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dsm:assignments:01 [2025/10/05 19:32] emilian.radoi |
dsm:assignments:01 [2026/10/04 16:41] (current) emilian.radoi |
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| ===== Project ===== | ===== Project ===== | ||
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| * **Team**: 2 members. | * **Team**: 2 members. | ||
| * **Project Selection**: | * **Project Selection**: | ||
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| === Milestones and Deliverables === | === Milestones and Deliverables === | ||
| - | == 1. M1 (04.11.24) - Related Work / State-of-the-Art Review + Presentation (1p) == | + | == 1. M1 (02.11.25) - Related Work / State-of-the-Art Review + Presentation (1.5p) == |
| * **Objective**: Establish the research context by reviewing and summarising related work (existing studies and relevant literature related to your topic). | * **Objective**: Establish the research context by reviewing and summarising related work (existing studies and relevant literature related to your topic). | ||
| * **Action Items**: | * **Action Items**: | ||
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| * Identify gaps in the research or areas for potential improvement. | * Identify gaps in the research or areas for potential improvement. | ||
| * **Documentation (English, IEEE format)**: Create a report section (2 pages excluding references) detailing your findings, including citations of key papers and a discussion of how your project will build upon or differ from existing work. | * **Documentation (English, IEEE format)**: Create a report section (2 pages excluding references) detailing your findings, including citations of key papers and a discussion of how your project will build upon or differ from existing work. | ||
| - | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49434|Upload]] must contain title and authors. | ||
| * **Grading** | * **Grading** | ||
| - | * **(0.3p) References**: Include a minimum of 10 academic papers in your review. | + | * **References**: Include a minimum of 10 academic papers in your review. |
| - | * **(0.2p) Research Questions**: Provide at least 2 meaningful research questions that will answer, or that should be addressed in future work. Helpful guide [[https://atlasti.com/guides/qualitative-research-guide-part-1/research-question | here]]. | + | * **Research Questions**: Provide at least 2 meaningful research questions that you will answer, or that should be addressed in future work. Helpful guide [[https://atlasti.com/guides/qualitative-research-guide-part-1/research-question | here]]. |
| - | * **(0.5p) Content**: Capture the current landscape of the topic. You may use qualitative surveys for inspiration. Also **check the tips below**). In your review explicitly answer these sub-questions, each worth 0.1p: | + | * **Content**: Capture the current landscape of the topic. You may use qualitative surveys for inspiration. Also **check the tips below**). In your review explicitly answer these sub-questions, each worth 0.1p: |
| - | * What datasets are used and why? (0.1p) | + | * What datasets are used and why? |
| - | * What benchmarks or evaluation methods are used? Are there any limitations? (0.1p) | + | * What benchmarks or evaluation methods are used? Are there any limitations? |
| - | * What are the current shortcomings in the field? (0.1p) | + | * What are the current shortcomings in the field? |
| - | * How do the works relate to each other? (e.g: one paper addresses another's limitations, several share the same assumptions or techniques)? (0.1p) | + | * How do the works relate to each other? (e.g: one paper addresses another's limitations, several share the same assumptions or techniques)? |
| - | * What architectures and training techniques are used? Any noteworthy or novel approaches? (0.1p) | + | * What architectures and training techniques are used? Any noteworthy or novel approaches? |
| * **Presentation**: | * **Presentation**: | ||
| * Prepare a 5 minute presentation (with slides) that summarises your review. | * Prepare a 5 minute presentation (with slides) that summarises your review. | ||
| * State the topic / problem, the context, and the direction you intend to pursue (your research questions). | * State the topic / problem, the context, and the direction you intend to pursue (your research questions). | ||
| - | * The presentation is graded on a 0 to 1 scale and will be used to scale the M1 score. | + | * Your M1 score will be determined based on the presentation. Both team members must contribute to the presentation. |
| * **Tips**: | * **Tips**: | ||
| * How to read research papers efficiently - [[https://dslsrv1.rnet.missouri.edu/resources/HowToReadAPaper.pdf | the 3-pass method]]. | * How to read research papers efficiently - [[https://dslsrv1.rnet.missouri.edu/resources/HowToReadAPaper.pdf | the 3-pass method]]. | ||
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| * Evaluate papers based on the **number of citations** (though newer papers may have fewer), year of publication and author credibility. | * Evaluate papers based on the **number of citations** (though newer papers may have fewer), year of publication and author credibility. | ||
| * Choose a topic that truly interests you. It will make the research process more engaging and enjoyable. | * Choose a topic that truly interests you. It will make the research process more engaging and enjoyable. | ||
| + | * **Upload M1 (Documentation)**: [[https://curs.upb.ro/2025/mod/assign/view.php?id=24449|Upload]] must contain title and authors. | ||
| | | ||
| - | == 2. M2 (18.11.24) - Dataset Collection and Baseline Results (1p) == | + | == 2. M2 (27.11.25) - Dataset Collection and Baseline Results (0.5p) == |
| * **Objective**: Obtain the datasets required for your project and implement a baseline model for comparison. | * **Objective**: Obtain the datasets required for your project and implement a baseline model for comparison. | ||
| * **Action Items**: | * **Action Items**: | ||
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| * **Evaluation Metrics**: Choose appropriate metrics (e.g., accuracy, F1-score, ROC-AUC) and document initial performance. | * **Evaluation Metrics**: Choose appropriate metrics (e.g., accuracy, F1-score, ROC-AUC) and document initial performance. | ||
