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DepartmentÌý´Ç´Ú Computer Science and Engineering

Professors Emeritus: Ronald L. Danielson, Daniel W. Lewis

Professors:ÌýRuth E. Davis, Silvia M. B. Figueira (Regis and Dianne McKenna Professor and Department Chair), Nam Ling (Wilmot J. Nicholson Family Professor)

Associate Professors:ÌýMargareta Ackerman, Ahmed Amer, Darren C. Atkinson, Behnam Dezfouli, Yi Fang, Xiang Li, Ying Liu, Yuhong Liu, Weijia Shang

Assistant Professors:ÌýDavid C. Anastasiu, Younghyun Cho, Sean Choi, I-Han Hsiao, Shiva Jahangiri, Kai Lukoff

Lecturers:ÌýSalem Al-Agtash, Farokh H. Eskafi, Angela Musurlian

The Department of Computer Science and Engineering offers major programs leading to the bachelor of science in computer science and engineering, or the bachelor of science in web design and engineering. The computer science and engineering program features a balanced core in which each student studies the engineering aspects of software and hardware as well as the mathematical foundations of computation. Computer science and engineering electives permit students to build on this core with varying emphasis, depending on their interests. The web design and engineering program combines a technical education in computing with courses in graphic art, communication, and sociology to enable its graduates to understand the engineering infrastructure of the Web, how the Web affects society, and how the ways in which society uses the Web create new demands on technology. Instruction and research in the department’s programs are supported by the facilities of the Engineering ÌýComputingÌýCenter and the University’s Information Technology Center.

Requirements for the Majors

Bachelor of Science in Computer Science and Engineering

In addition to fulfilling the undergraduate Core Curriculum requirements for a bachelor of science degree in the engineering school, students majoring in computer science and engineering must complete a minimum of 192 units and the following departmental requirements (together with associated labs):

English

• ENGL 181

Mathematics and Natural Science

• MATH 11, 12, 13, 14
• AMTH 106 or an advisor-approved mathematics or natural science elective*
• AMTH 108
• MATH 53 or CSCI 166 or AMTH 118
• CHEM 11 or CHEMÌý11T or an advisor-approved natural science elective*
• PHYS 31, 32, 33

*Pre-approved replacements for CHEM 11: AP Biology (score of 4 or 5), AP Environmental Science (score of 4 or 5), BIOL 18,Ìý21, 22,ÌýCHEM 1, ENVS 21, and PHYS 34; pre-approved substitutions for AMTH 106: CHEM 12, MATH 101–178, or any CHEM 11 replacement (if not used to replace CHEM 11).

Engineering

• ENGR 1
• ECEN/ELENÌý21 (or CSEN/COEN 21), 50, 153
• CSEN/COEN10 (or demonstrated equivalent programming proficiency)
• CSEN/COENÌý11, 12, 19, 20, 79, 122, 146, 171, 174, 175, 177, 179
• CSEN/COENÌý192, 194 (or ENGR 194),ÌýCSEN/COENÌý195 (or ENGR 195),ÌýCSEN/COENÌý196 (or ENGR 196)

Computer Science and Engineering Electives

• Three upper-division courses (totaling at least 12 units) selected fromÌýCSEN/COENÌý101–180, ECEN/ELENÌý115,Ìýor 133, in an emphasis area selected in consultation with an academic advisor

Note: 6 units ofÌýCSEN/COENÌý193 or 4 units ofÌýCSEN/COENÌý199 may be used as one elective, and at most one upper-division course from another department may be used as an elective, with advisor approval, and cannot also be used as a substitution for AMTH 106.

Educational Enrichment Electives

An educational enrichment experience selected from one of the following options:

• 8 or more units in a study abroad program that does not duplicate other coursework
• Admission to one of the school’s maste°ù’s degree programs and completion of at least the first 12 units of that program prior to completion of the undergraduate degree
• Undergraduate research with completion of 6 or more units ofÌýCSEN/COENÌý193 (cannot also be used to satisfy a CSEN/COENÌýelective)
• 12 or more units approved by an academic advisor. The courses must be part of a theme or be in the same department, and may not also be used to satisfy other requirements of the student’s primary major.Ìý

Bachelor of Science in Web Design and Engineering

In addition to fulfilling the undergraduate Core Curriculum requirements for a bachelor of science degree in the engineering school, students majoring in web design and engineering must complete a minimum of 175 units and the following departmental requirements (together with associated labs):

Arts, Humanities, and Social Science

• ENGL 181
• ARTS 74 orÌý174, 75 or 175, and 177
• COMM 12, 3, or 30,ÌýandÌý50
• SOCI 49 or 149

