Master & PhD Thesis Class (Sommersemester 2024)
Dozent:
Dr. Julia von Thienen
Allgemeine Information
- Semesterwochenstunden: 2
- ECTS: 3
- Benotet:
Ja
- Einschreibefrist: 01.04.2024-30.04.2024
- Lehrform: Seminar
- Belegungsart: Wahlpflichtmodul
- Lehrsprache: Englisch
Studiengänge, Modulgruppen & Module
- Professional Skills
- Professional Skills
- HPI-PSK-DTA Design Thinking Advanced
- Professional Skills
- HPI-PSK-CO Communication Skills
- Professional Skills
- HPI-PSKDTA Design Thinking Advanced
- Professional Skills
- Professional Skills
- HPI-PSK-DTA Design Thinking Advanced
- Professional Skills
- HPI-PSK-DT Design Thinking
- Professional Skills
- HPI-PSK-DT Design Thinking
Beschreibung
Course Details:
- Starting Date: April 8th, 2024
- Schedule: Modays, 11:00 am - 12:30 pm
- Location: K-1.03
This seminar assists participants during the planning and writing of their master or phd thesis. It offers hands-on sessions to address various aspects of ongoing thesis work, and provides training in two subject areas: (i) research methodology and (ii) scientific writing.
Within the research methodology domain, participants learn how to assess the impact of IT tools they may develop. The curriculum provides a systematic guide on designing randomized experiments, quasi-experiments, and studies with repeated measures (time series data). It offers instructions on how to design survey and test items, along with strategies to assess the psychometric properties of scales. The seminar also teaches participants how to conduct, code and analyze interviews. An overview of UX testing is presented, alongside pointers on where and how to undertake UX research within the HPI. Additionally, the seminar offers a succinct introduction to the fundamentals of statistical data analysis.
The domain of scientific writing familiarizes participants with the basic structure of scientific texts, offering strategies for efficient time management during the writing process. It also delves into various facets of scientific publication, covering topics such as selecting appropriate journals, understanding the review process, and addressing ethical considerations, particularly in the context of using AI tools. It also provides guidance on formatting literature references and other formalities.
Regular practice sessions are embedded within the course structure, providing participants with opportunities to present sections of their writing, and receive feedback. The presented sections can be (shortened) passages taken from one's thesis, from other emerging paper drafts, or sections written solely for the 4-pages academic paper to be submitted by the end of the term.
The class will start with input sessions by the beginning of the semester, while closing with a number of practice sessions dedicated to changing sections of your paper.
Voraussetzungen
There are no prerequisites for taking this class.
Literatur
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50% of your grade will be based on a short article you write on an academic subject of your choice. You do not need to publish it (publication is not part of the grading), but you are encouraged to use the effort invested and refinement time in class to work towards a paper publication. You can select publishing venues of your choice. One possibility is https://ecdtr.org.
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25% of your grade will be based on a study design (experiment, quasi-experiment, or time series analysis) you plan on a subject of your choice. You are only expected to submit the planned study design; there is no need to actually conduct the study.
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25% of your grade will be based on either a questionnaire you design on a subject of your choice, or alternatively, on the analysis of data making use of the statistical methods covered in class.
You are welcome to look into the course. In case you decide to step back, you need to resign by contacting the Studienreferat and/or writing an e-mail to Julia.vonThienen [at] hpi.de by May 4, 2024. On May 5, the first grading-relevant homework submissions are expected in class.
Termine
8.4.24 Introduction to Academic Writing
15.4.24 Literature Research and Article Skimming
22.4.24 Study Design – From Randomized Experiments to Time Series Data
29.4.24 Designing Surveys and Test Items
6.5.24 Conducting, Coding, and Analyzing Interviews
13.5.24 Psychometric Properties of Scales
27.5.24 Mastering UX: Research, Metrics, and Objectives
3.6.24 Introduction to the Basics of Statistics
10.6.24 Your Turn: Discussing Your Research Subjects, Questions/Hypotheses
17.6.24 Your Turn: Paper & Study Design Critique
24.6.24 Your Turn: Abstract & Keyword Review
1.7.24 Your Turn: Introduction Review
8.7.24 Your Turn: Methods Review
15.7.24 Your Turn: Results and Conclusion Review
Further submission dates:
- 5.5.24: A study designed by you
- 16.6.24: Your self-designed questionnaire, or alternatively, your data analysis
- 31.8.24: Your academic paper (four pages max.)
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