The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time.
This course can be taken for academic credit as part of CU Boulder鈥檚 MS in Data Science or MS in Computer Science degrees offered on the 糖心vlog官网观看 platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on 糖心vlog官网观看 are ideal for recent graduates or working professionals. Learn more:
MS in Data Science: /degrees/master-of-science-data-science-boulder
MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Transaction Processing, Continuous Integration, Service Level, Software Design, Data Architecture, Distributed Computing, Microservices, Software Architecture, Blockchain, System Monitoring, Data Structures, Software Engineering, Test Driven Development (TDD), Big Data, Maintainability, Database Systems
Reviews
3.5 (86 ratings)
5 stars
38.37%
4 stars
19.76%
3 stars
16.27%
2 stars
8.13%
1 star
17.44%
FF
Jul 6, 2024
Solid advanced-level course for software architects looking to broaden horizons. The course is challange-based and requires experience with Object Oriented Programming, plus basic experience in Java.
HC
Jul 3, 2024
I'd like the lecture notes to be well-organized, even outside of the lecture itself.
From the lesson
Fundamentals of Software Architecture
In this week you will learn the fundamentals of software architecture. You will learn how to evolve an architecture over time, how to work within a large codebase, and a bit about blockchain.