Module Import 04IN2028 - Machine Learning & Data Mining

Status: Published
Workload6 ECTS = 180 hrs
Credits, Weight6 ECTS, (n.s.)
Language of Instruction English
Semester (n.s.)
Duration1 Sem.
M/E Elective
Courses
Course No. Type Name MA/EL Workload Credits Contact Hours Selfstudy Group Size
04IN2028-1 Lecture Machine Learning & Data Mining EL 3 ECTS = 90 hrs 3 ECTS 2 hrs/week = 30 hrs 60 hrs 120
04IN2028-2 Seminar/Exercise Machine Learning & Data Mining MA 3 ECTS = 90 hrs 3 ECTS 2 hrs/week = 30 hrs 60 hrs 30
Learning Outcomes

Machine Learning is devoted to automated learning from input data. It suggests explanation models and estimates their parameters for understanding and predicting the future system behavior. Machine learning serves a formal backbone for many methods and models of computer science.

Content

(not specified)

04IN2028-1 - Machine Learning & Data Mining

The lecture addresses master students in computer science, computer visualistics, information management, business informatics and Web science that want to extend and to structure their knowledge in machine learning. Lecture topics include linear discriminators, kernel-based methods, Bayesian methods, as well as common applications in Computer Science problems. Special attention is paid to modern, state of the art methods and approaches that are currently widely used in different fields of Computer Science.

Teaching Methods

(not specified)

Prerequisites

Basic knowledge in linear algebra, stochastics, data structures and algorithms.

Examination Methods

 

Written or oral exam (depending on class size)

In order to be admitted to the exam the students must participate actively in the lectures and tutorials

Credit Requirements

(not specified)

References

(not specified)

04IN2028-1 - Machine Learning & Data Mining

Bishop: Pattern Recognition and Machine Learning

Duda, Hart, Stork: Pattern Classification

Manning, Schütze: Foundations of Statistical Natural Language Processing

Use of this Module
  1. unmodified as Elective  -    BSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
  2. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
  3. unmodified as Elective  -    BSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Machine Learning & Data Mining
  4. unmodified as Elective  -    MSc Computer Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
  5. unmodified as Elective  -    MSc Computer Science 2017  -    Major subject computer science  -    Data and Knowledge Engineering  -    Machine Learning & Data Mining
  6. unmodified as Elective  -    MSc Computer Science 2017  -    Major subject computer science  -    Software Engineering  -    Machine Learning & Data Mining
  7. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
  8. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in Computational Visualistics or computer science  -    Machine Learning & Data Mining
  9. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics  -    Machine Learning & Data Mining
  10. unmodified as Elective  -    MSc Computational Visualistics 2017  -    Mandatory elective courses in theoretical computer science and mathematics or natural and social sciences  -    Machine Learning & Data Mining
  11. unmodified as Elective  -    MSc Information Systems 2017  -    Mandatory elective courses Application Systems in Business and Administration  -    Machine Learning & Data Mining
  12. unmodified as Elective  -    MSc Web Science 2017  -    Mandatory elective courses Computer Science  -    Machine Learning & Data Mining
Responsible / Organizational Unit
Staab, Steffen / Institute for Computer Science
Additional Information

(not specified)

Last change
Apr 24, 2018 by Frey, Johannes
Last Change Module
Jul 25, 2012 by Frey, Johannes