, and case studies and applications of big data analytics.
The document provides an overview of information systems and databases as covered in the HSC course. It discusses different types of information systems and focuses on organizing, storing, and retrieving data with database systems. It describes skills needed to analyze database information systems and provides examples to practice these skills. Finally, it covers topics like database design, data storage and retrieval methods, and some social and ethical issues related to information systems.
This document provides information about database management systems (DBMS). It defines a DBMS as a software system that stores data, processes data, and provides information in an organized way. It discusses some popular DBMS software like MS Access, Oracle, SQL Server, and MySQL. The document also explains some key concepts in DBMS like tables, records, fields, and objects. It provides examples of how a database with tables can be used to store and organize information.
Staffing Research Data Services at University of EdinburghRobin Rice
Invited remote talk for Georg-August University of Göttingen workshop: RDM costs and efforts on 28 May in Göttingen. Organised by the project Göttingen Research Data Exploratory (GRAcE).
The document discusses the architecture and components of a database management system (DBMS). It describes the three levels of abstraction in a DBMS - physical, logical, and view levels. It also explains the roles of different types of database users and the responsibilities of a database administrator. The key components of a DBMS discussed include the storage manager, query processor, and functions like data storage, security management, and database access.
This document provides an introduction to database concepts. It discusses the limitations of file-based systems, including data redundancy, lack of data sharing, and inconsistent data updates across programs. These issues are addressed by the database approach, which involves centralized data storage and a database management system (DBMS) to control access. Key advantages of the database approach include data independence, reduced redundancy, improved integrity and security. The document also outlines the typical components and roles involved in a DBMS environment.
This document provides an outline for a course on databases and database users. It introduces key concepts about databases including what a database is, database properties, database management systems, actors involved with databases like administrators and designers, advantages of databases over file systems, and common database applications. The outline covers topics that will be taught like introduction to PHP and MySQL, how to code applications with databases, and how to perform common tasks with databases.
This document provides an introduction to SQL and databases. It discusses the proliferation of data and importance of databases. Key topics covered include different types of databases, the components of a database system including the DBMS, and the functions of a DBMS. The document traces the evolution of databases from manual file systems to integrated database management systems and discusses important database terminology like metadata and relationships. It also emphasizes the importance of database design.
This document provides an overview of the organization and content of a course on data modeling and databases. It discusses the following key points:
- The course is split into instruction groups led by professors and student assistants. Assessments include weekly homework assignments and a final exam.
- The course covers topics like the relational model, functional dependencies, data modeling, and database design. It examines how to represent real-world data and relationships in a database using different modeling approaches.
- Database management systems help address issues like data redundancy, inconsistency, isolation, and integrity that can arise when directly building applications on file systems. The course focuses on data manipulation and retrieval as well as database design.
The document discusses database systems and provides an overview of key concepts. It begins with a brief history of databases, from early file-based systems to modern relational databases. It then defines what a database is, the components of a database system including data, software, hardware and users. The roles of different database users are identified. Database management systems are introduced as the software that allows users to store, organize, update and protect data.
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
This document discusses database management systems and the database development lifecycle. It defines DBMS as software that manages databases and provides functions like data definition, retrieval, updating and administration. It describes the characteristics of data in databases and advantages like redundancy control and data sharing. The document outlines the planning, analysis, design, implementation and maintenance phases of both the software development lifecycle and database development lifecycle. It also covers different database models like hierarchical, network and relational.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEMHODECEDSIET
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTjpsjournal1
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
3. TEXT BOOK TO STUDY
▪ DATABASE SYSTEM CONCEPTS by HENRY F. KORTH, ABRAHAM
SILBERSCHATZ, S. SUDARSHAN, MCGRAW HILL EDUCATION
4. Text book and reference book
Text Books:
1.DATABASE SYSTEM CONCEPTS by HENRY F. Korth, Abraham
Silberschatz, S. Sudarshan, Mcgraw Hill Education
References:
1.THE PROGRAMMING LANGUAGE OF ORACLE by Ivan Byross, BPB
Publications
2.DATABASE SYSTEMS: MODELS, LANGUAGES, DESIGN AND
APPLICATION PROGRAMMING by Ramez Elmasri, Shamkant B.
Navathe, Pearson
3.AN INTRODUCTION TO DATABASE SYSTEMS by C. J.Date, S.
Swamynathan, A. Kannan, Pearson
5. Complete evaluation criteria for the course
CA1: 30 marks- Test-1
CA2: 30 marks- Test 2
CA3: 30 marks- BYOD Practical
(BEST 2 out of 3)
Mid Term- MCQs based
End Term- MCQs based
7. Difference Between Data and Information ?
• Data is an individual unit that contains raw material which does not carry any specific
meaning.
• Information is a processed, organised data presented in a given context and is useful to
humans.
• Information is a group of data that collectively carry a logical meaning.
• KNOWLEDGE ?
8. Dataset and database
• A dataset is a structured collection of data generally associated with a unique body of
work.
• A database is an organized collection of data stored as multiple datasets
9. ANSWER THIS
HOW MANY USERS ARE THERE ON FACEBOOK ?
HOW MUCH TIME WILL IT TAKE TO WATCH ALL VIDEOS ON YOUTUBE ?
HOW MANY TRANSACTION PER MINUTE ARE DONE ON AMAZON DURING
DIWALI SALES ?
