Module CS5204-KP04, CS5204

Artificial Intelligence 2 (KI2)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

  • Master MES 2020, optional subject, computer science / electrical engineering
  • Master Robotics and Autonomous Systems 2019, optional subject, Elective
  • Master Biophysics 2019, optional subject, Elective
  • Master MES 2014, optional subject, computer science / electrical engineering
  • Master Biomedical Engineering, optional subject, Interdisciplinary modules
  • Master CLS 2016, optional subject, computer science
  • Master Computer Science 2012, optional subject, advanced curriculum intelligent embedded systems
  • Master Computer Science 2012, optional subject, specialization field robotics and automation

Classes and lectures:

  • Artificial Intelligence 2 (exercise, 1 SWS)
  • Artificial Intelligence 2 (lecture, 2 SWS)

Workload:

  • 55 hours private studies
  • 45 hours in-classroom work
  • 20 hours exam preparation

Contents of teaching:

  • Support Vector Machines and Dualization
  • Classification
  • Regression
  • Time-Series Prediction
  • Lagrange Multipliers
  • Sequential Minimal Optimization
  • Geometric Reasoning

Qualification-goals/Competencies:

  • The students are able to choose a method for machine learning for a given application amongst a variety of such methods.
  • The chosen method can be customized to the needs of the application. The process of customization goes well beyond straightforward search of parameters and involves adjustments to the basic mathematical techniques. This leads to innovative applications for machine learning, designed and implemented by the students. The starting point are support vector machines.

Grading through:

  • Oral examination

Responsible for this module:

Literature:

  • P. Norvig, S. Russell : Künstliche Intelligenz München: Pearson 2004

Language:

  • offered only in English

Notes:

Note: Module will not be offered in winter semester 2024/2025

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- None

Module Exam(s):
- CS5204-L1: Artificial Intelligence 2, written exam, 90min, 100% of the module grade

Last Updated:

03.09.2024