Mathematics and Natural Science

• MATH 11, 12, 13, 14
• AMTH 108
• Natural Science - any natural science course from the list approved by the University Core (/provost/core/explorations/#natural-science)

Engineering

• ENGR 1
• CSEN/COEN 10 (or demonstrated equivalent programming proficiency), 11, 12, (or CSCI 10, 60, 61)
• CSEN/COEN 60, 146, 161, 162, 163, 164, 169, 174
• CSEN/COEN 192, 194 (or ENGR 194), CSEN/COEN 195 (or ENGR 195), CSEN/COEN 196 (or ENGR 196)

Educational Enrichment Electives

• Same as for the bachelor of scienceÌýin computer science and engineering

Requirements for the Minor in Computer Science and Engineering

Students must fulfill the following requirements for a minor:

• CSEN/COEN 11 or CSCI 60
• CSEN/COEN 12 or CSCI 61
• CSEN/COEN 20
• ECEN/ELEN 21 (or CSEN/COEN 21)
• Four courses selected fromÌýCSEN/COENÌý79,ÌýCSEN/COENÌý101–180, ECEN/ELENÌý115, and ECEN/ELENÌý133
• Work completed to satisfy these requirements must include at least two courses beyond any free electives or other courses required to earn the bachelo°ù’s degree in the student’s primary major.

Minor in Responsible Artificial Intelligence

Directors: Yi Fang and Susan Kennedy

The Minor in Responsible AI is designed to provide students with the technical proficiency needed to develop AI systems and the ethical foundation to ensure AI is developed and deployed equitably, transparently, and for the broader good of society. This minor will bridge the gap between technology and ethics to equip students with a multifaceted understanding of the rapidly evolving world of artificial intelligence.

Requirements for the Minor in Responsible Artificial Intelligence

All undergraduate students are eligible for the minor in Responsible Artificial Intelligence. Students must fulfill the following requirements for the minor; multiple options are available for these requirements, affording students a great deal of flexibility in completing the minor. Students should check the prerequisites of the classes and make sure they can be met before planning their schedule and/or registering for them.

Computing Foundation:

Select one of the following options:

• Option A: CSEN 10&10L. Introduction to Programming (5 units); CSEN 11&11L. Advanced Programming (5 units); CSEN 12&12L. Abstract Data Types and Data Structures (5 units); CSEN 19 (cross-listed as MATH 51). Discrete Mathematics (4 units).
• Option B: CSCI 10. Introduction to Computer Science (5 units); CSCI 60. Introduction to C++ and Object-Oriented Programming (5 units); CSCI 61. Data Structures (5 units); CSCI 62. Advanced Programming; CSEN 19 (cross-listed as MATH 51). Discrete Mathematics (4 units).
• Option C: OMIS 30: Introduction to Programming (5 units); OMIS 114: Data Science with Python (5 units).

Technology Ethics. Select one of the following two courses.

• *ENGR 19. Ethics in Technology (4 units)
• *PHIL 22. Ethics in the Digital Age (4 units)

AI Ethics:

• *PHIL 130. Ethics in AI. (5 units)

AI Technology:

• CSEN 166. Artificial Intelligence (5 units) or OMIS 116. Applied Machine Learning (5 units)

Elective Courses (4 units minimum):

• BIOE 180: Clinical Trials: Design, Analysis and Ethical Issues
• COMM 141. AI and The Human in Cinema
• COMM 155. Media Psychology
• COMM 170A: Human Centered AI
• COMM 171: Tech & Inequality in Silicon Valley
• COMM 173: Big Data Analysis
• *COMM 185. Identity, Privacy, and Politics in the Digital Age
• *ENGL 25. Textual Editing
• ENGL 26. Introduction to Writing in STEM
• *ENGL 108. Writing in STEM
• *ENGL 109. Internet Culture and Information Society
• *ENGL 112. Technical Writing and Communication
• ENGL 189. Professional/Digital Writing Internship
• ENGR 16: Values in Technology
• *FREN 177. Technology, Science, and Society: From Romanticism to the Digital Age
• *HIST 27/127: Digital and Public History
• *HIST 79/179: Technology: Steam to Cyborgs
• HIST 86: Technology, Labor, and Capitalism
• *PHIL 40. Science, Technology, and Society
• *PHIL 165. Philosophical Issues in Virtual Reality
• *SOCI 49. Tech, Social Media, and Society
• *SOCI 127a: Leadership4Good: Ethics and Social Justice in the Digital Age
• *SOCI 128. Spirituality and Ethics in the Digital Age
• SOCI 142. Change Agents and Tech4Good
• *SOCI 149. Tech, Innovation, and Culture

The asterisk * indicates these courses cannot be used to satisfy university core requirements.

