Studieneingangsgespräch/Letter of Motivation und Master Data Science: Unterschied zwischen den Seiten

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Diese Seite soll dazu dienen verschiedene Vorlagen für einen "Letter of Motivation" für ein Informatikstudium an der TU Wien zu sammeln. Leider müssen ja ab SS2011 alle AnfängerInnen eines Informatikstudiums so ein [http://www.informatik.tuwien.ac.at/lehre/steg/ Motivationsschreiben abgeben und ein Studieneingangsgespräch führen]. Immerhin: Am Ende des Gesprächs wird jedenfalls eine Teilnahmebestätigung ausgestellt (du kannst also nicht durchfallen).
Work in progress.


== Variante 1: Schleimen bzw. auf Nummer sicher gehen ==
The goal of ths page is to present a few possible "Tracks" through the Master Programme Data Science.
An<br>
A Track here is a certain collection of classes taken in order to fulfill the study plan.
Dekan Gerald Steinhardt<br>
The idea is to document actually taken classes, not all possible choices.
Technische Universität Wien<br>
There could be 2-4 core areas that the study is covering mostly; this will typically cover different structures in the study plan.
Fakultät für Informatik<br>
Ideally, the description of a track gives the list of classes taken (especially the freely elected ones, from extension modules, etc.) and short descriptions how they tie in with other lectures.
Erzherzog-Johann-Platz 1/E180<br>
Which of them are deepening understanding in what areas, which ones are comeplementing others, which of them possibly present content better than others, things like that.
1040 Wien


'''Betreff: Letter of Motivation für ein Informatikstudium'''


Sehr geehrter Dekan,<br>
== Track "Machine Learning, Statistics, Data Visualization" ==
sehr geehrte Damen und Herren!
The classes taken from Extension Modules and free electives were meant to cover these areas as well as possible.
The overarching theme is to analyse data with statistical methods, build (machine learning) models, and visualize data in exploratory phases, as well as being able to present results using visualizations tailored to a non-technical audience.


Mit großer Begeisterung habe ich gelesen, dass Sie mich zu einem persönlichen Gespräch einladen, um mit mir über meine Motivation für ein Informatikstudium zu sprechen. Schon im Vorfeld möchte ich hiermit darlegen, was meine persönlichen Beweggründe sind und warum ich gerade die TU Wien gewählt habe. Zunächst spielt natürlich das fachliche Interesse eine Rolle. Während meiner Schullaufbahn kam ich nicht nur in Kontakt mit Computern und EDV sondern fand auch Gefallen an mathematischem Denken, Logik und Abstraktion von komplexen Prozessen. Jetzt möchte ich dieses Interesse in den Mittelpunkt meiner Ausbildung rücken und mit einem Universitätsstudium vertiefen. Informatik bedeutet für mich nicht nur Arbeiten mit Computern, sondern deren technische Funktion und Bedeutung in einer Informationsgesellschaft vollständig zu erfassen und weiterzuentwickeln.
=== Focus: Machine Learning ===


Des Weiteren ist für mich die TU Wien mit ihrer Ausrichtung auf forschungsgeleitete Lehre eine der attraktivsten Universitäten in Österreich, sodass mir die Wahl nicht schwer fiel. Ich möchte Ihnen dabei auch gleich zum öffentlichen Image der TU Wien (und im speziellen der Fakultät für Informatik) gratulieren, das einerseits Kompetenz und andererseits auch Nähe zur Gesellschaft und den Menschen vermittelt. Der Anspruch der TU Wien hier Exzellenz zu entwickeln entspricht genau meiner Einstellung; ich möchte mit meinem Fleiß dazu beitragen nicht nur mich sondern auch die TU Wien weiterzuentwickeln.
Work in progress, links to Vowi will follow!


Ich freue mich schon auf den Austausch beim Studieneingangsgespräch und verbleibe
* Deep Learning for Visual Computing (MLS/EX)


Hochachtungsvoll
* Similarity Modeling (MLS/EX)


Bibi Blocksberg
=== Focus: Statistics ===


Work in progress, links to Vowi will follow!


