As more customers connect to our platform, our data grows, our AI models get smarter, and our opportunities expand. IoT Analytics Company of the Year in 2022’s IoT Breakthrough WinnersĮvery year, we partner with our customers to deliver outcomes like conserving millions of gallons of fuel, saving millions of dollars, and creating positive environmental change. As part of a newly public company, you’ll have the autonomy and support to make an impact as we build for the long term. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including video-based safety, vehicle telematics, apps and driver workflows, equipment monitoring, and site visibility. It is recommended to take the course "Software Engineering: Modeling Software Systems using UML" before attempting this course, but it is not a hard requirement.Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which helps to digitize the world of physical operations, providing visibility and empowering entire sectors of our economy to become more safe, efficient, and sustainable. Founded in San Francisco in 2015, we now employ more than 2,000 people globally and collect more than 40 billion minutes of video footage and 5 trillion data points annually. Implementation is driven by the UML models derived from requirement analysis. You will also encounter defensive programming techniques to prevent software bugs during implementation, and learn how to test your system thoroughly using different types of test cases.īasic object-oriented programming (OOP) concepts are required for topics covered in defensive programming and object-oriented testing. This course focuses on the implementation and testing phases of SDLC, and you will examine different software development processes for large software systems development, and understand the strengths (pros) and weaknesses (cons) of different software development processes. Software Development Life Cycle (SDLC) is the process of developing software through planning, requirement analysis, design, implementation, testing, and maintenance. It is recommended to take the courses in the order they are listed, as they progressively develop techniques and concepts about software engineering, but it is not a hard requirement. Basic object-oriented programming (OOP) concepts are required to attempt the course. UML incorporates the current best practices in Object-Oriented modeling techniques. Functional requirements are captured in the use-case model to describe the interactions between the system and its environment (users, other systems). Data requirements are captured in the domain model, which describes the important concepts of the application domain as classes, associations between them and constraints on them. It can be used to highlight different aspects of the system that are of interest to different stakeholders. UML is a general purpose visual modeling language for systems. This course focuses on the requirement analysis phase of SDLC, and you will learn how to use UML models to capture the system requirements and to facilitate communication between client/users and developers. It is recommended to take the courses in the order they are listed, as they progressively develop teachniques and concepts about software engineering, it is not a hard requirement. Basic object-oriented programming (OOP) concepts are required to attempt the series of courses. This specialization is intented for programmers who want to deepen their understanding of the methodologies and techniques involved in software development. It combines scientific and technological knowledge with many hands-on examples and real-life case studies for students to apply software engineering skills in a realistic development environment. This specialization covers software engineering methodologies, techniques, and tools for planning, capturing requirements, designing, implementing, testing, and maintaining large-scale software systems. Software development is not just about coding, it also involves the application of scientific knowledge and well-defined engineering techniques to produce maintainable, scalable, cost-effective and on-schedule software products.
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