Office: 3167B Graves Hall
Class Hours: Tue & Thu 9:00–10:18am Location: 3167 Graves Hall
# |
Date |
Lecturer |
Topic |
| 1 | January 4 | Umit Catalyurek | Intoduction |
| 2 | January 9 | Ilya Ioshikes | Sequence Analysis |
| 3 | January 11 | Ilya Ioshikes | Gene Regulation (or Mass Spectrometry or RLGS) |
| 4 | January 16 | Daniel Janies | Sequence Databases |
| 5 | January 18 | Daniel Janies | Phylogenetics: Basic theory, optimization (tree search) and parallelization |
| 6 | January 23 | Scott Oster/Shannon Hastings/Stephen Langella | caBIG – overall architecture |
| 7 | January 25 | Metin Gurcan | Computer-Aided Diagnosis - 1 |
| 8 | January 30 | Metin Gurcan | Computer-Aided Diagnosis - 2 |
| 9 | February 1 | Ashish Sharma/Tony Pan | IVI middleware |
| 10 | February 6 | Kun Huang | Image Analysis, Visualization, Classification |
| 11 | February 8 | Kun Huang | Image Analysis on Microscopy |
| 12 | February 13 | Students | Paper presentation |
| 13 | February 15 | Students | Paper presentation |
| 14 | February 20 | Philip Payne | Clinical information systems |
| 15 | February 22 | Philip Payne | Translational research |
| 16 | February 27 | Umit Catalyurek | Microarray – Design and Analysis |
| 17 | March 1 | Umit Catalyurek | Biomedical Informatics and High Performance Computing |
| 18 | March 6 | Students | Term Project Presentation |
| 19 | March 8 | Students | Term Project Presentation |
| March 13,15 | Exam Week | No class |
Grading:
| Class participation | 10% |
| Homework(s) | 15% |
| Paper presentation | 20% |
| Progress Report | 10% |
| Term Project Report | 30% |
| Term Project Presentation | 15% |
Term Projects:
Project Proposals are due Jan 18th, 2007
Progress reports are due Feb 15th, 2007
Final reports are due March 13th, 2007
Sample topics:
- Image Analysis: Implement a software system that will automatically retrieve images from a PACS system (BMI will run a software PACS system on its own machines) and will execute an image analysis code, such as segmenting nuclei
- DICOM/PACS: Design, architect and implement a picture archival system that will run on distributed heterogeneous cluster of machines.
- Classification of tumors and identification of differentially expressed genes using gene expression data.
Reports and homeworks are due at the beginning of class (9am) on the due date.

