Elements of Data Science and Artificial Intelligence Prof. Dr. Jens Dittrich, Prof. Dr. Jörg Hoffmann, Thorsten Klößner, Prof. Dr. Bernt Schiele, Dr. Sebastian Schuster Basic Lecture, 9 CP, Winter Semester 2022

News

30.11.2022

Mistake on Assignment 02

Hi all,

Unfortunately, we found a mistake in Exercise 4 of Assignment 2 : Entry 7 should be in Box 2 instead of Box 0.  The revised version has been uploaded to the material section. Since it is close to the deadline for the submission, we will accept answers for... Read more

Hi all,

Unfortunately, we found a mistake in Exercise 4 of Assignment 2 : Entry 7 should be in Box 2 instead of Box 0.  The revised version has been uploaded to the material section. Since it is close to the deadline for the submission, we will accept answers for both versions of the questions.
Sorry for the confusion.

21.11.2022

Team creation deadline extended

Hi all,

For your convenience, the deadline to creat a team for the assignment sheets has been extended to this Wednesday, same as the deadline to submit assignment 01.

21.11.2022

Assignment 01 - revised

Hi All,

As discussed on the Forum, there was an error in Assignment 01. The revised version has been uploaded.
Thank you for your attention.

21.11.2022

No lecture today, Nov 21st

Dear students,

unfortunately, I have been sick since last Saturday. Therefore I won't be able to give the lecture today.

Please watch last year's recording:
https://youtu.be/rQ2svMdokEs
(auto-translate subtitles are enabled)

We will continue from there... Read more

Dear students,

unfortunately, I have been sick since last Saturday. Therefore I won't be able to give the lecture today.

Please watch last year's recording:
https://youtu.be/rQ2svMdokEs
(auto-translate subtitles are enabled)

We will continue from there next Thursday.


Best regards,

Jenns Dittrich

08.11.2022

Team grouping for assignment sheets

Hi all,

The deadline for team grouping is approaching and the first team assignment sheet will be released next week. Please post on the forum if you are still looking for teammates. Each team should have two to three members.

 

08.11.2022

Tutorial cancelled today

Hi all,

In case you missed Leonard's email, he is sick today and cannot attend the tutorial today. If you have any problems with your VM installation, please make use of the office hour or post questions on the forum.

07.11.2022

Office hour on Tuesday and Thursday

Hi all,

We have now set up an additional office hour on Thursday (14:00-15:00 E1.3 SR015) in addition to the one on Tuesday (14:00-15:00 E1.3 SR016). If you have any problems setting up your virtual machines, you can ask the tutors during the office hours in... Read more

Hi all,

We have now set up an additional office hour on Thursday (14:00-15:00 E1.3 SR015) in addition to the one on Tuesday (14:00-15:00 E1.3 SR016). If you have any problems setting up your virtual machines, you can ask the tutors during the office hours in addition to the tutorial sections.

05.11.2022

Tutorials distributed

Hi all

The tutorial slots have just been distributed, taking into account your preference and the number of students per tutorial. If you really want to change to another tutorial, please post on the forum to look for someone who can exchange with you. The... Read more

Hi all

The tutorial slots have just been distributed, taking into account your preference and the number of students per tutorial. If you really want to change to another tutorial, please post on the forum to look for someone who can exchange with you. The tutorials will start this week. 

26.10.2022

Tutorial Preference

Hi all,

The tutorial timeslots have been updated. Please set or update your tutorial preference on your personal status page in the CMS. The deadline is 5th November. You will be assigned a tutorial shortly afterward. 

The assignment sheets will be handed in... Read more

Hi all,

The tutorial timeslots have been updated. Please set or update your tutorial preference on your personal status page in the CMS. The deadline is 5th November. You will be assigned a tutorial shortly afterward. 

The assignment sheets will be handed in in groups of three students. Please also register your team grouping on the CMS. The deadline is 14th November.

The first lecture will be held tomorrow, 27th October, at 12:15 at E1.3 HS002.  You can refer to here for organization matter.

 

 

 

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Elements of Data Science and Artificial Intelligence

 

You will find all administrative information here: Organization

 

Artificial intelligence is a long-standing branch of computer science concerned with the design of algorithms and systems exhibiting intelligent behavior. Data science is a comparatively young area concerned with the extraction of knowledge and insights from structured and unstructured data. Increasingly, the real power of computer science applications lies in combining the two, exploiting insights from data to take intelligent decisions.

Both artificial intelligence (AI) and data science (DS) are complex multi-disciplinary scientific fields. This course provides an overview of central concepts and ideas, structured and motivated by prominent applications requiring elements from both DS and AI. We start with a brief introduction to machine learning (ML), which lies at the heart of the intersection between DS and AI. We then cover game playing, explaining the search and learning techniques essential to recent successes in Go and Chess. We cover autonomous driving as a prominent application of sensing, system design, control, and learning. We cover dialogue systems and the associated learning and reasoning techniques for natural language processing. We finally cover the data processing techniques required to enable big data.

The aim is for students to understand the scope of DSAI and to obtain intuitions about its central algorithmic elements. Detailed technical expositions and analyses of these elements are not covered; these are the subject of later more specialized courses.

The course is accompanied by exercises, covering technical concepts through examples, as well as posing simple programming exercises (suitable for first-term students) in the Python language. This course also contains a quick introduction to Python.



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