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Term 2: Introduction to Artificial Intelligence

Tuition fee €1,890 per programme

The program price consists of the course/tuition fee (student or working professional, see details below) plus the registration fee (€60).

Student course/tuition fee: €1890
Working professional course/tuition fee: €2280

This course/tuition fee covers the course, course materials and a cultural program.

Registration fee €60 one-time

The registration fee is in addition to the course/tuition fee and covers the processing of your application. It is payable upon registration. Please note that the registration fee is non-refundable.

More information

tu-berlin.de/menue/summer_university 

Overview

Artificial Intelligence has made its way into our everyday language and news cycles. Yet, it is still hard to define what exactly an AI is. In this course, you will learn why. We will focus on several techniques associated with AI and give you an understanding of how they work and which kinds of problems they can solve. You will learn Planning, Optimization, Reasoning and Machine Learning. We will visit each of these fields based on practical tasks using the programming language Python.

The course will contain a combination of learning material (input slides and videos, programming tasks, and quizzes) and will focus on discussing individual questions, solutions and issues.

The course will be accompanied by a sequence of practical programming tasks that build on each other. The current plan is to work iteratively towards one cohesive project via multiple consecutive tasks. This may change slightly if didactic reasons require it. For example, it is possible that different fields of AI will be covered with different projects, if this reduces the overall programmatic complexity of solving the tasks for beginners.

Students will learn: *What Artificial Intelligence is and why it’s hard to come up with an exact definition
*What state space search is and how to select an appropriate Planning or Optimization algorithm
*How to represent and reason about the truthfulness of information programmatically
*How to derive statistical relations from a corpus of information using Data Science and Machine Learning
*To identify which field of AI is a promising approach to solve a given problem
*How to select and implement algorithms from all fields of AI using Python libraries

Apply now! Summer Term 2 2023
Application deadline
19 Jun 2023, 23:59:59
Central European Time
Notes
expired
Studies commence
17 Jul 2023
Apply now! Summer Term 2 2023
Application deadline
19 Jun 2023, 23:59:59
Central European Time
Notes
expired
Studies commence
17 Jul 2023