Software is quickly becoming integral part of human life as we see more and more automation and technical advancements. Just like we expect car to work all the time and can't afford to break or reboot unexpectedly, software industry needs to continue to learn better way to build software if it were to become integral part of human life.
Software Development Processes and Methodologies
This course is part of Software Development Lifecycle Specialization
Instructors: Praveen Mittal
Sponsored by EdgePoint Software
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(2,025 reviews)
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There are 4 modules in this course
In this module and next one, we will learn about various software development processes at a high level to understand what is involved in each of these processes. In this module, we will cover Requirements and Architecture.
What's included
11 videos1 reading9 assignments
In this module, we will learn about processes that are used to implement the software, verify and validate the software, deploy the software and maintain the software.
What's included
12 videos10 assignments
In this module we will learn about various traditional models like waterfall, RUP, Incremental, and Spiral models.
What's included
9 videos4 assignments1 peer review
In this module, we will learn about agile and modern techniques of software development. We will also learn about techniques that helps you learn faster about your market, your users, and your product.
What's included
9 videos2 readings3 assignments1 peer review
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Reviewed on Sep 6, 2020
The course has theory and instructors well explained the concept. But if Kevin Sir made his discussion more picturesque Learning in the Course will be easy for Anyone.
Reviewed on Sep 21, 2020
Very good course, I enjoyed it. I am experienced in S/W Engineering and the concepts and details solidified what I know and how I operate in my day-to-day job.
Reviewed on Apr 17, 2020
Very nice course that provides good insight on software development practices and common problems. It provides also some insights on project management, highlighting pros and cons of different models.
Recommended if you're interested in Computer Science
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