This material aims for giving an introduction to course of Algorithm and Data Structure that comprises of syllabus, references, assessment, and lecture contract
Algorithm and Data Structure - Concept of Algorithm and Data StructureAndiNurkholis1
This material contains an understanding of algorithm concept that comprises of historical, terminology, characteristics, example, and their correlation with data structure
Main points of this slide presentation:
1.What is statistics?
2.Application
3.Application of Statistics in Computer Science and Engineering
4.Machine learning’s Relation to statistics
5.Application of Statistics in Data mining
6.Data mining relation with Statistics
7.Outline of Applications
8.Some Outline of Application’s details are given below
Thank you
This slide is about Application of-statistics-in-CSE.Here you can helps from statistics application.This slide is very easy to understand and very helpful for engineering student.Specially for bangladeshi student.
Significant Role of Statistics in Computational SciencesEditor IJCATR
This paper is focused on the issues related to optimizing statistical approaches in the emerging fields of Computer Science
and Information Technology. More emphasis has been given on the role of statistical techniques in modern data mining. Statistics is
the science of learning from data and of measuring, controlling, and communicating uncertainty. Statistical approaches can play a vital
role for providing significance contribution in the field of software engineering, neural network, data mining, bioinformatics and other
allied fields. Statistical techniques not only helps make scientific models but it quantifies the reliability, reproducibility and general
uncertainty associated with these models. In the current scenario, large amount of data is automatically recorded with computers and
managed with the data base management systems (DBMS) for storage and fast retrieval purpose. The practice of examining large preexisting
databases in order to generate new information is known as data mining. Presently, data mining has attracted substantial
attention in the research and commercial arena which involves applications of a variety of statistical techniques. Twenty years ago
mostly data was collected manually and the data set was in simple form but in present time, there have been considerable changes in
the nature of data. Statistical techniques and computer applications can be utilized to obtain maximum information with the fewest
possible measurements to reduce the cost of data collection.
This presentation summarizes a research paper that used machine learning to predict the performance and dropout rates of computer science students in Bangladesh. The research collected data from current computer science students and used algorithms like SVM, naive Bayes, and neural networks. The models could predict student GPA, programming skills, and likelihood of dropping out with up to 98.2% accuracy. The research identified key factors like prior academic results that influence student success. The findings could help students and universities by identifying those at risk of dropping out and supporting students to achieve better results.
The proposal of the viral model of information which is considering social me...Daisuke Sashida
This document discusses research analyzing social media usage in Japan. It examines changes in social media users over time and how companies use social media. The research aims to understand the behavior of social media recipients and analyze Facebook pages to classify social media into types. It also describes developing a probability hierarchy model to understand information diffusion on social media and conducting statistical tests and keyword extraction to study linguistic and nonlinguistic information. The conclusion discusses determining relationship types between social media users through structural equation modeling analysis.
This paper provides a comprehensive survey of research on tree patterns (TPs) and related issues for querying XML data over the past 10 years. It outlines and compares various features of tree patterns and reviews two main approaches for optimizing tree pattern matching: pattern tree minimization and holistic matching. The paper aims to provide a global overview of the significant research on tree pattern-based developments for efficiently querying XML data.
Algorithm and Data Structure - Concept of Algorithm and Data StructureAndiNurkholis1
This material contains an understanding of algorithm concept that comprises of historical, terminology, characteristics, example, and their correlation with data structure
Main points of this slide presentation:
1.What is statistics?
2.Application
3.Application of Statistics in Computer Science and Engineering
4.Machine learning’s Relation to statistics
5.Application of Statistics in Data mining
6.Data mining relation with Statistics
7.Outline of Applications
8.Some Outline of Application’s details are given below
Thank you
This slide is about Application of-statistics-in-CSE.Here you can helps from statistics application.This slide is very easy to understand and very helpful for engineering student.Specially for bangladeshi student.
Significant Role of Statistics in Computational SciencesEditor IJCATR
This paper is focused on the issues related to optimizing statistical approaches in the emerging fields of Computer Science
and Information Technology. More emphasis has been given on the role of statistical techniques in modern data mining. Statistics is
the science of learning from data and of measuring, controlling, and communicating uncertainty. Statistical approaches can play a vital
role for providing significance contribution in the field of software engineering, neural network, data mining, bioinformatics and other
allied fields. Statistical techniques not only helps make scientific models but it quantifies the reliability, reproducibility and general
uncertainty associated with these models. In the current scenario, large amount of data is automatically recorded with computers and
managed with the data base management systems (DBMS) for storage and fast retrieval purpose. The practice of examining large preexisting
databases in order to generate new information is known as data mining. Presently, data mining has attracted substantial
attention in the research and commercial arena which involves applications of a variety of statistical techniques. Twenty years ago
mostly data was collected manually and the data set was in simple form but in present time, there have been considerable changes in
the nature of data. Statistical techniques and computer applications can be utilized to obtain maximum information with the fewest
possible measurements to reduce the cost of data collection.
