Degree | Type | Year |
---|---|---|
2504392 Artificial Intelligence | OB | 3 |
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There are none.
The specific goal of the course is to introduce the set of techniques and skills needed to design, plan and develop projects at a professional level in the fields of companies and organizations, particularly those related to Artificial Intelligence.
At the end of the course, students will be able to:
Furthermore, students must be able to work as a team in planning specific projects, and to comunicate within the team and with the organization, both in the form of oral presentations and written reports, in the different stages of the project planning.
Unit 0. The field of AI and project management
Unit 1. Basics elements of project management: Major characteristics, project development cycle, approaches to project management
Unit 2. The initial phase of a project.
Unit 3. Project planning and scheduling: the analytical structure of a project and the development of a WBS. PERT and CPM networks: characteristics and use. Critical path, total duration, and slacks for non-critical tasks. Treatment of time uncertainty. Task planning and scheduling charts: Gantt chart. Specific software for time planning and management of projects.
Unit 4. Cost Planning and sustainability: cost estimations for a project. Monetary and intanglible costs.
Unit 5. Quality management and risk management: identification of the relevant quality criteria for a project, and preparation of the project's quality plan. Identification and measurement of possible sources of risk, as well as subsequent planning of sensible responses.
Unit 6. Controlling a project: methodologies to monitor forecasts made in project planning (scope, time, resources, costs, quality): from milestones to the use of standard ad-hoc computer software.
Throughout the development of the subject, various agile project development techniques will be considered (including Scrum, Kanban or Lean) as well as various tools for ideation (canvas, design thinking, prototyping) and IT tools for the assurance of collaborative work and in the management and control of projects
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
A. Theoretical lectures | 18 | 0.72 | 2, 3, 6, 7 |
B. Classroom problems | 12 | 0.48 | 2, 4, 6, 7 |
C. Laboratory sessions | 12 | 0.48 | 4, 6, 7, 8 |
D.Oral presentations and discussion of cases | 8 | 0.32 | 1, 4, 5, 8 |
Type: Supervised | |||
E. Tutorials | 12 | 0.48 | 1, 3, 5, 6 |
Type: Autonomous | |||
F. Independent study | 20 | 0.8 | 2, 6, 9 |
G. Designing, preparing and drafting the course projects | 65 | 2.6 | 1, 2, 4, 5, 7, 8, 9 |
Based on PBL, the course combines several techniques to favour formative learning:
This approach merges individual learning, essential in any subject of study, with collaborative activities to ensure the quality of the team projects, thus consolidating the learning skills of each one of the team members.
Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
a. Individual submission of practical cases proposed during the course | 15% | 0 | 0 | 6, 9 |
b. Submission of reports regarding the different phases of the course team project | 10% | 0 | 0 | 1, 5, 8 |
c. Submission of the Final Project Management plan | 35% | 0 | 0 | 2, 3, 4, 6, 7, 8 |
d. Final exam | 40% | 3 | 0.12 | 1, 2, 3, 5, 6 |
The assessment of the course will be formative, thus carried out throughout the semester. It is based on the following learning evidence:
The students’ final grade will be obtained from the weighted sum of the assessments of the various tasks carried out during the course, considering specific weights for each of the four components:
N = 15% (individual submission of practical cases) + 10% (partial reports concerning the course project) + 35% (Final Project Management Plan) + 40% (final exam)
subject to the three following constraints: (1) each one of the components of the assessment must be a strictly positive value, (2) the individual rating obtained in the final report of the project must be equal to or higher than 4.5, and (3) the score obtained in the final exam is at least 4.0 (out of 10).
It must be taken into account that the marks obtained from teamwork during the course, as well as the final report of the project, will always be on an individual level, and thus will not necessarily match with the assessment of the work itself, since individual aspects such as the students’ participation and will also be considered.
Important notes:
1. Students who have not passed the subject using the previous calculation, or who do not meet all the conditions to be able to do it, will have as final mark the lower value between 4.5 and the value of N above. A mark equal or greater than 3.5 entitles the student to participate in the retake process described below.
2. A student having not participated in any of the assessment activities will be considered "Not evaluable".
3. This subject does NOT offer the option for comprehensive evaluation.
Retake Process
Students taking this exam and passing will get a grade of 5 for the subject. The students having not passed the retake exam will be graded using his/her final exam grade, and hence, will fail the course.
Free and open source software to be defined based on the interest of the students' teams
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PAUL) Classroom practices | 1 | English | first semester | afternoon |
(PLAB) Practical laboratories | 1 | English | first semester | afternoon |
(PLAB) Practical laboratories | 2 | English | first semester | afternoon |
(TE) Theory | 1 | English | first semester | afternoon |