Courses / Computer Science CurriculumCS Depth: Systems
The courses below fulfill the Depth: Systems requirement in computer science.
This course introduces students to the key features of programming languages. Students implement a series of interpreters that nail down the precise details of how various aspects of programming languages behave. Students are assumed to understand trees and (mathematical) functions that process them; the course builds up to the features of real programming languages from there.
The compiler is the programmer's primary tool. Understanding the compiler is therefore critical for programmers, even if they never build one. Furthermore, many design techniques that emerged in the context of compilers are useful for a range of other application areas. This course introduces students to the essential elements of building a compiler: parsing, context-sensitive property checking, code linearization, register allocation, etc. To take this course, students are expected to already understand how programming languages behave, to a fairly detailed degree. The material in the course builds on that knowledge via a series of semantics preserving transformations that start with a fairly high-level programming language and culminate in machine code. This course satisfies the project requirement.
Data communication basics, Telephone, cellular, cable and computer networks, Layered network architectures, models, and protocols, Switching, routing, flow control, and congestion control, Medium access control, ARQ, and local area networks. Queueing models and network performance analysis. This course fulfills the Systems Depth requirement.
Data models and database design. Modeling the real world: structures, constraints, and operations. The entity relationship to data modeling (including network hierarchical and object-oriented), emphasis on the relational model. Use of existing database systems for the implementation of information systems. This course satisfies the project requirement.
A top-down exploration of networking using the 5-layer model and the TCP/IP stack. HTTP, FTP, DNS, BSD Sockets, concurrent servers, checksums, reliable transport with stop-and-wait, go-back-n, selective repeat, flow control, congestion control, TCP, unicast routing, multicast routing, router architecture, IP, IPv6, IP multicast, MAC protocols and LANs, Ethernet , wireless networks, and network security. Over the course of the quarter, students build web clients and servers, a fully compatible TCP/IP stack that can run them, and evaluate routing protocols in simulation. This course satisfies the project requirement.
A fundamental overview of operating systems. Topics covered include: Operating system structures, processes, process synchronization, deadlocks, CPU scheduling, memory management, file systems, secondary storage management. Requires substantial programming projects. Approved for Systems Breadth and Depth in the CS curriculum in McCormick and Weinberg This course satisfies the project requirement.
Basic principles behind distributed systems (collections of independent components that appear to users as a single coherent system) and main paradigms used to organize them. This course satisfies the project requirement
The past decade has seen an explosion in the concern for the security of information. This course introduces students to the basic principles and practices of computer and information security. Focus will be on the software, operating system and network security techniques with detailed analysis of real-world examples. Topics include cryptography, authentication, software and operating system security (e.g., buffer overflow), Internet vulnerability (DoS attacks, viruses/worms, etc.), intrusion detection systems, firewalls, VPN, Web and wireless security. Students with good performance in the class will be awarded researchship in the academic year and/or the summer. This course can help satisfy the project course requirement for undergraduates and satisfy the breadth requirement in computer systems for system Ph.D. students. This course satisfies the project requirement
This course will focus on remote computer penetration (hacking). The class will introduce basic theory for many different types of attacks; then we will actually carry them out in 'real-world' settings. The goal is to learn security by learning how to view your machine from a hacker's perspective. In addition, we encourage students to participate in the UCSB International Capture the Flag Competition. Capture the Flag is a network security exercise where the goal is to exploit other machines while defending your own. In fact, this course should prepare you for any one of many capture the flag competitions that take place year round.
Introduction to parallel computing for scientists and engineers. Shared memory parallel architectures and programming, distributed memory, message-passing data-parallel architectures, and programming.
Design and understanding of the computer system as a whole unit. Performance Evaluation and its role in computer system design; Instruction Set Architecture design, Datapath design and optimizations (e.g., ALU); Control design; Single cycle, multiple cycle and pipeline implementations of processor; Hazard detection and forwarding; memory hierarchy design; Cache memories, Virtual memory, peripheral devices and I/O.
This course focuses on developing and optimizing applications software on massively parallel graphics processing units (GPUs). Such processing units routinely come with hundreds to thousands of cores per chip and sell for a few hundred to a few thousand dollars. The massive parallelism they offer allows applications to run 2x-150x faster than on conventional multicores. However, to reach this performance improvement, the application must fully utilize the computational, storage and communication resources provided by the device. This course discusses state-of-the-art parallel programming optimization methods to achieve this goal. Ideally this course will bring together people with strong programming skills, with people with a strong need for solving compute-intensive problems that can benefit from programming graphics processors. The initial part of the course will discuss a popular programming interface for graphics processors, the CUDA programming tools for NVIDIA processors. The course will continue with a closer view of the internal architecture of graphics processors and how it impacts performance. Finally, implementations of applications and algorithms on graphics processors will be discussed. The course is lab intensive, and it will utilize the machines at the Wilkinson Lab. Students taking the course for EECS-395 credit will work on a well-defined final mini project that utilizes advanced parallel programming, data layout, and algorithm decomposition concepts. Students taking the course for EECS-495 credit will work on a quarter-long open-ended final project that draws upon their own interests and line of research. Ideally, in their final project these students will form interdisciplinary teams and complete the first steps of optimizing a real-world compute-intensive problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.). This course fulfills the Systems Depth requirement.