This presentation summarizes a research paper that used machine learning to predict the performance and dropout rates of computer science students in Bangladesh. The research collected data from current computer science students and used algorithms like SVM, naive Bayes, and neural networks. The models could predict student GPA, programming skills, and likelihood of dropping out with up to 98.2% accuracy. The research identified key factors like prior academic results that influence student success. The findings could help students and universities by identifying those at risk of dropping out and supporting students to achieve better results.
The proposal of the viral model of information which is considering social me...Daisuke Sashida
This document discusses research analyzing social media usage in Japan. It examines changes in social media users over time and how companies use social media. The research aims to understand the behavior of social media recipients and analyze Facebook pages to classify social media into types. It also describes developing a probability hierarchy model to understand information diffusion on social media and conducting statistical tests and keyword extraction to study linguistic and nonlinguistic information. The conclusion discusses determining relationship types between social media users through structural equation modeling analysis.
This paper provides a comprehensive survey of research on tree patterns (TPs) and related issues for querying XML data over the past 10 years. It outlines and compares various features of tree patterns and reviews two main approaches for optimizing tree pattern matching: pattern tree minimization and holistic matching. The paper aims to provide a global overview of the significant research on tree pattern-based developments for efficiently querying XML data.
The document outlines the study program for the Information Systems program at the Faculty of Engineering and Computer Science for the 2020-2021 academic year. It includes details about the program's curriculum, which allows students to develop web-based information systems using Laravel and Bootstrap frameworks to visualize MySQL data. Assessment is based on assignments, quizzes, midterm exams, and projects, with final grades determined on a standard A-E scale based on total scores. Program policies outline expectations for attendance, assignments, smartphone use, and food/drink in class.
The document summarizes the orders issued by the University of Calicut regarding the implementation of the revised regulation, scheme, and syllabus of the Master of Computer Applications (MCA) program from the 2010 admission onwards. It discusses the approval of the changes by the Board of Studies in Engineering, Faculty of Engineering, and Academic Council. The orders state that the appended revised regulations, scheme, and syllabi of the MCA course will be implemented starting from the 2010 admission as per the discussions and approvals of the academic bodies. The principals of affiliated engineering colleges offering the MCA course are informed about this decision.
This document provides a course file for the "Programming in C" course offered from July 2013 to November 2013. It includes information on the course objectives, syllabus, lecture schedule, assignments, and assessments. The file also maps the course outcomes to the program outcomes to demonstrate how the course meets the overall program objectives.
This document provides an overview of the Department of Computer Science and Engineering at an institution. It includes the vision, mission, program objectives, and outcomes of the department. It also details the department profile including intake numbers, affiliations, and achievements. Physical resources like classrooms, labs, staff rooms and library are outlined. The teaching-learning process including academic calendar, course delivery, monitoring, and additional topics covered are described. Evaluation methods, student activities, and future plans are also summarized.
This document outlines a Machine Learning course for a Bachelor of Engineering program. The course introduces concepts of machine learning, algorithms, and applications. It is a 4 credit course taught over 3 hours of lecture and 2 hours of practical per week. The content covers topics like introduction to machine learning, preparing data, modeling and evaluation, feature engineering, probability, Bayesian learning, supervised learning algorithms like classification and regression, unsupervised learning and clustering, and neural networks. Student learning is assessed through theory exams, practical exams, assignments, and course outcomes. Recommended textbooks and online resources are also provided.
This document outlines the program structure for the B.E. Computer Engineering (Rev. 2016) at the University of Mumbai for semesters VII and VIII. It includes:
- The list of courses offered each semester along with their credit values and teaching schemes.
- The examination scheme for each course including internal assessment, end semester exams, and duration.
- Detailed content and assessment details for some sample courses.
The program offers a mix of core computer engineering courses, department level electives, and institute level electives each semester, along with associated labs and a major project spread over two semesters. Courses cover topics such as digital signal processing, artificial intelligence, distributed computing, and more.
The document provides the syllabus for the 3rd year 1st semester courses for the Computer Science and Engineering department at Jawaharlal Nehru Technological University Kakinada, including courses on Data Warehousing and Data Mining, Computer Networks, Compiler Design, Artificial Intelligence, and Professional Electives, along with information on class schedules, course objectives, and reading materials.
