Please find more information about the program and fees here:
https://www.theiotacademy.co/applied-data-science-with-python-certification-program
Please complete your registration online here:
http://eict.iitr.ac.in/DS3march2021.html
The document discusses several process models for software development including the waterfall model, prototyping model, spiral model, incremental model, RAD model, and unified process. The waterfall model is a linear sequential model moving down in distinct phases from conception to maintenance. The prototyping model emphasizes early customer feedback through quick building of prototypes. The spiral model combines elements of the waterfall model and prototyping model with each cycle of the spiral representing a single iteration of requirements, design, coding, and testing.
Formulate the right questions, analyse the aim of a technology development, get direct answers from trusted sources, compare it to the patent landscape. Let your engineers think better and dare.
David Thiessen has over 15 years of experience as a software engineer and programmer analyst with expertise in languages like C/C++, Java, C#, Python and tools/frameworks including Git, Eclipse and JUnit. He has worked on projects involving system administration, software development, requirements analysis, testing and documentation. Currently he works as a Software Engineer analyzing and providing technical support for systems software.
Jorge L. Ruballos has over 10 years of experience as a professional engineer with expertise in computer engineering, hardware, and software. He has a Bachelor's degree in Computer Engineering and is proficient in various programming languages and engineering software. He is currently a System Analyst at IES Engineering where he develops automation programs for clients and ensures projects are completed on time.
Joel Zucker is a technical lead and project manager with over 10 years of experience in software development, implementation, and business needs assessment across multiple industries. He has a track record of successfully directing teams through all phases of projects from requirements to development to implementation, on time and under budget. Zucker's experience includes increasing company revenues from $5M to $20M through a client tracking system, coordinating projects with budgets up to $300K, and generating millions in grant funding leading learning technology research.
This document is a resume for Zikai Cai summarizing his education and experience. He received a Master's in Computer Science from USC with a 4.0 GPA and a Bachelor's in Computer Science from USTC in China with a 90.83 GPA in his major. His skills include C, C++, Python, MATLAB, and hardware design tools. For experience, he had internships at Apple in design verification and at the University of Chicago developing machine learning models. He also has research experience developing neural network accelerators and analyzing RISC-V processors. His projects include developing a competitive AI agent and implementing machine learning models.
Please find more information about the program and fees here:
https://www.theiotacademy.co/applied-data-science-with-python-certification-program
Please complete your registration online here:
http://eict.iitr.ac.in/DS3march2021.html
The document discusses several process models for software development including the waterfall model, prototyping model, spiral model, incremental model, RAD model, and unified process. The waterfall model is a linear sequential model moving down in distinct phases from conception to maintenance. The prototyping model emphasizes early customer feedback through quick building of prototypes. The spiral model combines elements of the waterfall model and prototyping model with each cycle of the spiral representing a single iteration of requirements, design, coding, and testing.
Formulate the right questions, analyse the aim of a technology development, get direct answers from trusted sources, compare it to the patent landscape. Let your engineers think better and dare.
David Thiessen has over 15 years of experience as a software engineer and programmer analyst with expertise in languages like C/C++, Java, C#, Python and tools/frameworks including Git, Eclipse and JUnit. He has worked on projects involving system administration, software development, requirements analysis, testing and documentation. Currently he works as a Software Engineer analyzing and providing technical support for systems software.
Jorge L. Ruballos has over 10 years of experience as a professional engineer with expertise in computer engineering, hardware, and software. He has a Bachelor's degree in Computer Engineering and is proficient in various programming languages and engineering software. He is currently a System Analyst at IES Engineering where he develops automation programs for clients and ensures projects are completed on time.
Joel Zucker is a technical lead and project manager with over 10 years of experience in software development, implementation, and business needs assessment across multiple industries. He has a track record of successfully directing teams through all phases of projects from requirements to development to implementation, on time and under budget. Zucker's experience includes increasing company revenues from $5M to $20M through a client tracking system, coordinating projects with budgets up to $300K, and generating millions in grant funding leading learning technology research.
