The Blended Intensive Programme (BIP) ‘Smart Everything – Connecting Artificial Intelligence Tools with Business Ideas, is jointly coordinated by the University of Burgos (UBU), the Häme University of Applied Sciences (HAMK) and the Polytechnic University of Cávado and Ave (IPCA).

The programme introduces students to how new technological developments of Artificial Intelligence can be applied to specific business ideas. Participants will learn how to use free, open-source large language models to create a variety of tools, such as chatbots, document analysis applications, translators for up to 60 languages, content generators, sentiment analysis tools, and summarisation software. By working with these existing machine learning models, they will gain practical experience in applying AI technology to solve real-world problems and generate business ideas.

This BIP invites to address the urgent coordination between the makers (IT) and the marketers. It rethinks the practice of design, development, and consumer relationships as a more collaborative process. Co-creation has proven to be one of the most successful ways to generate value, enhance consumers’ experiences, and ultimately create products that seamlessly solve real problems.

Over a six weeks period, the participants will design, develop and market together in an international and multidisciplinary group. The group will build a prototype app using generative Artificial Intelligence language models. Business and IT students work hand in hand from start to end in the design of the prototype. The participants should also work on their strengths like IT students in programming, marketing students in marketing planning and accounting students in profit calculations. The prototype should contain a mockup idea of using Artificial Intelligence for business purposes. The project from code to pitch will deliver what we expect will be the future of smart products and consumer relationships. To ensure the successful development of their projects, students will commit to a series of milestones, including individual preparation work, an intensive group work week, an ideation presentation, a prototype presentation, and a final presentation of the minimum viable product (MVP). The course will conclude with an on-site intensive week.

Schedule
7 April to 16 May 2025

Online sessions

• 7 April, 16h00–20h00 CET • Kick-off meeting, definition of teams, get-to-know each other.
• 8 April, 16h00–20h00 CET • Teaming activities, definition of teams, get-to-know, project info and more team activities.
• 9 April, 16h00–19h00 CET • SWOT, BMC and other tools. Basic working instructions for this BIP. Innovation and planning method used. Teamwork.
• 10 April, 16h00–20h00 CET • Blacklog and user stories. Objectives and Key Results (OKR). Selecting and using best methods, starting the backlog, preparing for user stories, designing OKRs, and selecting pairs.
• 11 April, 16h00–17h30 CET • 4 Introduction to AI Applications Large Language Models.
• 14 April, 16h00–20h00 CET • Milestone 1: OKRs, methods used, business idea now, BMC, backlog, user stories. Teamwork.
• 15 April, 16h00–20h00 CET • Silo breaking strategies. Introduction to Foundation & Large Language Models. Start together, but you may divide the tasks among the group. At the end come together to report progress to all group.
• 22 April, 16h00–19h00 CET • Retrieval Augmented Generation (RAG). Teamwork.
• 23 April, 16h00–20h00 CET • Basic budgeting, USP. Sustainability framework. Smart technologies. First analysis on these. Teamwork.
• 24 April, 16h00–19h00 CET • Milestone 2: MPV, market research, backlog as they are now. Teamwork.
• 28 April, 16h00–20h00 CET • Supervisor meeting. Checking the situation of students and tasks & Preparing for the intensive week. Teamwork.
• 5 May, 16h00–20h00 CET • New trends in marketing research. Design research. Teamwork.
• 7 May, 16h00–19h00 CET • Teamwork.
• 8 May, 16h00–19h00 CET • Teamwork.

Face-to-face week
From 12 to 16 May at UBU, in Burgos, Spain.

Mode of delivery
Blended

Language of instruction
English

3 ECTS credits

Academic recognition
To be defined by each Home Institution.
In general terms, most students will have this RUN-EU BIP certified in the Diploma Supplement, as a minimal condition.

Eligible participants
All RUN-EU Degree Students from the second study year onwards. In main study fields:

1. AI or Software Engineering
2. Analysis of Data
3. Business/Economics/Marketing

Max. 35 students from outside of UBU. If there are spaces, also students from other degrees can be accepted. First-timers have priority.

How to apply
Fill in the application form

Deadline for applications
11 March 2025