Fall 2007
CS 2x9 Course Descriptions
 
COM SCI 239 Current Topics in Programming Languages and Systems
LEC 1 PALSBERG, J.
ID Number Type Sec Days Start Stop Bldg Rm
587232201 LEC 1 MW 2:00P 3:50P BOELTER 5272
Title: Parallel Programming Languages
Motivation for the course: learn new programming abstractions that will be useful for programming multi-core computers. The course will be almost entirely about papers on parallel programming languages, most of them less than two years old. The professor will give half of the lectures, and the participants will give lectures too!
Recommended Prerequisites: One of
    CS 231: Types and Programming Languages
    CS 232: Static Program Analysis
    CS 234: Computer-Aided Verification

If you want to take the course and lack the prerequisite, please contact Prof. Jens Palsberg (palsberg AT cs DOT ucla DOT edu).
 
COM SCI 259 Current Topics in System Design and Architecture
LEC 1 POTKONJAK, M.
ID Number Type Sec Days Start Stop Bldg Rm
587357201 LEC 1 MW 2:00P 3:50P BOELTER 5273
Title: Modeling and Optimization Techniques for Computer Science and Engineering
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.
Recommended Prerequisites: There are no formal prerequisites.
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%).