Module Number

INF3155
Module Title

Artificial Neural Networks
Type of Module

Elective Compulsory
ECTS 6
Work load
- Contact time
- Self study
Workload:
180 h
Class time:
60 h / 4 SWS
Self study:
120 h
Duration 1 Semester
Frequency Irregular
Language of instruction German and English
Type of Exam

Internship performance including lecture and essay

Lecture type(s) Practical Course
Content

Students become familiar with neural network simulators (JavaNNS, Weka, Matlab) and various network models and training methods in teams of about 3 students, and solve a real pattern recognition problem in teams of 2-3 students in the second half of the lab.

Objectives

Students learn to apply the models from the lecture to a larger real-world problem. Students will also learn problem analysis, teamwork, time management, documentation, and presentation techniques.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Prerequisite for participation INF3154 Introduction to Neural Networks
Lecturer / Other Zell
Literature

Wird in der Vorbesprechung ausgeteilt.

Last offered unknown
Planned for currently not planned
Assigned Study Areas BIOINFM2510, INFM2510, INFM3110, MDZINFM2510, MEINFM3210