In this seminar, students perform scientific research, either in the form of a literature review or by conducting a small experiment, or a mixture of both, prepare a written report about the results, peer review reports and present their own results. Topics of interest focus around a variety of problems and tasks from the fields of Green Software Engineering combined with Data-Science, and Text Mining.

Students will develop methods and skills to find relevant literature for his/her topic, to prepare methodologically sound scientific experiments, and to write a well-structured scientific paper and to present his/her results. He/she will be also aware of the need to avoid plagiarism. The key qualification Scientific Research is highly recommended as a prerequisite for the seminar.

At the end of the course, students are able to:

• Find and identify relevant related work;
• Read and critically analyze scientific publications on the topic;
• Review and summarize the current state of the art of a selected topic;
• Evaluate the benefits/drawbacks of using specific approaches and reflect on possible future directions;
• Provide constructive feedback on a research report;
• Give a scientific presentation in terms of structure, level of detail, and presentation techniques.

Schedule

• Feb 20 , Kickoff, Understanding the Research World (online)
• Feb 27 , Produce a Literature Review & Latex 101 (online)
• April 15 , Paper Bidding
• April 29 , Reviewing
• May 6 , Discussion
• May 13 , Manuscript Revision
• May 20 , Final presentation (onsite)

Deadline

• April 15, Literature Review
• May 6, Reviews
• May 13, Review Decisions

Project Selection

Please fill out the form at Google Form to give your preference for various topics.

Review Process

You will participate in a simulated review process. We will use the HotCRP Platform for the review process. Please sign up with your UMA email there.

Grading

The final grading will depend on three parts:

• written report (60%)
• participation in the simulated reviewing process (20%)
• presentation (20%)