Bachelor of Science and Master of Science Program

The Department of Computer Science and Engineering offers a combined degree program leading to the bachelor of science and a master of science open to students pursuing an undergraduate degree at Santa Clara in computer science and engineering, web design and engineering, computer science, or electrical and computer engineering. Under thisÌýprogram, an undergraduate student begins taking courses required for a maste°ù’s degree before completing the requirements for the bachelor’s degree and typically completes the requirements for a master of science within a year of obtaining the bachelor’s degree.

Undergraduate students admitted to the program may begin taking graduate courses no earlier than the fall term of their senior year, provided that both their overall GPA and their major GPA are at least 3.0.ÌýStudents in this program will receive their bachelo°ù’s degree after satisfying the standard undergraduate degree requirements. To earn the maste°ù’s degree, students must fulfill all the requirements for the degree, including the completion of 46 or more units of coursework beyond that applied to their bachelor’s degree.

No course can be used to satisfy requirements for both the bachelor’s degree and the master’s degree. Completion of 12 or more units of courses in computer science and engineering taken for the master’s degree satisfies the Educational Enrichment requirement of the undergraduate program. Some courses required in the master’s degree programs may be replaced by free electives due to similar undergraduate coursework.

Computer Science and Engineering Laboratories

The Sustainable Systems Laboratory (SSL) is dedicated to a computing-informed perspective on sustainability, and the complementary beliefs that just computing is sustainable, and sustainable computing is more than just computing. Via an initial focus on data storage technologies, it tackles both resilience and efficiency challenges to computing-related problems, and the application of systems-software concepts to broader societal and ethical questions.

The Video and Image Processing Laboratory (VIP Lab) investigates state-of-the-art deep learning and signal processing techniques for image and video processing, visual data compression, visual coding for machine intelligence, and 3D point cloud coding.

The Multimedia Visual Processing Laboratory (MVP Lab) supports research in image and video coding (compression and decompression) and processing with visual processing and deep learning methods.

The Databases and Information Systems Laboratory (DBIS Lab) Ìýfocuses on research in designing, developing, and optimizing data management and information systems. Projects cover areas like database internals (query processing, execution engine, data storage), database architecture (including disaggregated architectures), as well as research in Knowledge Graphs and Semantic Web.

The Cloud Laboratory focuses on research in designing, developing, and testing the next generation cloud-based systems and applications: (1) develop and utilize domain-specific hardware for cloud applications, and (2) optimizing existing systems to better serve new and coming applications that rely on the cloud, such as self-driving car, AI/ML/DL/LLM and serverless compute.

The Systems & Performance Research Lab conducts research on system software (e.g., runtime systems and compilers) and performance tools (e.g., automatic tuning, profiling, and analysis) to improve the performance of software on parallel and high-performance computer systems.

The Internet of Things (IoT) Research Laboratory (SIOTLAB) focuses on designing and developing intelligent sensing solutions, efficient and secure communication platforms and protocols, and seamless edge-to-cloud computing infrastructures that harness artificial intelligence to enhance systems' performance, decision-making, and operational efficiency.

The Network Security and Optimization Laboratory focuses on using advanced algorithms and data-driven optimization techniques to solve security related problems in various real-world complex networks.

The Trustworthy Computing Laboratory focuses on the security, privacy, and trust challenges and solutions for emerging distributed systems and networks, such as online social media, Internet-of-Things, Blockchain, and Distributed Energy Resource (DER)-based Equitable and Self-sustaining Clean Energy Ecosystem.

The Data Science Laboratory is devoted to the extraction of knowledge from data and to the theory, design, and implementation of information systems to manage, retrieve, mine, and utilize data.

The Responsible AI Laboratory aims to foster interdisciplinary research, promote ethical AI education, and cultivate partnerships that ensure AI advances are safe, equitable, transparent, and beneficial to the broader good of society.

The Artificial Intelligence (AI) Laboratory conducts research across diverse facets of AI, including foundational and applied machine learning, and computational creativity, exploring the capabilities of AI systems to be autonomously creative as well as act as co-creative partners.

The Machine Learning and Computational Genomics Laboratory focuses on algorithmic design for machine learning problems with real-world applications and impact, especially those with unconventional inputs, such as sparse data, sets of multivariate time series, video streams, and genomics and proteomics data.

The Human-Computer Interaction Laboratory (HCI Lab) researches, designs, and develops technologies with social impact, with a focus on AR/VR, social computing, generative AI, and digital wellbeing.

The Global Digital Transformation (GDT) Clinic focuses on helping social enterprises, non-profit organizations, and governmental programs that operate in low-resource areas embrace technology. This is done by designing, developing, and deploying customized web/mobile applications that can help them improve and/or scale their operation to better serve their beneficiaries.

