Lecture Series on HPI Research (Sommersemester 2024)

Dozent: Prof. Dr. Tilmann Rabl (Data Engineering Systems) , Prof. Dr. Felix Naumann (Information Systems) , Prof. Dr. Bert Arnrich (Digital Health - Connected Healthcare) , Prof. Dr. Ralf Herbrich (Artificial Intelligence and Sustainability) , Prof. Dr. Dr. h.c. mult. Lothar H. Wieler (Digital Global Public Health) , Prof. Dr. Vaibhav Bajpai (Data-Intensive Internet Computing) , Prof. Dr. Gerard de Melo (Artificial Intelligence and Intelligent Systems) , Prof. Dr. Bernhard Renard (Data Analytics and Computational Statistics) , Prof. Dr. Anja Lehmann (Cyber Security - Identity Management) , Prof. Dr. Christian Dörr (Cyber Security - Enterprise Security)
Website zum Kurs: https://hpi.de/rabl/teaching/summer-term-2024/lecture-series-on-hpi-research.html

Allgemeine Information

Semesterwochenstunden: 2
ECTS: 3
Benotet: Ja
Einschreibefrist: 01.04.2024 - 30.04.2024
Prüfungszeitpunkt §9 (4) BAMA-O: 16.07.2024
Lehrform: Vorlesung
Belegungsart: Wahlpflichtmodul
Lehrsprache: Englisch

Studiengänge, Modulgruppen & Module

Software Systems Engineering MA

SSYS: Software Systems
- HPI-SSYS-C Concepts and Methods
OISY: Online and Interactive Systems
- HPI-OISY-C Concepts and Methods
DSYS: Data-Driven Systems
- HPI-DSYS-C Concepts and Methods
MALA: Machine Learning and Analytics
- HPI-MALA-C Concepts and Methods
MODA: Models and Algorithms
- HPI-MODA-C Concepts and Methods

IT-Systems Engineering MA

ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-K Konzepte und Methoden
OSIS: Operating Systems & Information Systems Technology
- HPI-OSIS-K Konzepte und Methoden
SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-K Konzepte und Methoden
HCGT: Human Computer Interaction & Computer Graphics Technology
- HPI-HCGT-K Konzepte und Methoden
BPET: Business Process & Enterprise Technologies
- HPI-BPET-K Konzepte und Methoden

Data Engineering MA

DASY: Data Systems
- HPI-DASY-K Konzepte und Methoden
CODS: Complex Data Systems
- HPI-CODS-K Konzepte und Methoden
DAPP: Data Applications
- HPI-DAPP-K Konzepte und Werkzeuge
DANA: Data Analytics
- HPI-DANA-K Konzepte und Methoden
SYSE: Systems Engineering
- HPI-SYSE-K Konzepte und Methoden

Digital Health MA

SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
HDAS: Health Data Security
- HPI-HDAS-C Concepts and Methods

Cybersecurity MA

IT-Systems Engineering BA

Beschreibung

This collaborative lecture series will feature presentations by HPI professors. We want to give an overview of the breadth of research at HPI in an approachable format. Besides an overview of research topics, we will introduce the breadth of the research groups at HPI. The lecture series is a collaboration of professors at HPI.

Voraussetzungen

There are no prerequisites for this course.

Literatur

Will be provided throughout the lectures.

Lern- und Lehrformen

The lecture will be held by many HPI professors. Students will write summaries and create a poster that they present in the last session.

Leistungserfassung

Deliverables

The course is available for both bachelor and masters students, with the same deliverables but different requirements.

Lecture summary

Write a summary for one selected lecture. Depending on the number of participants, this will be done in groups. Each lecture will be assigned to one person or group.

Individual Poster Project

Prepare an A1 poster (portrait format), with one of the following contents, depending on your study level. You will present your poster at the final session.

Mark Breakdown

50% - Lecture summary
50% - Individual poster project

Termine

The course will be held in L-E.03, Tuesdays, 5pm. The first session is on 09.04.2024.

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