This document is a resume for Zikai Cai summarizing his education and experience. He received a Master's in Computer Science from USC with a 4.0 GPA and a Bachelor's in Computer Science from USTC in China with a 90.83 GPA in his major. His skills include C, C++, Python, MATLAB, and hardware design tools. For experience, he had internships at Apple in design verification and at the University of Chicago developing machine learning models. He also has research experience developing neural network accelerators and analyzing RISC-V processors. His projects include developing a competitive AI agent and implementing machine learning models.
The candidate has a Master's degree in Computer Science from the University of Texas at Arlington with a 4.0 GPA and a Bachelor's degree in Computer Engineering from Dharmsinh Desai University in India with a 3.57 GPA. They have skills in programming languages like Java, C#, Python, and databases like Oracle, SQL Server, and PostgreSQL. They have internship experience developing software projects using technologies like .NET, ASP.NET, and have completed personal projects in sorting algorithms, online pharmacy management, and movie ticket booking systems. Their recent achievements include completing a problem solving badge on Hackerrank and an NPTEL course in cryptography.
1. Bruno Rhafael Fonteles de Lima is seeking new opportunities and has 10 years of experience in software testing, quality analysis, knowledge management, and technical support.
2. He has a Bachelor's Degree in Information Systems from Federal University of Ceara in Brazil and also studied at Stony Brook University.
3. His skills include programming languages like C, C++, Java, and SQL, as well as software testing, project management, and business process modeling.
Ronen R. S. Filho is a Brazilian IT professional seeking a quality assurance role utilizing his experience in team leadership, management, software processes, and web development. He has over 10 years of experience in systems analysis, software development, database administration, and teaching computer science courses. His technical skills include programming languages like PHP, Java, C, and JavaScript as well as SQL, Linux, Windows, WordPress, and software development methodologies.
Rahul Chouksey is seeking an IT position where he can utilize his skills in C, C++, Java SE, Java EE, SQL, PHP, HTML, and CSS. He has a BE in technology from Technocrats Institute of Technology, Bhopal and is pursuing a diploma from Centre for Development of Advance Computing. As a student, he coordinated his college's training and placement cell and various technical events. He completed major trainings in PHP and Java technologies.
Nitin Kashyap is a senior software developer with 4.7 years of experience working at Infosys Limited. He has extensive experience in mainframe technologies like COBOL, JCL, DB2, and tools like ENDEVOR and FILEAID. He is proficient in Big Data technologies like Hadoop, MapReduce, HDFS, Pig, Hive and HBase. Nitin is seeking a challenging role that allows him to apply his skills and knowledge towards organizational objectives. He has successfully led several projects for clients in domains like healthcare and government.
The document summarizes a data science bootcamp info session held by Thinkful in June 2017. It provides an overview of the current data science job market landscape, Thinkful's online mentorship-based program, curriculum focused on Python and projects, and career support services. The session also discusses the rise of data science as a field and bootcamps, transparency in reporting outcomes, and offers a prep course to try out Thinkful's model.
This document discusses the need for standardized testing in information technology skills across industries and education. It identifies mismatches between the supply and demand of IT workers and a need to improve the competitiveness of the IT sector through quality assurance in tertiary education. The document outlines five levels of foundational knowledge and skills in areas like software development, database operation, networking, security, IT business understanding, and project management.
Gaurav Gaur is seeking a co-op position from August 2017 to August 2018 in software development to further develop his technical skills. He has a Master's in Computer Science from Rochester Institute of Technology with a GPA of 3.11/4 and a Bachelor's in Information Technology from S.G.S.I.T. Sindore with a GPA of 7.02/10. He has skills in Java, HTML, MySQL, SQL Server, Android basics, C, OOPS, and Python from coursework and previous experience as a Programmer Analyst at Cognizant Technology Solutions.
