News
Re-exam Points & GradesWritten on 21.10.20 by Joris Nix Dear students, we uploaded the points and the grades of the re-exam. You can find them on your personal status page. Dear students, we uploaded the points and the grades of the re-exam. You can find them on your personal status page. Best regards, |
Re-exam InspectionWritten on 19.10.20 (last change on 19.10.20) by Joris Nix Dear students,
In case you register for… Read more Dear students,
In case you register for the exam inspection, please note that it is absolutely necessary for you to bring your own protection mask with you. Students who have a doctor’s certificate that they cannot wear protection masks have to bring their own face shields and wear these instead of a mask.
Update: Typo in location, the lecture hall HS001 is obviously in building E1.3. |
Reminder: Re-examWritten on 24.09.20 by Joris Nix Dear students, as already stated, the re-exam will take place in E2.2 Günter-Hotz Lecture Hall on October 20, 2020 from 10:00 am - 12:00 pm. The registration via HISPOS is again open until one week before the re-exam. Note, that registrations for the original re-exam are kept (so you manually have… Read more Dear students, as already stated, the re-exam will take place in E2.2 Günter-Hotz Lecture Hall on October 20, 2020 from 10:00 am - 12:00 pm. The registration via HISPOS is again open until one week before the re-exam. Note, that registrations for the original re-exam are kept (so you manually have to deregister if you do not wish to take the re-exam anymore). For more information, please refer to the corresponding e-mail "[Pruefungsanmeldung] Wichtig: Nachklausuren des WS 19/20 / re-exams of WS 19/20" from Ms. Kraska. In addition to the official HISPOS registration, the CMS registration for the re-exam is open again as well. You are able to register until October 12, 2020 23:59 pm. We will provide you in time with additional information regarding the procedure of the re-exam. In case you have any questions, please use the forum or send me an e-mail. Best regards, |
Re-exam UpdateWritten on 23.04.20 by Joris Nix Dear students, Dear students, |
Re-exam cancelled!Written on 16.03.20 by Joris Nix Dear students, |
Reminder: Re-exam registrationWritten on 09.03.20 by Joris Nix Dear students, |
Re-exam InformationWritten on 25.02.20 by Joris Nix Dear students, Dear students,
In case you have any questions, please use our forum. Best regards, |
Exam Points & GradesWritten on 12.02.20 by Joris Nix Dear students, |
Exam InspectionWritten on 10.02.20 by Joris Nix Dear students, Dear students,
The cheat sheets which you handed in with the exam can be taken in the exam inspection. |
Update: Exam LocationWritten on 06.02.20 by Joris Nix Dear students, We are sorry for any inconveniences. |
Exam LocationWritten on 05.02.20 (last change on 05.02.20) by Joris Nix Dear students, |
Qualis Course EvaluationWritten on 31.01.20 by Joris Nix Dear students, |
Monday 3.2.: Exam Questions, Feedback for Future Iterations of EDSAIWritten on 30.01.20 by Joerg Hoffmann Dear students, Dear students, |
Research Group Presentation Today!Written on 30.01.20 by Joerg Hoffmann Dear students, today's lecture will consist of presentations of the research groups of the four lecturers. Each lecturer will give a 20 minute overview of/glimpse into the research we are doing! Hope to see many of you there today, Jörg |
Exam InformationWritten on 22.01.20 (last change on 22.01.20) by Joris Nix Dear students, our upcoming exam will take place in E1.3 Lecture Hall 002 and E2.5 Lecture Hall 002 (math building) on February 6, 2020 from 12 - 2 PM. Dear students, our upcoming exam will take place in E1.3 Lecture Hall 002 and E2.5 Lecture Hall 002 (math building) on February 6, 2020 from 12 - 2 PM.
In case you have any questions, please use our forum. Best regards, |
Assignment 6: Update Virtual MachineWritten on 05.12.19 by Joris Nix Dear students, for this weeks assignment and some of the upcoming lectures, you have to update your virtual machine. For this, follow these instructions:
Dear students, for this weeks assignment and some of the upcoming lectures, you have to update your virtual machine. For this, follow these instructions:
In case you have problems, please use the forum. Best regards, |
Accessibility of course materialsWritten on 25.11.19 (last change on 25.11.19) by Joris Nix Dear students, please note that the course materials about autonomous driving will only be accessible while logged into the CMS. Best regards, |
Assignment 2: Correction of PointsWritten on 15.11.19 by Joris Nix Dear students, we just noticed that assignment sheet 2 has a total of 40 points. Since we want all assignments to have 20 points, we will halve the points of each exercise. Best regards, |
Assignment 1Written on 31.10.19 (last change on 31.10.19) by Joris Nix Dear students, Dear students,
Use our forum to discuss the exercises, ask questions, and help your fellow students. However, sharing complete solutions is not allowed. Best regards, |
Introductory lectures PythonWritten on 25.10.19 by Joris Nix Dear students, Dear students, Note: The lecture hall E1 3, 002 only contains a limited number of power supply socket at the sides. Therefore, make sure to charge your laptop in advance. Best regards, |
Laptop required for Assignment Sheet 0Written on 21.10.19 by Joris Nix Dear students, please bring your laptop to your tutorial to be able to work on assignment sheet 0. The assignment sheet deals with the installation and usage of Vagrant, Virtualbox, and Jupyter Notebook. Since this setup requires a stable Internet connection and takes some time, we recommend to do… Read more Dear students, please bring your laptop to your tutorial to be able to work on assignment sheet 0. The assignment sheet deals with the installation and usage of Vagrant, Virtualbox, and Jupyter Notebook. Since this setup requires a stable Internet connection and takes some time, we recommend to do this setup beforehand. A guide on how to setup the systems can be found on our instructions page. Best, |
Tutorial Assignment and Assignment 0Written on 21.10.19 (last change on 28.11.19) by Joris Nix Dear students, we just assigned you to your tutorials. You can check your tutorial slot on the personal status page. Furthermore, the very first assignment sheet will be released today, at 12:00 noon. This assignment sheet covers the installation and usage of the systems we will use throughout… Read more Dear students, we just assigned you to your tutorials. You can check your tutorial slot on the personal status page. Furthermore, the very first assignment sheet will be released today, at 12:00 noon. This assignment sheet covers the installation and usage of the systems we will use throughout the lecture. The first tutorials will be held this week already. They are intended to get acquainted with your tutor and your fellow students. In addition, you can start working on the first assignment. The location of all tutorials is the seminar room 3.06 in building E1 1. Best, |
Elements of Data Science and Artificial Intelligence
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.