For details of faculty research areas, please seeÌý/engineering/academic-programs/department-of-computer-engineering/research/

Lower-Division Courses

10. Introduction to Programming

Overview of computing. Introduction to program design and implementation: problem definition, functional decomposition, and design of algorithm programming in PHP and C: variables, data types, control constructs, arrays, strings, and functions. Program development in the Linux environment: editing, compiling, testing, and debugging. Credit is not allowed for more than one introductory class such as CSEN/COENÌý10, CSCI 10, or OMIS 30. Corequisite: CSEN/COENÌý10L. (4 units)

10L. Introduction to Programming Laboratory

Laboratory for CSEN/COENÌý10. Corequisite: CSEN/COENÌý10. (1 unit)

11. Advanced Programming

The C Language: structure and style. Types, operators, and expressions. Control flow. Functions. Pointers, arrays, and strings. Structures and dynamic memory allocation. I/O and file processing. Special operators. Recursion and threads. The Unix environment. Prerequisites: Previous programming experience and/or a grade of C-Ìýor better in an introductory computer programming course such as CSEN/COENÌý10, CSCI 10, or OMIS 30. Corequisite: CSEN/COENÌý11L. (4 units)

11L. Advanced Programming Laboratory

Laboratory for CSEN/COEN 11. Corequisite: CSEN/COENÌý11. (1 unit)

12. Abstract Data Types and Data Structures

Data abstraction: abstract data types, information hiding, interface specification. Basic data structures: stacks, queues, lists, binary trees, hashing, tables, graphs; implementation of abstract data types in the C language. Internal sorting: review of selection, insertion, and exchange sorts; quicksort, heapsort; recursion. Analysis of run-time behavior of algorithms; Big-O notation. Introduction to classes in C++. Credit not allowed for more than one introductory data structures class, such as CSEN/COENÌý12 or CSCI 61. Prerequisite: aÌýgrade of C- or better in CSEN/COENÌý11. Corequisite: CSEN/COENÌý12L. Recommended corequisite: CSEN/COENÌý19 or MATH 51. (4 units)

12L. Abstract Data Types and Data Structures Laboratory

Laboratory for CSEN/COEN 12. Corequisite: CSEN/COENÌý12. (1 unit)

19. Discrete Mathematics

Predicate logic, methods of proof, sets, functions, sequences and summations, modular arithmetic, cardinality, induction, elementary combinatorial analysis, recursion, and relations. Also listed as MATH 51. (4 units)

20. Introduction to Embedded Systems

Introduction to computer organization: CPU, registers, buses, memory, I/O interfaces. Number systems: arithmetic and information representation. Assembly language programming: addressing techniques, arithmetic and logic operations, branching and looping, stack operations, procedure calls, parameter passing, and interrupts. C language programming: pointers, memory management, stack frames, interrupt processing. Prerequisite: aÌýgrade of C-Ìýor better in either CSEN/COENÌý12Ìýor CSCI 61. Corequisite: CSEN/COENÌý20L. (4 units)

20L. Embedded Systems Laboratory

Laboratory for CSEN/COENÌý20. Corequisite: CSEN/COENÌý20. (1 unit)

29. Current Topics in Computer Science and Engineering

Subjects of current interest. May be taken more than once if topics differ. (4 units)

60. Introduction to Web Technologies

Overview of the internet and World Wide Web technologies and practices. Introduction to basic markup language, style sheet language, server-side scripting language, and website design. Emerging Web applications. Corequisite: CSEN 60L. (4 units)

60L. Introduction to Web Technologies Laboratory

Laboratory for CSEN/COENÌý60. Corequisite: CSEN/COENÌý60. (1 unit)

79. Object-Oriented Programming and Advanced Data Structures

Object-oriented programming concepts; specification, design, and implementation of data structures with emphasis on software reliability and reusability; design and implementation of static and dynamic data structures, such as sequence, vector, list, stack, queue, deque, priority queue, set, multiset, map, multimap, and graphs; software development using inheritance, templates and iterators; memory allocation and performance; Using data structures in real-world applications; time analysis of data structures; informal use of specifications to guide implementation and validation of programs. Prerequisites: a grade of C- or better in either CSEN/COEN 12 or CSCI 61 and in either CSEN/COEN 19 or MATH 51. Corequisite: CSEN/COEN 79L. (4 units)

79L. Object-Oriented Programming and Advanced Data Structures Laboratory

Laboratory for CSEN/COEN 79. Corequisite: CSEN/COEN 79. (1 unit)

Upper-Division Courses

100. Research Seminar

Introduction to research in computing, covering several research areas. (1 unit)

