@@ -18,16 +18,17 @@ The AI systems projects are designed to provide hands-on experience for the topi
The AI-1 Systems Project focuses on the symbolic methods discussed in the AI-1 lecture (search, constraint satisfaction, SAT solving, semantic web, planning)
and the AI-2 Systems Project focuses on the subsymbolic methods covered by the AI-2 lecture (Bayesian networks, (hidden) markov problems, machine learning, ...).
Each AI systems project is worth 10 ECTS.
Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies (if you need two projects, you can also take both, but you cannot start both at the same time).
Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies.
If you need two projects, you can also take both, but you cannot start both at the same time.
**Requirements:** There are no formal requirements, but we strongly recommend
that you take the AI lecture (taking it in parallel should also work).
Furthermore, you should have substantial programming experience (the programming language is not important) because you will have to program a lot.
##### What happens in the project?
The project will consist of several large problems (≈6), which you will work on individually or in small teams
The project will consist of several large problems (≈6), which you will work on individually or in small teams.
Each problem will require a substantial amount of programming work - after all the project is worth 10 ECTS.
You can take look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/).
You can take look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/) to get a first impression.
The first problem is a warm-up problem, which you have to solve alone, so that you can judge whether the project works for you.
The remaining problems are intended to be solved in teams of size 2, but we also accept it if you prefer to work alone.
Furthermore, you will have to write a report on one of the problems and have a small presentation (or rather, a section of a presentation together with other people).
...
...
@@ -43,11 +44,11 @@ Anyway, here is the idea:
* Once we have admitted you, we will have an admin meeting, in which we will discuss more details about the project.
Check the StudOn forum for information on the time of the next admin meeting.
After the admin meeting, you should decide if you want to take the AI-1 systems project or the AI-2 systems project.
* Then you will get the warm-up problem and can get started.
* Then you can get started with the warm-up problem.
The warm-up problem has to be solved individually and is a requirement to take the project.
It is also an opportunity for you to see if the project works for you. You can still decide to drop the project when you work on the warm-up problem.
It is also an opportunity for you to see if the project works for you. You can still decide to drop the project after starting the warm-up problem.
* Once you have solved the warm-up problem, you can sign up to solve the other ≈5 problems. These are intended to be solved in teams of size two, but you can also do it alone if you prefer.
Each of the other problems is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
Each problem is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
* You will have to a give a presentation on one of the problems. We will use some sort of sign-up process for that as well.
* You will have to write a report on one of the problems (can be the one you present). Furthermore, we will simulate double-blind peer review,
which means that you will have to write 3 anonymous reviews for other students' reports.
@@ -19,16 +19,17 @@ The AI systems projects are designed to provide hands-on experience for the topi
The AI-1 Systems Project focuses on the symbolic methods discussed in the AI-1 lecture (search, constraint satisfaction, SAT solving, semantic web, planning)
and the AI-2 Systems Project focuses on the subsymbolic methods covered by the AI-2 lecture (Bayesian networks, (hidden) markov problems, machine learning, ...).
Each AI systems project is worth 10 ECTS.
Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies (if you need two projects, you can also take both, but you cannot start both at the same time).
Generally, you can pick whichever project sounds more interesting to you/is more relevant for your studies.
If you need two projects, you can also take both, but you cannot start both at the same time.
**Requirements:** There are no formal requirements, but we strongly recommend
that you take the AI lecture (taking it in parallel should also work).
Furthermore, you should have substantial programming experience (the programming language is not important) because you will have to program a lot.
##### What happens in the project?
The project will consist of several large problems (≈6), which you will work on individually or in small teams
The project will consist of several large problems (≈6), which you will work on individually or in small teams.
Each problem will require a substantial amount of programming work - after all the project is worth 10 ECTS.
You can take look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/).
You can take look at the [problems from the previous iterations](https://kwarc.info/teaching/AISysProj/) to get a first impression.
The first problem is a warm-up problem, which you have to solve alone, so that you can judge whether the project works for you.
The remaining problems are intended to be solved in teams of size 2, but we also accept it if you prefer to work alone.
Furthermore, you will have to write a report on one of the problems and have a small presentation (or rather, a section of a presentation together with other people).
...
...
@@ -44,11 +45,11 @@ Anyway, here is the idea:
* Once we have admitted you, we will have an admin meeting, in which we will discuss more details about the project.
Check the StudOn forum for information on the time of the next admin meeting.
After the admin meeting, you should decide if you want to take the AI-1 systems project or the AI-2 systems project.
* Then you will get the warm-up problem and can get started.
* Then you can get started with the warm-up problem.
The warm-up problem has to be solved individually and is a requirement to take the project.
It is also an opportunity for you to see if the project works for you. You can still decide to drop the project when you work on the warm-up problem.
It is also an opportunity for you to see if the project works for you. You can still decide to drop the project after starting the warm-up problem.
* Once you have solved the warm-up problem, you can sign up to solve the other ≈5 problems. These are intended to be solved in teams of size two, but you can also do it alone if you prefer.
Each of the other problems is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
Each problem is offered once a semester. It's up to you if you want to do all of them in one semester or e.g. spread it over two semesters.
* You will have to a give a presentation on one of the problems. We will use some sort of sign-up process for that as well.
* You will have to write a report on one of the problems (can be the one you present). Furthermore, we will simulate double-blind peer review,
which means that you will have to write 3 anonymous reviews for other students' reports.
