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Seit November 2022
Lehrer seit November 2022
Mathematics & Computer Science student tutoring at university level!
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Von 19 € /Std
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I'm a Mathematics & Computer Science student wishing to share my passion for these topics with others! I find it essential to present the topic intuitively and pleasantly, with plenty of examples and visual aids.

I teach the following courses:
Mathematics: Calculus, Discrete Mathematics, Galois Theory, Group Theory, Linear Algebra, Real & Complex Analysis, and Topology.
Computer Science: Artificial Intelligence, C/C++, Data Structures, Data Science, HTML5, Java, and Python.
Zusätzliche Informationen
If possible, bring all material you have from your class.
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Beim Schüler zu Hause :
  • In der Umgebung von Barcelona, Spanien
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Beim Lehrer zu Hause :
  • Plaça de Catalunya, Barcelona, Spain
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Online aus Spanien
Alter
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Mittel
Fortgeschritten
Dauer
30 Minuten
45 Minuten
60 Minuten
Unterrichtet in
Englisch
Spanisch
Verfügbarkeit einer typischen Woche
(GMT -05:00)
New York
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Beim Lehrer zu Hause und Online
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Beim Schüler zu Hause
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

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The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
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Samuel kontaktieren
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Der richtige Lehrer Garantie
Ähnliche Kursen
arrow icon previousarrow icon next
verified badge
Erik
This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
Der richtige Lehrer Garantie
favorite button
message icon
Samuel kontaktieren