Pallav Gupta is a software engineer with skills in Java, Python, Hadoop, Spark, machine learning and data modeling. He has work experience as a business intelligence intern at Capgemini where he performed market research and data analysis. He is also experienced in web and Android development, having interned at Indian Oil Corporation and CSimplifyIT Solutions. Pallav holds a Bachelor's degree in Computer Science and has completed online courses in big data, NLP, cloud computing and deep learning. He is looking to contribute to a team through hard work and technical skills.
Building a Computer Science Pathway for EndorsementsWeTeach_CS
A presentation by Hal Speed of TACSE and Carol Fletcher of the University of Texas Center for STEM Education at the T-STEM meeting in January 2016. A presentation on multiple pathways for offering Computer Science endorsements in Texas high schools.
Building a Computer Science Pathway for EndorsementsHal Speed
This document provides information on building a computer science pathway for high school endorsements in Texas. It discusses trends in digital jobs, computer science courses, and professional development opportunities for teachers. The document outlines potential pathways using both Career and Technical Education (CTE) and Technology Applications (TA) courses to satisfy computer science requirements for high school graduation and endorsements. It also shares data on current computer science course enrollment and teachers in Texas.
The document provides a summary of qualifications and experience for Glitter Doshi. It outlines over 8 years of experience in embedded software development and project management. Currently, Glitter Doshi works at Motorola Solutions as a project manager and has led teams of up to 14 people. Responsibilities there include managing agile software development processes and delivering several successful product releases.
Almitra Dabholkar is a student at UC Berkeley studying computer science. She is fascinated by the intersection of humans and computers and passionate about solving problems in this area. She has skills in various programming languages including Python, Java, JavaScript, and SQL. She has received several awards for her work including being named a Rewriting the Code Fellow and a National AP Scholar. She has worked on projects including a web application for parties and a Scheme interpreter, and has interned at Facebook and assisted instructors at UC Berkeley.
Study of Software Defect Prediction using Forward Pass RNN with Hyperbolic Ta...ijtsrd
For the IT sector and software specialists, software failure prediction and proneness have long been seen as crucial issues. Conventional methods need prior knowledge of errors or malfunctioning modules in order to identify software flaws inside an application. By using machine learning approaches, automated software fault recovery models allow the program to substantially forecast and recover from software problems. This feature helps the program operate more efficiently and lowers errors, time, and expense. Using machine learning methods, a software fault prediction development model was presented, which might allow the program to continue working on its intended mission. Additionally, we assessed the models performance using a variety of optimization assessment benchmarks, including accuracy, f1 measure, precision, recall, and specificity. Convolutional neural networks and its hyperbolic tangent functions are the basis of the deep learning prediction model FPRNN HTF Forward Pass RNN with Hyperbolic Tangent Function technique. The assessment procedure demonstrated the high accuracy rate and effective application of CNN algorithms. Moreover, a comparative measure is used to evaluate the suggested prediction model against other methodologies. The gathered data demonstrated the superior performance of the FPRNN HTF technique. Swati Rai | Dr. Kirti Jain "Study of Software Defect Prediction using Forward Pass RNN with Hyperbolic Tangent Function" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60159.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/60159/study-of-software-defect-prediction-using-forward-pass-rnn-with-hyperbolic-tangent-function/swati-rai
This document contains the resume of Nishant Paliwal. It summarizes his objective to secure a position as a software developer, along with his profile highlighting technical, communication, and presentation skills. It also lists his educational qualifications including a B.Tech in Computer Science Engineering from Jaypee Institute of Information Technology with a CGPA of 7.4/10 and projects involving automation of a Hadoop cluster and development of an Android and online coding platform application.
Texas.gov - Using Hackathons to Work Together Towards a Common GoalTexas.gov
A hackathon is defined as an event in which computer programmers and others involved in software development collaborate intensively on software projects. Hackathons are also about bringing people together for a common cause or goal. At Texas.gov, we embraced the spirit of collaboration, innovation, ingenuity, and agility by recently hosting our first hackathon. In addition to producing viable solutions, our hackathon generated team pride, enhanced core technical and soft skills, identified key success factors, and modeled a lean delivery approach. This presentation will showcase exactly how Texas.gov hosted our hackathon, what the outcomes and lessons learned were, and how we benefited from the experience.
