direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Introduction to Artificial Intelligence

Winter school: January 6th to 31st, 2020

Course price: 1,950 Euros

18 hours of class sessions per week, 5 ECTS credit points

Registrations will open soon!

Lupe

Topic

Introduction to Artificial Intelligence and Robotics

Target group

Bachelor, Master, and Doctoral students with a technical background and interest in artificial intelligence and robotics

Learning Goal/Output

The goal of the course is that students gain an understanding of some of the fundamental methods and algorithms of AI, and an appreciation of how they can be applied to interesting practical problems. This aligns with the objectives of the ERC AMPLify Project in which the goal is to develop models for allocation problems in practice, to design mechanisms for such applications and analyze them. For example, one such application is the stable marriage assignment problem with allocation objectives such as egalitarian welfare and utilitarian welfare.

Course Components

Lectures, tutorials and lab exercises.

Short Description

Artificial Intelligence (AI) is about creating algorithms to perform tasks in a way that we believe is intelligent. AI & Robotics is about creating algorithms to make robots perform such tasks. Modern AI & Robotics 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. 

This course has three components: lectures, tutorials and lab exercises. 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 lab exercises will provide to the students the opportunity to develop a small project in some area of AI: social choice, fair division, learning, planning, theorem proving, etc. Students who complete the course will have an understanding of some of the fundamental methods and algorithms of AI, and an appreciation of how they can be applied to interesting practical problems.

Prerequisites

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

Specific to the course:

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.

Lecturers

Dr. Martin  Aleksandrov

Martin Aleksandrov obtained a Bachelor degree in Computer Science from Sofia University, Bulgaria. He also received a Master degree in Computer Science from Technical University Dresden, Germany. In addition, Martin obtained qualifications as Bachelor in Physics and Master in Probability Theory and Statistics from Sofia University, Bulgaria. He recently received his PhD in Computer Science from UNSW Sydney, Australia. Martin was an intern at Fondazione Bruno-Kessler (FBK in Trento, Italy) and Australian ICT Research Centre of Excellence (fka NICTA in Sydney, Australia). He also worked at NOVALINCS (fka CENTRIA in Lisbon, Portugal). He has won Computational Sustainability Outstanding Student Paper Award at 24th IJCAI 2015, Buenos Aires, Argentina, and Best Paper Award at 40th KI 2017, Dortmund, Germany.

 

Prof. Toby Walsh (subject to availability)

Toby Walsh is a leading researcher in Artificial Intelligence. He was named by the Australian newspaper as a "rock star" of Australia's digital revolution. He is Scientia Professor of Artificial Intelligence at UNSW, leads the Algorithmic Decision Theory group at Data61, Australia's Centre of Excellence for ICT Research, and is Guest Professor at TU Berlin. He has been elected a fellow of the Australian Academy of Science, and has won the prestigious Humboldt research award as well as the NSW Premier's Prize for Excellence in Engineering and ICT. He has previously held research positions in England, Scotland, France, Germany, Italy, Ireland and Sweden.

Schedule and Syllabus

You can find the syllabus for this course HERE

The "Berlin/Culture" time slots are reserved for the cultural activities included in the tuition fee, as well as for the additional tours and trips that we offer.

These activities are of course completely optional, should you want to use the time to explore the city by yourself, catch up on homework, or relax. You may find the syllabus useful when discussing with your home University whether the ECTS credits attainable for this course are accepted by them.

Winter school: January 6th to 31st, 2020

Course price: 1,950 Euros

18 hours of class sessions per week, 5 ECTS credit points

Registrations will open soon!

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions

Contact

Beth Sibly, Director
+49 30 4472 0230