Advanced AI in Businesses and Organizations (SoSe, Master, 6 ECTS)

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

    AI for Managers (WiSe, Master, 6 ECTS)

    AI for Managers


    Content
    The course aims to give an introduction to AI algorithms and coding exercises. Students learn to plan, implement and evaluate AI in applied settings in order to generate value from data forsociety, corporations and individuals. This serves the pressing need of firms to improve their efficiency – such as customersatisfaction, competitive advantage – by leveraging the growing amounts of structured and unstructured data. Please note that sufficient programming skills are required (e.g. R, Python).

    Students
    MMT
    MBR

    Format
    Onsite and online course (either or, tbd)

    Literature
    • James, Witten, Hastie & Tibshirani (2013): An Introduction to Statistical Learning: With Applications in R. Springer
    • Sharda, Delen & Turban (2014): Business Intelligence: A Managerial Perspective on Analytics. Pearson
    Enrolment
    Moodle self enrolment, enrolment key via LSF

    Advanced AI in Businesses and Organizations (WiSe, Master, 6 ECTS)

    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

      Digital Technologies, Business Analytics and Management (WiSe, Master, Fachspezifische Grundlagen, 9 ECTS)

      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

          Introduction to AI (WiSe, Bachelor, 6 ECTS)

          Introduction to AI


          Content
          The course aims to give an introduction to AI algorithms and coding exercises. Students learn to plan, implement and evaluate AI in applied settings in order to generate value from data forsociety, corporations and individuals. This serves the pressing need of firms to improve their efficiency – such as customersatisfaction, competitive advantage – by leveraging the growing amounts of structured and unstructured data. Please note that sufficient programming skills are required (e.g. R, Python).

          Students
          B.Sc.

          Format
          Onsite and online course (either or, tbd)

          Literature
          • James, Witten, Hastie & Tibshirani (2013): An Introduction to Statistical Learning: With Applications in R. Springer
          • Sharda, Delen & Turban (2014): Business Intelligence: A Managerial Perspective on Analytics. Pearson
          Enrolment
          Moodle self enrolment, enrolment key via LSF

          AI Tools for Management and Social Science (WiSe, Bachelor, Hauptseminar, 6 ECTS)

          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

              Business Analytics in Practice (SoSe, Master, Projektkurs, 12 ECTS)

              Business Analytics in Practice


              Content

              The project course offers students the opportunity to work on a real business problem during the semester. Students are assigned to teams (3-5 per team) , collaborating closely with a company, working on a problem statement of practical relevance, and collecting all their findings in a presentation and a report.

              Students should expect that they have to schedule regular meetings with the partner company. The format will be determined by the company but expected to be most likely in person and at the company.

              Students
              • M.Sc. Betriebswirtschaftslehre

              Report and Presentation

              • Report (44,400 – 66,600 characters, including spaces)
              • Presentation (30-50 minutes)


                  Enrolment
                  1. Please register via Projektkursanmeldung
                  2. Accepted students will be enrolled to the Moodle course by us

                  Requirements
                  • Previous participation in one of our courses such as Digital Technologies, Business Analytics and Management (FSG).
                  • Sufficient programming skills required (e.g. R, Python), such as taught in one of our previous courses (e.g. "Introduction to AI").

                  AI for Good (SoSe, Master, 6 ECTS)

                  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.).


                      Managerial AI (SoSe, Master, 6 ECTS)

                      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.).


                          Methods for AI (SoSe, Master, 6 ECTS)

                          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.).


                              AI Tools for Management and Social Science (SoSe, Bachelor, Hauptseminar, 6 ECTS)

                              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").