Managerial AI


Content

In this seminar, students will apply AI methods on real world data to solve managerial problems (e.g. prediction of financial outcomes, internet search trends, etc.). Participants will analyze data and apply different AI methods to visualize and gain insights on their data. Students are encouraged to work in teams of two.


Students
  • M.Sc. Betriebswirtschaftslehre

Seminar Paper

Deliverables will be a seminar paper (22,200 characters per Person, including spaces) and a video-presentation (15 minutes per Person).


      Enrolment

      Moodle self enrolment, enrolment key via LSF


      Requirements

      Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses ("AI for Managers", "Introduction to AI", etc.).


      AI for Good


      Content

      In this seminar students will apply AI methods on real world data to solve societal problems, by analyzing data and applying different AI methods to visualize and gain insights. Topics are selected with a focus on having a positive impact on society. Students are encouraged to work in teams of four.


      Students
      • MMT
      • Master programs at the faculty of mathematics, informatics and statistics

      Seminar Paper

      Deliverables will be a seminar paper (22,200 characters per Person, including spaces) and a video-presentation (15 minutes per Person).


          Enrolment

          Moodle self enrolment, enrolment key via LSF


          Requirements

          Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses ("AI for Managers", "Introduction to AI", etc.).


          Methods for AI


          Content

          In this seminar, students will discuss a specific AI method and its application in practice. Participants will study the theoretical foundations of the method, and discuss how to apply it to data.


          Students
          • M.Sc. Betriebswirtschaftslehre
          • MMT

          Seminar Paper

          Deliverables will be a seminar paper (22,200 characters, including spaces) and a video-presentation (15 minutes).


              Enrolment

              Moodle self enrolment, enrolment key via LSF


              Requirements

              Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses ("AI for Managers", "Introduction to AI", etc.).


              Advances in AI and Management


              Content

              The online course aims to give an overview of current advances and trends in AI research. The weekly sessions consist of 45-60 minutes of presentation followed by an open discussion, feedback and QA.

              Students
              • MMT
              • MBR
              • M.Sc.
              Format
              Online course via zoom

              Dates
              05.05.2022
              12:00-13:30
              12.05.2022
              18:30-20:00
              19.05.2022
              12:00-13:30
              02.06.2022
              1600-17:30
              09.06.2022
              12:00-13:30
              23.06.2022
              16:00-17:30
              30.06.2022
              12:00-13:30
              07.07.2022
              12:00-13:30
              14.07.2022
              18:00-19:30
              21.07.2022
              12:00-13:30
              28.07.2022
              16:00-17:30

              Exam
              Exam: Thu 04.08.2022, 10:00am, 1 hour exam, room 211b, Ludwigstr. 28 (front building)
              Registration required

              Enrolment
              Moodle self enrolment, enrolment key via LSF

              AI Tools for Management and Social Science


              Content

              In this seminar, students will familiarize with a specific AI tool relevant for management and social science research. They will review a specific topic, write a report and give a presentation on their findings.

              Please note: The successfull completion of this course is a prerquisite to write your bachelor thesis at the Institute of AI in Management.


              Students
              • B.Sc. Betriebswirtschaftslehre

              Seminar Paper

              Deliverables will be a seminar paper (22,200 characters, including spaces) and a video-presentation (15 minutes).


                  Enrolment
                  1. Please register via Hauptseminaranmeldung
                  2. Accepted students are asked to self enroll via Moodle, enrolment key in LSF

                  Requirements

                  Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses (e.g. "Introduction to AI").


                  Advanced AI in Businesses and Organizations


                  Content

                  In this online course, students will implement an advanced machine learning project. The machine learning project should be of value to the decision-making in businesses, organizations, and society. This is an advanced course for specialization.

                  Students
                  • MMT
                  • MBR
                  • M.Sc.
                  Format

                  Online course

                  Seminar Paper

                  Deliverables will be a paper that involves actual machine learning results (with codes in the appendix) and a video presentation. Students will need to advance their knowledge on their own with the provided materials.

                  Literature
                    Enrolment

                    Moodle self enrolment, enrolment key via LSF

                    Research in AI and Management


                    Content

                    The online course aims to give an overview of current trends in AI research. The weekly sessions consist of 45-60 minutes of presentation (e.g. presentation of a "paper in progress") followed by an opendiscussion, feedback and QA.

                    Students
                    • MMT
                    • MBR
                    • M.Sc.
                    Format
                    Online course via Zoom

                    Dates

                    Weekly sessions on Thursdays. All dates, times and Zoom links will be made available on the Moodle course page.

                    Enrolment
                    Moodle self enrolment, enrolment key available via LSF

                    Digital Technologies, Business Analytics and Management


                    Content

                    Overall, the course provides students with a comprehensive overview of how digital technologies are used in modern business settings. It equips them with the skills they need to take advantage of these technologies and become more successful managers.

                    Students
                    • M.Sc. Betriebswirtschaftslehre
                    Requirements

                    No specific requirements

                    Literature
                    • James, Witten, Hastie & Ribshirani. 2013. An Introduction to Statistical Learning: With Applications in R. Springer.
                    • Sharda, Delen & Turban. 2014. Business Intelligence: A Managerial Perspective on Analytics. Pearson.
                        Enrolment

                        Self-enrolment in Moodle, enrolment key via LSF

                        AI Tools for Management and Social Science


                        Content

                        In this seminar, students will familiarize with a specific AI tool relevant for management and social science research. They will review a specific topic, write a report and give a presentation on their findings.

                        Please note: The successfull completion of this course is a prerquisite to write your bachelor thesis at the Institute of AI in Management.

                        Students
                        • B.Sc. Betriebswirtschaftslehre
                        Seminar Paper

                        Deliverables will be a seminar paper (22,200 characters, including spaces) and a video-presentation (15 minutes).
                            Requirements

                            Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses (e.g. "Introduction to AI").

                            Enrolment
                            1. Please register via Hauptseminaranmeldung
                            2. Accepted students are asked to self enroll via Moodle, enrolment key in LSF