Identifying Data 2022/23
Subject (*) Data Engineering Project Management Code 614G02024
Study programme
Grao en Ciencia e Enxeñaría de Datos
Descriptors Cycle Period Year Type Credits
Graduate 1st four-month period
Third Obligatory 6
Language
Spanish
Galician
Teaching method Face-to-face
Prerequisites
Department Ciencias da Computación e Tecnoloxías da Información
Coordinador
Rodríguez Castiñeira, Hadriana
E-mail
hadriana.rodriguez@udc.es
Lecturers
Rodríguez Castiñeira, Hadriana
E-mail
hadriana.rodriguez@udc.es
Web
General description Este curso aborda aspectos moi relevantes para calquera graduado en enxeñaría de datos: planificación e seguimento de proxectos. Explícanse as metodoloxías de xestión de proxectos preditivos e orientadas ao cambio e as áreas relacionadas coa xestión de alcance, xestión de riscos e xestión de partes interesadas.

Study programme competencies
Code Study programme competences
A16 CE16 - Capacidade para concibir, planificar, xestionar riscos, despregar e dirixir proxectos en enxeñaría de datos, liderando a súa posta en marcha e a súa mellora continua e valorando a súa calidade e impacto económico.
B2 CB2 - Que os estudantes saiban aplicar os seus coñecementos ao seu traballo ou vocación dunha forma profesional e posúan as competencias que adoitan demostrarse por medio da elaboración e defensa de argumentos e a resolución de problemas dentro da súa área de estudo
B3 CB3 - Que os estudantes teñan a capacidade de reunir e interpretar datos relevantes (normalmente dentro da súa área de estudo) para emitir xuízos que inclúan unha reflexión sobre temas relevantes de índole social, científica ou ética
B4 CB4 - Que os estudantes poidan transmitir información, ideas, problemas e solucións a un público tanto especializado como non especializado
B7 CG2 - Elaborar adecuadamente e con certa orixinalidade composicións escritas ou argumentos motivados, redactar plans, proxectos de traballo, artigos científicos e formular hipóteses razoables.
B8 CG3 - Ser capaz de manter e estender formulacións teóricas fundadas para permitir a introdución e explotación de tecnoloxías novas e avanzadas no campo.
B9 CG4 - Capacidade para abordar con éxito todas as etapas dun proxecto de datos: exploración previa dos datos, preprocesado, análise, visualización e comunicación de resultados.
B10 CG5 - Ser capaz de traballar en equipo, especialmente de carácter multidisciplinar, e ser hábiles na xestión do tempo, persoas e toma de decisións.
C1 CT1 - Utilizar as ferramentas básicas das tecnoloxías da información e as comunicacións (TIC) necesarias para o exercicio da súa profesión e para a aprendizaxe ao longo da súa vida.
C3 CT3 - Capacidade de xestionar tempos e recursos: desenvolver plans, priorizar actividades, identificar as críticas, establecer prazos e cumprilos.
C4 CT4 - Valorar a importancia que ten a investigación, a innovación e o desenvolvemento tecnolóxico no avance socioeconómico e cultural da sociedade.

Learning aims
Learning outcomes Study programme competences
Saber planificar un proxecto, a xestión dos seus recursos e os seus riscos, así como o seu seguimento. A16
B2
B3
B4
B7
B8
B9
B10
C1
C3
C4
Coñecer técnicas de modelización e optimización de proxectos, determinación do camiño crítico, nivelación e asignación de recursos. A16
B2
B3
B4
B8
B9
B10
C1
C3
C4
Saber utilizar ferramentas de apoio á planificación e xestión de proxectos. B2
B3
B7
B9
B10
C1
C3
C4
Aprender técnicas de negociación e comunicación interpersoal eficaces. B2
B3
B4
B7
B8
B9
B10
C1
C3
C4

Contents
Topic Sub-topic
Methodologies of management of projects TIC stop the science and the engineering of data Defición de Proxecto.
Definición e competencias do Xefe de Proxecto.
Metodología Predictivas o en cascada (Waterfall).
Metodología orientaba al cambio o adaptativa.
Management of projects of engineering of data Estimación
Planificación
Seguimento
Peche
Management of risks and opportunities associated Identificación de riscos e oportunidades
Cuantificación de riscos e oportunidades
Análise de riscos e oportunidades
Seguimento e control de riscos/oportunidades
Management of the configuration of the software Elementos de configuración de software (ECS)
Liñas de base
Configuracións
Contornos de desenvolvemento
Management of the Quality A calidade como función organizativa
Control de calidade
Garantía de calidade
Modelos de calidade
Management of parts interested Xestión de partes interesadas