This document outlines the examination scheme for M.Sc. Computer Science program for the 2019-20 academic year. It provides details on eligibility criteria, pass criteria, classification of successful candidates, instructions for paper setters, workload expectations, and instructions for students and examiners. It includes the scheme of examination, listing the papers, duration, marks distribution, etc. for both M.Sc. previous and final year examinations. It also provides syllabus details and reading materials for some of the papers.
This document outlines the course requirements for the BS in Computer Science program at Government College University Faisalabad over eight semesters. It provides the course codes, titles, credit hours, and brief descriptions for core computer science and general education courses each semester. Some key courses included are Programming Fundamentals, Object Oriented Programming, Data Structures and Algorithms, Operating Systems, Computer Networks, Database Systems, Software Engineering, and a final project in the 8th semester. The program aims to provide students with a solid foundation in computer science fundamentals as well as skills in programming, algorithms, systems, and applications.
Samir Kumar is a third year undergraduate computer science student at NIT Jalandhar with a GPA of 7.4/10. His interests include machine learning, big data, data structures, and algorithms. He has achieved high ranks in programming contests including ranking 108th in CodeChef and qualifying for the first round of Facebook Hacker Cup 2016. He has also implemented projects in operating systems, data structures, machine learning algorithms, and more.
M.tech.(cse) (regular) part i(semester i & ii)Rekha Bhatia
1. The document outlines the syllabus, course structure, teaching hours, credits and assessment details for the first year of the M.Tech Computer Science and Engineering program at Punjabi University, Patiala.
2. The first semester includes courses in Object Oriented Programming using C++, Operating Systems, Computer Architecture, Data Structures and Algorithms, and a Software Lab. Students also choose one elective course.
3. The second semester covers Computer Networks and Distributed Systems, Research Methodology, Software Engineering, Computer Graphics, another Software Lab, and an elective course.
4. Assessment includes continuous internal assessment and an external exam for theory courses, and continuous assessment of lab assignments and tests for
This document provides information about the Mobile Computing course CS4284/5284. It discusses the course objectives, topics, assessment methods, textbooks, schedule, and expectations. The course aims to provide an overview of important mobile computing and communications issues, grouped into basic issues, mobile network architectures, mobile services, and communication protocols. It will cover topics like cellular networks, mobility management, mobile TCP, and mobile data management. Students will be assessed through exams, projects, assignments, and papers. The goals are for students to understand fundamental problems and solutions in mobile computing and be able to apply their learning.
Hi This is upendra kumar malla.Completed B.Tech mechanical and working in a private sector. I want to share my knowledge to students through this channel.
List of 500+ videos in 43 playlist are available in this channel. Please find playlist links below
1.Refrigeration and Air conditioning
https://www.youtube.com/watch?v=e9D_gP2zA6Q&list=PLACnzDzyaitZtsVQSAFFisTbU-f9SeDy7
2.Thermodynamcis
https://www.youtube.com/watch?v=U1ZkfIhCMA0&list=PLACnzDzyaitaqetoegynXviZTU4PgABQK
3.Pumps
https://www.youtube.com/watch?v=iWc5d-3Z51U&list=PLACnzDzyaitY-4LLYRWztHJhC3AgJEsfM
4.Fluid Mechanics and Hydraulic machines
https://www.youtube.com/watch?v=dS89DyezJiY&list=PLACnzDzyaitZGIic1K_y8OMu-WLvTfmiu
5.Strenght of materials
https://www.youtube.com/watch?v=lxRnTpsRkgE&list=PLACnzDzyaitaL0OQgPn3w0ZM6bIFzPSsA
6.Automobile Engineering
https://www.youtube.com/watch?v=hy2OspOI-q4&list=PLACnzDzyaitaNwmXpQ064SjgPxsMQBNVy
7.Design of machine members
https://www.youtube.com/watch?v=eUcNFAFMKy8&list=PLACnzDzyaitYPx1JrAxpHDfSpUNv0IIWg
8.Kinematics of machinery
https://www.youtube.com/watch?v=O_fBHv3xYxY&list=PLACnzDzyaitYh4KYyObO81epynVM1LT2U
9.Piping basics
https://www.youtube.com/watch?v=6Wlvo6VAhRQ&list=PLACnzDzyaitY0zcrLo_JSK_eOQzPbTSgQ
10.Engineering Drawing/Graphics/Machine Drawing/Production Drawing
https://www.youtube.com/watch?v=6z7gdCzI8II&list=PLACnzDzyaitavpLZl2vdpo46xf6jjDQxu
11.Engineering Materials
