Computional Methods 2026/2027

I. Requirements for Passing the Laboratory Classes

1. Prepare and submit all required reports.

2. Successfully defend the projects, demonstrating knowledge of the relevant topic, the work completed, and the software used, including any solutions developed with AI assistance.

3. Pass all knowledge assessment quizzes.

4. The final laboratory grade will be based on the arithmetic mean of the grades awarded for individual projects/reports, taking into account both the submitted work and the oral defence, as well as the date on which all laboratory requirements are fulfilled. All quizzes must be passed, but quiz scores do not contribute to the grade.

II. Report Preparation and Submission Rules

1. Reports must be prepared individually in accordance with the guidelines. AI tools, including large language models (LLMs), may be used to support the work, provided that their use is disclosed in the report.

2. Examples of permitted AI assistance include:

   • explaining mathematical concepts and numerical methods;

   • suggesting approaches to solving a problem;

   • assisting with writing, debugging, or explaining MATLAB code;

   • helping to interpret software documentation or error messages;

   • supporting the interpretation of results;

   • improving the language, clarity, or organisation of the report.

3. Students remain responsible for the accuracy and reliability of the entire report, including calculations, code, interpretations, and references. AI-generated content must be checked against appropriate sources, independent calculations, or other verification methods. Students must understand and be able to explain all submitted work.

4. Any use of AI must be documented by identifying the tools used and describing the purpose and scope of their use. Students are encouraged to present this information in a table at the end of the report, following the example below. Entries should reflect actual use; if no AI tools were used, a brief statement to that effect is sufficient.
   
   Declaration of AI Use — Example Entries

   AI tool and model/version, if known	Purpose and scope of use	Part of the report concerned	How the output was verified
   ChatGPT	Explanation of polynomial interpolation and assistance with debugging MATLAB code	Interpolation task and MATLAB script	Results compared with a manually calculated example
   Microsoft Copilot	Suggestions for interpreting discrepancies between FEM and analytical results	Discussion of results	Suggestions checked against modelling assumptions, mesh refinement results, and the analytical solution
   ChatGPT	Language editing of text written by the student	Introduction and conclusions	Revised text reviewed to confirm that the technical meaning was preserved

5. Completed reports must be submitted via the Rzeszów University of Technology e-learning platform.

6. The grade for each accepted report will reflect the scope of work completed, the quality of presentation, and the submission date.

7. Reports are graded on the following scale: 2.0, 3.0, 3.5, 4.0, 4.5, and 5.0.

8. Completion of the basic set of tasks is required to obtain a passing grade of at least 3.0.

III. Project Defence Rules and Procedures

1. Each project defence consists of an oral assessment and a quiz taken on the e-learning platform. The oral assessment may include questions about how AI-assisted solutions were developed and verified.

2. Each quiz allows two attempts and contains several questions, either multiple-choice or short-answer.

3. Questions are presented sequentially; students cannot return to previous questions or revise earlier answers.

4. The result is displayed after an attempt has been completed and submitted. Scores for questions requiring manual grading remain provisional until assessed by the instructors.

5. A minimum score of 50% is required to pass a quiz. Passing the quiz is compulsory, but the score does not affect the project/report grade or the final laboratory grade. The oral defence contributes to the assessment of each project/report.

6. The score from the most recent attempt is always the final, binding result.

7. Once the quiz closes at the specified deadline, the scores obtained in the submitted attempts are available for viewing, subject to completion of manual grading.

8. Students who do not successfully defend their project or do not attempt the quiz must attend an individual project defence.

9. Dates for individual project defences and resits will be announced by the instructors.

10. Single-answer and multiple-answer choice questions are graded automatically by the system. Essay-type questions requiring a short written response are graded by the instructors after the quiz closes.