05. Assessment
(1) A major aspect of assessment (20%) for this class is:
- Being in class every session.
- Actively participating in class every session. This means:
- Presenting when asked.
- Actively listening to presentations of other students
- Actively asking questions or making suggestions related to other student project presentations.
- Posting brief weekly progress reports. Each group to email the instructor by Friday of each week: head the email “DSC 550 weekly progress report” and include all members of the group in the progress report.
20% of the total grade for this class will be for the above activities. Most students will obtain this 20% simply by being present and being active each and every class session, and submitting brief progress reports each week to the instructor. If the instructor assesses you as falling behind in this regard they will speak to you and ask you to rectify your less than active participation.
(2) 15% of the total grade is for a mid-semester oral presentation of progress, of approximately 10-15 minutes. This will be a group presentation with each group member playing an active part in the oral presentation.
(3) The remaining 65% of the final grade is for production and presentation of a 20-30 minute video, or a conference style poster, or both, detailing a group’s work on their capstone project.
The final product – video or poster – is due on or before, but no later than, Monday April 28, 2025.
Examples of data science capstone project videos:
- Likhil Naik Vislavath 2024: Pneumonia Detection
- Abdul Hameed Mohammed 2024 : Chronic Kidney Disease
- Salvador Balkus 2022: Improving Natural Language Classification With Augmented Data From GPT-3
- Benjamin Pfeffer 2022: Generating Cancer Images to Improve Cancer Diagnosis Accuracy
- Brianna Johnson 2022: Protyping the UUV Docking Process with Machine Learning
- Sai Surya Nattuva 2022: Human Activity Classification from Accelerometer Data
- Satish Uppalapati 2022: Multi-Document Summarization using Maximal Marginal Relevance and Sentence Graph Compression
- Lauren Fletcher 2022: Database and User Interface Development for Study of Atlantic Cod Fish
- Emmanuel Oyedeji 2022: Numerical simulation of different coarsening processes for variable mobility function and alpha
- Satish Uppalapati 2022: Multi-Document Summarization using Maximal Marginal Relevance and Sentence Graph Compression
- Sarabjit Saini 2022: Visualization and Interaction of the Human Skeleton
- Nicholas Collins 2022: Fitchburg State Baseball Team Dashboard
- Andrew Anctil 2022: Deep Learning for Document Data Extraction and Classification
- Fatemeh Sadjadpour 2021: Applications of Statistical Inference Techniques to Neural Networks
- Marco Sousa 2021: An Introduction to Handwritten Digit Recognition Algorithms
- Siyi Ge 2021: Using NLP to Extract Salient User Reviews