https://www.youtube.com/watch?v=0LWB1_yB_jQ&list=PLACnzDzyaitYfQ3VXwnEHYp2IK5RZhPRf
12.Safety basics and Training
https://www.youtube.com/watch?v=G1aIiggAhHs&list=PLACnzDzyaitanyyZtxLW9ezB571iUPzdE
13.NDT/Non destructive testing methods
https://www.youtube.com/watch?v=FSndHigT934&list=PLACnzDzyaitZrxeeDr_bFC0NmE6h_g_Lt
14.Operariona and research
https://www.youtube.com/watch?v=yeXZZn4TDAo&list=PLACnzDzyaitapnbl9bv7T7MYleouUZeuj
15.Heat Transfer
https://www.youtube.com/watch?v=e6yyzHzkgZY&list=PLACnzDzyaitaJy3wGCMCCcSf0vRhLNb1S
16.Dynamics of machines
https://www.youtube.com/watch?v=gpf362lD9qA&list=PLACnzDzyaitZtxYpLGZ6naFBvFDZNVLtI
17.Computer Aided Manufacturing
https://www.youtube.com/watch?v=T8t3jjJXmew&list=PLACnzDzyaitYHJG0DAETjh-Sw5caq2sUG
18.Production Technology
https://www.youtube.com/watch?v=nGq9s3Ut5pU&list=PLACnzDzyaitZJP43obf6R0u6fVr4gjNwL
19.Steam generators or Boilers
https://www.youtube.com/watch?v=iiYMRjgmvZI&list=PLACnzDzyaitax4C-Ra3kWmgGUF6zbBCGO
20.I.C.Engines/Thermal Engineering
https://www.youtube.com/watch?v=a_HmTBokZ6E&list=PLACnzDzyaitYgXi7cI9DgYEjh7kNOlU41
21.Bearings
https://www.youtube.com/watch?v=grNtK_En99g&list=PLACnzDzyaitZpRI1a9Lse6HtUhBLRWwN3
22.welding basics
https://www.youtube.com/watch?v=blxwsA8PeNY&list=PLACnzDzyaitYI1i5V5PeRpEWRKVoYid6A
23.Cams and followers/Kinematics of machines
https://www.youtube.com/watch?v=tHqjNni0Q6k&list=PLACnzDzyaitalf0laA3ufjGge_7BitIs5
The document outlines the revised syllabus for the Bachelor of Engineering in Information Technology program at the University of Mumbai effective from the 2016-17 academic year onwards. It introduces the choice based credit and grading system and discusses the implementation of this system across second, third, and final years from 2017-18, 2018-19, and 2019-20 respectively. The preamble provides background on aligning engineering education with outcome-based learning and emphasizes the role of accreditation in quality assurance. Program outcomes for the IT program are also listed.
The document provides details of the revised syllabus for the Bachelor of Engineering in Information Technology program at the University of Mumbai effective from the 2016-17 academic year onwards. It includes the program structure, course details, course objectives and outcomes for the third semester. The syllabus covers topics like applied mathematics, logic design, data structures, databases, communications and includes labs. It aims to incorporate latest technologies and improve employability. The revised syllabus was prepared by faculty involving industry experts and focuses on outcome-based education.
1. The decimal, binary, octal and excess-3 code conversions are shown along with addition using excess-3 code. Boolean minimization using K-maps is used to simplify the given expressions which are then implemented using logic gates. Identification of error location in hamming code and decoding of message is also demonstrated.
2. Simplified Boolean expressions are obtained for the given functions using Karnaugh maps and Quine-McCluskey method. The expressions are then implemented using NOR gates only. Identification of error location in a received hamming code and decoding of the message is also shown.
3. Conversions between number systems
Material for this slide includes:
1. Description of firebase and reason to use it
2. What are the benefits of firebase?
3. Major features of firebase
4. Description of firebase cloud storage and their benefits
5. Description of firebase realtime database and their benefits
6. Description of firebase authentication and their benefits
7. Description of firebase analytics and their benefits
8. How to Setup Firebase?
Mobile Programming - 9 Profile UI, Navigation Basic and Splash ScreenAndiNurkholis1
Material for this slide includes:
1. Description of profile UI and their examples
2. Tips on how to build profile UI
3. Description of navigation and their examples
4. Tips on how to build navigation
5. Description and how splash screen works
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The document outlines the study program for the Information Systems program at the Faculty of Engineering and Computer Science for the 2020-2021 academic year. It includes details about the program's curriculum, which allows students to develop web-based information systems using Laravel and Bootstrap frameworks to visualize MySQL data. Assessment is based on assignments, quizzes, midterm exams, and projects, with final grades determined on a standard A-E scale based on total scores. Program policies outline expectations for attendance, assignments, smartphone use, and food/drink in class.
