Degree | Type | Year | Semester |
---|---|---|---|
2504392 Artificial Intelligence | FB | 1 | 1 |
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
No prerequisites are required.
This course aims to explore how the study of Cognitive Processes (CP) can inform and improve Artificial Intelligence (AI). The student will review cognitive processing in processes such as perception and attention, learning and memory, language processing, thinking and reasoning, and emotion. The role of those processes in AI will be emphasized.
1. Human cognition (1 week)
2. Perception and attention (2.5 weeks)
3. Learning and memory (2 weeks)
4. Language processing (2.5 weeks)
5. Thinking and reasoning (2.5 weeks)
6. Motivation, Cognition and Emotion (2 weeks)
The teaching methodology is based on different training activities. Master classes, seminars, workshops, supervised and autonomous activities will be scheduled during the 12.5 weeks of the course.
Type: Directed (50 hours)
Type: Supervised (20 hours)
Type: Autonomous (55 hours)
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.
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 | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Master classes | 26 | 1.04 | 1, 11, 6, 5, 8, 4, 7, 9 |
Seminars | 24 | 0.96 | 1, 3, 6, 10 |
Type: Supervised | |||
Tutoring (group and individual) | 20 | 0.8 | 10, 12 |
Type: Autonomous | |||
Individual Study | 44 | 1.76 | 1, 2, 11, 6, 5, 8, 4, 7, 9 |
Team work | 20 | 0.8 | 3, 10, 12 |
The evaluation of this subject is continuous. Assessment has a clear formative function.
The competencies of this subject will be assessed through activities, presentations and reports, as well as exams.
The evidence of learning that the student must demonstrate is based on class theories and practices, and on work competencies in practices.
The evaluation system is organized into 3 pieces of evidence, each of which is assigned a specific weight relative to the final grade:
Evidence 1: Group project (30%) Follow-up activities, report and public presentation of a board game designed by the students.
Evidence 2: Examination 1 half semester (35%) Human cognition, attention and perception, learning and theory
Evidence 3: Exam 2 end of semester (35%) Language processing, Thought and reasoning, Motivation, Cognition and Emotion.
Passed subject:
The subject is passed when the student obtains a global mark higher than 5 and has at least 2 of the 3 evidences presented.
For not fulfilling these criteria (not having passed two of the 3 evidences) the maximum mark obtained is 4 points.
Resit test:
Evidence can be retrieved and the same grade can be obtained from 1 to 10 in case it could not be done at the time due to a documented justified reason.
When the evidence has been made and not passed, the highest grade that can be obtained in the recovery is passed (5).
The recovery consists of the test that allows to demonstrate the minimum knowledge necessary to pass the subject.
The subject is not assessable: When the student has presented less than (40%) of the evidence.
This subject does not offer a synthesis test for second or subsequent enrollments.
COPIES, PLAGIARIES, etc .: without prejudice to other disciplinary measures that are deemed appropriate.
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Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Exam 2 | 35% | 2 | 0.08 | 5, 8, 4, 7, 9, 12 |
First Exam | 35% | 2 | 0.08 | 1, 2, 11, 6, 12 |
Follow up activities | 30% | 12 | 0.48 | 1, 2, 3, 11, 6, 5, 8, 4, 7, 9, 10 |
Eysenck, M.W. & Keane, M.T. (2020). Cognitive Psychology. A Student’s Handbook. Routledge.
Eysenk, M.W. & Groome, D. (2015). Cognitive Psychology: Revisiting the classic studies.
Harley, T. A. (2014). The Psychology of Language: From Data to Theory. 4th Edition. Routledge
Hawkins, J., & Blakeslee, S. (2004) On Intelligence. Times Books.
Kahneman, D. (2011). Thinking fast and slow. Penguin Books.
No specific software needed