Course syllabus for Digitalization and AI in practice

The course syllabus contains changes
See changes

Course syllabus adopted 2024-02-01 by Head of Programme (or corresponding).

Overview

  • Swedish nameDigitalisering och AI i praktiken
  • CodeTEK830
  • Credits7.5 Credits
  • OwnerTKITE
  • Education cycleFirst-cycle
  • Main field of studyEnergy and Environmental Systems and Technology
  • ThemeEnvironment 7.5 c
  • DepartmentTECHNOLOGY MANAGEMENT AND ECONOMICS
  • GradingUG - Pass, Fail

Course round 1

  • Teaching language English
  • Application code 52150
  • Maximum participants120
  • Block schedule
  • Open for exchange studentsNo
  • Only students with the course round in the programme overview.

Credit distribution

0124 Project 7.5 c
Grading: UG
7.5 c0 c0 c0 c0 c0 c

In programmes

Examiner

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Eligibility

General entry requirements for bachelor's level (first cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

The same as for the programme that owns the course.
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

Approved final grade in TDA367 Object-oriented programming project and approved final grade in DAT565 Introduction to data science and AI, or equivalent.

Aim

This course aims to provide students with knowledge and experience in communicating with clients, industry, and society as well as in conceiving, developing, and pitching a digital innovation for a client through practical project group work in English.

Learning outcomes (after completion of the course the student should be able to)

Knowledge and understanding
  • Develop understanding of how to operationalize AI/digital technologies in a digital innovation
  • Gain knowledge of how to identify, collect, and analyze relevant data for a digital innovation, e.g., publicly available databases, stakeholder interviews
  • Gain knowledge of how to conceive, develop, and pitch a digital innovation in English for a client, i.e., an external company
  • Gain experience working in a digital innovation project team of more than five people
Skills and abilities
  • Demonstrate your ability to integrate AI/digital technologies with relevant data in a digital innovation prototype for a client, i.e., an external company, that is tailored to their specific challenge.
  • Improve your public speaking and presentation skills through developing your ability to convincingly communicate ideas and technical solutions in both spoken and written English in a clear and structured way, including crafting compelling pitches and delivering professional presentations
  • Develop your project management skills for effective planning, execution, and management of team-based digital innovation projects.
Evaluation and approach
  • Evaluate the tradeoffs of a digital innovation prototype, e.g., one vs multiple data sources, functionality vs available resources
  • Critically evaluate and discuss the implications of your digital innovation, e.g., legal, ethical, environmental, security, financial feasibility
  • Conduct a project where division and coordination of tasks between members is needed
  • Develop your ability to receive, process, and effectively use feedback and criticism to refine and improve your digital innovation and pitches as well as critically assess and provide constructive feedback on other student team’s work

Content

This course offers a practical application, where students get to work on a project defined by external stakeholders. The course focuses on developing a digital innovation in a team-based format, providing students with a unique opportunity to collaborate with a real company or organization on a real challenge.

Organisation

This course is organized as project work where students form teams, typically consisting of six members. The course includes lectures, seminars, practical exercises, student-led presentations, and various assignments. A significant part of the course consists of independent group work, where students develop a prototype for a digital innovation commissioned by a company sponsor. The main goal of the project is to develop and pitch a digital innovation to a company that addresses a real challenge that the company is facing.

Through this course, students have the opportunity to develop valuable skills in software development, while gaining practical experience by working on a project that is directly linked to the real business world.

Literature

Please see the course website for more information.

Examination including compulsory elements

Examination is conducted through oral presentations and written assignments done in groups throughout the course. Additionally, student group are required to perform several 'peer-reviews' of other projects. It is required that all course assignments be fulfilled with satisfactory results, including mandatory attendance during the occasions when the external company is present. Grades are given at the group level.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.

The course syllabus contains changes

  • Changes to course rounds:
    • 2024-04-23: Block Block B+ added by Elin Johansson
      [Course round 1]