ECI 245A: Applied Environmental Chemistry

Civil & Environmental Engineering

MW, 12:10-2
Professor Young -4 Units
Prerequisite: Engineering 105, Chemistry 2B or the equivalent, course 140; Chemistry 2C or 107A recommended.
Lecture: 4 hours.  Chemistry of natural and polluted waters. Topics include chemical, kinetic and equilibrium principles, redox reactions, gas solution and solid-solution equilibria, thermodynamics, carbonate systems, coordination chemistry, interfacial phenomena.

ECS 236: Computer Security Intrusion

Computer Science

TR, 6:10-7:30pm
Professor Karl N. Levitt
Units – 4
Prerequisite: ECS 150; ECS 153 recommended
Lecture: 3 hour.   Concepts of intrusion detection, anomaly detection based on machine learning, signature-based detection using pattern matching, automated response to attacks using artificial intelligence planning, tracing intruders based on principal component analysis, security policy languages.

ECS 251: Operating Systems

Computer Science

TR, 10:30-11:50
Professor S. Felix Wu
Units – 4
Prerequisite: ECS 150
Lecture: 3 hour.     Models, design, implementation, performance evaluation in operating systems. Algorithms, internal architectures for single processor OS and distributed systems. Concurrency control, recovery, security. OS kernel-level programming. Special topics embedded systems, real-time system, device driver, NPU (Network Processor Unit).

MAE 237: Analysis and Design of Composite Structures

Mechanical and Aerospace Engineering

MW, 12:10-2
Professor LaSaponara
Units:  4
Prerequisite: Engineering 104 or equivalent
Lecture: 4 hours.  Modeling and analysis methodology for composite structures including response and failure. Laminated plate bending theory. Introduction to failure processes. Includes discussion of aerospace structural analysis.

ECS 271: Machine Learning and Discovery

Computer Science

TR, 4:40-6:00
Professor Davidson
Units – 4
Prerequisite: ECS 170
Lecture: 3 hour.   Project: 1 hour.  Artificial intelligence techniques for knowledge acquisition by computers.  Fundamental problems in machine learning and discovery.  Systems that learn from examples, analogies, and solved problems.  Systems that discover numerical laws and qualitative relationships.  Projects centering on implementation and evaluation.

MAE 217: Combustion

Mechanical and Aerospace Engineering

MW, 2:10-4
Professor Shaw
Units:  4
Prerequisite: Engineering 103 & 105  & EME 106
Lecture: 3 hours.  Discussion:  1 hours. Restricted to graduate students.  Review of chemical thermodynamics and chemical kinetics.  Discussion of reacting flows, their governing equations and transport phenomena; detonations; laminar flame structure and turbulent combustion.

EMS 274: Advanced Mechanical Properties of Materials

Chemical Engineering & Materials Science

MTWR  9-9:50
Professor Susan Gentry
Units:  4
Prerequisite:  EMS 174
Lecture: 4 hours.  Comprehensive study of mechanical properties of materials, with special attention to dislocations and deformation and fracture control mechanisms. Mechanical properties of conventional engineering materials as well as advanced materials such as nanocrystalline solids and thin films are considered.

ECS 272: Information Visualization

Computer Science

MW, 6:10-7:30pm
Professor Ma
Units – 4
Prerequisite: ECS 163 (Information Interfaces) or ECS 175 (Computer Graphics)
Lecture: 3 hour.   Advanced topics in information visualization: perceptually effective display methods, color design and selection, interaction models and techniques, focus-context techniques, distortion methods, large graph visualization techniques, visual data mining methods, and evaluation methods.