Shashwat Vidhu Sher is seeking a job as a software developer or quality engineer. He has 4 years of experience working for SAP Labs as both a software developer and quality engineer. He is currently pursuing an MS in Computer Science from the University of Arizona with a GPA of 3.87 and is expected to graduate in May 2016. He has extensive experience with programming languages like ABAP, C, C++, and Java and tools like SAP BO, SAP HANA, Tableau, and Qlik. He has worked on projects involving business analytics, algorithm development, quality assurance, and database implementation.
Badula Revathi is seeking a summer internship in data science with a focus on data analysis and big data. She has a Master's degree in Computer Science and relevant coursework including machine learning, data mining, and databases. Her technical skills include programming languages like R, Python, SQL, and tools like Tableau and MongoDB. Her past work experience includes database process analysis and she has done relevant project work involving semi-structured data processing using Apache Pig and Hadoop and developing a football wiki using MySQL and PHP. She is also certified in data mining and SAS.
Reinforcing Diversity Company Policies: Insights from StackOverflow Developer...Karina Kohl
This document summarizes insights from the StackOverflow Developers Survey regarding diversity in software engineering. It finds that:
1) When assessing job opportunities, diversity is not a top priority for most developers but is more important to non-binary/transgender individuals. Culture and work-life balance are generally more important.
2) Women prefer more specialized technical roles in the future while men prefer being founders/co-founders. Non-binary and transgender individuals have higher doubts about their programming skills compared to men.
3) To attract and retain diverse talent, companies should focus on both diversity and an inclusive culture. They should provide skills development for women and address potential unconscious biases. Stereotypes may influence women and
The “algorithm” is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists “should all die and burn in hell”, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups?
Yates (Communication of ACM, June 2018) said that “any remedy for bias must start with awareness that bias exists.” Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey & Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution.
How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms.
Contenu connexe
Similaire à A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies
The candidate has a Master's degree in Computer Science from the University of Texas at Arlington with a 4.0 GPA and a Bachelor's degree in Computer Engineering from Dharmsinh Desai University in India with a 3.57 GPA. They have skills in programming languages like Java, C#, Python, and databases like Oracle, SQL Server, and PostgreSQL. They have internship experience developing software projects using technologies like .NET, ASP.NET, and have completed personal projects in sorting algorithms, online pharmacy management, and movie ticket booking systems. Their recent achievements include completing a problem solving badge on Hackerrank and an NPTEL course in cryptography.
1. Bruno Rhafael Fonteles de Lima is seeking new opportunities and has 10 years of experience in software testing, quality analysis, knowledge management, and technical support.
2. He has a Bachelor's Degree in Information Systems from Federal University of Ceara in Brazil and also studied at Stony Brook University.
3. His skills include programming languages like C, C++, Java, and SQL, as well as software testing, project management, and business process modeling.
Ronen R. S. Filho is a Brazilian IT professional seeking a quality assurance role utilizing his experience in team leadership, management, software processes, and web development. He has over 10 years of experience in systems analysis, software development, database administration, and teaching computer science courses. His technical skills include programming languages like PHP, Java, C, and JavaScript as well as SQL, Linux, Windows, WordPress, and software development methodologies.
Rahul Chouksey is seeking an IT position where he can utilize his skills in C, C++, Java SE, Java EE, SQL, PHP, HTML, and CSS. He has a BE in technology from Technocrats Institute of Technology, Bhopal and is pursuing a diploma from Centre for Development of Advance Computing. As a student, he coordinated his college's training and placement cell and various technical events. He completed major trainings in PHP and Java technologies.
Nitin Kashyap is a senior software developer with 4.7 years of experience working at Infosys Limited. He has extensive experience in mainframe technologies like COBOL, JCL, DB2, and tools like ENDEVOR and FILEAID. He is proficient in Big Data technologies like Hadoop, MapReduce, HDFS, Pig, Hive and HBase. Nitin is seeking a challenging role that allows him to apply his skills and knowledge towards organizational objectives. He has successfully led several projects for clients in domains like healthcare and government.
