Course Description: In this course students learn basics about the Internet of Things, what it is, why this is happening now and a number of important software platforms, protocols (e.g. MQTT or CoAP) as well as important application verticals such as smart city, eHealth and smart agriculture.
Area: Systems
Computer Science 180 (Computer Graphics or equivalent)
This course gives an
introduction to quantum computing with an emphasis on the computer science part of the field.
Topics that will be covered are: elementary quantum mechanics, quantum information, quantum gates and circuits, quantum circuit complexity, teleportation, quantum cryptography, Shor's quantum algorithm for factoring integers and discrete logarithms, Grover's quantum searching algorithm, lower bounds in quantum computation, and the future of the field
With the increasing diversity and complexity of modern computers and irregular applications from domains like graphics, social networks, and data mining, the development of efficient, reliable software has become increasingly dependent on automatic support from compilers and other program analysis and translation tools. This course covers principal topics in programming languages and compiler technology for program understanding, optimization, and parallelization.
Here's the topic from the first offering in 2017: http://william.cs.ucsb.edu/courses/index.php/Winter_2017_CS190I_Introduction_to_Natural_Language_Processing
but now the course has been changed into dual listing, so for the graduate students taking the course,
they need to complete an additional class project.
This course covers advanced topics on information retrieval, web search, and related scalable information systems. The topics include search engines and advertisements, web crawling, classification, indexing and data serving, ranking and recommendation, user behavior analysis, and online services. This course will also cover system and middleware support for building related large-scale Internet services.
This is a graduate-level course on deep learning for text analysis. We will discuss newest publications on information extraction, knowledge graph construction, question answering and dialog system. Each student is expected to give one hour presentation and complete a research project.
Cryptography provides techniques, mechanisms, and tools for private and authenticated communication, and for performing secure and authenticated transactions over the Internet as well as other open networks. It is highly probable that every single bit of information flowing through our networks will have to be either encrypted and decrypted or signed and authenticated in a few years from now. This infrastructure is needed to carry over the legal and contractual certainty from our paper-based offices to our virtual offices existing in the cyberspace.