Elements of Data Science and Artificial Intelligence Prof. Dr. Vera Demberg, Prof. Dr. Jens Dittrich, Prof. Dr. Jörg Hoffmann, Prof. Dr. Bernt Schiele Basic Lecture, 9 CP, Winter Semester 2019

News

23.04.2020

Re-exam Update

Dear students,

the new date for the re-exam is set. The re-exam will take place in E2.2 Günter-Hotz Lecture Hall on October 20, 2020 from 10:00 am - 12:00 pm.

Regarding the registration for the new re-exam, we are still waiting for official information. We... Read more

Dear students,

the new date for the re-exam is set. The re-exam will take place in E2.2 Günter-Hotz Lecture Hall on October 20, 2020 from 10:00 am - 12:00 pm.

Regarding the registration for the new re-exam, we are still waiting for official information. We will keep you updated as soon as we have any new information.
The modalities for the new re-exam are probably the same as for the first exam and the original re-exam. However, we will give you all necessary information timely before the exam.
In case you have any questions, please use the forum.

Thank you for your understanding.

Best regards,
Joris

16.03.2020

Re-exam cancelled!

Dear students,

due to the current situation regarding the Coronavirus, the re-exam tomorrow will be cancelled.
We will keep you updated with any new information concerning the re-exam.

Best regards,
Joris

09.03.2020

Reminder: Re-exam registration

Dear students,

the registration for the re-exam closes tomorrow. If you want to participate in the exam, please register in LSF/HISPOS and CMS by tomorrow.

Best regards,
Joris

25.02.2020

Re-exam Information

Dear students,

the re-exam will take place in E2.2 Günter-Hotz Lecture Hall on March 17, 2020 from 10:00 am - 12:00 pm.
The re-exam will start sharp at 10:00 am and takes 120 minutes. Therefore, please be there a few minutes in advance so we can start and finish... Read more

Dear students,

the re-exam will take place in E2.2 Günter-Hotz Lecture Hall on March 17, 2020 from 10:00 am - 12:00 pm.
The re-exam will start sharp at 10:00 am and takes 120 minutes. Therefore, please be there a few minutes in advance so we can start and finish on time.

The modalities for the re-exam are the same as for the first exam. The only difference is that DSAI students are now able to register via LSF/HISPOS and do not need to get a registration form. For completeness, here are the all the necessary informations again:

  • You are admitted to take the re-exam if you have at least 50% of the total points on the assignment sheets (concretely, at least 110 out of 220 points) and at most two assignments with zero points.
  • In case you are admitted to take the re-exam, you have to register for it:
  1. ​​LSF/HISPOS: You have to individually register for the re-exam using the LSF/HISPOS system (the registration for the first exam does not  count as a registration for the re-exam!). The registration is now also possible for DSAI students.
    In case there are any problems with the examination registration, please contact us as soon as possible. The time to register ends on March 10 (one week before the re-exam according to examination regulations). A registration after the deadline will not be possible and no exceptions will be made.
  2. Course Management System: Please register for the re-exam on your personal status page in our CMS system. This registration lets us know how many of you want to participate in the re-exam. The registration will also end on March 10.
  • You have to use a non-erasable pen with black or blue ink.
  • The re-exam and the exercise descriptions will be in English. Therefore, we encourage you to write the re-exam in English. However, you are also allowed to write in German. You can bring a dictionary as well.
  • You are allowed to bring two double-sided sheets of A4-paper containing handwritten notes as cheat sheets. This explicitly excludes printouts.
  • A non-programmable calculator is allowed.
  • Regarding the preparation for the re-exam, refer to the file relevant for exam, which contains an overview of the relevant parts of each lecture. In particular, the relevant content for the re-exam is the same as for the first exam. Furthermore, the first exam and the exercises on the assignment sheets should give a very good impression of how the re-exam exercises might look like.

In case you have any questions, please use our forum.

