Introduction to AI I (Summer Semester 2025)
Instructor: Prof. Dr. Dr. Marco Ragni
Assistant: --
Contents: Introduction to the field of Artificial Intelligence covering the following topics:
- Intelligent Agents
- Problem Formulation and Problem Types
- Problem Solving through Search
- Problem Solving through Optimization
- First-Order Logic, Inferences, and Planning
- Probabilistic Methods
- Neural Networks
- Information Theory
- Decision Tree Learning
Learning Objectives: The students will know and understand selected methods of Artificial Intelligence and be able to apply these to selected problems. They will apply methods from mathematics in the context of Artificial Intelligence.
Prerequisites: Basic knowledge of mathematics
Target Group:
- Mandatory Groups: B_InEn4, B_InET4, B_InMa4, B_InMB4, B_InOR4, B_InPh4, B_InPs4, B_InWW4, M_BTBT2, M_BTMT2
- Elective-Mandatory Groups: B_AICG4, B_AIES4, B_AIMI4, B_AIVS4, B_AU__4, B_CC__6, B_MTIP4, B_MTMI4, B_MT__6, B_SK1_6, B_SK2_6, D_MBDP8, M_AE__2, M_AIIM2, M_AIPV2, M_BI__2, M_CS__2, M_HF__2, M_IG__2, M_MaIn2, M_SK__4, M_WE__2
Course Link: OPAL
Lecture
Time: Monday (weekly), 11:30 - 13:00
Location: 1/305 (A10.305)