Planning
Methodologies / tests Competencies Ordinary class hours Student’s personal work hours Total hours
Laboratory practice B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 20 20 40
Objective test A16 B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 2 10 12
Supervised projects A16 B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 8 16 24
Oral presentation A16 B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 2 12 14
Guest lecture / keynote speech A16 B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 30 30 60
 
Personalized attention 0 0
 
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies Description
Laboratory practice As clases prácticas estarán dedicadas á realización de prácticas e exercicios relacionados co programa exposto a través do método da clase, utilizando ferramentas de soporte informático.
Objective test Exame escrito para avaliar os coñecementos teóricos e prácticos adquiridos ao longo do curso.
Supervised projects O traballo en grupo ou autónomo e supervisado permite aos estudantes poñer en práctica os coñecementos adquiridos ao longo do curso.
O traballo autónomo permite fundamentalmente aos estudantes o desenvolvemento detallado de prácticas e coñecemento e xestión das mencionadas ferramentas de soporte informático.
Oral presentation A práctica de planificación e seguimento de proxectos presentarase e defenderase diante do profesor e dos alumnos mediante unha exposición oral dos mesmos.
Guest lecture / keynote speech O método da charla empregarase para presentar os coñecementos teóricos relacionados cos diferentes temas.

Personalized attention
Methodologies
Supervised projects
Laboratory practice
Description
The method of exhibition maxistral will combine with the practical computings, in the that conxurará the autonomous work and in a group titorizado.

The method of the talk will employ to present the theoretical knowledges related with the different subjects.

The practical kinds will be devoted to the realization of practices and exercises related with the plan exposed through the method of the kind, using tools of bear informático.

The work in autonomous group and supervised allows to the students put in practice the knowledges purchased along the course.

The practice of planning and tracking of projects will present and will defend in front of the professor and of the students by means of an oral exhibition of the same. The individual part of the practice of planning and tracking of projects will present by writing.

It Will promote the participation of the students in all moment.

Assessment
Methodologies Competencies Description Qualification
Objective test A16 B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 Dominio de los conocimientos teóricos y prácticos de la materia a través de un examen escrito individual. 60
Laboratory practice B2 B3 B4 B7 B8 B9 B10 C1 C3 C4 Se valorará:
- Nivel técnico de la práctica.
- Completitud, claridad y justificaciones de la práctica.
- Dominio de los conocimientos adquiridos.
- Participación activa en la práctica.
40
 
Assessment comments

The objective of the evaluation is to verify that the students possess the necessary fundamental competences and it will be carried out at several different moments in time:

During the project planning and monitoring practice, by means of objective tests in which the mastery of the knowledge put into practice up to that moment and its presentation and final defense will be evaluated.

At the end of the course, through an individual written exam.

Punctuation

The final mark of each student will be obtained as indicated below, to which the mark obtained by optional practices will be added linearly (up to 1 point):

Individual written exam: 60%

Project planning and monitoring practice: 25%.

Project planning and monitoring practice (individual): 15%.

Optional supervised work: up to 1 point

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

It is necessary to have a minimum of 4.5 points out of 10 in the practice of project planning and monitoring.

It is necessary to have a minimum of 4.5 points out of 10 in the project planning and monitoring practice (individual).

It is necessary to have a minimum of 4.5 points out of 10 in the individual written exam.

In the event that some minimum of the above is not met and the final grade calculated as indicated exceeds 4.0, the grade that will appear for the subject will be 4.0.

Aspects to consider

Practical part:

The groups of students to carry out the practices will be formed under the guidelines of the teachers.

The exhibition and defense of the project planning and monitoring practice will be public during the course's official timetable and all students who have said timetable must attend these acts, and they may ask questions, comments or suggestions. In this act, time will be assigned for the members of the group to speak and another time for questions, criticism, comments and/or suggestions from the teacher and the rest of the students.

In the evaluation of the project planning and monitoring practice, the technical level of the work and its completeness, clarity and exposition will be assessed.

Initially, the mark assigned to the project planning and monitoring practice will be the one received by all the members of the group that defend it, without prejudice to modifications based on the individual active participation of each one.

In the evaluation of individual project planning and monitoring practices, the ability to model a conflict situation in a project and resolve it, using the recommended software, as well as adequately interpret said solution, will be assessed.

Spelling deficiencies of punctuation and accentuation, as well as disjointed or inadequate writing, poor presentation, excessive number of crossing out, etc. will be especially taken into account, both in exams and in assignments. All this will mean a reduction in points on the grade obtained.

In the event that the teaching staff detects fraudulent performance (plagiarism) in the assessment tests, the grade will be adjusted to the provisions of article 14.4. Norms of evaluation, revision and claim of the qualifications of the university degree and master's studies: "In the accomplishment of works, plagiarism and the use of non-original material, including that obtained through the internet without express indication of its origin and , if applicable, the author's permission, may be considered cause for qualification of failure in the activity. All this without prejudice to the disciplinary responsibilities that may arise after the corresponding procedure".