Best regards,
Joris

12.02.2020

Exam Points & Grades

Dear students,

we uploaded the points and the grades of the exam. You can find them on your personal status page.
The exam inspection will take place tomorrow from 12 to 2 PM. You can still register for the exam inspection until 23:59 this evening.

Best... Read more

Dear students,

we uploaded the points and the grades of the exam. You can find them on your personal status page.
The exam inspection will take place tomorrow from 12 to 2 PM. You can still register for the exam inspection until 23:59 this evening.

Best regards,
Joris

10.02.2020

Exam Inspection

Dear students,

the exam inspection will take place in the seminar room 3.06 in building E1.1 on Thursday, 13.02.2020, from 12 to 2 PM.
To better schedule the exam inspection, please register for one of the following slots on your personal status page until... Read more

Dear students,

the exam inspection will take place in the seminar room 3.06 in building E1.1 on Thursday, 13.02.2020, from 12 to 2 PM.
To better schedule the exam inspection, please register for one of the following slots on your personal status page until Wednesday, 12.02.2020, 23:59 PM.

  • 12:00 - 12:30
  • 12:30 - 13:00
  • 13:00 - 13:30
  • 13:30 - 14:00

The cheat sheets which you handed in with the exam can be taken in the exam inspection.

Best regards,
Joris

06.02.2020

Update: Exam Location

Dear students,

due to a problem regarding the lecture halls in E2.5, the exam will take place in E2.5 Lecture Hall 001 instead of Lecture Hall 002.
It is in the same building right beside each other.

We are sorry for any inconveniences.

Best regards,
Joris

05.02.2020

Exam Location

Dear students,

the exam will take place solely in E2.5 Lecture Hall 002 (math building) tomorrow from 12 - 2 PM.
Please be there a few minutes in advance, such that we can start and finish on time.

Good luck and see you tomorrow!

Best regards,
Joris

31.01.2020

Qualis Course Evaluation

Dear students,

we uploaded the Qualis course evaluation to our materials section.

Best regards,
Joris

30.01.2020

Monday 3.2.: Exam Questions, Feedback for Future Iterations of EDSAI

Dear students,

in the lecture next monday, we will:

1. Give you the opportunity to ask questions about the exam.

2. Ask for your feedback how to improve future iterations of this course. We will hand out printed questionnaires, give you time to fill these... Read more

Dear students,

in the lecture next monday, we will:

1. Give you the opportunity to ask questions about the exam.

2. Ask for your feedback how to improve future iterations of this course. We will hand out printed questionnaires, give you time to fill these in, and collect them when you leave.

Item 1, we presume, is very important to you. Please take this opportunity and prepare for what you would like to ask.

Item 2 is extremely important to us. Please think a bit and be prepared to give us constructive feedback.

Best regards,
Your lecturers

30.01.2020

Research Group Presentation Today!

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

22.01.2020

Exam Information

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.
The exam will start sharp at 12:00 and takes 120 minutes. Therefore, please be there a few minutes in advance... Read more

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.
The exam will start sharp at 12:00 and takes 120 minutes. Therefore, please be there a few minutes in advance so we can start and finish on time.
Here are some more informations regarding the exam:

