[ 536AIBAHO1V20 ] VL Hands-on AI I

Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B1 - Bachelor's programme 1. year (*)Artificial Intelligence Johannes Brandstetter 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Artificial Intelligence 2020W
Objectives Hands-on AI I provides a first direct contact with various AI approaches (no previous knowledge is required). The focus of this course is mainly put on Artificial Neural Networks and Deep Learning. Objectives are practical applications and getting an overview of Deep Learning approaches. All of the shown techniques will be taught in much greater detail later in the studies.
  • Handling and understanding of different kinds of data sets
  • Visualization, dimensionality reduction and clustering of data
  • Moving from Linear Regression to Logistic Regression and Artificial Neural Networks
  • Understanding gradient descent
  • Using Deep Learning frameworks like PyTorch
  • Playing around with the first Artificial Neural Networks
  • Introducing Convolutional Neural Networks
  • Tips and tricks for making networks learn (batch normalization, dropout, transfer learning, etc.)
Criteria for evaluation Online Exams
Language English
Changing subject? No
Corresponding lecture in collaboration with 536AIBAHO1U20: UE Hands-on AI I (1.5 ECTS) equivalent to
536AIBAHO1K19: KV Hands-on AI I (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Direct assignment