Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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AI in Practice: Implementing Real-World Solutions (Wintersemester 2023/2024)

Lecturer: Prof. Dr. Gerard de Melo (Artificial Intelligence and Intelligent Systems) , Michael Mansfeld
Course Website: https://hpi.de/entrepreneurship/ai-in-practice.html

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.10.2023 - 31.10.2023
  • Examination time §9 (4) BAMA-O: 22.01.2024
  • Teaching Form: Project seminar
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English

Programs, Module Groups & Modules

IT-Systems Engineering MA
Data Engineering MA
Digital Health MA
Software Systems Engineering MA
  • DSYS: Data-Driven Systems
    • HPI-DSYS-C Concepts and Methods
  • DSYS: Data-Driven Systems
    • HPI-DSYS-T Technologies and Tools
  • DSYS: Data-Driven Systems
    • HPI-DSYS-S Specialization
  • MALA: Machine Learning and Analytics
    • HPI-MALA-C Concepts and Methods
  • MALA: Machine Learning and Analytics
    • HPI-MALA-T Technologies and Tools
  • MALA: Machine Learning and Analytics
    • HPI-MALA-S Specialization

Requirements

Prior familiarity with ML/AI required.

Working on projects with the partner companies requires signing a legal agreement. This is to ensure that they are able to share company-internal information with you. The rights to the code and data that you create remains with the student team, but with the understanding that you will negotiate with the company to also allow them to use it. 

Learning

This is not a regular lecture course. Rather, the students will engage in practical projects working closely with companies. There will be regular milestones/deadlines throughout the semester. The final presentations are scheduled for the final week of the lecture period. After that, the only remaining deadline is for the final report.

Examination

The grades will be based on:

  • Project Report (5-10 pages): 80%
  • Final Presentation 20%

Dates

Details about the course will be given in the first session (Monday, Oct. 16, 11:00-12:30, HPI Building F, Room F-E.06).

Details of the topics will be presented in the second session (Thursday, Oct. 19, 09:15-10:45, HPI Building F, Room F-E.06). The assignment of topics will then take place in the following days.

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