Modul ID	e.g. DTA-01
Modul Name	e.g. Internet of Things and Artificial Intelligence
Course	e.g. WINF_11
ID	[imma-nr]
Author	[academic degree] [Vorname] [Nachname]
Enterprise	e.g. myCompany
Logo
Title of the Paper	Optimization of an IoT Infrastructure and RFID solution for faster inspection and Inventory of incoming goods (supplier integration)
Mentor University (PKB1)	[academic degree] [Vorname] [Nachname]
Mentor Company (PKB2)	[academic degree] [Vorname] [Nachname]
Editing Period	[TT.MM.JJJJ] – [TT.MM.JJJJ]

Declaration of Authenticity	I declare that I completed this academic paper independently and used only the materials that are listed. All materials used, from published as well as unpublished sources, whether directly quoted or paraphrased, are duly reported. Furthermore, I declare that this paper or any abridgment of it, was not used for any other degree seeking purpose.
Confidential Clause	This academic paper is based on internal, confidential data and information of the enterprise named above. This work may only be available to the first and second reviewers and authorized members of the board of examiners. Any publication and duplication of this paper – even in part – is prohibited. An inspection of this work by third parties requires the expressed permission of the author and the company. Signature: ____________________________________ Author

Inhaltsverzeichnis

Inhaltsverzeichnis	II

Abbildungsverzeichnis	II

Tabellenverzeichnis	II

Abkürzungsverzeichnis	II

1	INTRODUCTION (1/2 - 1 PAGE)	3

2	PROBLEM (3 PAGES)	3

3	METHODS (3 PAGES)	3

4	TRANSFER (3 PAGES)	3

5	CONCLUSION (1 PAGE)	3

6	Überschrift 1	4

6.1	Überschrift 2	4

6.1.1	Überschrift 3	4

Quellenverzeichnis	5

Anhang	5

Abbildungsverzeichnis

Abb. 1 – Titel der Abbildung	4

Tabellenverzeichnis

Tab. 1 – Titel der Tabelle	4

Abkürzungsverzeichnis

Abb.	Abbildung

Tab.	Tabelle

INTRODUCTION (1/2 - 1 PAGE)

What is the central topic? Title of the work?

Why is the topic relevant and important for the project or work environment?

What are the main objectives and intended outcomes?

How is the problem statement connected to the module?

PROBLEM (3 PAGES)

What is the specific problem? What are its impacts?

Visualization: Which people, departments, and systems are involved? What are their relationships? At which interfaces, relationships, or elements do the central problems appear?

Are there existing approaches or solutions in theory and/or practice that can be built upon?

What factors contribute to the complexity of the problem?

What theoretical foundations and models are relevant for understanding the problem?

METHODS (3 PAGES)

Which methods from the module are used to analyze and solve the problem?

Why were these methods chosen and how are they suitable for the specific problem?

How are the methods concretely applied and implemented?

What data and information are used for the application of the methods?

How are the validity and reliability of the methodological approaches ensured?

TRANSFER (3 PAGES)

How can the results of the analysis be transferred to the project or company?

What specific measures or changes are proposed based on the results?

How can the benefits of the proposed solutions for the company or project be demonstrated?

What potential challenges or obstacles might arise during the implementation of the proposals and how can they be overcome?

How can the methods and results be applied to similar or other problems?

CONCLUSION (1 PAGE)

What essential insights were gained from the work?

To what extent were the objectives of the work achieved?

What are the main conclusions and recommendations?

What added value does the work provide for the project and work environment?

What further research topics or projects could arise from the work?

Überschrift 1

Überschrift 2

Überschrift 3

Text (Standard) mit Fußnote

Aufzählung 1

Aufzählung 2

Abb. 1 – Titel der Abbildung

Tab. 1 – Titel der Tabelle

Beispiel Big Picture

Abb. 2 – Beispiel BigPicture, Projektkontext

(1) ca. 900 Anwender, ~150 Anfragen pro Tag, Kontext, Inhalt hochgradig spezifisch

(2) Anfragen per Mail oder Portal;

(AI) – aktuell “human” Scheduler/Router; Ziel: Training und Implementierung einer AI, die in Abhängigkeit von Strukturdaten Best Guess Antworten ableitet (3) und Anfrage an das richtige Solution Team routet

(4) Aufbereitung von Antworten für eine Knowledge Base – kontinuierliche Verbesserung von (3)

Quellenverzeichnis

Anhang

Beispielfußnote