The subject is organized in 3 parts:
(i) Project management;
(ii) Lean innovation and design thinking;
(iii) Project development.
After the first phase, students do an exercise to create a project management environment.
In the second phase, problems that come from companies are heard and the students make a proposal.
In the third phase, after selecting proposals, we work towards a minimum viable product.
Teachers
Person in charge
Marta Casanellas Rius (
)
Weekly hours
Theory
2
Problems
2
Laboratory
0
Guided learning
0
Autonomous learning
6
Learning Outcomes
Learning Outcomes
Knowledge
K7 - Analyze the sources of scientific information, valid and reliable, to justify the state of the art of a bioinformatics problem and to be able to address its resolution.
Skills
S5 - Disseminate information, ideas, problems and solutions from bioinformatics and computational biology to a general audience.
S6 - Identify and interpret relevant data, within the area of study, to make judgments that include social, scientific or ethical reflections.
S8 - Make decisions, and defend them with arguments, in the resolution of problems in the areas of biology, as well as, within the appropriate fields, health sciences, computer sciences and experimental sciences.
S10 - Use acquired knowledge and the skills of bioinformatics problem solving in new or unfamiliar environments within broader (or multidisciplinary) contexts related to bioinformatics and computational biology.
Competences
C1 - Apply knowledge in an integrated way in work or vocation in a professional manner and adopt behaviors in accordance with an ethical and responsible professional practice, taking into account the human and fundamental rights of people and respecting the principles of universal accessibility.
C2 - Identify the complexity of the economic and social phenomena typical of the welfare society and relate welfare to globalization, sustainability and climate change in order to use technique, technology, economy and sustainability in a balanced and compatible way.
C3 - Communicate orally and in writing with others in the English language about learning, thinking and decision making outcomes.
C4 - Work as a member of an interdisciplinary team, either as an additional member or performing managerial tasks, in order to contribute to the development of projects (including business or research) with pragmatism and a sense of responsibility and ethical principles, assuming commitments taking into account the available resources.
C5 - Unify the acquisition, structuring, analysis and visualization of data and information in the field of specialty, critically assessing the results of such management.
C6 - Detect deficiencies in the own knowledge and overcome them through critical reflection and the choice of the best action to expand this knowledge.
C8 - Work in the formulation, design and management of projects in the field of bioinformatics.
Objectives
Have the ability to conceive, design, develop and implement AI-based systems capable of extracting information from data and signals, processing them and generating solutions (responses, actions, decisions, diagnoses, predictions) applicable to the problem environment, whether physical , virtual or a combination of both.
Related competences:
Being able to select the most appropriate AI techniques, methods and models for each aspect of the problem to be solved, and integrate them into a single, coherent and effective system.
Related competences:
Being able to manage a complex project, define its scope, carry out temporal planning (of processes and activities) and economic planning (of human, material and immaterial resources), prioritize and re-plan when necessary (based on criteria of reduction of the risk and increase in the value contributed by the result).
Related competences:
Being able to adequately present the results of the project, justifying the decisions made and the added value provided by the system.
Related competences:
Contents
Project managament
After the first phase, students do an exercise to create a project management environment.
Lean innovation and design thinking
In the second phase, problems that come from companies are heard and the students make a proposal.
Project development
In the third phase, after selecting proposals, we work towards a minimum viable product.
Activities
ActivityEvaluation act
Project management
Theory
10h
Problems
10h
Laboratory
0h
Guided learning
0h
Autonomous learning
30h
Lean innovation and design thinking
Theory
10h
Problems
10h
Laboratory
0h
Guided learning
0h
Autonomous learning
30h
Project development
Theory
10h
Problems
10h
Laboratory
0h
Guided learning
0h
Autonomous learning
30h
Teaching methodology
TEACHING METHODOLOGIES
* Expository class of theoretical and practical contents
* Participatory class, based on the resolution of practical cases or exercises or on the discussion of previously assigned readings
* Group work with the presence of the teacher
* Group / cooperative work without the presence of the teacher
* Presentation of work by students
Evaluation methodology
Long-answer oral or written tests (%) 0.0-20.0
Multiple choice tests (%) 0.0-15.0
Oral presentations (%) 20.0-40.0
Written assignments on topics proposed in advance(%) 0.0-30.0
Tests performed (%) 10.0-30.0
Bibliography
Basic:
The Startup Owner's Manual The Step-by-Step Guide for Building a Great Company -
Blank, Steve; Dorf, Bob,
John Wiley & Sons, Inc., 2020. ISBN: 9781119690689