Digital Labs (2235.YR.015084.1)
General information
Type: |
OBL |
Curs: |
1 |
Period: |
S semester |
ECTS Credits: |
3 ECTS |
Teaching Staff:
| Group |
Teacher |
Department |
Language |
| Year 1 |
Oriol Rius Canals |
Operaciones, Innovación y Data Sciences |
ENG |
| Year 1 |
Xavier Busquets Carretero |
Operaciones, Innovación y Data Sciences |
ENG |
Prerequisites
This course -through design sprints- will integrate:
1) Business model design (digital strategy)
2) Omni-channel (client)
3) Digital product (machine learning; data flows; UX) and
4) Tech (Term 1)
to learn how to build Prototypes.
Previous Knowledge
Students should be familiar with Business Model Canvas and digital prototyping tools.
Workload distribution
9 hours of face to face classes per week.
4 hours of homework on average per week.
COURSE CONTRIBUTION TO PROGRAM
The Digital Labs complement the lessons taught in other courses by offering a practical approach to digital technologies and agile ways of working.
In each Digital Lab, the students go from problem-framing to problem-solving, generating & prototyping ideas. The labs end with a pitching session where the students will have the opportunity to showcase their solutions and get feedback from mentors & peers.
Course Learning Objectives
During the course, students will:
- Learn by doing how a design sprint process works and understand how it can help them solve business problems and generate new ideas.
- Deepen their knowledge of digital technologies and business models by applying them to solve business challenges.
- Complement and integrate knowledge learned in other courses in a hands-on learning experience.
Methodology
Digital Labs are a concept that offers learning-by-doing experiences. During the labs, the students work in teams solving business challenges by applying innovation methodologies and digital technologies.
The labs are designed following the phases of the Design Sprint methodology - created by Jake Knapp at Google - and integrate Design Thinking, Agile, and Business Model Canvas elements to maximize the learning experience and ensure satisfactory outcomes.
Assessment criteria
The course assessment will be based on the following:
- Proposed solutions (70%): applied process, suitability & clarity of the idea, final pitch & argumentation.
- Individual contribution to team's work (30%)
Bibliography
Not Required but Recommended:
- "Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days? - Jake Knapp & John Zeratsky
- "Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers? - Alexander Osterwalder & Yves Pigneur
- "Testing Business Ideas: A Field Guide for Rapid Experimentation? - Alexander Osterwalder & David J. Bland
Timetable and sections
| Group |
Teacher |
Department |
| Year 1 |
Oriol Rius Canals |
Operaciones, Innovación y Data Sciences |
| Year 1 |
Xavier Busquets Carretero |
Operaciones, Innovación y Data Sciences |
Timetable Year 1
From 2024/2/14 to 2024/2/16:
From Wednesday to Friday from 10:30 to 12:00.
From Wednesday to Friday from 8:45 to 10:15.
From 2024/2/28 to 2024/3/1:
From Wednesday to Friday from 10:30 to 12:00.
From Wednesday to Friday from 8:45 to 10:15.
From 2024/3/13 to 2024/3/15:
From Wednesday to Friday from 10:30 to 12:00.
From Wednesday to Friday from 8:45 to 10:15.