The document summarizes the orders issued by the University of Calicut regarding the implementation of the revised regulation, scheme, and syllabus of the Master of Computer Applications (MCA) program from the 2010 admission onwards. It discusses the approval of the changes by the Board of Studies in Engineering, Faculty of Engineering, and Academic Council. The orders state that the appended revised regulations, scheme, and syllabi of the MCA course will be implemented starting from the 2010 admission as per the discussions and approvals of the academic bodies. The principals of affiliated engineering colleges offering the MCA course are informed about this decision.
This document provides a course file for the "Programming in C" course offered from July 2013 to November 2013. It includes information on the course objectives, syllabus, lecture schedule, assignments, and assessments. The file also maps the course outcomes to the program outcomes to demonstrate how the course meets the overall program objectives.
This document provides an overview of the Department of Computer Science and Engineering at an institution. It includes the vision, mission, program objectives, and outcomes of the department. It also details the department profile including intake numbers, affiliations, and achievements. Physical resources like classrooms, labs, staff rooms and library are outlined. The teaching-learning process including academic calendar, course delivery, monitoring, and additional topics covered are described. Evaluation methods, student activities, and future plans are also summarized.
This document outlines a Machine Learning course for a Bachelor of Engineering program. The course introduces concepts of machine learning, algorithms, and applications. It is a 4 credit course taught over 3 hours of lecture and 2 hours of practical per week. The content covers topics like introduction to machine learning, preparing data, modeling and evaluation, feature engineering, probability, Bayesian learning, supervised learning algorithms like classification and regression, unsupervised learning and clustering, and neural networks. Student learning is assessed through theory exams, practical exams, assignments, and course outcomes. Recommended textbooks and online resources are also provided.
This document outlines the program structure for the B.E. Computer Engineering (Rev. 2016) at the University of Mumbai for semesters VII and VIII. It includes:
- The list of courses offered each semester along with their credit values and teaching schemes.
- The examination scheme for each course including internal assessment, end semester exams, and duration.
- Detailed content and assessment details for some sample courses.
The program offers a mix of core computer engineering courses, department level electives, and institute level electives each semester, along with associated labs and a major project spread over two semesters. Courses cover topics such as digital signal processing, artificial intelligence, distributed computing, and more.
The document provides the syllabus for the 3rd year 1st semester courses for the Computer Science and Engineering department at Jawaharlal Nehru Technological University Kakinada, including courses on Data Warehousing and Data Mining, Computer Networks, Compiler Design, Artificial Intelligence, and Professional Electives, along with information on class schedules, course objectives, and reading materials.
This document outlines the examination scheme for M.Sc. Computer Science program for the 2019-20 academic year. It provides details on eligibility criteria, pass criteria, classification of successful candidates, instructions for paper setters, workload expectations, and instructions for students and examiners. It includes the scheme of examination, listing the papers, duration, marks distribution, etc. for both M.Sc. previous and final year examinations. It also provides syllabus details and reading materials for some of the papers.
This document outlines the course requirements for the BS in Computer Science program at Government College University Faisalabad over eight semesters. It provides the course codes, titles, credit hours, and brief descriptions for core computer science and general education courses each semester. Some key courses included are Programming Fundamentals, Object Oriented Programming, Data Structures and Algorithms, Operating Systems, Computer Networks, Database Systems, Software Engineering, and a final project in the 8th semester. The program aims to provide students with a solid foundation in computer science fundamentals as well as skills in programming, algorithms, systems, and applications.
Samir Kumar is a third year undergraduate computer science student at NIT Jalandhar with a GPA of 7.4/10. His interests include machine learning, big data, data structures, and algorithms. He has achieved high ranks in programming contests including ranking 108th in CodeChef and qualifying for the first round of Facebook Hacker Cup 2016. He has also implemented projects in operating systems, data structures, machine learning algorithms, and more.
M.tech.(cse) (regular) part i(semester i & ii)Rekha Bhatia
1. The document outlines the syllabus, course structure, teaching hours, credits and assessment details for the first year of the M.Tech Computer Science and Engineering program at Punjabi University, Patiala.