| * **Documentation (English, IEEE format)**: Submit a report section (2 pages excluding references) describing the dataset, preprocessing steps, baseline model, and results. | * **Documentation (English, IEEE format)**: Submit a report section (2 pages excluding references) describing the dataset, preprocessing steps, baseline model, and results. | ||
| - | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49438|Upload]] must contain title and authors. | ||
| * **Grading** | * **Grading** | ||
| * **(0.5p) Dataset description**: Description and rationale for the selected datasets, including dataset purpose, number of records, data quality, collection method, size, and feature description. | * **(0.5p) Dataset description**: Description and rationale for the selected datasets, including dataset purpose, number of records, data quality, collection method, size, and feature description. | ||
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| * **(0.3p) Initial results**: Presentation of baseline performance results | * **(0.3p) Initial results**: Presentation of baseline performance results | ||
| * **(0.1p) Result analysis**: Interpretation and insights from the obtained results. | * **(0.1p) Result analysis**: Interpretation and insights from the obtained results. | ||
| + | * **Upload M2 (Documentation and Code)**: [[https://curs.upb.ro/2025/mod/assign/view.php?id=24452|Upload]] must contain title and authors. | ||
| - | == 3. M3 (18.12.24) - Own Contribution (1p) == | + | |
| + | == 3. M3 (18.12.25) - Own Contribution (0.5p) == | ||
| * **Objective**: Develop and implement your original contribution to the field, either by addressing a new research problem or improving an existing approach. | * **Objective**: Develop and implement your original contribution to the field, either by addressing a new research problem or improving an existing approach. | ||
| * **Types of contributions**: | * **Types of contributions**: | ||
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| * Propose a hybrid model that combines multiple approaches (e.g., combining CNNs with decision trees). | * Propose a hybrid model that combines multiple approaches (e.g., combining CNNs with decision trees). | ||
| * **Documentation (English, IEEE format)**: Write a report section (2 pages excluding references) **justifying your chosen approach**, detailing your contribution, how it differs from existing work, and comparing your experimental results to the baseline and state-of-the-art. | * **Documentation (English, IEEE format)**: Write a report section (2 pages excluding references) **justifying your chosen approach**, detailing your contribution, how it differs from existing work, and comparing your experimental results to the baseline and state-of-the-art. | ||
| - | * **Upload Documentation and Code**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49446|Upload]] must contain title and authors. | ||
| * **Grading**: | * **Grading**: | ||
| * (0.3p) Clear and well-justified explanation of your contribution/s. | * (0.3p) Clear and well-justified explanation of your contribution/s. | ||
| * (0.5p) Implementation and results on selected dataset/s. | * (0.5p) Implementation and results on selected dataset/s. | ||
| * (0.2p) Result analysis, and comparison with the baseline. | * (0.2p) Result analysis, and comparison with the baseline. | ||
| + | * **Upload M3 (Documentation and Code)**: [[https://curs.upb.ro/2025/mod/assign/view.php?id=24454|Upload]] must contain title and authors. | ||
| - | == 4. M4 (08.01.25) - Final paper + Presentation (1p) == | + | |
| + | == 4. M4 (11.01.25) - Final paper + Presentation (1.5p) == | ||
| * **Objective**: Compile your project into a well-organised academic report. | * **Objective**: Compile your project into a well-organised academic report. | ||
| * **Action Items**: | * **Action Items**: | ||
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| * **Conclusion**: Summarise outcomes, limitations and suggest directions for future research. | * **Conclusion**: Summarise outcomes, limitations and suggest directions for future research. | ||
| * **Documentation (English, IEEE format)**: Submit a polished, formal academic report in IEEE format (8 pages excluding references). | * **Documentation (English, IEEE format)**: Submit a polished, formal academic report in IEEE format (8 pages excluding references). | ||
| - | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49445|Upload]] must contain title and authors. | ||
| * **Presentation (6 minutes)** - prepare a concise, visually clear presentation covering: | * **Presentation (6 minutes)** - prepare a concise, visually clear presentation covering: | ||
| * The problem addressed and its relevance. | * The problem addressed and its relevance. | ||
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| * Experimental results and your main contributions. | * Experimental results and your main contributions. | ||
| * Conclusions and potential areas for future research. | * Conclusions and potential areas for future research. | ||
| - | * Create well-polished slides with clear visuals, including figures, graphs and performance metrics. | + | * **Presentations tips**: create well-polished slides with clear visuals, including figures, graphs and performance metrics. |
| - | * **Evaluation**: The presentation will be graded based on clarity, depth of explanation, the quality of results and the Q&A section. The final project grade will be weighted based on the presentation quality. | + | * **Evaluation**: The presentation will be graded based on clarity, depth of explanation, the quality of results and the Q&A section. The M4 grade is determined based on the presentation quality. Both team members must contribute to the presentation. |
| - | * **Upload Presentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49444|Upload]] | + | * **Upload M4 (Documentation and Slides)**: [[https://curs.upb.ro/2025/mod/assign/view.php?id=24456|Upload]] must contain title and authors. |
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| ==== Grading System ==== | ==== Grading System ==== | ||
| * **Total Points** = M1 + M2 + M3 + M4 | * **Total Points** = M1 + M2 + M3 + M4 | ||
| - | * M1 and M4 will have their grade (G) scaled by the score of the presentation (P): TOTAL = G * P | ||
| - | === Examples of Project Ideas === | + | ---- |
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| + | ==== Examples of Project Ideas ==== | ||
| === 1. Bad Posture Detection === | === 1. Bad Posture Detection === | ||
