University of Alberta

This course covers practical techniques to elicit and express software requirements from client interactions. Upon successful completion of this course, you will be able to: Create clear requirements to drive effective software development; visualize client needs using low-fidelity prototypes; maximize the effectiveness of client interactions - adapt to changing [...]

This course covers the techniques required to break down and map requirements into plans that will ultimately drive software production. Upon successful completion of this course, you will be able to: create effective plans for software development; map user requirements to developer tasks; assess and plan for project risks; [...]

This course highlights the importance and role of software product management. It also provides an overview of the specialization, as well as its goals, structure, and expectations. The course explains the value of process, requirements, planning, and monitoring in producing better software. Upon successful completion of this course, you [...]

This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum. Upon successful completion of this course, you will be able to: distinguish between different process models for organizing software production; gauge the [...]

Fake news or good science? In a world where we have access to unlimited information, it is hard to sift through the echo chamber of opinions fueled by emotions and personal biases, rather than scientific evidence. Science Literacy will teach you about the process of science, how to think [...]

In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize [...]

In this course, you will learn about several algorithms that can learn near optimal policies based on trial and error interaction with the environment---learning from the agent’s own experience. Learning from actual experience is striking because it requires no prior knowledge of the environment’s dynamics, yet can still attain [...]

This course is an introduction to computer science and programming in Python. Important computer science concepts such as problem solving (computational thinking), problem decomposition, algorithms, abstraction, and software quality are emphasized throughout. The Python programming language and video games are used to demonstrate computer science concepts in a [...]

Based on an understanding of architectural styles, you will review architectures for web applications, then explore the basics of Service-Oriented Architecture (SOA) in two approaches: Web Services (WS*) and Representational State Transfer (REST) architecture. In the Capstone Project you will connect a Java-based Android application with Elasticsearch, a web [...]

This course extends object-oriented analysis and design by incorporating design patterns to create interactive applications. Through a survey of established design patterns, learners will gain a foundation for more complex software applications. Finally, learners will identify problematic software designs by referencing a catalog of code smells. You will be [...]