2. The first semester includes courses in Object Oriented Programming using C++, Operating Systems, Computer Architecture, Data Structures and Algorithms, and a Software Lab. Students also choose one elective course.
3. The second semester covers Computer Networks and Distributed Systems, Research Methodology, Software Engineering, Computer Graphics, another Software Lab, and an elective course.
4. Assessment includes continuous internal assessment and an external exam for theory courses, and continuous assessment of lab assignments and tests for
This document provides information about the Mobile Computing course CS4284/5284. It discusses the course objectives, topics, assessment methods, textbooks, schedule, and expectations. The course aims to provide an overview of important mobile computing and communications issues, grouped into basic issues, mobile network architectures, mobile services, and communication protocols. It will cover topics like cellular networks, mobility management, mobile TCP, and mobile data management. Students will be assessed through exams, projects, assignments, and papers. The goals are for students to understand fundamental problems and solutions in mobile computing and be able to apply their learning.
Hi This is upendra kumar malla.Completed B.Tech mechanical and working in a private sector. I want to share my knowledge to students through this channel.
List of 500+ videos in 43 playlist are available in this channel. Please find playlist links below
1.Refrigeration and Air conditioning
https://www.youtube.com/watch?v=e9D_gP2zA6Q&list=PLACnzDzyaitZtsVQSAFFisTbU-f9SeDy7
2.Thermodynamcis
https://www.youtube.com/watch?v=U1ZkfIhCMA0&list=PLACnzDzyaitaqetoegynXviZTU4PgABQK
3.Pumps
https://www.youtube.com/watch?v=iWc5d-3Z51U&list=PLACnzDzyaitY-4LLYRWztHJhC3AgJEsfM
4.Fluid Mechanics and Hydraulic machines
https://www.youtube.com/watch?v=dS89DyezJiY&list=PLACnzDzyaitZGIic1K_y8OMu-WLvTfmiu
5.Strenght of materials
https://www.youtube.com/watch?v=lxRnTpsRkgE&list=PLACnzDzyaitaL0OQgPn3w0ZM6bIFzPSsA
6.Automobile Engineering
https://www.youtube.com/watch?v=hy2OspOI-q4&list=PLACnzDzyaitaNwmXpQ064SjgPxsMQBNVy
7.Design of machine members
https://www.youtube.com/watch?v=eUcNFAFMKy8&list=PLACnzDzyaitYPx1JrAxpHDfSpUNv0IIWg
8.Kinematics of machinery
https://www.youtube.com/watch?v=O_fBHv3xYxY&list=PLACnzDzyaitYh4KYyObO81epynVM1LT2U
9.Piping basics
https://www.youtube.com/watch?v=6Wlvo6VAhRQ&list=PLACnzDzyaitY0zcrLo_JSK_eOQzPbTSgQ
10.Engineering Drawing/Graphics/Machine Drawing/Production Drawing
https://www.youtube.com/watch?v=6z7gdCzI8II&list=PLACnzDzyaitavpLZl2vdpo46xf6jjDQxu
11.Engineering Materials
https://www.youtube.com/watch?v=0LWB1_yB_jQ&list=PLACnzDzyaitYfQ3VXwnEHYp2IK5RZhPRf
12.Safety basics and Training
https://www.youtube.com/watch?v=G1aIiggAhHs&list=PLACnzDzyaitanyyZtxLW9ezB571iUPzdE
13.NDT/Non destructive testing methods
https://www.youtube.com/watch?v=FSndHigT934&list=PLACnzDzyaitZrxeeDr_bFC0NmE6h_g_Lt
14.Operariona and research
https://www.youtube.com/watch?v=yeXZZn4TDAo&list=PLACnzDzyaitapnbl9bv7T7MYleouUZeuj
15.Heat Transfer
https://www.youtube.com/watch?v=e6yyzHzkgZY&list=PLACnzDzyaitaJy3wGCMCCcSf0vRhLNb1S
16.Dynamics of machines
https://www.youtube.com/watch?v=gpf362lD9qA&list=PLACnzDzyaitZtxYpLGZ6naFBvFDZNVLtI
17.Computer Aided Manufacturing
https://www.youtube.com/watch?v=T8t3jjJXmew&list=PLACnzDzyaitYHJG0DAETjh-Sw5caq2sUG
18.Production Technology
https://www.youtube.com/watch?v=nGq9s3Ut5pU&list=PLACnzDzyaitZJP43obf6R0u6fVr4gjNwL
19.Steam generators or Boilers
https://www.youtube.com/watch?v=iiYMRjgmvZI&list=PLACnzDzyaitax4C-Ra3kWmgGUF6zbBCGO
20.I.C.Engines/Thermal Engineering
https://www.youtube.com/watch?v=a_HmTBokZ6E&list=PLACnzDzyaitYgXi7cI9DgYEjh7kNOlU41
21.Bearings
https://www.youtube.com/watch?v=grNtK_En99g&list=PLACnzDzyaitZpRI1a9Lse6HtUhBLRWwN3
22.welding basics
https://www.youtube.com/watch?v=blxwsA8PeNY&list=PLACnzDzyaitYI1i5V5PeRpEWRKVoYid6A
23.Cams and followers/Kinematics of machines
https://www.youtube.com/watch?v=tHqjNni0Q6k&list=PLACnzDzyaitalf0laA3ufjGge_7BitIs5
The document outlines the revised syllabus for the Bachelor of Engineering in Information Technology program at the University of Mumbai effective from the 2016-17 academic year onwards. It introduces the choice based credit and grading system and discusses the implementation of this system across second, third, and final years from 2017-18, 2018-19, and 2019-20 respectively. The preamble provides background on aligning engineering education with outcome-based learning and emphasizes the role of accreditation in quality assurance. Program outcomes for the IT program are also listed.
