Grading

Each student's final grade will be obtained as follows:

Individual written exam: 50%
Laboratory practice: 50%, which will be distributed as follows:

Individual grading: 20%.
Group grading: 30%

During the course the student will have the possibility of taking several optional quizzes that provide 0.5 additional points.

To pass the course it is necessary to obtain a minimum overall score of 5 out of 10 and to meet the following restrictions:

It is necessary to have a minimum of 4.5 out of 10 in the practice, both in the individual part and in the group independently.
It is necessary to have a minimum of 4.5 out of 10 in the objective test.

In the event that any of the above minimums are not met and the final grade calculated as indicated exceeds 4.0, the grade that will appear for the subject will be 4.0.

The group work may require collaborating with students from foreign universities under the COIL: Collaborative Online International Learning program, which will be reflected in the score of the practical part.

Second chance

Students who do not pass the subject may take the objective test in the call for a second chance.

Given the nature of the continuous evaluation of the practice, this part cannot be recovered.

Early opportunity

Students who have passed the practical part in the previous year could take the theoretical exam in the "early opportunity" to pass the subject.

Academic Fraud

The fraudulent completion of tests or assessment activities, once verified, will directly involve the qualification of failure in the call in which it is committed: the student will be qualified with failure (numerical grade 0) in the corresponding call of the academic year, whether the commission of the foul occurs in the first opportunity as in the second. For this, your qualification will be modified in the first opportunity report, if necessary.

Student with recognition of academic dispensation

All aspects related to "academic exemption", "dedication to study", "permanence" and "academic fraud" will be governed in accordance with the current academic regulations of the UDC.

Other considerations

As stated in the different regulations for university teaching, the gender perspective must be incorporated in this subject: non-sexist language will be used, bibliography by authors of both sexes will be used as much as possible, and students will be encouraged to participate in class. ..
Work will be done to identify and modify prejudices and sexist attitudes and influence the environment to modify them and promote values of respect and equality.
Situations of discrimination based on gender must be detected and actions and measures will be proposed to correct them.

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

Topic	Sub-topic
Introduction to the principles of Software Engineering	- Introduction: basic concepts
Software life cycle	- Introduction: concepts and terminology - Life cycle types - Phases of life cycles
Agile approaches	- Introduction: agile approaches - Scrum
Requirements gathering, analysis techniques	- Introduction: software requirements - Specification of requirements
Architecture and component modeling	- Introduction: software models - Modeling techniques - Architecture models - Component models
Software development	- Introduction: software and tools - Software management - Good practices
Principles, processes and activities of software testing	- Introduction: principles of software testing - Unit testing - Integration tests - Acceptance tests

Methodologies / tests	Competencies / Results	Teaching hours (in-person & virtual)	Student’s personal work hours	Total hours
Guest lecture / keynote speech	A2 A3 B2 B6 B8 B9 C3 C6	30	30	60
Laboratory practice	A2 A3 B2 B4 B5 B6 B7 B8 B9 C2 C3 C6	30	48	78
Objective test	A2 A3 B2 B6 B8 B9 C6	2	10	12

Personalized attention		0	0	0

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies	Description
Guest lecture / keynote speech	In the lectures, the professor will present the theoretical knowledge related to the different subjects of the subject
Laboratory practice	The practical classes will be dedicated to carrying out individual and groupal works related to the subject presented in the lectures, through the use of computer tools
Objective test	In the objective test, the theoretical and practical knowledge acquired in the subject will be evaluated

Methodologies	Competencies / Results	Description	Qualification
Laboratory practice	A2 A3 B2 B4 B5 B6 B7 B8 B9 C2 C3 C6	Both the group and individual work of the students will be assessed in the practices. To demonstrate the work done, the students will present documentary evidence both individually and as a group. Both in the documents (individual and group), the following aspects will be assessed: - Technical level. - Completeness, clarity and justifications of the work. - Mastery of acquired knowledge. - Spelling and writing. At an individual level, active participation will also be valued. The group work could require doing a presentation of the work done.	50
Objective test	A2 A3 B2 B6 B8 B9 C6	In this test, mastery of the theoretical and practical knowledge of the subject will be evaluated through an individual exam.	50

Assessment comments
Grading Each student's final grade will be obtained as follows: Individual written exam: 50% Laboratory practice: 50%, which will be distributed as follows: Individual grading: 20%. Group grading: 30% During the course the student will have the possibility of taking several optional quizzes that provide 0.5 additional points. To pass the course it is necessary to obtain a minimum overall score of 5 out of 10 and to meet the following restrictions: It is necessary to have a minimum of 4.5 out of 10 in the practice, both in the individual part and in the group independently. It is necessary to have a minimum of 4.5 out of 10 in the objective test. In the event that any of the above minimums are not met and the final grade calculated as indicated exceeds 4.0, the grade that will appear for the subject will be 4.0. The group work may require collaborating with students from foreign universities under the COIL: Collaborative Online International Learning program, which will be reflected in the score of the practical part. Second chance Students who do not pass the subject may take the objective test in the call for a second chance. Given the nature of the continuous evaluation of the practice, this part cannot be recovered. Early opportunity Students who have passed the practical part in the previous year could take the theoretical exam in the "early opportunity" to pass the subject. Academic Fraud The fraudulent completion of tests or assessment activities, once verified, will directly involve the qualification of failure in the call in which it is committed: the student will be qualified with failure (numerical grade 0) in the corresponding call of the academic year, whether the commission of the foul occurs in the first opportunity as in the second. For this, your qualification will be modified in the first opportunity report, if necessary. Student with recognition of academic dispensation All aspects related to "academic exemption", "dedication to study", "permanence" and "academic fraud" will be governed in accordance with the current academic regulations of the UDC. Other considerations As stated in the different regulations for university teaching, the gender perspective must be incorporated in this subject: non-sexist language will be used, bibliography by authors of both sexes will be used as much as possible, and students will be encouraged to participate in class. .. Work will be done to identify and modify prejudices and sexist attitudes and influence the environment to modify them and promote values of respect and equality. Situations of discrimination based on gender must be detected and actions and measures will be proposed to correct them.

Basic	Eduardo Antonio Moraleda Gil ; Sebastián Rubén Gómez Palomo (2019 (2ª ed)). Aproximación a la Ingeniería del Software. Cerasa Roger S. Pressman (2010 (7ª ed)). Ingeniería del Software: un enfoque práctico. McGraw-Hill Hein Smith (2018). Scrum: The Ultimate Beginner's Guide To Learn And Master Scrum Agile Framework. CreateSpace Independent Publishing Platform

Complementary	Robert C. Martin (2008). Clean Code: A Handbook of Agile Software Craftsmanship. Pearson Henrik Kniberg (2007). Scrum and XP from the Trenches . C4Media Inc Jeff Sutherland and Scrum, Inc. (2014). Scrum: The Art of Doing Twice the Work in Half the Time. Crown Business Chris Riccomini, Dmitriy Ryaboy (2021). The Missing README: A Guide for the New Software Engineer. No Starch Press

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