120. Real-Time Systems

Overview of real-time systems: classification, design issues, and description. Finite state machines and statecharts. Robot programming: odometry and the use of sensors. Real-time programming languages, real-time kernels, and multi-threaded programming. Unified Modeling Language for the design of real-time applications. Performance analysis. Prerequisite: A grade of C-Ìýor better in either CSEN/COENÌý12 or CSCI 61. Corequisite: CSEN/COENÌý120L. (4 units)

120L. Real-Time Systems Laboratory

Laboratory for CSEN/COENÌý120. Corequisite: CSEN/COENÌý120. (1 unit)

122. Computer Architecture

Overview of computer systems. Instruction set architecture. QuantitativeÌýanalysis. Computer arithmetic. CPU datapath design. CPU control design. Pipelining. Data/control hazards. Memory hierarchies and management. Introduction of multiprocessor systems. Hardware description languages. Laboratory project consists of a design of a pipeline. Prerequisites: aÌýgrade of C-Ìýor better in either CSEN/COENÌý20 or ECEN/ELENÌý120Ìýand in either CSEN/COENÌý21 or ECEN/ELENÌý21. Corequisite: CSEN/COENÌý122L. (4 units)

122L. Computer Architecture Laboratory

Laboratory for CSEN/COENÌý122. Corequisite: CSEN/COENÌý122. (1 unit)

123. Mechatronics

Introduction to behavior, design, and integration of electromechanical components and systems. Review of appropriate electronic components/circuitry, mechanism configurations, and programming constructs. Use and integration of transducers, microcontrollers, and actuators. Also listed as ECEN/ELENÌý123 and MECH 143. Prerequisites: a grade of C- or better in ECEN/ELENÌý50 and in CSEN/COENÌý11. Corequisite: CSEN/COENÌý123L. (4 units)

123L. Mechatronics Laboratory

Laboratory for CSEN/COENÌý123. Corequisite: CSEN/COENÌý123. Also listed as ECEN/ELENÌý123L and MECH 143L. (1 unit)

127. Advanced Logic Design

Contemporary design of finite-state machines as system controllers using FPGA devices. Minimization techniques, performance analysis, and modular system design. HDL simulation and synthesis. Also listed as ECEN/ELENÌý127. Prerequisite:ÌýCSEN/COENÌý21 with a grade of C- or better. Corequisite: CSEN/COENÌý127L. (4 units)

127L. Advanced Logic Design Laboratory

Laboratory for CSEN/COENÌý127. Design, construction, and testing of controllers from verbal specs. Use of CAD design tools. Also listed as ECEN/ELENÌý127L. Corequisite: CSEN/COENÌý127. (1 unit)

129. Current Topics in Computer Science and Engineering

Subjects of current interest. May be taken more than once if topics differ. (4 units)

140. Machine Learning and Data Mining

Machine learning as a field has become increasingly pervasive, with applications from the Web (search, advertisements, and recommendation) to national security, from analyzing biochemical interactions to traffic and emissions to astrophysics. This course presents an introduction to machine learning and data mining, the study of computing systems that improve their performance through learning from data. This course is designed to cover the main principles, algorithms, and applications of machine learning and data mining. Prerequisites: aÌýgrade of C-Ìýor better in AMTH 108, in MATH 53, and in either CSEN/COEN 12 or CSCI 61. Corequisite: CSEN/COEN 140L. (4 units)

140L. Machine Learning and Data Mining Laboratory

Laboratory for CSEN/COEN 140. Corequisite: CSEN/COEN 140 (1 unit)

143. Internet of Things

Applications and architectures of IoT systems. Embedded and low-power processors. Interfacing digital sensors and actuators. Interrupts and exceptions in a concurrent world. Operating systems for resource-constrained devices. Multitasking and memory allocation. Wireless channel access, low-power wireless, real-time and reliable communication. IP networking, protocol translation and compression. Multi-hop communication. Application layer protocols. Security protocols and architectures. Cloud, edge, and fog computing. Prerequisites: a grade of C- or better in CSEN/COEN 146 and in CSEN/COEN 177. Corequisite: CSEN/COEN 143L. (4 units)

143L. Internet of Things Laboratory

Laboratory for CSEN/COEN 143. Corequisite: CSEN/COEN 143 (1 unit)

145. Introduction to Parallel Computing

How to effectively program parallel computers, from smartphones to large clusters. Types of parallel architectures, routing, data parallel, shared-memory, and message-passing parallel programming, load balancing, evaluation of parallel algorithms, advanced topics. Case studies in real-world data analytics, including parallel algorithms for sparse matrix and graph operations. Hands-on lab on multi-core CPUs and many-core GPUs. Prerequisite: a grade of C- or better in either CSEN/COEN 12 or CSCI 61. Corequisite: CSEN/COEN 145L. (4 units)