The document provides details of the revised syllabus for the Bachelor of Engineering in Information Technology program at the University of Mumbai effective from the 2016-17 academic year onwards. It includes the program structure, course details, course objectives and outcomes for the third semester. The syllabus covers topics like applied mathematics, logic design, data structures, databases, communications and includes labs. It aims to incorporate latest technologies and improve employability. The revised syllabus was prepared by faculty involving industry experts and focuses on outcome-based education.
1. The decimal, binary, octal and excess-3 code conversions are shown along with addition using excess-3 code. Boolean minimization using K-maps is used to simplify the given expressions which are then implemented using logic gates. Identification of error location in hamming code and decoding of message is also demonstrated.
2. Simplified Boolean expressions are obtained for the given functions using Karnaugh maps and Quine-McCluskey method. The expressions are then implemented using NOR gates only. Identification of error location in a received hamming code and decoding of the message is also shown.
3. Conversions between number systems
Similar to Algorithm and Data Structure - Introduction (20)
Material for this slide includes:
1. Description of firebase and reason to use it
2. What are the benefits of firebase?
3. Major features of firebase
4. Description of firebase cloud storage and their benefits
5. Description of firebase realtime database and their benefits
6. Description of firebase authentication and their benefits
7. Description of firebase analytics and their benefits
8. How to Setup Firebase?
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Material for this slide includes:
1. Description of profile UI and their examples
2. Tips on how to build profile UI
3. Description of navigation and their examples
4. Tips on how to build navigation
5. Description and how splash screen works
Mobile Programming - 8 Progress Bar, Draggable Music Knob, TimerAndiNurkholis1
Material for this slide includes:
1. Description of progress bar and their types
2. Description of draggable music knob and their examples
3. Description of timer and and their examples
Mobile Programming - 7 Side Effects, Effect Handlers, and Simple AnimationsAndiNurkholis1
Material for this slide includes:
1. Description of effect handlers and their types
2. Description of side effects and their examples
3. Description of animations and their APIs in Jetpack Compose
Mobile Programming - 6 Textfields, Button, Showing Snackbars and ListsAndiNurkholis1
Material for this slide includes:
1. Jetpack compose UI element
2. Textfield in jetpack compose (simple, outlined, rounded corner, password)
3. Button in jetpack compose (simple, round, outlined, background color)
4. Snackbar in jetpack compose (simple and custom)
5. Description of list and examples
Mobile Programming - 4 Modifiers and Image CardAndiNurkholis1
Material for this slide includes:
1. Description of modifiers and examples
2. Built-in modifiers
3. Description of image card and examples
4. Styling the card
Mobile Programming - 3 Rows, Column and Basic SizingAndiNurkholis1
Material for this slide includes:
1. Compose Layout Basics
2. Jetpack Compose Layout Structure
3. Composable Function
4. Column Layout
5. Row Layout
6. Box Layout
7. Children Position
Material for this slide includes:
1. Android Jetpack
2. Advantage of Jetpack
3. Jetpack Compose for UI
4. Why is Compose Getting So Popular?
5. Composable Function
Algoritma dan Struktur Data (Python) - Struktur I/OAndiNurkholis1
Struktur input/output dan runtunan adalah konsep dasar dalam pemrograman yang mencakup proses memasukkan dan mengeluarkan data, serta alur kerja program dari atas ke bawah mulai dari input, proses, hingga output. Variabel, tipe data, operator, dan komentar merupakan komponen penting lainnya yang mendukung struktur tersebut.