== Variante 2: Mutige Rebellion und sich nichts gefallen lassen ==
* Multivariate Statistik, VO + UE (P. Filzmoser) (MLS/EX)
Hallo,
Good complement for e.g. "Advanced Methods for Regression and Classification VU" and "Statistische Simulation und computerintensive Methoden VU".
A little more math, gives good introductions to methods useful for pre-processing data (dimension reduction, PCA, SVD).
Also covers some robust statistics, which is a nice addition to the data scientists tool box imho.


ich habe mit meiner Universitätsreife (Matura/Berufsreifeprüfung/Studienberechtigungsprüfung etc.) schon die Kriterien für ein Informatikstudium in Österreich erfüllt. Meine Motivation ist meine Privatsache und geht Sie nichts an.
* Datenanalyse (P. Filzmoser) (MLS/EX) [Note: this class can only be used under certain conditions towards completion of the master.]
Introduction to more exploratory data analysis, stuff that is not covered a lot in other classes.
Most students will possibly already have taken this class in their Bachelor already?


In diesem Sinne, FUCK YOU.
=== Focus: Data Visualization ===


Vera Rscht
Work in progress, links to Vowi will follow!


* Visual Data Science VU (J. Schmidt) (VAST/EX)
This class nicely complements classes "Gestaltung und Evaluation von Visualisierungen UE" and "[[lva:Informationsvisualisierung VO|Informationsvisualisierung VO]]".
The latter give foundations on how to visualize data, and how to evaluate visualizations.
The class Visual DS is a little more hands on, where in exercises data sets are analyzed visually and statistically, and there is the choice of creating a dashboard for a concrete dataset.
This gives a deeper understanding for visualizations in more practical settings, and show how visualizations can be used.
It also aims at making clear that different visualizations are useful for different audiences.


== Variante 3: Ernst Jandl reloaded ==
=== Focus: Data Fundamentals ===
Sehr geehrter Damen und Herren!


Meine Motivation für eine Informatikstudium lässt sich am besten mit folgenden Gedicht von Ernst Jandl ausdrücken:
Work in progress, links to Vowi will follow!


manche meinen<br>
* User Research Methoden VU (G. Fitzgerald) (FDS/EX)
lechts und rinks<br>
This class complements "Data Acquisition and Survey Methods". While the latter almost exclusively focuses on quantitative methods for analysing data from experiments, User Research almost exclusively focuses on qualitative methods. It could be beneficial to understand what kind of data such methods produce, and how they can be analyzed with data science approaches, and what tools can help with analyzing such data. Additionally, there are often mixed method studies that employ quantitative as well as qualitative methods, and understanding the latter is then necessary to fully grasp such studies.
kann man nicht velwechsern<br>
werch ein illtum


Ich denke damit ist bereits alles gesagt.
== Track "High-Performance Computing, Algorithms, Optimization" ==
This is a fake place-holder entry to show that there can be multiple different tracks. Please add your own.


Mit freundlichen Grüßen


Pipi Langstrumpf


 
[[Kategorie:Studienplanung]]
== Variante 4: Realismus ==
Liebe KollegInnen!
 
Bevor ich mich der Motivationsfrage widme, möchte ich auf die aktuelle Situation der TU Wien eingehen. Wie allgemein bekannt leiden alle Österreichischen Universitäten an chronischer Unterfinanzierung, so auch die TU Wien. Das wirkt sich sehr stark auf die Lehrveranstaltungen aus, die nur schlecht betreut werden. Ich weiß außerdem, dass für die meisten Lehrenden an der TU Wien das Abhalten von Lehrveranstaltungen eine lästige Pflicht ist, sodass viele Vorlesungen langweilig sind. Da sich die TU sehr stark als reine Forschungsuniversität positioniert, stehen die Lehrenden natürlich unter Druck regelmäßig neue wissenschaftliche Arbeiten zu veröffentlichen und sind fast schon dazu gezwungen Zeit für Lehrveranstaltungsvorbereitung abzuziehen. Ich habe mir weiters die Entwicklung der Informatik-Studienpläne in den letzten Jahren angesehen und eine starke Verschulung festgestellt. Es gibt weniger Wahlmöglichkeiten, es gibt eine Grundstudiumsregelung, es gibt jetzt Studieneingangsgespräche. Ich werde den Eindruck nicht los, dass Sie die Studierenden sehr stark bevormunden und Sie ihre Entfaltung in einem Universitätsstudium hemmen.
 
Sie haben also kein Geld, machen schlechte Lehre, haben einen sehr einschränkenden Studienplan und wollen mich bevormunden. Und da soll ich meine Motivation unter Beweis stellen? Wenn, dann müssen Sie mit Ihrer Motivation zu mir kommen, warum ich überhaupt an Ihre kaputte Universität kommen soll.
 