145L. Introduction to Parallel Computing Laboratory

Laboratory for CSEN/COENÌý145. Corequisite: CSEN/COENÌý145. (1 unit)

146. Computer Networks

Data communication: circuit and packet switching, latency and bandwidth, throughput/delay analysis. Application layer: client/server model, socket programming, Web, email, FTP. Transport layer: TCP and UDP, flow control, congestion control, sliding window techniques. Network layer: IP and routing. Data link layer: shared channels, media access control protocols, error detection and correction. Network security. Laboratory consists of projects on software development of network protocols and applications. Prerequisite: aÌýgrade of C-Ìýor better in either CSEN/COENÌý12 or CSCI 61. Corequisite: CSEN/COENÌý146L. Recommended corequisiteÌýor prerequisite: AMTH 108 or MATH 122. (4 units)

146L. Computer Networks Laboratory

Laboratory for CSEN/COENÌý146. Corequisite: CSEN/COENÌý146. (1 unit)

148. Computer Graphics Systems

Interactive graphic systems. Graphics primitives, line and shape generation. Simple transforming and modeling. Efficiency analysis and modular design. Interactive input techniques. Three-dimensional transformations and viewing, hidden surface removal. Color graphics, animation, real-time display considerations. Parametric surface definition and introduction to shaded-surface algorithms. Offered in alternate years. Prerequisites: MATH 53; a grade of C-Ìýor better in either CSEN/COENÌý12 or CSCI 61. (4 units)

150. Introduction to Information Security

Security principles; operating system security: process security, file system security, application program security; access control models: DAC, MAC, RBAC, ABAC; Malware: virus, Trojan, worms, rootkits, botnets, adware, spyware; network security attacks and defenses at different layers; web security: attacks on clients and servers; cryptographic basis: symmetric cryptography, public-key cryptography, cryptographic hash functions, digital signature; Application security: database security, email security, social networking security. Ìý Prerequisite: a grade of C- or better in CSEN/COEN 146. ÌýCorequisite: CSEN/COEN 150L (4 units)

150 L. Introduction to Information Security Laboratory

Laboratory for CSEN/COEN 150. Corequisite: CSEN/COEN 150. (1 unit)

152. Introduction to Computer Forensics

Procedures for identification, preservation, and extraction of electronic evidence. Auditing and investigation of network and host system intrusions, analysis and documentation of information gathered, and preparation of expert testimonial evidence. Forensic tools and resources for system administrators and information system security officers. Ethics, law, policy, and standards concerning digital evidence. Prerequisites: aÌýgrade of C-Ìýor better in either CSEN 12 or CSCI 61 and in CSEN/COENÌý20. Corequisite: CSEN/COENÌý152L. (4 units)

152L. Introduction to Computer Forensics Laboratory

Laboratory for CSEN/COENÌý152. Corequisite: CSEN/COENÌý152. (1 unit)

160. Object-Oriented Analysis, Design, and Programming

Four important aspects of object-oriented application development are covered: fundamental concepts of the OO paradigm, building analysis and design models using UML, implementation using Java, and testing object-oriented systems. Prerequisite: aÌýgrade of C-Ìýor better in either CSEN/COENÌý79Ìýor CSCI 61. Corequisite: CSEN/COENÌý160L. (4 units)

160L. Object-Oriented Analysis, Design, and Programming Laboratory

Laboratory for CSEN/COENÌý160. Corequisite: CSEN/COENÌý160. (1 unit)

161. Web Development

Fundamentals of the World Wide Web (WWW) and the technologies that are required to develop Web-based applications. Topics cover HTML5, CSS, JavaScript, PHP, MYSQL and XML. Prerequisite: aÌýgrade of C-Ìýor better in either CSEN/COENÌý12 or CSCI 61. Corequisite: CSEN/COENÌý161L. (4 units)

161L. Web Development Laboratory

Laboratory for CSEN/COENÌý161. Corequisite: CSEN/COENÌý161. (1 unit)

162. Web Infrastructure

History and overview of World Wide Web technology. Web protocols. Web Navigation. Web caching and load balancing. P2P and Content Delivery Networks. Streaming technologies. Prerequisite: aÌýgrade of C-Ìýor better in CSEN/COENÌý146. (4 units)

