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Yinghui Wu Theodore L. and Dana J. Schroeder Associate Professor Department of Computer & Data Sciences Case School of Engineering Case Western Reserve University |
Olin 515 2101 Martin Luther King Jr Dr, Cleveland, OH 44106 Office: 216.368.8829 Email: yxw1650_at_case_dot_edu Homepage: https://yinghwu.github.io/ |
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Office Hours Spring 2025: Tu/Thu 2 - 3 pm, Olin 515 (zoom: see CWRU Google Calendar)
To Academic advisees: you may propose a 10-15 minutes slot on Google Calendar:
log in with your CWRU id; put my name under "Meet with" and you can see my available slots)
Teaching (Spring '25)
- CSDS 433: Database Systems (Spring 25; online) [Canvas][Syllabus]
Evening session: every Thu 8 - 9 pm
TA: Mingjian Lu,
Sixu (George) Li
Fundamental and advanced research topics in data management systems: Relational databases and Relational Algebra. NoSQL/NewSQL. Semistructured Data. Data Constraint Theory. Query Processing and Optimization. Approximate Query Processing. Distributed and Parallel Query Processing. Data Quality and Data Cleaning. DB4AI and AI4DB. Recommended preparation: MATH 304. CSDS 341.
Fundamental and advanced research topics in data management systems: Relational databases and Relational Algebra. NoSQL/NewSQL. Semistructured Data. Data Constraint Theory. Query Processing and Optimization. Approximate Query Processing. Distributed and Parallel Query Processing. Data Quality and Data Cleaning. DB4AI and AI4DB. Recommended preparation: MATH 304. CSDS 341.
For students: please access Canvas for course resources and
materials.
- CSDS 234: Structured
& Unstructured Data (Spring 25) [Canvas][Syllabus]
Tu/Thu 8:30 am - 9:45 am, Olin 305
TA: Andrew Tran, Yiran Qiao
This course introduces fundamental and emerging data models (tables, XML, RDF, and unstructured text, image, multimedia data), storage, indexing, and query processing techniques to cope with new challenges from big data applications (such as Web knowledge, Q&A systems, recommendation, and security). The project-oriented course also introduces and practice design principles of data systems including NoSQL and knowledge bases.
For students: please access Canvas for course resources and materials.
- Automata and Formal Languages (Fall 17-18)
- Big Data (Fall 15-18)
- Advanced Databases (Spring 17-19)
- Data Mining (Fall 13)
- Advanced Topics in Web Databases (2010-2011)
- Research Topics in
Distributed Databases (2011)