  • You are admitted to take the exam if you have at least 50% of the total points on the assignment sheets (concretely, at least 110 out of 220 points) and at most two assignments with zero points.
  • In case you are admitted to take the exam, you have to register for it: 
    1. LSF/HISPOS: If you are a Data Sciene and Artificial Intelligence student, you cannot use the LSF/HISPOS system to register because the course is not yet integrated into the system. Therefore, you have to go Ms. Sum from the examination office and get a registration form which you hand in in Prof. Dittrichs secretary office (E1.1 Room 3.12). 
      For other courses of study (computer science, media informatics, cybersecurity) the registration via LSF/HISPOS is currently being activated. Therefore, the registration should be possible within a few days. 
      Students doing a teacher training program (Lehramt) in computer science need to clarify with the examination office, if they obtain credits for the examination (Prüfung einbringen können). We advise to get a registration form (Schein) from the examination office.
      In case there are any problems with the examination registration, please contact us as soon as possible. The time to register ends on January 30 (one week before the exam according to examination regulations) for both, online and manual registration. A registration after the deadline will not be possible and no exceptions will be made.
    2. Course Management System: Please register for the exam on your personal status page in our CMS system. This registration lets us know how many of you want to participate in the exam and with that, how to distribute you to the different lecture halls. The registration will end on February 4. On the following day, we will announce in which lecture hall you write the exam.
  • You have to use a non-erasable pen with black or blue ink.
  • The exam and the exercise descriptions will be in English. Therefore, we encourage you to write the exam in English. However, you are also allowed to write in German. You can bring a dictionary as well.
  • You are allowed to bring two double-sided sheets of A4-paper containing handwritten notes as cheat sheets. This explicitly excludes printouts.
  • A non-programmable calculator is allowed.
  • Regarding the preparation for the exam, refer to the file relevant for exam.txt, which contains an overview of the relevant parts of each lecture. Furthermore, the exercises on the assignment sheets should give a very good impression of how the exam exercises might look like.
     

In case you have any questions, please use our forum.

Best regards,
Joris

05.12.2019

Assignment 6: Update Virtual Machine

Dear students,

for this weeks assignment and some of the upcoming lectures, you have to update your virtual machine. For this, follow these instructions:

  • download the new Vagrantfile from our materials section
  • copy the new Vagrantfile into your virtual... Read more

Dear students,

for this weeks assignment and some of the upcoming lectures, you have to update your virtual machine. For this, follow these instructions:

  • download the new Vagrantfile from our materials section
  • copy the new Vagrantfile into your virtual machine folder (i.e. replace the old Vagrantfile with the new one)
  • execute the following command: vagrant up --provision-with miniconda,python-packages
  • note: the update might take some time

In case you have problems, please use the forum.

Best regards,
Joris

25.11.2019

Accessibility of course materials

Dear students,

please note that the course materials about autonomous driving will only be accessible while logged into the CMS.

Best regards,
Joris

15.11.2019

Assignment 2: Correction of Points

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.
We are sorry for any inconveniences.

Best regards,
Joris

31.10.2019

Assignment 1

Dear students,

we just uploaded Assignment 1 in the materials sections. The assignment is a zip file consisting of a Jupyter Notebook and a Python file containing the unit tests. You have to move both files into your virtual machine to work on the assignment. In... Read more

Dear students,

we just uploaded Assignment 1 in the materials sections. The assignment is a zip file consisting of a Jupyter Notebook and a Python file containing the unit tests. You have to move both files into your virtual machine to work on the assignment. In addition, please consider the following points:

  • Upload your solutions to the CMS under your personal status page in groups of three students until November 7, 2019 12:00 noon. You can upload your solutions as often as needed. Only the last submission counts.
  • Make sure that your submission contains the names and matriculation numbers of all team members.
  • Exactly one team member should upload the solution.
  • Your submission should only contain the Jupyter Notebook assignment01.ipynb
  • Late submissions will not be graded.

Use our forum to discuss the exercises, ask questions, and help your fellow students. However, sharing complete solutions is not allowed.
 

Best regards,
Joris

25.10.2019

Introductory lectures Python

Dear students,

next week on Monday, 28 October 2019, and on Thursday, 31 October 2019, we will have the introductory lectures for Python. The lectures will contain a hands-on part, where you can try out the principles and and techniques shown to you.
In order to... Read more

Dear students,

next week on Monday, 28 October 2019, and on Thursday, 31 October 2019, we will have the introductory lectures for Python. The lectures will contain a hands-on part, where you can try out the principles and and techniques shown to you.
In order to participate, please bring your laptop to the lectures and make sure that the systems (VirtualBox, Vagrant) are working.

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,
Joris

21.10.2019

Laptop required for Assignment Sheet 0

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... 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,
Joris

21.10.2019

Tutorial Assignment and Assignment 0

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... 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,
Joris

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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.



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