Artificial Intelligence Prof. Dr. Joerg Hoffmann, Prof. Dr. Jana Koehler Summer Semester 2021

News

17.04.2021

First exercise sheet

Dear students,

As mentioned in the lecture on Thursday, the first exercise sheet has now been published. This exercise sheet is completely integrated in Moodle. You can work on it until midnight on 25th of April. More information can be found on the first sheet... Read more

Dear students,

As mentioned in the lecture on Thursday, the first exercise sheet has now been published. This exercise sheet is completely integrated in Moodle. You can work on it until midnight on 25th of April. More information can be found on the first sheet (CMS in the "Materials" section). Any quizzes in Moodle must always be submitted by every student individually. The groups do not matter here although you are allowed to discuss the questions with others.


Since all members of the group must however be assigned to the same tutorial, you should wait forming groups until you are assigned to a tutorial. This will be done on Monday. More information about the submission groups will follow once you have been assigned to your tutorials.

All the best

Your AI-Team

15.04.2021

Tutorial preference deadline

Dear students,

as many students would like to attend the AI lecture this year, we kindly ask those who have registered but have already decided not to attend the lecture to cancel their registration. This will make it much easier for us to plan the... Read more

Dear students,

as many students would like to attend the AI lecture this year, we kindly ask those who have registered but have already decided not to attend the lecture to cancel their registration. This will make it much easier for us to plan the tutorials.

We also ask you to remember that you can only enter your tutorial time preferences on your personal page in the CMS until midnight the 18th of April. If you have not saved your preferences, you will be randomly assigned to a tutorial. Please also check if your current preferences are still correct.

All the best,

Your AI-Team

 

13.04.2021

Link to the textbook

Dear students,

 

yesterday, there was an issue with the book link on the lecture slides. This is the correct link:

https://www.pearson-studium.de/drm/reader/nu/code/t92ffgjfzg33xt6c9rhulc53vyhvar5w

Nevertheless, you should be in the uni vpn while... Read more

Dear students,

 

yesterday, there was an issue with the book link on the lecture slides. This is the correct link:

https://www.pearson-studium.de/drm/reader/nu/code/t92ffgjfzg33xt6c9rhulc53vyhvar5w

Nevertheless, you should be in the uni vpn while accessing the book. We also updated the slides which you can find in the “Materials” section in the CMS.

 

All the best,
Your AI-Team

12.04.2021

Lectures this week in Zoom

Dear all,
 
due to the large number of sign ups to the AI lecture, we have decided to move the lectures (at least for this week) to Zoom. The new link for the lectures can be found in the CMS calendar in the corresponding calendar entry.
 
All the... Read more
Dear all,
 
due to the large number of sign ups to the AI lecture, we have decided to move the lectures (at least for this week) to Zoom. The new link for the lectures can be found in the CMS calendar in the corresponding calendar entry.
 
All the best
Your AI-team
08.04.2021

First lecture and reminder

Dear students,


a few more brief details. The first lecture on Monday 12th of April will take place. We will record this and all subsequent lectures and make them available to you. This way, you will be able to watch them again if there is a clash of... Read more

Dear students,


a few more brief details. The first lecture on Monday 12th of April will take place. We will record this and all subsequent lectures and make them available to you. This way, you will be able to watch them again if there is a clash of dates.

Note that to participate in this course you must register by midnight on 16th of April.

You can also enter your tutorial preferences in the CMS until midnight on 18th of April. If you do not enter any preferences, you will randomly be assigned to a tutorial.

 

All the best,

Your AI-Team

06.04.2021

Lectures from Prof. Koehler in MS Teams

Dear students,
 
The lectures from the Chair of Jana Koehler will take place in MS Teams. To participate in the lectures, you will need to join the "Artificial Intelligence lecture" Team in MS Teams. You can join this team by using the pin code which you can... Read more
Dear students,
 
The lectures from the Chair of Jana Koehler will take place in MS Teams. To participate in the lectures, you will need to join the "Artificial Intelligence lecture" Team in MS Teams. You can join this team by using the pin code which you can find in the timetable entry of the first lecture on the 12th of April.
 
All the best,
Your AI-Team
Show all
 

Artificial Intelligence

This course offers a general introduction into the field of Artificial Intelligence (AI), its history, key assumptions, paradigms, concepts, and fundamental methods. Students learn to master and apply techniques developed in the fields of intelligent agents, search algorithms and game playing, knowledge representation, logical reasoning and deduction, planning, constraint reasoning, machine learning, and reasoning under uncertainty. We explain how and when these methods work and for which problem classes they are suitable to successfully build AI systems. With the knowledge acquired in this course, students are well-prepared to successfully attend the many special lectures on AI offered at UdS or to write their Bachelor or Master thesis in the field of AI.



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