Algoritma dan Struktur Data (Python) - Notasi AlgoritmikAndiNurkholis1
Notasi algoritmik adalah media untuk mendokumentasikan algoritma menjadi bentuk yang dapat dimengerti secara universal dengan menggunakan simbol-simbol dan aturan-aturan tertentu seperti notasi deskriptif, flowchart, dan pseudo-code."
Algoritma dan Struktur Data (Python) - Pengantar AlgoritmaAndiNurkholis1
Mahasiswa memahami prinsip kerja program dan mampu menggambarkan logika jalannya program dalam bentuk algoritma dan diagram alir. Penilaian mata kuliah ini didasarkan pada quiz, tugas, ujian tengah semester, dan ujian akhir semester dengan bobot tertentu.
Algorithm and Data Structure - Binary SearchAndiNurkholis1
This material aims to enable students to:
1) Understanding searching algorithm concept
2) Understanding characteristic of binary search
3) Understanding steps of binary search
4) Knowing of advantage and disadvantage of binary search
Algorithm and Data Structure - Linear SearchAndiNurkholis1
This material aims to enable students to:
1) Understanding searching algorithm concept
2) Understanding characteristic of linear search
3) Understanding steps of linear search
4) Knowing of advantage and disadvantage of linear search
This material aims to enable students to:
1) Understanding queue concept
2) Understanding enqueue, dequeue, front, rear operation in a queue
3) Understanding working of queue
4) Knowing of queue application
This material aims to enable students to:
1) Understanding stack concept
2) Understanding push, pop, peek or top, isEmpty, isFull operation in a stack
3) Understanding working of stack
4) Knowing of stack application
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
AppSec PNW: Android and iOS Application Security with MobSF
Algorithm and Data Structure - Introduction
1. Algorithm and
Data Structure
Andi Nurkholis, S.Kom, M.Kom
Study Program of Informatics
Faculty of Engineering and Computer Science
SY. 2020-2021
February 15, 2021
3. 3
Competency Standard
Student can understand and apply concept of basic
algorithm and data structure that include array and
struct, modular programming, stack, queue,
searching, and sorting
4. 4
Sub Bab
1) Concept of Algorithm and Data
Structure
2) Array and Struct
3) Modular Programming
4) Stack
5) Queue
6) Searching
7) Sorting
5. 5
References
1) Munir, Rinaldi. 2016. Algoritma dan Pemrograman dalam Bahasa Pascal, C,
dan C++ Edisi Keenam. Jawa Barat: Informatika
2) A.S, Rosa. 2018. Logika Algoritma Dan Pemrograman Dasar. Modula
Bandung.
3) A.S, Rosa. 2018. Struktur data terapan dalam berbagai bahasa
pemrograman pascal C, C++, dan java. Modula Bandung.
4) Munir, Rinaldi. 2011. Algoritma dan Pemrograman dalam Bahasa Pascal
dan C (Edisi Revisi). Jawa Barat: Informatika
5) Liem, Inggriani. 1993. Algoritma dan Pemrograman. Jilid 1 dan 2. Bandung:
Teknik Informatika, ITB.
6) Sedgewick, R., & Wayne, K. 2011. Algorithms, Fourth Edition. Addison-
wesley professional.
6. 6
Lecture Contract
Final score is determined based on four components as follows:
Assessment component Weight (%)
Assignment 30
Quiz 20
Mid exam 25
Final exam 25
7. 7
Lecture Contract (cont.)
Final score is determined based on four components as follows:
Final score Grade
90-100 A
80-89 B
70-79 C
60-69 D
<60 E
8. 8
Lecture
Contract
(cont.)
• Comply with Teknokrat University
standard
✓ Clothes and accessories
✓ Hair
• Minimum presence is 80% (11
meetings)
✓ In addition, grade will not get A or B
✓ Presence consists of 2 statements,
namely permission and alpha
9. 9
Lecture
Contract
(cont.)
• Delay that can be tolerated is 5 minutes
• Delay in an assignment is subject to a
20-point deduction. More than 7 days,
the point is zero
• Use of a smartphone is permitted
under the conditions specified
• Not allowed to bring food, but drinking
water is allowed
11. Thank You, Next …
Concept of Algorithm and Data Structure
February 15, 2021
Andi Nurkholis, S.Kom, M.Kom
Study Program of Informatics
Faculty of Engineering and Computer Science
SY. 2020-2021