Available courses
CMPE 156/L: Network Programming
- Anujan Varma: Anujan Varma
CMPE 150/150L: Introduction to Computer Networks
- Teacher: Anujan Varma
- Teacher: Gabriel Southern
- Teacher: Manikandan Punniyakotti
- This course presents theories and practices in Human-Computer Interaction that allow development of user interfaces that are fit for the purposes of their diverse users in a variety of contexts. It informs students how to gather user requirements, create prototypes, and conduct evaluations to verify the design.
Game Engine Programming
- Teacher: Arnav Jhala
- Logic in Computer Science
- This quarter the topics will focus on modern SAT solvers
(SAT meaning propositional satisfiability) and QBF solvers.
(QBF stands for quantified boolean formula.)
Applications will be studied according to student interests.
- Analysis of Algorithms is a required graduate class for CS and CE, at least.
- Introductory programming for students who have no prior programming experience. Students learn programming and documentation skills as well as algorithmic problem-solving and programming methodologies. Introduces computers, compilers, and editors. Students write medium-sized programs. This course and courses 5J and 5P cover the same material, but use different programming languages. (Formerly course 60N.) (General Education Code(s): IN, MF - Mathematical and Formal Reasoning)
- Cloud computing is rapidly changing how people and organizations deal with large data sets. Some prominent examples of this sea change are the widespread adoption of map/reduce for data analytics on massive data sets, the proliferation of vendors that offer elastic storage and database services (e.g., Amazon's S3 and SimpleDB services), and the numerous research and commercial projects that develop database systems running ``in the cloud''. The course will cover the leading research efforts in this arena with an emphasis on systems. The material is mostly based on published research papers, but it will also include white papers of industrial systems. Enrolled students will be expected to give in-class presentations of research papers, and also to complete a project relevant to the topic of the course.
- Graduate level analysis of algorithms
- Course Description
Concepts, approaches, tools, and methodology of database design. Topics include the entity-relationship model; the relational data model; normal forms; commercial languages such as SQL (SQL constraints, SQL triggers, and update languages); query-by-example (QBE); XML data model, and XML query language (XQuery); as well as relational database-management support for XML and object-relational features in database-management systems. Involves a database -application development project.
Prerequisite(s): course 12B. Course intended for non-majors; computer science majors should enroll in course 180.
- CS203 is designed to acquaint graduate students with basic ideas behind modern programming language design, including the study of operational and axiomatic semantics and type systems.
In addition to the topics studies in class, students will have the opportunity to consider other related topics of interest in the form of a course project. *Primary Topic:*
How is all this technology we invent any good for anything. Poverty,
liberty, peace, environment? Seriously, why would we want to learn
about whatever it is we're learning? Ideally we'll cover a range of topics.
In practice I have read most in poverty reduction, this sub area is
starting to get called ICTD. But we will try to be broader. Privacy, games,
and assistive technologies are all things worked on by someone in SOE.
We'll read lots of papers, watch videos, etc.. Everything from cel phone
microscopes, rural kiosks, interfaces for the illiterate, to networking
when you have no power. Ideally, we'll come away with a
understanding of the current state of this emerging field, and an
answer to how each of us could apply our primary research to this area
if we were so inclined.
- Introduction to the basics of computer programming using the Python programming language for engineering or science students who have no prior programming experience. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduces students to computers, programming tools, and editors.
CMPS 12a, Introduction to Programming (Accelerated) Fall 2009
- Teacher: Allen Van Gelder
- Teacher: David Helmbold
This is an accelerated introduction to programming using the Java language- Introductory programming for students who have no prior programming experience. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduces computers, compilers, and editors. Students write medium-sized programs. The two-quarter sequence courses 5J and 11 cover in two quarters the same material as the accelerated introductory course and lab 12 A/L cover in one quarter. (Formerly course 60G.)
- The continuation of CMPS 5J.
- This course is an introduction to operating systems. Please see http://www.soe.ucsc.edu/courses/course?cmps111 for more information.
Course description:
Covers issues in the design, implementation, analysis, and specification of programming languages. Topics include formal semantics (including operational, axiomatic, and denotational semantics), advanced type systems, program analysis (including abstract interpretation and model checking), specification, and verification.
Prerequisites: CMPS203 Programming Languages, or a similarly semantics-oriented course in programming languages.
- Introductory programming for School of Engineering majors who have no prior programming experience. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduces computers, compilers, and editors. Students write medium-sized programs. The two-quarter sequence courses 5J and 11 cover in two quarters the same material as the accelerated introductory course and lab 12 A/L cover in one quarter.
- CS203 is designed to acquaint graduate students with basic ideas behind modern programming language design, including the study of operational and axiomatic semantics and type systems.
In addition to the topics studies in class, students will have the opportunity to consider other related topics of interest in the form of a course project. - This is the lab course that accompanies CMPS 12A.
- This course is designed primarily for SoE majors who have had some prior programming experience. The course focuses on the Java language. Topics include classes and methods, arrays, recursion, and inheritance.
- Introduction to programming for engineering or science students who have no prior programming experience. Students learn programming and documentation skills, as well as algorithmic problem-solving and programming methodologies. Introduces students to computers, programming tools, and editors. Students write medium-sized programs to solve web-based and scientific problems. This course and course 5J cover largely the same material, but use different programming languages.
- The continuation of CMPS 5J.