Degree | Type | Year |
---|---|---|
Biology | OT | 4 |
Science, Technology and Humanities | OT | 4 |
You can view this information at the end of this document.
There are no prerequisites to follow the course successfully
The main objective of the subject of human origins is to understand current human groups based on their evolution over time.
The study of the evolution of man is made from an integrative perspective of various disciplines. The entire process can not be understood without understanding the periodization and therefore the dating methods for each moment; The changes can not be understood without understanding the evolution of the Earth and how it limits the environment, as climate changes modify ecosystems; tool manufacturing and brain development ...
In this whole, we can understand the evolution from the first primates to the variability of the current man.
Throughout this process, we can understand the evolution of diseases and their distribution in the biosphere.
And the molecular study of the different hominins will capture the variability of the current man.
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Practices | 4 | 0.16 | 9, 4, 12, 22, 18, 17, 21, 23, 25, 31, 30, 29, 26, 33, 8 |
Seminars | 2 | 0.08 | 22, 18, 23, 31, 28, 29, 27, 7, 8 |
Theory | 15 | 0.6 | 9, 5, 3, 2, 4, 1, 6, 10, 12, 11, 13, 14, 22, 15, 16, 19, 17, 20, 21, 25, 24, 32, 30, 29, 26, 33 |
Type: Supervised | |||
Group work | 3 | 0.12 | 9, 4, 6, 12, 11, 15, 16, 20, 21, 24, 32, 28, 29, 33, 7, 8 |
tutoring | 2 | 0.08 | |
Type: Autonomous | |||
Study | 49 | 1.96 | 12, 32, 29, 8 |
The development of the course’s formative activities is based on: theoretical classes, flipped classroom, seminars, and practical sessions in the laboratory and computer room, each with its own specific methodology.
These activities will be complemented by a series of tutorial sessions.
In the theoretical classes, students acquire the scientific knowledge specific to the subject by attending lectures supported by ICT tools, which are complemented by personal study of the topics covered. The audiovisual material used in class will be available to students through the “teaching materials” tool on the Virtual Campus. These classes are conceived as a fundamentally one-directional method of knowledge transmission from the teaching staff to the students, requiring the latter to develop autonomous learning strategies outside the classroom.
Seminars: a leading researcher will be invited to speak and debate on current topics.
Practical classes: students come into contact with laboratory materials and techniques. Results will be discussed at the end of each session and/or evaluable materials will be collected. Students will have access to protocols and practice guides via the Virtual Campus. The knowledge acquired in theoretical classes and through personal study is applied to solving practical cases. Students work in small groups, allowing them to develop teamwork, analytical, and synthesis skills. It also enables the application of statistical tools in data interpretation.
Tutorials: aimed at supervising group work, in which students will present a current and debatable topic in human evolution to the rest of the class, following a flipped classroom format.
Approximately 15 minutes of one class will be allocated for students to complete surveys evaluating teaching performance and the course or module.
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 |
---|---|---|---|---|
control | 40 | 0 | 0 | 9, 5, 3, 2, 4, 1, 10, 13, 15, 16, 19, 20, 21, 25, 24, 32, 31, 30, 28, 29, 26, 27 |
Groupal work | 40 | 0 | 0 | 5, 3, 4, 1, 6, 12, 11, 13, 14, 15, 19, 20, 21, 24, 31, 30, 28, 29, 33, 7, 8 |
Prąctical work | 20 | 0 | 0 | 5, 3, 2, 22, 18, 17, 20, 23, 24, 26, 27 |
Continuous Assessment
As this is a continuous assessment system, student participation, seminar preparation, practical materials, and the test score will all be taken into account. The final grade will be the weighted sum of each component.
A written exam will be conducted to assess the theoretical content of the course (40%), including content covered in the practical sessions. A minimum score of 4 out of 10 is required on this exam for it to be included in the final grade. This exam can be retaken during the resit period.
Practical sessions and seminars account for 20% of the final grade. Assessment will consider both student attitude and the work carried out in the lab, as well as the required reports. Attendance at practical sessions is mandatory and a requirement to pass the course. Students will receive a “Not Assessable” grade if their absence exceeds 20% of the scheduled sessions.
Group work accounts for 40% of the final grade. All students in the same group will receive the same grade for this component, with possible adjustments based on individual contributions to the group work.
To pass the course, the final grade must be equal to or greater than 5 out of 10.
A student will be considered “Not Assessable” if they have completed less than 50% of the assessment activities.
Single Assessment
The single assessment consists of a single synthesis exam that evaluates the entire theoretical content of the course. The grade obtained in this synthesis exam will represent 40% of the final grade. This exam will take place on the same date scheduled for the continuous assessment exam, and the same resit policy will apply.
The assessment of practical sessions and seminars will follow the same process as in continuous assessment. The grade obtained will represent 60% of the final grade. Students opting for single assessment may submit all required evidence (practical report and seminar work) on the same day as the synthesis exam. The seminar work may be completed individually. The same resit policy and “Not Assessable” criteria as in continuous assessment will apply.
Artificial Intelligence (AI)
Permitted use:
“In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of the development of coursework, provided that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. Students must clearly identify which parts were generated using AI, specify the tools used, and include a critical reflection on how these tools influenced the process and final outcome of the activity. Lack of transparency in the use of AI will be considered academic dishonesty and may result in a penalty in the activity grade or more serious sanctions in severe cases.”
REFERENCES
Lee BERGER i John HAWKS 2017. Almost humans: The Astonishing Tale of Homo naledi and the Discovery that changed our human story. Ed. Penguin USA.
Robert BOYD I Joan B. SILK. 2004. Como evolucionaron los humanos. Ariel Ciencia.
Domingo CAMPILLO i M. Eulàlia SUBIRÀ. 2004. Antropología Física para arqueólogos. Ed. Ariel Prehistoria.
Eudald CARBONELL (Coordinador). 2005. Homínidos las primeras ocupaciones de los continentes. Ariel.
Clark Spencer LARSEN. 2010. A Companion to Biological Anthropology. Wiley-Blackwell.
Marina LOZANO i Xose Pedro RODRÍGUEZ. 2010. Dón venim? l'origen de l'Homo sapiens. Ed: Rafael Dalmau, col·lecció evoluciona núm 2.
Michael P. MUEHLENBEIN. 2010. Human Evolutionary Biology. Cambridge University Press.
Daniel TURBÓN. 2006. La evolución humana. Ariel.
SPECIFIC REFERENCES
La mayor parte de la asignatura se basará en bibliografía específica que se facilitará a lo largo de la impartición de la materia.
Not required
Please note that this information is provisional until 30 November 2025. You can check it through this link. To consult the language you will need to enter the CODE of the subject.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLAB) Practical laboratories | 141 | Catalan/Spanish | first semester | afternoon |
(SEM) Seminars | 141 | Catalan/Spanish | first semester | morning-mixed |
(TE) Theory | 14 | Catalan/Spanish | first semester | morning-mixed |