Fall 2005
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| COM SCI 259 Current Topics in Computer Science: System Design/Architecture | |||||||
| LEC 1 POTKONJAK, M. | |||||||
| ID Number | Type | Sec | Days | Start | Stop | Bldg | Rm |
| 587357200 | LEC | 1 | TR | 2:00P | 3:50P | BOELTER | 5252 |
| Title:
Large Scale Optimization and Data Driven Statistical Modeling:
Paradigms, Tools, and Applications
The course covers advanced topics in applied large scale optimization and statistical modeling techniques ranging from various types of heuristics and iterative improvement techniques to simulated annealing and large neighborhood search to integer linear programming (ILP) to nonlinear programming (NLP) to search techniques and to basic non-parametric statistics (e.g. smoothing, non-linear regression, maximum likelihood). The emphasis is on intuition, practical issues and in particular on applications in computer science, computer engineering, electrical engineering and emerging new scientific fields. The class will have three large homeworks that aim to enable students learn how to use ILP and NLP and how to use basic modeling software (R) and techniques. We will use data sets and traces from deployed systems. Grade Basis: The homeworks will be assigned to small teams (2 students). The grading will be done using scores on homeworks (75%) and class participation and presentations (25%). | |||||||
| COM SCI 289A Current Topics in Computer Theory | |||||||
| LEC 1 SAHAI, A. | |||||||
| ID Number | Type | Sec | Days | Start | Stop | Bldg | Rm |
| 587545200 | LEC | 1 | MW | 4:00P | 5:50P | MS | 5203 |
| Title: Advanced Topics
in Cryptography This course will cover cutting-edge research papers in cryptography. Prerequisites:A strong mathematical foundation and complete comfort with writing and understanding mathematical proofs. Grading: TBD | |||||||