Liebe Grüße
 
Frida Kahlo
 
== Motivated English Man / The Mantra ==
 
Dear Dean,
 
I am determined by all means to study computer science at the Vienna University of Technology. This is my passion.
 
'''I will act now. I will act now. I will act now.''' Henceforth, I will repeat these words each hour, each day, everyday, until the words become as much a habit as my breathing, and the action which follows becomes as instinctive as the blinking of my eyelids.
 
With these words I can condition my mind to perform every action necessary for my success…. I will act now for now is all I have.
 
Tomorrow is the day reserved for the labor of the lazy. I am not lazy.
 
Tomorrow is the day when the failure will succeed. I am not a failure.
 
I will act now. Success will not wait.
 
If I delay, success will become wed to another and lost to me forever.
 
This is the time. This is the place. I am the person.
 
Sincerly,
Augustine Mandino
 
== Motivated Turkish Man  ==
 
Sevgili Dean,
 
Tüm Teknoloji Viyana Üniversitesi'nde bilgisayar bilimleri okumaya yoluyla kararlıyım. Bu benim tutkum.
 
'''Ben şimdi hareket edecek. Şimdi hareket edecek. Şimdi hareket edecektir.''' Bundan böyle, bu kelimelerin her saat, her gün tekrarlanan günlük, kelimeler benim nefes kadar bir alışkanlık ve aşağıdaki eylem olarak duruma gelinceye kadar, yanıp sönen benim göz kapaklarının gibi içgüdüsel hale gelir.
 
Bu sözlerle ben durumu aklıma her eylem benim başarı için gerekli gerçekleştirmek için olabilir .... Ben şimdi sahip olduğum tek şey için şimdi harekete geçecektir.
 
Yarın tembel ve emek için ayrılmış bir gündür. Ben tembel değilim.
 
Yarın başarısız başarılı olur bir gün. Ben başarısız değilim.
 
Şimdi hareket edecek. Başarı beklemeyecek.
 
Ben gecikme olursa, başarı başka evlenmek olacak ve sonsuza kadar beni kaybetti.
 
Bu zamanı. Bu yerdir. Ben insanım.
 
Çok samimi,
Mustafa Kemal Atatürk
 
== Motivated Saxonian Man ==
 
Lieber Degan,
 
Ich bin fesd endschlossen, Informadig an der Teschnischen Universidäd Wien zu schdudieren. Das isd meene Leidenschafd.
 
'''Ich werde jedzd handeln. Ich werde jedzd handeln. Ich werde jedzd handeln.''' Ab jedzd werde isch diese Worde jede Schdunde, jeden Tag wiederholen, bis sie eene Gewohnheid wie das Admen werden, und die Agdsion, die ihnen folgen wird, so inschdingdiv wie das Blinzeln der Augen.
 
Mid diesen Worden gann isch meenen Geisd gondidsionieren, sodass er jede Handlung ausführen wird, die für meenen Erfolg nodwendig isd. Ich werde jedzd handeln, denn mehr als diesen Zeidbungd habe isch nischd.
 
Morgen isd der Tag für die Arbeid der Faulen. Ich bin nischd faul.
 
Morgen isd der Tag, an dem der Versager erfolgreisch seen wird. Ich bin geen Versager.
 
Ich werde jedzd handeln. Der Erfolg wird nischd warden.
 
Wenn isch zögere, wird der Erfolg jemandem anderen zugommen und mir für immer verloren gehen.
 
Dies isd die Zeid. Dies isd der Ord. Ich bin die Person.
 
