Start of Studies
First semester support for the BA “Digital Humanities and Social Sciences”
In order to help you find your way around, there are a number of events and offers especially for our first-year students that are designed to make it as easy as possible for you to get used to life at FAU.
The study of Digital Humanities and Social Sciences does not require any special prior knowledge.
What should you bring with you?
- Interest in technical questions
- Joy of networked thinking and flexible problem solving
- Joy of interdisciplinary cooperation
- Creativity and logical thinking
All information on enrolment can be found on the FAU homepage. Link to Homepage FAU, enrolment/enrolment
For beginners of the BA Digital Humanities and Social Sciences, visiting the Mathematics Repetorium before the start of university is recommended.
The Repetitorium is a good preparation for the mathematics lectures. In the two weeks before the start of university, the required mathematical basics are revised and practised in this preliminary course. The Informatik-Repetitorium is not necessary because the required knowledge is taught in the first semesters.
During the eight-day Repetitorium before the beginning of the semester, school knowledge required in the first semesters in the subject of mathematics in particular is revised during a lecture and practiced in small study groups in a tutorial class.
The Mathematics Repetitorium is a voluntary programme for all first-year students to refresh their knowledge of mathematics before studying.
In advance, a preliminary test on engineering mathematics can be used to test which mathematical skills the students still have from school. The pre-test can simply be printed out and edited directly on the print-outs. Have fun and good luck! Solution hints will be made available at the end of September as part of the Mathematics Repetitorium.
All information about the Mathematics Repetitorium can be found on the homepage of the Faculty of Technology.
Fundamental and Orientation Studies
Especially for the humanities and social sciences, the Fundamentals and Orientation Studies (GOS) offer extremely helpful introductions before the start of studies as well as support during the studies. The GOS is an independent program for students with three main areas of work: Orientation courses for first-year students, courses on writing and methodological skills as well as courses to promote personality and self competences.
All beginnings are difficult. But you are not alone. Especially the beginning of your studies is associated with many questions:
- Which lectures, exercises etc. do I have to attend?
- Where can I find which room?
- How do I put together a timetable?
- How do I connect to the WiFi?
- How do I get a login for the PC rooms etc.?
- Do I have to register for certain courses or exercises? Are there any deadlines?
Before the start of the winter semester, there will be an information event for all these questions, in which the FSI DigiHumS in addition to the course coordinators will offer assistance. The date will be announced on this homepage.
At school, you simply got a timetable. This does not usually exist at university. There are exceptions – please first check the homepage of your degree programme to see if there is already a finished timetable available for you. In many cases, however, students have to put together their own individual semester plans.
This is not easy because sometimes courses overlap or can only be taken in a certain semester. Or they are only offered in either the summer or winter semester. So the most important thing at the beginning of your studies is that you inform yourself well.
The General Student Advisory Service (IBZ) recommends the following procedure:
- Please refer to the respective Studien-/Fachprüfungsordnung or the module handbook of your course of study for the required seminars, courses, lectures etc.
- Look for the necessary courses on the course catalogue platform, UnivIS
- Mark the selected events in your preliminary timetable (“Collection/Timetable”)
- Take your timetable with you to the Introductory courses of your degree programmes
Do not miss the introductory courses of the programme. There you will find valuable and detailed information on frequently asked questions.
- Request a User ID at the data center (RRZE):
- Please attend a course at the University Library during the first few weeks. Your FAUcard is also your library card: https://ub.fau.de/lernen-arbeiten/beratung-schulung/schulungen/
- With the FAU-Card you can enter the computer rooms (CIP-Pools). Have the card unlocked by the administrators of the CIP pool:
- Login to StudOn.uni-erlangen.de:
- The DigiHums Student Initiative (FSI) offers introductory events and makes getting to know each other easier through meetings and events at the beginning of the semester. Find out more on the FSI website:
FSI DigiHumS, FSI Informatik
The GOP ( Grundlagen- und Orientierungsprüfung, basics and orientation examination) is not a single examination, but results from several examinations which the students take during the first two semesters (at the latest in the third). The GOP is intended to provide students with reliable feedback on their suitability for the chosen degree programme at an early stage.
The GOP examinations may only be repeated once if students fail to pass them. Thus, if you do not pass a GOP exam in the second attempt, you will have failed the GOP already at this point and will unfortunately not be allowed to continue studying the subject in question.
“I did not know” or “I overlooked it” are NO grounds for a request for an extension of the deadline until the completion of the basics and orientation examination. In the basics and orientation exams, students should demonstrate that they
- are able to cope with the demands placed on academic study in the subjects they have chosen
- in particular, have acquired the methodological skills necessary to successfully continue their studies.
As soon as the corresponding ECTS points have been recorded in meincampus, the GOP is passed.
The Bachelor-Master system is a course of study based on modules. Like in a bracket, related courses are combined in one module. These, in turn, can be made up of different types of events.
The modules of the programme are structured very differently, which is due to their location in three different faculties. Even if the courses have the same name, the teaching forms can differ greatly.
Modules in Computer Science and Mathematics
- Lecture: Here you will learn important theoretical basics that you need to understand the subject matter.
- Exercise: Here the contents of the lecture are deepened, mostly with the help of practical tasks.
- Computer Exercise: Here experienced tutors support you while working on programming tasks.
- Table exercise: Here experienced tutors support you while working on arithmetical tasks.
- Tutorial: Here you can intensively study the subject matter again. However, a tutorial is not always offered.
Modules from the Humanities and Social Sciences
- Lecture: Here a certain field of science is introduced in order to give an overview of theoretical approaches, research results and/or research methods.
- Exercise: Here the contents of the lecture are deepened, mostly with the help of theoretical, methodical and/or practical tasks.
- Seminar: Here the participants’ own contributions concerning a set overall topic are intensively dealt with.
Attendance is compulsory for some courses. Detailed information is available either at Univis or at the beginning of the respective lecture.
As diverse as the fields of humanities and social sciences are, as different are the necessary skills in computer science. In different modules the students learn
- Basic and application-oriented programs for the digital humanities and social sciences
- Introduction to programming with Java, Python
Paradigms: Object-oriented programming, Lambda expressions
Data structures: fields, lists, associative fields, trees and graphs, images
Algorithms: recursion, tree and graph traversing
Application examples: image processing, network communication, encryption, version control
Internal representation of data
- Basics of modeling
Data Modeling using the Example Entity Relationship Model
Modeling object-oriented systems using UML
as an example
Relational Data Modeling and Query Options
Basics of metamodeling
Multidimensional Data Modeling
Domain modeling and ontologies
Finite automatons and regular grammars and languages
Pushdown automatons, contextual grammars and languages
Turing machines and calculable functions
Primitive recursive and mü recursive functions
LOOP and WHILE calculability
Decidable languages and undecidability
Complexity classes P and NP
- Propositional calculus:
Syntax and Semantics
Automatic closing: Resolution
Formal deduction: correctness, completeness
Syntax and Semantics
Automatic closing: Unification, Resolution
Application of automatic evidence
Formal deduction: correctness, completeness
And if you want much more!