| Category | Assignment | Subject | Management |
|---|---|---|---|
| University | Module Title | MGMT6016 Strategic Supply Chain Management |
| Assessment Type | Individual Assessment 2 |
|---|
| Semester: | 1 |
| Submission: | Via Blackboard through Turnitin |
This is an individual assessment covering the following learning outcomes:
The assignment is based on the historical Fresh Connection Company dataset.
Your tasks are:
| Criteria | 80-100% (High Distinction) | 70-79% (Distinction) | 50-69% (Pass/Credit) | 0-49% (Fail) |
|---|---|---|---|---|
| Data Quality – Identification of Issues (5 marks) | Accurately identifies all major issues with clear explanations. | Identifies most major issues with mostly clear explanations. | Identifies some issues with unclear or incomplete explanations. | Fails to identify significant issues or provides inaccurate explanations. |
| Data Quality – Cleaning Techniques (5 marks) | Applies appropriate techniques with clear documentation and rationale. | Applies most techniques with partial documentation or rationale. | Applies some basic techniques but lacks effectiveness or clarity. | Fails to apply techniques or provides incorrect solutions. |
| Data Exploration – Descriptive Statistics (7.5 marks) | Calculates and interprets relevant statistics with clear explanations. | Calculates statistics but may not fully interpret them. | Calculates limited statistics with unclear interpretations. | Fails to calculate or interpret statistics. |
| Data Exploration – Visualizations (7.5 marks) | Creates informative and well-designed visualizations with clear explanations. | Creates some visualizations but may lack clarity or relevance. | Creates limited or poorly designed visualizations. | Fails to create meaningful visualizations. |
| Data Exploration – Patterns and Outliers (7.5 marks) | Identifies and interprets patterns with explanations of their impact. | Identifies some patterns but lacks full explanations. | Identifies limited patterns with unclear explanations. | Fails to identify significant patterns or outliers. |
| Data Exploration – Relationships between Variables (7.5 marks) | Explores relationships using appropriate techniques and interprets results. | Explores relationships but lacks clear explanations or appropriate techniques. | Explores limited relationships with unclear findings. | Fails to explore relationships or uses inappropriate techniques. |
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