The document summarizes a data science bootcamp info session held by Thinkful in June 2017. It provides an overview of the current data science job market landscape, Thinkful's online mentorship-based program, curriculum focused on Python and projects, and career support services. The session also discusses the rise of data science as a field and bootcamps, transparency in reporting outcomes, and offers a prep course to try out Thinkful's model.
This document discusses the need for standardized testing in information technology skills across industries and education. It identifies mismatches between the supply and demand of IT workers and a need to improve the competitiveness of the IT sector through quality assurance in tertiary education. The document outlines five levels of foundational knowledge and skills in areas like software development, database operation, networking, security, IT business understanding, and project management.
Gaurav Gaur is seeking a co-op position from August 2017 to August 2018 in software development to further develop his technical skills. He has a Master's in Computer Science from Rochester Institute of Technology with a GPA of 3.11/4 and a Bachelor's in Information Technology from S.G.S.I.T. Sindore with a GPA of 7.02/10. He has skills in Java, HTML, MySQL, SQL Server, Android basics, C, OOPS, and Python from coursework and previous experience as a Programmer Analyst at Cognizant Technology Solutions.
Pallav Gupta is a software engineer with skills in Java, Python, Hadoop, Spark, machine learning and data modeling. He has work experience as a business intelligence intern at Capgemini where he performed market research and data analysis. He is also experienced in web and Android development, having interned at Indian Oil Corporation and CSimplifyIT Solutions. Pallav holds a Bachelor's degree in Computer Science and has completed online courses in big data, NLP, cloud computing and deep learning. He is looking to contribute to a team through hard work and technical skills.
Building a Computer Science Pathway for EndorsementsWeTeach_CS
A presentation by Hal Speed of TACSE and Carol Fletcher of the University of Texas Center for STEM Education at the T-STEM meeting in January 2016. A presentation on multiple pathways for offering Computer Science endorsements in Texas high schools.
Building a Computer Science Pathway for EndorsementsHal Speed
This document provides information on building a computer science pathway for high school endorsements in Texas. It discusses trends in digital jobs, computer science courses, and professional development opportunities for teachers. The document outlines potential pathways using both Career and Technical Education (CTE) and Technology Applications (TA) courses to satisfy computer science requirements for high school graduation and endorsements. It also shares data on current computer science course enrollment and teachers in Texas.
The document provides a summary of qualifications and experience for Glitter Doshi. It outlines over 8 years of experience in embedded software development and project management. Currently, Glitter Doshi works at Motorola Solutions as a project manager and has led teams of up to 14 people. Responsibilities there include managing agile software development processes and delivering several successful product releases.
Almitra Dabholkar is a student at UC Berkeley studying computer science. She is fascinated by the intersection of humans and computers and passionate about solving problems in this area. She has skills in various programming languages including Python, Java, JavaScript, and SQL. She has received several awards for her work including being named a Rewriting the Code Fellow and a National AP Scholar. She has worked on projects including a web application for parties and a Scheme interpreter, and has interned at Facebook and assisted instructors at UC Berkeley.
