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Computer Science Course Information
|Course No.||CIS 744||Sections||001, 851|
|Title||Data Mining & Management in Bioinformatics|
|Prerequisite(s)||Knowledge of C/C++ and SQL or permission from the instructor|
|Instructor|| Jason Wang
|Instructor Office Hours|
|Description||Reviews entity-relationship diagrams and relational database design and their use in modeling biological data. Surveys public genomic databases and tools for managing these databases. Addresses issues concerning data cleaning and integration of multiple biological databases available on the intra and internet. Covers concepts and principles of data management in bioinformatics. Presents methods for indexing, querying, and mining data obtained from molecular and evolutionary biology. Hands-on experience concerning designing a simple information system for querying and mining genomic data using ORACLE and SQL.
|Topics||This course covers the concepts and techniques of
1. Bioinformatics Data Mining and Management
2. Biosequence Matching and Mining
3. Multiple Sequence Alignment
4. Phylogenetic Data Management
5. Molecular Evolution
6. Graph Matching, Searching and Mining
7. Data Cleaning and Integration
8. Advanced Data Mining and Management in Bioinformatics
9. New Applications
|Text Book(s)||Status: Optional, not required
Book Title: Algorithms on Strings, Trees, and Sequences: Computer Science
and Computational Biology
Author(s): Dan Gusfield
Publisher: Cambridge University Press
Edition: 1st edition
Status: Optional, not required
Book Title: Data Mining in Bioinformatics
Author(s): Jason T. L. Wang, Mohammed J. Zaki, Hannu T.T. Toivonen,
Dennis Shasha (Editor)
Edition: 1st edition
|Time & Place||Wednesdays 10:00 AM - 12:55 PM, Kupf 205 & DL
|Other Info||Academic Honor Code
There will be 3 assignments, 1 term project, 1 term paper and a final exam.
Assignments -- 30%, Term project -- 20%, Term paper -- 20%, Final exam -- 30%.
A: 88% or above; B+: 84% or above; B: 78% or above; C+: 72% or above; C: 60% or above.
Honor and Policy
Students found cheating, plagiarizing, or collaboration (collaboration is allowed for those working together in approved team projects) will be immediately referred to the Dean of Students and the NJIT Committee on Professional Conduct and subject to Disciplinary Probation, a permanent marking on the record, possible dismissal, and an "F" grade in the course. All submitted assignments will be checked for similarities, and plagiarism and guilty students identified.
In the exam, each student is required to sign the Honor Code Agreement "On my honor, I pledge that I have not violated the provision of the NJIT Student Honor Code."