163. Web Usability

Principles of user-centered design. Principles of human computer interaction. Fundamental theories in cognition and human factors: information processing, perception and representation, constructivist and ecological theories, Gestalt laws of perceptual organization. Usability engineering: user research, user profiling, method for evaluating user interface, usability testing. Prototyping in user interface: process, methods of evaluating and testing. Inclusive design in user interface design: accessibility issues, compliance with section 508 of Rehabilitation Act. Prerequisite: aÌýgrade of C-Ìýor better in either CSEN/COENÌý12 or CSCI 61. Corequisite: CSEN/COENÌý163L. (4 units)

163L. Web Usability Laboratory

Laboratory for CSEN/COENÌý163. Corequisite: CSEN/COENÌý163. (1 unit)

164. Advanced Web Development

Advanced topics in Web Application Development; Development with Web Frameworks, implementing Web services and management of Web security. Prerequisite: aÌýgrade of C-Ìýor better in CSEN/COEN 161 or demonstrated knowledge of Web development technology covered in CSEN/COENÌý161. Corequisite: CSEN/COENÌý164L. (4 units)

164L. Advanced Web Development Laboratory

Laboratory for CSEN/COENÌý164. Corequisite: CSEN/COENÌý164. (1 unit)

165. Introduction to 3D Animation & Modeling/Modeling & Control Rigid Body Dynamics

Mathematical and physical principles of motion of rigid bodies, including movement, acceleration, inertia, and collision. Modeling of rigid body dynamics for three-dimensional graphic simulation; controlling the motion of rigid bodies in robotic applications. May be repeated twice for credit. Also listed as ARTS 173. (5 units)

166. Artificial Intelligence

Philosophical foundations of artificial intelligence, problem solving, knowledge and reasoning, neural networks, and other learning methods. Prerequisites: aÌýgrade of C-Ìýor better in either CSEN/COEN 12 or CSCI 61 and in either CSEN/COEN 19 or MATH 51. Corequisite: CSEN/COEN 166L. (4 units)

166L. Artificial Intelligence Laboratory

Laboratory for CSEN/COEN 166. Corequisite: CSEN/COEN 166. (1 unit)

168. Mobile Application Development

Design and implementation of applications running on a mobile platform such as smartphones and tablets. Programming languages and development tools for mobile SDKs. Writing code for Peripherals-GPS, accelerometer, touchscreen. Optimizing user interface for a small screen. Effective memory management on a constrained device. Embedded graphics. Persistent data storage. Prerequisites: aÌýgrade of C-Ìýor better in CSEN/COENÌý20 and in ÌýCSEN/COENÌý79Ìýor equivalent. Corequisite:ÌýCSEN/COENÌý168L. (4 units)

168L. Mobile Application Development Laboratory

Laboratory forÌýCSEN/COENÌý168. Corequisite:ÌýCSEN/COENÌý168. (1 unit)

169. Web Search and Information Retrieval

Theory, design, and implementation of information systems that process, organize, analyze large-scale information on the Web. Search engine technology, recommender systems, cloud computing, social network analysis. Prerequisite: a grade of C- or better in either AMTH 108 or MATH 122Ìýand in either CSEN/COENÌý12 or CSCI 61, or permission of the instructor. (4 units)

171. Principles of Design and Implementation of Programming Languages

High-level programming language concepts and constructs. Costs of use and implementation of the constructs. Issues and trade-offs in the design and implementation of programming languages. Critical look at several modern high-level programming languages. Prerequisite: aÌýgrade of C-Ìýor better inÌýCSEN/COENÌý79. (4 units)

174. Software Engineering

Software development life cycle. Project teams, documentation, and group dynamics. Software cost estimation. Requirements engineering and design. Data modeling, object modeling, and object-oriented analysis. Object-oriented programming and design. Software testing and quality assurance. Software maintenance. Prerequisite: aÌýgrade of C-Ìýor better inÌýeither CSEN/COENÌý12 or CSCI 61. Corequisite:ÌýCSEN/COENÌý174L . (4 units)

174L. Software Engineering Laboratory

Laboratory forÌýCSEN/COENÌý174. Corequisite:ÌýCSEN/COENÌý174. (1 unit)

175. Introduction to Formal Language Theory and Compiler Construction

Introduction to formal language concepts: regular expressions and context-free grammars. Compiler organization and construction. Lexical analysis and implementation of scanners. Top-down and bottom-up parsing and implementation of top-down parsers. An overview of symbol table arrangement, run-time memory allocation, intermediate forms, optimization, and code generation. Prerequisites: aÌýgrade of C-Ìýor better inÌýCSEN/COENÌý20 andÌýin CSEN/COENÌý79. Corequisite:ÌýCSEN/COENÌý175L. (4 units)

175L. Introduction to Formal Language Theory and Compiler Construction Laboratory

Laboratory forÌýCSEN/COENÌý175. Corequisite:ÌýCSEN/COENÌý175. (1 unit)

