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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 Fall 2024: Tu/Thu 1 - 2 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
- CSDS 433:
Database Systems (Spring 20 - 24, Summer 21, 23) [syllabus]
CSDS 433: Database
Systems (Fall 24) [Canvas]
Fall 24: Tu/Thu 8:30 am - 9:45 am, TBD
TA: TBD
Basic issues and advanced research topics in data management systems: Physical data organization. Relational databases; NoSQL/NewSQL systems. Semistructured Data. Data Constraints. Query Languages. Query Processing and Optimization. Approximate Query Processing. Distributed and Parallel Query Processing. Data Quality and Data Cleaning. Recommended preparation: MATH 304. CSDS 341.
Fall 24: Tu/Thu 8:30 am - 9:45 am, TBD
TA: TBD
Basic issues and advanced research topics in data management systems: Physical data organization. Relational databases; NoSQL/NewSQL systems. Semistructured Data. Data Constraints. Query Languages. Query Processing and Optimization. Approximate Query Processing. Distributed and Parallel Query Processing. Data Quality and Data Cleaning. Recommended preparation: MATH 304. CSDS 341.
For students: please access Canvas for course
resources and materials.
- CSDS 234:
Structured & Unstructured Data (Fall 19 - 23) [syllabus]
Fall 22: Tu/Thu 8:30 am - 9:45 am, Nord Hall 410
TA: Yangxin Fan, Mengying Wang
This course introduces fundamental and emerging data models (tables, XML/RDF, and unstructured text/image), storage, indexing, and query processing techniques to cope with new challenges from big data analytics and applications (e.g., 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)