AI in Practice: Implementing Real-World Solutions (Wintersemester 2022/2023)
Lecturer:
Prof. Dr. Gerard de Melo
(Artificial Intelligence and Intelligent Systems)
,
Tolga Buz
(School of Entrepreneurship)
Course Website:
https://hpi.de/entrepreneurship/vorlesungen/ai-in-practice.html
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.10.2022 - 31.10.2022
- Examination time §9 (4) BAMA-O: 07.02.2023
- Teaching Form: Project seminar
- Enrolment Type: Compulsory Elective Module
- Course Language: German
- Maximum number of participants: 24
Programs, Module Groups & Modules
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-K Konzepte und Methoden
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-S Spezialisierung
- BPET: Business Process & Enterprise Technologies
- HPI-BPET-T Techniken und Werkzeuge
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-S Spezialisierung
- OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-T Techniken und Werkzeuge
- DASY: Data Systems
- HPI-DASY-K Konzepte und Methoden
- DASY: Data Systems
- HPI-DASY-T Techniken und Werkzeuge
- DASY: Data Systems
- HPI-DASY-S Spezialisierung
- CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
- DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
- APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization
- 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
Description
Further information: https://hpi.de/en/entrepreneurship/lectures/ai-in-practice.html
Details zur Vorlesung: https://hpi.de/entrepreneurship/vorlesungen/ai-in-practice.html
Requirements
Prior familiarity with ML/AI required
Learning
Practical projects with companies: Regular milestones/deadlines throughout the semester
This is not a regular lecture course.
Examination
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