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Software Engineering Management Course (5/22/2024)
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Availability
On-Demand
Cost
$0.00
Credit Offered
0.6 CEU Credit
0.6 PDH Credit
Once a software product is delivered, it must evolve – or change – over time. When in actual operations, defects are discovered, operating environments change, and new user requirements emerge. While the Maintenance phase of the life cycle generally begins following a post-implementation period, actual maintenance activates may occur earlier. As such, we can define maintenance as the totality of activities required to provide cost-effective support to software. Given this, maintenance can be performed during the pre-delivery phase as well as later. This course begins with an examination of the fundamentals, including terminology; the nature and need for maintenance; maintenance costs and software evolution. From there, Maintenance proceeds through key issues; the maintenance process; techniques for maintenance and software maintenance tools – all within the context of real-world maintenance challenges.

Format: Asynchronous
Nominal duration: Self-paced Learning – Approximate Time: 6 hours
Professional Development Hours (PDH) : 6
Continuing Education Credits (CEU) : 0.6 
1. Execute a complete requirements negotiation process.
2. Perform a comprehensive feasibility analysis.
3. Lead a software project planning process, to include determining deliverables; effort, schedule and cost estimation; resource allocation; risk management; quality and plan management.
4. Apply the principles and processes of software engineering project enactment.
5. Perform software project reviews and evaluations according to best practices.
6. Illustrate by example software project closure activities.
7. Employ software engineering measurement processes.
8. Utilize software engineering management tools.

Mrinal Karvir

Senior Cloud Software Engineering Manager
Intel Corporation

Mrinal leads Intel® Developer Cloud for the Edge, a platform that provides instant remote access to deploy AI applications on the latest Intel hardware and software platforms. She manages an engineering organization responsible for driving Telemetry, AI Solutions, Security, and Infrastructure functions. She has managed teams that developed innovative solutions in AI and contextual awareness and led the development of the world’s first presence-aware PC experience with Intel® Context Sensing Technology. As an Ethical AI Champion, she provides leadership and clarity on responsible AI practices for her organization.

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Speaker 2 biography

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