Teaching GuideTerm Faculty of Computer Science |
Grao en Intelixencia Artificial |
Subjects |
Software Engineering |
Learning aims |
|
|
|
Identifying Data | 2023/24 | |||||||||||||
Subject | Software Engineering | Code | 614G03009 | |||||||||||
Study programme |
|
|||||||||||||
Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 1st four-month period |
Second | Obligatory | 6 | ||||||||||
|
Learning outcomes | Study programme competences / results | ||
Carry out the process that allows, from the abstraction, to implement high quality code | A2 A3 |
B2 B6 B7 B8 B9 |
C2 C3 C6 |
Acquire skills to solve problems in a methodological and practical way | A2 A3 |
B5 B6 B7 B8 B9 |
C3 C6 |
Establish clearly and unambiguously the client's needs and constraints when developing requirements for a software project | B4 B7 |
C2 C6 |
|
Analyze the alternatives to deal with and identify which aspects can be addressed with AI and which cannot | B2 B4 B7 B9 |
C3 C6 |
|
Understand the principles needed to build complete, scalable, and robust, user-centered solutions where AI components fit together as part of a whole | A2 |
B8 B9 |
C6 |
Be able to identify and understand models and designs of architectures and components to enable effective communication between software and data engineers | B4 |
C2 |
|
Handle testing techniques and tools to ensure the quality of the results | A3 |
B8 B9 |
C6 |
|