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Introduction to Artificial Intelligence, Certificate

  • Application Deadline
  • 28 days
    Duration
University rank #147 (QS) Berlin, Germany
The Introduction to Artificial Intelligence (AI) course will give students an understanding of the fundamental methods and algorithms of AI, and an appreciation of how they can be applied to interesting practical problems, via a number of toy examples. The secondary goal of the course is that students learn how to conduct independently research, developing solutions to simple project tasks.
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Overview

Artificial Intelligence (AI) is about creating algorithms to perform tasks in a way that we believe is intelligent. Modern AI algorithms play games (e.g. chess), prove theorems (e.g. verification), discover patterns in data (e.g. explanations), analyze complex sequences (e.g. DNA), make ``life or death’’ decisions (e.g. matching organs to patients), optimize distributions (e.g. food, refugees, housings), drive cars (e.g. Tesla), play soccer, etc. 

Many of these AI applications use a number of introductory algorithms and techniques, some of which are covered in the course. Examples of such preliminary methods are Depth-First Search, Breadth-First Search, Minimax Search, Tree Pruning, Backtracking Search, Simulated Annealing, Graph Plan, Decision Tree Learning and Perceptron Learning. Thus, students who complete the course will have an understanding of some of the fundamental methods and basic algorithms of AI.

Accreditation

5 ECTS

Detailed Programme Facts

  • Deadline and start date We did our best, but couldn't find the next application deadline and start date information online.
  • Programme intensity Full-time
    • Full-time duration 28 days
  • Credits
    5 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

Programme Structure

This course has three components: lecture, tutorial and project classes. The lectures will introduce selected basic topics such as search, game playing, decision making, planning, machine learning, and probabilistic reasoning and resource allocation (i.e. social choice). The tutorials will allow students to apply algorithms on simple "toy" examples. The projects will provide  the students with the opportunity to develop a small solution in some area of AI: social choice, fair division, learning, planning, theorem proving, etc.

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

The general prerequisites of the TU Berlin Winter University, are that candidates have B2 level English and at least one year of university experience.

Technological Requirements

1. Basic programming skills: C++ or Java or PHP or Prolog (advanced programming skills are not necessary)

2. Basic LaTeX skills: a type setting system

3. Basic knowledge: algorithms, mathematics.

Tuition Fee

  • International

    1950 EUR/full
    Tuition Fee
    Based on the original amount of 1950 EUR for the full programme and a duration of 28 days.
  • National

    1950 EUR/full
    Tuition Fee
    Based on the original amount of 1950 EUR for the full programme and a duration of 28 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Berlin

  • 836 - 1340 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

For more information please refer to our website for details: https://www.tu-berlin.de/menue/summer_university/scholarships/

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