Seminar Topic#1
Tutor: Moein Beheshti
The
seminar introduces the academic databases and sources commonly used in
your research and theses. You will also learn how to read academic
papers and manage them using citation management tools.
Topics:
Session
1: Navigating Academic Databases
1.
Starting
Your Search:
- Identifying
and employing keywords for data collection.
- Selecting the most influential articles and papers for focused study.
2.
Mastering
Data Collection:
- Familiarization with search optimisation
techniques for Scopus and Google Scholar engines.
- Exploration of literature acquisition tools: Mendeley, Zotero, and P&P.
3.
Citation
Management:
- Introduction to in-text citation tools like Jabref
and associated word processor plugins to streamline the writing process.
4.
Harnessing
AI in Research:
- Exploration of AI-powered tools, including ChatGPT,
to enrich the literature review process and shape research direction.
Files:
Session Slides:
Mendeley Special Edition:
https://www.mendeley.com/autoupdates/installers/1.19.6
https://harzing.com/download/PoP8Setup.exe
Refer to these links for further practice:
Further References:
How to Write a Great Research Paper: A Step-by-Step Handbook - (Leland Graham , Isabelle McCoy)
Session
2: Literature Data Summarization & Visualization
1.
Understanding
Literature as Data:
- Insight into how top-tier journals employ literature review visualisations
to highlight the essence of comprehensive studies.
2.
Data
Cleaning Essentials:
- Guidance refining exported CSV files by removing duplicates and addressing
potential errors.
3.
Introduction to Data Visualization:
- Hands-on exploration of visualisation
tools: Power BI, Excel, Python, and R.
4.
Modern
Visualization with AI:
- A journey into contemporary tools that effortlessly visualise
academic literature.
5.
Interpreting
Data:
- Uncovering pivotal dataset elements crucial for dissertations.
Slides:
Extra materials:
Link to the mock dashboard:
Note: In power bi desktop go to query editor, select your table and on the right hand side under Applied Steps click settings icon. You can also without going to query editor - go to File -> Options and settings -> Data source settings >Right click data sources and chnage source.
Further reading:
Check visualisation with Python for the same database and do yourself a favor and learn the most critical related libraries.
Power Bi Tutorial: https://www.youtube.com/watch?v=xQxPznGGjcs
Excel CSV cleaning: https://www.youtube.com/watch?v=_jmiEGZ6PIY
Course
Deliverables
Course Assignment:
Due by October 31st
As a crucial component
of your assessment, kindly submit the following requirements in a single PDF
document along an excel file by the end of October (October 31st, 2023).
1. Article on
Research Problem:
- Compose an article between 200-250 words
that succinctly defines the research problem, ensuring it incorporates
appropriate citations. You may utilize citation management tools like
Zotero or Mendeley to assist in accurate citation.
2. Data File
Submission:
- Submit a CSV file containing data
extracted from a database relevant to your research problem.
3. Visualization
Analysis:
- Create and provide two relevant visualisations
utilising any tools discussed during our sessions.
- Accompany each visualisation with a brief
analysis (approximately 100 words) explaining the insights or patterns you
have discerned from them.
Important
Notices
-
No prerequisite knowledge of Python or R is required.
-
Ensure to bring your laptops for a collaborative and interactive learning
experience.
- Before attending, please install the following software: Mendeley, Zotero, Power BI, Jabref, Microsoft Excel, and Word.