Mid freundlischen Grüßen,
Ronny Manndin
 
 
== Vertrauenswürdiger nigerianischer Prinz ==
 
Hello My Dear University of Vienna,
I am the head of Accounts and Audit Department of Bank of Africa, Ouagadougou . I decided to contact you after a careful thought that you may be capable of handling this business transaction which I explained below In my department, I discovered an abandoned sum of $58.5m US dollars In an account that belongs to one of our foreign customer who died along with his entire family in 2003 in a plane crash.
Since i got information about his death, The bank have been expecting his next of kin to come over and claim his money because The fund cannot be released unless somebody applies for it as next of kin or relation to the deceased as indicated in our banking guidelinaes but unfortunately I learnt that his supposed next of kin (his son and wife) died alongside with him at the plane crash leaving nobody behind for the claim .It is therefore upon this discovery that I now decided to make this business proposal to you and release the money to you as the next of kin (I want to present you as his coussin )to the deceased for safety and subsequent disbursement since nobody is coming for it and I don't want this money to go into the Bank treasury as unclaimed Bill.
The Banking law and guideline here stipulates that if such money remained Unclaimed after seven years, the money will be transferred into the Bank treasury as unclaimed fund. The request of foreigner as next of kin in this business is occasioned by the fact that the customer was a foreigner and a Burkina be cannot stand as next of kin to a foreigner.
I agree that 40% of this money will be for you as foreign partner, in respect to the provision of a foreign account, 10 % will be set aside for expenses incurred during the business and 50% would be for me . There after I will visit your country for disbursement according to the percentages indicated. Therefore to enable the immediate transfer of this fund to your account as arranged, you must apply first to the bank as next of kin of the deceased customer. Upon receipt of your reply, I will send to you by fax or email the text of the application. I will not fail to bring to your notice that this transaction is hitch free and that you should not entertain any atom of fear as all required arrangements have
been made for the transfer.
I expect that you contact me immediately as soon as you receive this letter, and send me your personal data  before i send you the application which you will fill and send to the bank for continuation of this transaction.
Hoping to hear from you immediately.
Yours faithfully,
Mr ISSA HAMED
Accounts & Audit Department,
Bank of Africa .
+226 76 32 22 05

Version vom 13. Dezember 2019, 20:54 Uhr

Work in progress.

The goal of ths page is to present a few possible "Tracks" through the Master Programme Data Science. A Track here is a certain collection of classes taken in order to fulfill the study plan. The idea is to document actually taken classes, not all possible choices. There could be 2-4 core areas that the study is covering mostly; this will typically cover different structures in the study plan. Ideally, the description of a track gives the list of classes taken (especially the freely elected ones, from extension modules, etc.) and short descriptions how they tie in with other lectures. Which of them are deepening understanding in what areas, which ones are comeplementing others, which of them possibly present content better than others, things like that.


Track "Machine Learning, Statistics, Data Visualization"

The classes taken from Extension Modules and free electives were meant to cover these areas as well as possible. The overarching theme is to analyse data with statistical methods, build (machine learning) models, and visualize data in exploratory phases, as well as being able to present results using visualizations tailored to a non-technical audience.

Focus: Machine Learning

Work in progress, links to Vowi will follow!

  • Deep Learning for Visual Computing (MLS/EX)
  • Similarity Modeling (MLS/EX)

Focus: Statistics

Work in progress, links to Vowi will follow!

  • Multivariate Statistik, VO + UE (P. Filzmoser) (MLS/EX)

Good complement for e.g. "Advanced Methods for Regression and Classification VU" and "Statistische Simulation und computerintensive Methoden VU". A little more math, gives good introductions to methods useful for pre-processing data (dimension reduction, PCA, SVD). Also covers some robust statistics, which is a nice addition to the data scientists tool box imho.

  • Datenanalyse (P. Filzmoser) (MLS/EX) [Note: this class can only be used under certain conditions towards completion of the master.]

Introduction to more exploratory data analysis, stuff that is not covered a lot in other classes. Most students will possibly already have taken this class in their Bachelor already?

Focus: Data Visualization

Work in progress, links to Vowi will follow!

  • Visual Data Science VU (J. Schmidt) (VAST/EX)

This class nicely complements classes "Gestaltung und Evaluation von Visualisierungen UE" and "Informationsvisualisierung VO". The latter give foundations on how to visualize data, and how to evaluate visualizations. The class Visual DS is a little more hands on, where in exercises data sets are analyzed visually and statistically, and there is the choice of creating a dashboard for a concrete dataset. This gives a deeper understanding for visualizations in more practical settings, and show how visualizations can be used. It also aims at making clear that different visualizations are useful for different audiences.

Focus: Data Fundamentals

Work in progress, links to Vowi will follow!

  • User Research Methoden VU (G. Fitzgerald) (FDS/EX)

This class complements "Data Acquisition and Survey Methods". While the latter almost exclusively focuses on quantitative methods for analysing data from experiments, User Research almost exclusively focuses on qualitative methods. It could be beneficial to understand what kind of data such methods produce, and how they can be analyzed with data science approaches, and what tools can help with analyzing such data. Additionally, there are often mixed method studies that employ quantitative as well as qualitative methods, and understanding the latter is then necessary to fully grasp such studies.

Track "High-Performance Computing, Algorithms, Optimization"

This is a fake place-holder entry to show that there can be multiple different tracks. Please add your own.