Differences
This shows you the differences between two versions of the page.
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dsm:assignments:01 [2024/10/14 16:31] ioan_adrian.cosma |
dsm:assignments:01 [2025/01/04 15:32] (current) emilian.radoi [Project] |
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| * **Implement** their chosen project idea, building a model or system that addresses a specific medical data science problem. | * **Implement** their chosen project idea, building a model or system that addresses a specific medical data science problem. | ||
| * **Evaluate** their approach using appropriate metrics (accuracy, precision, recall, etc.), and compare results to existing state-of-the-art methods. | * **Evaluate** their approach using appropriate metrics (accuracy, precision, recall, etc.), and compare results to existing state-of-the-art methods. | ||
| - | * **Document** their progress and findings in both a formal report and presentation. | + | * **Document** their progress and findings in both a formal report and presentation, in **English**. |
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| === Milestones and Deliverables === | === Milestones and Deliverables === | ||
| - | == 1. Milestone 1 (M1) - Related Work / State-of-the-Art Review (1p) == | + | == 1. M1 (04.11.24) - Related Work / State-of-the-Art Review (1p) == |
| * **Objective**: Define the research context by reviewing and summarising related work in the area you are addressing. | * **Objective**: Define the research context by reviewing and summarising related work in the area you are addressing. | ||
| * **Action Items**: | * **Action Items**: | ||
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| * Summarise the current state-of-the-art methods in the field. | * Summarise the current state-of-the-art methods in the field. | ||
| * Identify gaps in the research or areas for potential improvement. | * Identify gaps in the research or areas for potential improvement. | ||
| - | * **Documentation**: 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**: 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, in **English**. |
| + | * **Upload Documentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49434|Upload]] (Must contain title and authors) | ||
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| - | == 2. Milestone 2 (M2) - Dataset Collection and Baseline Results (1p) == | + | == 2. M2 (18.11.24) - Dataset Collection and Baseline Results (1p) == |
| * **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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| * Obtain preliminary results to compare against future improvements. | * Obtain preliminary results to compare against future improvements. | ||
| * **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**: Submit a report section (2 pages excluding references) describing the dataset, preprocessing steps, baseline model, and results. | + | * **Documentation ** (IEEE conference paper 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]] | ||
| - | == 3. Milestone 3 (M3) - Own Contribution (1p) == | + | == 3. M3 (18.12.24) - Own Contribution (1p) == |
| * **Objective**: Implement your novel contribution to the field, either by solving a new problem or improving an existing method. | * **Objective**: Implement your novel contribution to the field, either by solving a new problem or improving an existing method. | ||
| * **Types of Contributions**: | * **Types of Contributions**: | ||
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| * Apply a novel training strategy, such as self-supervised learning or data augmentation techniques. | * Apply a novel training strategy, such as self-supervised learning or data augmentation techniques. | ||
| * 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**: 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** (IEEE conference paper 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]] | ||
| - | == 4. Milestone 4 (M4) - Project Report (1p) == | + | == 4. M4 (08.01.25) - Project Report (1p) == |
| * **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**: Summarize the outcomes, limitations, and future work. | * **Conclusion**: Summarize the outcomes, limitations, and future work. | ||
| * **Documentation**: Submit a polished, formal academic report in IEEE format (8 pages excluding references). | * **Documentation**: 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]] | ||
| - | == 5. Milestone 5 (M5) - Project Presentation (percentage-based grading) == | + | == 5. M5 (08.01.25) - Project Presentation (percentage-based grading) == |
| * **Objective**: Present your project and findings to the class. | * **Objective**: Present your project and findings to the class. | ||
| * **Action Items**: | * **Action Items**: | ||
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| * Create well- polished slides with clear visuals, including figures, graphs, and performance metrics. | * Create well- polished slides with clear visuals, including figures, graphs, and performance metrics. | ||
| * **Evaluation**: Your 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 by your presentation quality. | * **Evaluation**: Your 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 by your presentation quality. | ||
| + | * **Upload Presentation**: [[https://curs.upb.ro/2024/mod/assign/view.php?id=49444|Upload]] | ||
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