In this matter, if the teacher detects plagiarism in any of the tests, it will mean a 0 in the grade. In case of repetition, it will be transferred to the Academic Commission for taking appropriate measures.

Special emphasis will be placed on caring for the environment in favor of a sustainable education and society. The works will be sent exclusively electronically, and if this is not possible, plastics will not be used in the printed documents, double-sided printing and recycled paper will be chosen, avoiding printing drafts.

A sustainable use of resources and the prevention of negative impacts on the natural environment must be made. The importance of ethical principles related to the values ??of sustainability in personal and professional behavior must be taken into account. To this end, whenever possible in the preparation of the works, recycling material will be used and the use of plastic materials in the delivery of the same will be avoided.

Discrimination based on gender will be avoided and actions and measures will be proposed to correct it. Non-sexist language will be used.

Students who do not pass the subject will have to demonstrate the correct acquisition of the competencies


Sources of information
Basic
  • Roger S. Pressman (). Ingeniería del Software. Un Enfoque Práctico. McGraw-Hill
  • Ian Sommerville (). Software engineering. Pearson
  • Steve McConnell (). Desarrollo y gestión de proyectos informáticos. McGraw-Hill
  • Ted Klastorin (2010). Gestión de proyectos con casos prácticos, ejercicios resueltos, Microsoft Project, Risk y hojas de cálculo. Profit Editorial
  • Quintín Martín Martín (2003). Investigación operativa. Pearson educación
  • Quintín Martín Martín; Mª Teresa Santos Martín; Yanira del Rosario de Paz Santana (2005). Investigación operativa. Problemas y ejercicios resueltos. Pearson educación
  • “Ingeniería del software. Un enfoque práctico”. Roger S. Pressman. 7ª edición. McGraw-Hill.
  • “Software engineering”. Ian Sommerville. 10ª edición. Pearson.
  • “Desarrollo y gestión de proyectos informáticos”. Steve McConnell. McGraw-Hill.
  • “IEEE standard for software configuration management plans”. Estándar IEEE 828-1990.
  • “IEEE guide to software configuration management”. Guía IEEE 1042-1987.
  • “Planificación asistida por ordenador: Microsoft Project Professional 2019”. Javier Andrade Garda y Sonia M. Suárez Garaboa. Repronor. 2020.
  • Manuales de usuario de la herramienta MS-Project 2019.
  • “Gestión de proyectos con casos prácticos, ejercicios resueltos, Microsoft Project, Risk y hojas de cálculo”. Ted Klastorin. Profit Editorial. 2010.
  • "Investigación operativa". Quintín Martín Martín. Pearson educación. 2003.
  • "Investigación operativa. Problemas y ejercicios resueltos". Quintín Martín Martín; Mª Teresa Santos Martín; Yanira del Rosario de Paz Santana. Pearson educación. 2005.
Complementary
  • “Ingeniería del software. Aspectos de gestión. Tomo 1: Conceptos básicos, teoría, ejercicios y herramientas”. Román López-Cortijo y García y Antonio de Amescua Seco. Instituto Ibérico de la Industria del Software (www.iiis.es).
  • “Project management práctico. Técnicas, herramientas y documentos”. J. Eduardo Caamaño. Ed. Círculo rojo-Docencia (www.pmpractico.com).
  • “Calidad de sistemas informáticos”. Mario G. Piattini Velthius, Félix O. García Rubio e Ismael Caballero Muñoz-Reja. Ra-Ma.
  • “La calidad del software y su medida”. Jesús Mª Minguet Melián y Juan F. Hernández Ballesteros. Editorial Centro de Estudios Ramón Areces.
  • “Interfaces, técnicas y prácticas. MÉTRICA versión 3”. Ministerio de las Administraciones Públicas: http://www.csi.map.es/csi/metrica3/.
  • Software Engineering Institute (SEI): http://www.sei.cmu.edu/.
  • European Software Institute (ESI-Tecnalia): http://www.tecnalia.com/es/.
  • "Introducción a la Investigación de Operaciones". F. Hillier; G. Lieberman. McGraw-Hill. 2006.
  • "Investigación de Operaciones. Aplicaciones y Algoritmos". Wayne L. Winston. Thomson. 2004.

Recommendations
Subjects that it is recommended to have taken before
Statistical Analysis of Dependent Data/614G02022
Linear Algebra/614G02001
Fundamentals of Programming II/614G02009
Fundamentals of Programming I/614G02004
Probability and Basic Statistics/614G02003

Subjects that are recommended to be taken simultaneously

Subjects that continue the syllabus

Other comments


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.