This course will provide coverage of the basic hardware and software platforms for sensor networks and will address in detail several algorithmic techniques for data routing, querying processing, and topology management. The students will obtain hands-on experience through programming projects involving TinyOS or MantisOS, running on Telos/MicaZ platforms. In addition, a number of prototype systems, such as TinyDB will be studied, in the context of various application domains of sensor networks.
Introduction to the design and evaluation of embedded systems, with emphasis on the system-level aspects of embedded systems. Topics include modeling (models of computation and models of communication), survey of embedded system hardware, software and operating system issues specific to embedded system design, mapping specifications to hardware, and testing and evaluation of embedded systems.
- NOTE: 2015 FALL COURSE CANCELLED - You will not get the automatic speedup for your software when you upgrade to a new computer, since the frequency scaling is virtually stopped, and you only get more cores on new machines. For speed, you have to do concurrent programming for multicores. This course will teach you how to do it effectively. We will start with synchronization primitives, mutual exclusion, and consensus, and talk about different programming models such as multi-threading, locking, and transactional memory. We will also discuss how to debug and check concurrent programs, which may give your different behaviors at different executions.
In this seminar, we will survey the fundamentals of data science by reading state of the art research papers in this area. This class will cover the basics of how to manipulate, integrate, and analyze data at scale. To receive credit, students must give in-class presentations and complete a final project.
This course will cover a broad range of topics related to networking problems in cloud computing, including network structure of Internet Data Centers, layer 2 data network fabric, lease management and partitioning, data placement for geo-distributed cloud services, energy efficient cloud design, flow scheduling, congestion control, i.e., the incast problem, and more.
Requirements of large-scale computer systems and networks; space, power, environmental control, operational software and security; planning, data centers, network operations centers, national and international regulations and practices.
The development of low-level software such as drivers, kernels, hypervisors, run-times, system libraries, JITs, and firmware is very different from the development of applications. The goal of this class is to teach students how such development is done, both in terms of the modes of thinking needed to design, implement, debug, and optimize low-level software, and in terms of how to leverage representative, widely-used tools to do so. Some of the techniques the class covers are also used in the design and optimization of the performance-critical parts of applications.
This is a project-based course. We will be studying the fundamentals of a new emerging field Wireless and Mobile Health by first reading state of the art research papers in this field, and second by interacting and building systems and devices. We will study how to test and advance the limits of technology in understanding and improving people’s health behaviors.
Modern, safe programming languages such as Java and Python have become increasingly accepted for application-level programming, but for systems programming, which often requires precise, low-level control of system resources, programmers still turn to C and C++. The new programming language Rust, under development by Mozilla, promises the best of both worlds: the type safety of Java with the speed and expressiveness of C++. Through discussions, lectures, and programming exercises, students will learn how to program in Rust and to use its resource ownership model effectively. Rust is especially well suited for our particular focus, concurrent programming, so students will use Rust as a vehicle for exploring both classic concurrency problems and more contemporary concerns.
This course will examine methods for APT detection by introducing various topics in the broad areas of intrusion detection, alert correlation, containment and recovery. Simultaneously, more foundational topics on information flow analysis and graph analytics will be covered.
This course will focus on Digital Forensics and Incident Response (Investigations). This class will introduce the basic theory of Digital Forensics and in the lab, we will actually apply the knowledge in practical scenarios. The goal is to learn how to investigate the digital artifacts left on hard drives, logs and other networking devices. The course shall prepare you to conduct data preservation and analysis on Windows, Linux and Macintosh platforms. Students will also get exposure to the Techniques, Tactics and Procedures (TTPs) of the prominent Threat Actors and will learn to conduct digital investigations with a sound process.
The Internet has evolved from a small, well controlled, and trusted network, into a gigantic, loosely controlled, and highly uncooperative infrastructure of astonishing scale and complexity. Not only that different hosts or networks have divergent functional or economical interests, but the Internet has become a “playground” for malicious denial-of-service attackers of all kinds. Moreover, its everyday operation is often poorly understood, and existing solutions to many of the classical challenges remain unsatisfactory. Hence, the design of Internet is far from complete, and it is certain that it will continue to change. This class is intended to help you understand how and why, by letting the Internet to become your “playground” for a quarter.
The bulk of the time in this class examining a virtual machine monitor (VMM) in depth, at the source code level. The course explains the hardware/software interface of a modern x86 computer in detail. A VMM is an operating system that is implemented directly on top of the hardware interface, and itself presents a hardware interface to higher-level software. Students will also acquire valuable kernel development skills. This course satisfies the project requirement
Advanced operating systems. Topics covered include: Approved for Systems Breadth and Depth in the CS curriculum in McCormick and Weinberg This course satisfies the project requirement.