177. Operating Systems

Introduction to computer operating systems. Operating system concepts, computer organization model, storage hierarchy, operating system organization, processes management, interprocess communication and synchronization, memory management and virtual memory, I/O subsystems, and file systems. Design, implementation, and performance issues. Prerequisites: aÌýgrade of C-Ìýor better in eitherÌýCSEN/COENÌý12 or CSCI 61 and inÌýCSEN/COENÌý20 (or in ECEN/ELEN 120). Corequisite:ÌýCSEN/COENÌý177L. (4 units)

177L. Operating Systems Laboratory

Laboratory forÌýCSEN/COENÌý177. Corequisite:ÌýCSEN/COENÌý177. (1 unit)

178. Introduction to Database Systems

ER diagrams and the relational data model. Database design techniques based on integrity constraints and normalization. Database security and index structures. SQL and DDL. Transaction processing basics. Prerequisite: aÌýgrade of C-Ìýor better inÌýeither CSEN/COENÌý12 or CSCI 61. Corequisite:ÌýCSEN/COENÌý178L. (4 units)

178L. Introduction to Database Systems Laboratory

Laboratory forÌýCSEN/COENÌý178. Corequisite:ÌýCSEN/COENÌý178. (1 unit)

179. Theory of Algorithms

Introduction to techniques of design and analysis of algorithms: asymptotic notations and running times of recursive algorithms. Design strategies: brute-force, divide and conquer, decrease and conquer, transform and conquer, dynamic programming, greedy technique. Intractability: P and NP, approximation algorithms. Also listed as CSCI 163A. Prerequisites: aÌýgrade of C- or better in eitherÌýCSEN/COENÌý12 or CSCI 61 and in eitherÌýCSEN/COENÌý19 or MATH 51, or equivalents. (5 units)

180. Introduction to Information Storage

Storage hierarchy. Caching. Design of memory and storage devices, with particular emphasis on magnetic disks and storage-class memories. Error detection, correction and avoidance fundamentals. Disk arrays. Storage interfaces and buses. Network attached and distributed storage, interaction of economy and technological innovation. Also listed as ECEN/ELENÌý180. Prerequisite: aÌýgrade of C-Ìýor better in eitherÌýCSEN/COENÌý12 or CSCI 61. Recommended prerequisite:ÌýCSEN/COENÌý20. (4 units)

188. Co-op Education

Practical experience in a planned program designed to give students practical work experience related to their academic field of study and career objectives. Satisfactory completion of the work assignment includes preparation of a summary report on co-op activities. P/NP grading. May not be taken for graduate credit. (2 units)

189. Co-op Technical Report

Credit given for a technical report on a specific activity such as a design or research project, etc., after completing the co-op assignment. Approval of department advisor required. Letter grades based on content and quality of report. May be taken twice. May not be taken for graduate credit. Prerequisite:ÌýCSEN/COENÌý188. (2 units)

192. Introduction to Senior Design
Junior preparation for senior design projects. An introduction to project requirements, team management, and project management. Consideration of documentation, and tentative project selection.ÌýPrerequisite: junior standing. (1 units)

193. Undergraduate Research

Involves working on a year-long research project with one of the faculty members. Students should register three times in a row for a total of 6 units. Does not substitute for the senior project, which may be a continuation of the research done. Registration requires the faculty membe°ù’s approval. Students must have junior or senior standing and a minimum GPA of 3.0. (2 units)

194. Design Project I

Specification of an engineering project, selected with the mutual agreement of the student and the project advisor. Complete initial design with sufficient detail to estimate the effectiveness of the project. Initial draft of the project report. Prerequisite: senior standing.ÌýCorequisite: CSEN/COEN 194L. (1Ìýunits)

194L. Design Project I - Laboratory

Laboratory for CSEN/COEN 194. Corequisite: CSEN/COEN 194. (1 unit)

195. Design Project II

Continued design and construction of the project, system, or device. Initial draft of project report. Prerequisite:ÌýCSEN/COENÌý194. Corequisite: CSEN/COEN 195L. (1Ìýunits)

195L. Design Project II - Laboratory

Laboratory for CSEN/COEN 195. Corequisite: CSEN/COEN 195. (1 unit)

196. Design Project III

Continued design and construction of the project, system, or device. Formal public presentation of results. Final report. Prerequisite:ÌýCSEN/COENÌý195. Corequisite: CSEN/COEN 196L. (1Ìýunits)

196L. Design Project III - Laboratory

Laboratory for CSEN/COEN 196. Corequisite: CSEN/COEN 196. (1 unit)

199. Directed Research/Reading

Special problems. By arrangement. (1–5 units)