Study of Software Defect Prediction using Forward Pass RNN with Hyperbolic Ta...ijtsrd
For the IT sector and software specialists, software failure prediction and proneness have long been seen as crucial issues. Conventional methods need prior knowledge of errors or malfunctioning modules in order to identify software flaws inside an application. By using machine learning approaches, automated software fault recovery models allow the program to substantially forecast and recover from software problems. This feature helps the program operate more efficiently and lowers errors, time, and expense. Using machine learning methods, a software fault prediction development model was presented, which might allow the program to continue working on its intended mission. Additionally, we assessed the models performance using a variety of optimization assessment benchmarks, including accuracy, f1 measure, precision, recall, and specificity. Convolutional neural networks and its hyperbolic tangent functions are the basis of the deep learning prediction model FPRNN HTF Forward Pass RNN with Hyperbolic Tangent Function technique. The assessment procedure demonstrated the high accuracy rate and effective application of CNN algorithms. Moreover, a comparative measure is used to evaluate the suggested prediction model against other methodologies. The gathered data demonstrated the superior performance of the FPRNN HTF technique. Swati Rai | Dr. Kirti Jain "Study of Software Defect Prediction using Forward Pass RNN with Hyperbolic Tangent Function" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd60159.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/60159/study-of-software-defect-prediction-using-forward-pass-rnn-with-hyperbolic-tangent-function/swati-rai
This document contains the resume of Nishant Paliwal. It summarizes his objective to secure a position as a software developer, along with his profile highlighting technical, communication, and presentation skills. It also lists his educational qualifications including a B.Tech in Computer Science Engineering from Jaypee Institute of Information Technology with a CGPA of 7.4/10 and projects involving automation of a Hadoop cluster and development of an Android and online coding platform application.
Texas.gov - Using Hackathons to Work Together Towards a Common GoalTexas.gov
A hackathon is defined as an event in which computer programmers and others involved in software development collaborate intensively on software projects. Hackathons are also about bringing people together for a common cause or goal. At Texas.gov, we embraced the spirit of collaboration, innovation, ingenuity, and agility by recently hosting our first hackathon. In addition to producing viable solutions, our hackathon generated team pride, enhanced core technical and soft skills, identified key success factors, and modeled a lean delivery approach. This presentation will showcase exactly how Texas.gov hosted our hackathon, what the outcomes and lessons learned were, and how we benefited from the experience.
Shashwat Vidhu Sher is seeking a job as a software developer or quality engineer. He has 4 years of experience working for SAP Labs as both a software developer and quality engineer. He is currently pursuing an MS in Computer Science from the University of Arizona with a GPA of 3.87 and is expected to graduate in May 2016. He has extensive experience with programming languages like ABAP, C, C++, and Java and tools like SAP BO, SAP HANA, Tableau, and Qlik. He has worked on projects involving business analytics, algorithm development, quality assurance, and database implementation.
Badula Revathi is seeking a summer internship in data science with a focus on data analysis and big data. She has a Master's degree in Computer Science and relevant coursework including machine learning, data mining, and databases. Her technical skills include programming languages like R, Python, SQL, and tools like Tableau and MongoDB. Her past work experience includes database process analysis and she has done relevant project work involving semi-structured data processing using Apache Pig and Hadoop and developing a football wiki using MySQL and PHP. She is also certified in data mining and SAS.
Similaire à A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies (20)
Reinforcing Diversity Company Policies: Insights from StackOverflow Developer...Karina Kohl
This document summarizes insights from the StackOverflow Developers Survey regarding diversity in software engineering. It finds that:
1) When assessing job opportunities, diversity is not a top priority for most developers but is more important to non-binary/transgender individuals. Culture and work-life balance are generally more important.
2) Women prefer more specialized technical roles in the future while men prefer being founders/co-founders. Non-binary and transgender individuals have higher doubts about their programming skills compared to men.
3) To attract and retain diverse talent, companies should focus on both diversity and an inclusive culture. They should provide skills development for women and address potential unconscious biases. Stereotypes may influence women and
The “algorithm” is now an entity. It is a subject that society is talking a lot lately. In 2015, a photo app automatically tagged two Afro-American friends as gorillas. In 2016, a bot called Tay learned to be racist, Holocaust denier and that feminists “should all die and burn in hell”, in 12 hours. In less than 24 hours, it was shut down. There is unpredictability of machine learning algorithms when confronted with real people. How much bias machine learning algorithms can introduce? How much came from the data used to train the algorithms and how much came from the algorithm itself? How to create products based on machine learning avoiding gender, race, age or culture bias and others and avoiding doing harm to those groups?
