Digicampus
Seminar: Artificial Intelligence in Business - Details
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Lehrveranstaltung wird online/digital abgehalten.

General information

Subtitle Application of AI to a real-world business case
Semester SS 2022
Current number of participants 7
expected number of participants 25
Home institute Prof. Dr. Daniel Veit – Betriebswirtschaftslehre mit Schwerpunkt Information Systems und Management
Courses type Seminar in category Teaching
Next date Mon , 04.07.2022 13:00 - 14:00, Room: (online via Zoom)
Participants Master (i)BWL/EPP/DFM: Major/Minor Strategy & Information
Master GBM: Concentration: Innovation and Entrepreneurship
Master REWI: SP: Unternehmen und Management
Master WIN: Major/Minor: Operations, Finanz- und Informationsmanagement
Master WING: Major/Minor Management and Sustainability
Pre-requisites A basic understanding of organizational processes and information systems in firms. Fundamental knowledge of statistics.
Learning organization ----------------------------------------
This course is a joined offer of the Chair of Information Systems and Management (Prof. Dr. Veit) at the University of Augsburg and the Chair of Entrepreneurship (Prof. Dr. Steininger) at the Technical University of Darmstadt. The course will be held online.

IMPORTANT NOTE: Instructions for applying via Digicampus

APPLICATION period: 04.04. - 01.05.2022
Maximum number of participants: 25
Admission announcement: 03.05.2022

IMPORTANT DATES
Lectures:
09.05.2022, 1:00pm-4:30pm (online via Zoom)
16.05.2022, 1:00pm-4:30pm (online via Zoom)
23.05.2022, 1:00pm-4:30pm (online via Zoom)
30.05.2022, 1:00pm-3:00pm (case introduction; online via Zoom)
Interim meeting:
tbd.
Final presentation:
tbd.
Submission of project report:
22.07.2022

Join this Digicampus group in order to APPLY for the Artificial Intelligence in Business Seminar at the Chair of Information Systems and Management (Prof. Dr. Veit).

APPLICATION PROCESS:

All students will be TENTATIVELY admitted to this Digicampus Group.

To proceed with the selection process and to be considered for final admission:

1. download and complete the Excel application form (available in the Digicampus group)
2. upload the Excel application
3. upload your latest Transcript of Records (Notenauszug)

After the application deadline and given that all necessary information was provided, students will receive notice on whether they have been selected to write a seminar paper at the chair.

Admitted students will gain final admission and remain in the Digicampus group for further collaboration. Students with declined applications will be removed from the Digicampus group.

* In the Excel Application Form, please provide a short motivation for your topic or field of interest.
* Please make sure to provide a recent transcript of records (STUDIS / Notenauszug).
* Admitted students will receive further details (date, time and location) on the introductory meeting in a separate e-mail.
Performance record Kombinierte mündliche Prüfung und Seminararbeit
Online/Digitale Veranstaltung Veranstaltung wird online/digital abgehalten.
Hauptunterrichtssprache englisch
Weitere Unterrichtssprache(n) deutsch
Literaturhinweise Initial readings are provided during the course
Miscellanea Part 1
- Introduction to AI
- Dispruptive impacts of AI across different industries
- Foundational concepts of AI and different approaches to machine learning
- Data sources for machine learning within and outside of organizations
- Tools and techniques for applying AI in business contexts
- Possibilities and pitfalls when applying AI in functional areas to solve business problems
- Societal, ethical, and legal implications of applying AI in business


Part 2
- Examination of a real-world business problem
- Exploration and analysis of alternative approaches to apply AI to solve the business problem
- Development of a comprehensive AI solution for the business problem within the team

Part 3
- Writing the course paper
- Presentation of the proposed solution in a competition format and discussion of the results

Course location / Course dates

(online via Zoom) Monday. 09.05.22, Monday. 16.05.22, Monday. 23.05.22 13:00 - 16:30
Monday. 30.05.22 13:00 - 15:00
Monday. 20.06.22, Monday. 04.07.22 13:00 - 14:00
Monday. 11.07.22 10:00 - 13:30

Module assignments

Comment/Description

Artificial intelligence (AI) is rapidly emerging as the most important and transformative digital technology of our time. Recent advances have led to a rapid proliferation of new approaches that are changing the competitive landscape for companies in almost all industries. Therefore an understanding of this technology is indispensable for future managers

Upon completion of this module students therefore possess basic knowledge of the conceptual and technological foundations of AI and its strategic implications for companies. They can distinguish different types of machine learning as core enablers of AI (e.g., deep learning, neural networks). They are able to formulate strategies for using AI to create value in companies and to apply the appropriate tools and techniques. Students are familiar with the limitations, pitfalls and possible countermeasures when using AI. They are capable of discussing the societal, ethical and legal implications of the use of AI in business.

During the course, the students are divided into heterogeneous teams of 3-6 students. Within these teams they will learn to develop their own strategy to use AI to solve a real business problem. Finally, the teams will compete with their solution against the solutions of the other teams in a pitch towards the company's stakeholders.

Admission settings

The course is part of admission "Zeitgesteuerte Anmeldung: Artificial Intelligence in Business".
Settings for unsubscribe:
  • The enrolment is possible from 04.04.2022, 00:01 to 01.05.2022, 23:59.

Registration mode

The enrolment is binding, participants cannot unsubscribe themselves.