feat: all pages can have same intro, exams guide

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# Buildings
Below you can find some information on the most important buildings. They are also shown to you at Erstie-Tag
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# Exam Preparation, Exams, Grading
Each course at ETH works slightly differently in this regard. Some courses offer a grade bonus for completing assignments during the semester,
while others don't. Others still have parts of the grade determined by project work or similar, while there is one course in particular that has exam-like optional quizzes twice
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Also see the [page on AI here](/guide/pretendintelligence).
### Summaries, Cheat Sheets
In the first semester in both subjects in which you can bring a summary, you need to be the author and in Discrete Maths, it even needs to be handwritten.
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if people have shared the LaTeX source files in case of Linear Algebra in the first Semester.
All my summaries that are on ComSol (apart from the one for DDCA) have the source code available [here](https://github.com/janishutz/eth-summaries)
### Old Exams
While studying with summaries is good to get an understanding of the topic, you should also practice using old exams, to familiarize yourself with the mode of exams
and to get a feeling for the difficulty of the exams.
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HIL can be a bit confusing. The HIL F41 and G41 rooms are best accessed through the main entrance,
which is the many doors to the right when walking from the bus stop into the atrium of HIL.
:::
## What if I am sick at an exam?
[This](https://www.ethz.ch/content/dam/ethz/common/docs/weisungssammlung/files-de/pruefungsplan.pdf) is the official ETH document for the exams.
It is also accessible as a link in MyStudies via the Session Examinations tab.
First of all, it is important that you don't go to an exam if you don't feel well enough to achieve a good score,
or if you have a contagious infection, as that would put the other students at risk.
If you ever have to miss an exam as a result of falling sick, these are the things you need to do.
### For end of term exams
In most cases, you need to contact the teaching team at least an hour before the start of the exam.
You can do that either via Email (from your ETH email) or by phone, telling them that you are sick.
Typically no doctor's note is required in these cases.
If you fall ill still before the end of the official de-registration period and know that you won't make it to the exam, simply de-register
### For session exams that are NOT part of a block
Contact the [exams office](mailto:exams@ethz.ch) from your ETH email address, or [call them](tel:+41446322068), both at least an hour before the start of the exam.
That's it, you are de-registered from the exam and you can simply sign up to the repetition exam.
If you fall ill still before the end of the official de-registration period and know that you won't make it to the exam, simply de-register
### For session exams that are part of a block
This is only relevant to the first year students at D-INFK.
You need to contact the [exams office](mailto:exams@ethz.ch) from your ETH email address, or [call them](tel:+41446322068), both at least an hour before the start of the exam.
Then, make a doctors appointment to get your doctors note. This is required to suspend an examination block.
As soon as you have that, email it to the exams office from your ETH email address.
You will be retaking the exam the following semester.
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---
title: Erstie Guide
---
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# Welcome to ETH!
::: warning DISCLAIMER
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# Use of Artificial Intelligence
::: details My bias in this topic {open}
Note that I am a biased in this topic, I very much like my freedom and I advocate for free and open source software and very much detest anything from Big Tech companies,
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# Quick Reference / Useful links
Find below a list of important links and other short info to get started at ETH more quickly
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# Masters
::: info
This section will be expanded once I reached the masters myself
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# Semester Planning
Whenever the course registration opens, make sure that you know what you want to do next semester,
and ideally what you want to do the next few semesters.
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For picking courses, you may want to read reviews of courses, which you can do on [CourseReview](https://coursereview.ch).
## What if I overcommitted?
You can drop courses *at any time* (apart from the basics courses, whose exams you have to sit in one go).
Thus, if you have bitten off a bit more than you can chew, drop one of the extra courses such that you are able to focus on the more important courses.
If you have gone past the official de-registration period, you can simply stop attending the course, if it doesn't have graded attendance.
In that case, don't sign up to the exam, and if you already have, there typically is a de-registration period for that as well, which for end of term examinations
is typically about two or three weeks before the end of the semester.
If you have also missed that, in most cases you have to contact the teaching team of the course, ideally on the day before the exam.
## Requirements for Bachelor
The CS Bachelor can be a bit confusing in terms of its requirements. I explained it as I would have hoped it had been to me when I started in HS24:
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# Semester 1
Chances are that if you are reading this, you are starting with ETH, so here a few important remarks:
- Make sure to keep up with the course content. Catching up after the semester ended is hard
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# Semester 2
Semester 2 is in my opinion (and the one of many people) the easiest semester in the entire Bachelor's programme for Computer Science.
This is why I would highly recommend doing at least a GESS subject in this semester already.
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# Semester 3
Semester 3 is an interesting semester in terms of the courses, ranging from well taught (Analysis II and TI) to atrocious (NumCS).
The same applies also to Semester 4, but the courses there are easier for many people.
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# Semester 4
Semester 4 is typically considered the second easiest semester and I agree.
While FMFP can be a bit of a challenge initially, the exams are very predictable.
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# Semester 5 and onwards
::: info
Will be expanded in the future, when I have completed this part of my studies
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# Student Life
## Food
On the ETH Zentrum Campus, there are *many* different restaurants and mensas to choose from.
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::: warning
This page is a work in progress and may contain errors, spelling and grammar errors, have omissions or other
:::
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# Core Subjects
## Autumn Semester
Coming soon
## Spring Semester
## Introduction to Machine Learning
- [Summary (EN)](https://github.com/janishutz/eth-summaries/blob/main/core/iml/main.pdf) Author: Robin Bacher
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# Electives
## Autonomous Mobile Robots
This course permits a four page cheat sheet and is part of D-MAVT
- [Cheat Sheet (EN)](https://github.com/janishutz/eth-summaries/blob/main/electives/amr/autonomous-mobile-robots-cheatsheet.pdf) Author: Janis Hutz
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# Summaries
I very much like to study with summaries. And since I write them anyway, this effort would be quite a waste if no other people can benefit from it.
This is why I provide all my summaries for you to use.
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# Semester 1
## Algorithms and Data Structures
A summary for the full course. Some examples were AI generated (in Tikz)
- [Algorithms & Datastructures Summary (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/algorithms-and-datastructures/ad-janishutz.pdf) Author: Janis Hutz
- [Summary (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/algorithms-and-datastructures/ad-janishutz.pdf) Author: Janis Hutz
## Linear Algebra
Still using my old Cheat-Sheet style
- [Linear Algebra Cheat-Sheet (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/linear-algebra/linAlg-janishutz.pdf) Author: Janis Hutz
- [Cheat-Sheet (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/linear-algebra/linAlg-janishutz.pdf) Author: Janis Hutz
## Introduction to Programming
A short overview of the most important concepts and pitfalls
- [Introduction to Programming Short summary (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/eprog/eprog-janishutz.pdf) Author: Janis Hutz
- [Short summary (EN)](https://github.com/janishutz/eth-summaries/blob/main/semester1/eprog/eprog-janishutz.pdf) Author: Janis Hutz
## Discrete Maths
Since my Cheat-Sheet isn't particularly great for this course, I have not published it on ComSol, but I am making it available here,
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# Semester 2
## Analysis I
My own cheat sheet is not all that great in terms of layout, as it was still written with my (woefully inept for compact Cheat Sheets) old helper files.
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# Semester 3
## Theoretical Computer Science
The main summary is pretty much a short script for the course, whereas my compact summary is focused teaching you the proof techniques, etc.
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# Semester 4
## Probability & Statistics
My first Cheat-Sheet with my new helpers and a much more suitable style.