Yates (Communication of ACM, June 2018) said that “any remedy for bias must start with awareness that bias exists.” Page (The Difference, 2007) proposed that identity diversity (our gender, race, religion, etc.) leads to cognitive diversity (the way we think and solve problems), mainly in tasks as prediction and problem-solving. A study made by McKinsey & Company in 2014 says that diversity fosters innovation and increase financial results. So, workplace diversity can help in different ways, including to detect and reduce bias in algorithms design and execution.
How much agile teams, from the beginning of software development chain, can help to minimize bias and reduce backslash to the end user? What is the role of agile when teams are built to work in a machine learning world? Agile Manifesto values individuals and interactions over processes and tools. Agile teams are built on that. Recently, Modern Agile also set two of four values based on people: make people awesome and make safety a prerequisite. Not as a causality, but, maybe, as a correlation, agile values are good evidence that we can have development environments that better support diversity. Once we have more diverse teams, we can expect better outputs (less biased) from machine learning algorithms.
O documento fornece dicas para produtos owners sobre como maximizar o valor do trabalho do time, criar a visão do produto junto com o time, e gerenciar o backlog, user stories e as cerimônias do Scrum. Também discute habilidades estratégicas, táticas e de liderança importantes para produtos owners, como estratégia de produto, priorização, comunicação, tomada de decisão e gestão de stakeholders.
Comunicacao efetiva em Times Ágeis - TDC POA 2017Karina Kohl
O documento discute a importância da comunicação efetiva, especialmente entre líderes e equipes de desenvolvimento. Apresenta estratégias como perguntas de precisão para entender melhor as perspectivas dos outros e evitar distorções. Também destaca que a comunicação não-verbal é fundamental, com a postura e tom de voz influenciando muito a mensagem e sua recepção.
A apresentação fala um pouco sobre estratégias efetivas de comunicação para times ágeis e também explica os porquês, baseado em linguagem verbal e não-verbal.
Aprensentação fala um pouco sobre as estratégias mais efetivas de comunicação em times ágeis e os porquês das efetividades falando sobre linguagem verbal e não-verbal.
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A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Candidate young stellar objects in the S-cluster: Kinematic analysis of a sub...Sérgio Sacani
Context. The observation of several L-band emission sources in the S cluster has led to a rich discussion of their nature. However, a definitive answer to the classification of the dusty objects requires an explanation for the detection of compact Doppler-shifted Brγ emission. The ionized hydrogen in combination with the observation of mid-infrared L-band continuum emission suggests that most of these sources are embedded in a dusty envelope. These embedded sources are part of the S-cluster, and their relationship to the S-stars is still under debate. To date, the question of the origin of these two populations has been vague, although all explanations favor migration processes for the individual cluster members. Aims. This work revisits the S-cluster and its dusty members orbiting the supermassive black hole SgrA* on bound Keplerian orbits from a kinematic perspective. The aim is to explore the Keplerian parameters for patterns that might imply a nonrandom distribution of the sample. Additionally, various analytical aspects are considered to address the nature of the dusty sources. Methods. Based on the photometric analysis, we estimated the individual H−K and K−L colors for the source sample and compared the results to known cluster members. The classification revealed a noticeable contrast between the S-stars and the dusty sources. To fit the flux-density distribution, we utilized the radiative transfer code HYPERION and implemented a young stellar object Class I model. We obtained the position angle from the Keplerian fit results; additionally, we analyzed the distribution of the inclinations and the longitudes of the ascending node. Results. The colors of the dusty sources suggest a stellar nature consistent with the spectral energy distribution in the near and midinfrared domains. Furthermore, the evaporation timescales of dusty and gaseous clumps in the vicinity of SgrA* are much shorter ( 2yr) than the epochs covered by the observations (≈15yr). In addition to the strong evidence for the stellar classification of the D-sources, we also find a clear disk-like pattern following the arrangements of S-stars proposed in the literature. Furthermore, we find a global intrinsic inclination for all dusty sources of 60 ± 20◦, implying a common formation process. Conclusions. The pattern of the dusty sources manifested in the distribution of the position angles, inclinations, and longitudes of the ascending node strongly suggests two different scenarios: the main-sequence stars and the dusty stellar S-cluster sources share a common formation history or migrated with a similar formation channel in the vicinity of SgrA*. Alternatively, the gravitational influence of SgrA* in combination with a massive perturber, such as a putative intermediate mass black hole in the IRS 13 cluster, forces the dusty objects and S-stars to follow a particular orbital arrangement. Key words. stars: black holes– stars: formation– Galaxy: center– galaxies: star formation
PPT on Alternate Wetting and Drying presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
BIRDS DIVERSITY OF SOOTEA BISWANATH ASSAM.ppt.pptxgoluk9330
Ahota Beel, nestled in Sootea Biswanath Assam , is celebrated for its extraordinary diversity of bird species. This wetland sanctuary supports a myriad of avian residents and migrants alike. Visitors can admire the elegant flights of migratory species such as the Northern Pintail and Eurasian Wigeon, alongside resident birds including the Asian Openbill and Pheasant-tailed Jacana. With its tranquil scenery and varied habitats, Ahota Beel offers a perfect haven for birdwatchers to appreciate and study the vibrant birdlife that thrives in this natural refuge.