DO WE HAVE INFINITE STORAGE ?
16. Data and information
• Raw material that can be processed by any computing machine is data.
• Images, words, numbers , sounds etc. all forms different representations of
the data.
17. Database
• A database is actually a place where related piece of information is
stored and various operations can be performed on it.
• we can say database is a shared collection of logically related data in a
systematic manner
19. Introduction to DBMS
• DBMS=Database Management System
• Database+Management+System
• In which the database is managed by the system.
• Database Management System
• Database+Management System
collection of data is a set of program to store &
retrieve the data.
20. • A DBMS is a software(or a collection of programs) that
enables users to store modify and extract information from a
database as per the requirements.
• DBMS is actually a tool that is used to perform any kind of
operation on data in database.
• Some DBMS examples:
• MySQL
• Oracle
• My SQL server
• IBM DB2
• SYnase
22. Course Outcome
CO1 :: explain the Database components and logical design of databases
CO2 :: practice relational constructs like algebra, constraints and SQL
CO3 :: possess knowledge on the different issues involved in the design and implementation of
relational database system
CO4 :: learn the transaction management systems in single and concurrent environment
CO5 :: practice programming constructs such as functions, stored procedures and triggers that
can be shared by multiple forms
CO6 :: discuss file organization techniques, reports and data management applications
23. • PO1
Engineering Knowledge:: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering
specialization to the solution of complex engineering problems.
• PO2
Problem Analysis:: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated
conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3
Design/development of solutions:: Design solutions for complex engineering problems and design system components or
processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural,
societal, and environmental considerations.
• PO4
Conduct investigations of complex problems:: Use research-based knowledge and research methods including design of
experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Program Outcomes
24. • PO5
Modern tool usage:: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools
including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6
The engineer and society:: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and
cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• PO7
Environment and sustainability:: Understand the impact of the professional engineering solutions in societal and
environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• PO8
Ethics:: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9
Individual and team work:: Function effectively as an individual, and as a member or leader in diverse teams, and in
multidisciplinary settings.
Program Outcomes
25. • PO10
Communication:: Communicate effectively on complex engineering activities with the engineering community and with society at
large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and
give and receive clear instructions.
• PO11
Project management and finance:: Demonstrate knowledge and understanding of the engineering, management principles and
apply the same to one’s own work, as a member or a leader in a team, manage projects efficiently in respective disciplines and
multidisciplinary environments after consideration of economic and financial factors.
• PO12
Life-long learning:: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in
the broadest context of technological change.
• PO13
Competitive Skills:: Ability to compete in national and international technical events and building the competitive spirit along with
having a good digital footprint.
Program Outcomes
26. UNIT 1: INTRODUCTION TO
DATABASES
▪ What is data?
In simple words, data can be facts related to any object in consideration, For example
your name, age, height, weight, etc. are some data related to you.
A picture, image, file, pdf etc. can also be considered data.
27. ABOUT DATABASE!
What is a database?
A database is a systemic collection of data. Since the data in
the database is organized, it makes data management easy.
Database Management system (DBMS) is a collection of
programs which enables its users to access Database,
manipulate data and help in representation of data.
It also helps control access to the database by various users
Just like a
container
where
your data
is stored
28. DATABASE MANAGEMENT
SYSTEM
A collection of programs which enables users to access
database, manipulate data and represent data.
A technology to store and retrieve data with utmost
efficiency along with appropriate security measures.
33. ALSO SQL !!
A standardised programming language which is used for
managing relational databases
With SQL you can modify databases , add, update or delete
rows of data, retrieve subsets of information from a
database
Queries and other SQL operations are written as
statements.
35. UNIT 3: RELATIONAL
DATABASE DESIGN
Relational database design (RDD) models information and
data into a set of tables with rows and columns. Each row of
a relation/table represents a record, and each column
represents an attribute of data.
The design of a relational database is composed of four stages, where the data
are modeled into a set of related tables. The stages are:
Define relations/attributes
Define primary keys
Define relationships
Normalization
36. UNIT 4: DATABASE
TRANSACTION PROCESSING
What happens when you send
1000 rs to your friend and he has
not received it??
38. UNIT 5: PROGRAMMING
CONSTRUCTS IN DATABASES
▪ You will study
▪ Flow control statements
▪ Functions
▪ Stored Procedures
▪ Cursors
▪ Triggers
▪ Exception Handling
39. UNIT 6: FILE ORGANIZATION
AND TRENDS IN DATABASES
File Organization refers to the logical relationships among various
records that constitute the file, particularly with respect to the
means of identification and access to any specific record
In simple terms, Storing the files in certain order is called file
Organization.
File Structure refers to the format of the label and data blocks
and of any logical control record.
40. Big data is data that contains greater variety arriving in increasing
volumes and with ever-higher velocity. This is known as the three Vs.
The 3 V’s of Big Data
Volume
Velocity
Variety
42. MOOCs or Industry certification
Details of MOOC
Provider
MOOC Name Online Link for MooC
Swayam Database Management System
https://onlinecourses.nptel.ac.in/noc23_cs29/preview
Great Learning
SQL for Data Science
https://www.mygreatlearning.com/academy/learn-for-free/courses/sql-
for-data-science
Udemy Database Management Systems
https://www.udemy.com/course/database-management-system/