Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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Natural Language Processing (Sommersemester 2022)

Lecturer: Prof. Dr. Gerard de Melo (Artificial Intelligence and Intelligent Systems)
Course Website: https://moodle.hpi.de/course/view.php?id=305

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.04.2022 - 30.04.2022
  • Examination time §9 (4) BAMA-O: 18.08.2022
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English
  • Maximum number of participants: 40

Programs, Module Groups & Modules

IT-Systems Engineering MA
Data Engineering MA
Cybersecurity MA
Digital Health MA
  • Digital Health
    • HPI-DH-DS Data Science for Digital Health
  • DICR: Digitalization of Clinical and Research Processes
    • HPI-DICR-S 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

Description

This course covers a broad range of topics relating to natural language processing (NLP) and computational linguistics, ranging from traditional linguistically oriented tasks such as syntactic parsing and information extraction to modern deep learning-based NLP using Transformers (e.g., BERT, GPT-3). It will cover recent techniques such as for explainable AI and data augmentation, as well as applications such as conversational agents, machine translation, and sentiment analysis.

Requirements

This course requires solid programming skills as well as high school-level mathematics (especially basic linear algebra and probability theory).
 

Learning

Lecture with integrated practical exercises.

This course will mostly take place in person. However, in the first 2 weeks, the lectures will be online on Zoom. Please join our Moodle instance for login details.

Non-HPI students can contact Sophie Bodien at office-deMelo(at)hpi.de to obtain access.

Examination

60% Final Exam

40% Graded project-based assignments

In case of low participation, the exam can be replaced by an oral examination.

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