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
A Systematic Mapping Study of Diversity in Software Engineering: A Perspective from the Agile Methodologies
1. Karina Kohl Silveira, Rafael Prikladnicki
School of Technology, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil
karina.kohl@edu.pucrs.br, rafael.prikladnicki@pucrs.br
ACKNOWLEDGMENT
Estetrabalho foiparcialmente financiado pelaFAPERGS,
atravsdo projeto17/2551-0001/205-4.Thisproject ispartially
fundedbyFAPERGS,project17/2551-0001/205-4.
ASystematicMappingStudyofDiversityin
SoftwareEngineering: APerspectivefromthe
AgileMethodologies
12TH INTERNATIONAL WORKSHOP ON COOPERATIVE AND HUMAN ASPECTS OF SOFTWARE ENGINEERING
RESEARCH QUESTIONS
RQ.1. WhatisreportedinSoftware
EngineeringliteratureaboutDiversity?
RQ.2. WhatisreportedinSoftware
EngineeringliteratureaboutDiversityin
AgileMethodologies?
RQ.1
AllthepapersprovideanswerstotheRQ.1 butindifferent
topicsregarding SoftwareEngineering:
• Global Software development/Global Software
Engineering (GSD/GSE):31publications
• Education: 65publications
• CSCW (OSS/Social): 37publications
• Other (Human-Computer Interaction, Teams
Management, Quality, Research): 99publications
Sometopicsmayoverlap,andbesidesthemixedcontent
under”Other”categories,thetopicthatis highlyinterestedin
diversityisEducation
RQ.2
TwelvepapersanswerRQ.2andmostofthemapproach
diversityintermsofgender(specifically, women).Papermay
overlapsubjects:
• Studies thatrelategender diversity and agile
methodologies: 7publications
• LGBTQI(lesbian,gay,bisexual, transgender, queer,
intersex):1publication
• Scrum framework asanenabler to have more efficient,
diverse teams:3 publications]
• HowAgile Methodologies can support better
performances in teams and how agile values can help
to create psychological safety:4publications
• Pair programming:3publications
IDENTITY AND
COGNITIVE
DIVERSITY
Cognitive Diversityasthe
differencesinhowweinterpret,
reasonandsolve,howwethink.
Identity Diversity isdetermined
byaffiliationwithasocial group as
gender,culture,ethnicity,
religion,sexualorientation, etc.
Cognitive diversityislinkedto
better outcomes,andstudies
showthatcognitivediversityis
influencedbyidentitydiversity
(e.g.,gender,race,
etc.)[Page,2007]
SEARCH STRING
(”Software engineer” OR ”Software engineers” OR ”Software
Engineering” OR ”software development” OR ”software
developer”) AND (diversity OR gender OR LGBTQ OR race
OR ethnicity OR ”heterogeneous team”)
# PAPERS ABOUT IDENTITY AND
COGNITIVE DIVERSITY