Jun 24, 2025

2014-2015 Catalog

2014-2015 Catalog [ARCHIVED CATALOG]

Course Descriptions

UNDERGRADUATE COURSES
Lower Division Courses numbered 1–99 are designed primarily for freshmen and sophomores but are open to all students for lower division credit. (Graduate students requesting to enroll in lower-division undergraduate courses will not receive unit credit nor will the course fulfill degree requirements.) Upper Division Courses courses numbered 100–199 are open to all students who have met the necessary prerequisites as indicated in the catalog course description. Preparation should generally include completion of one lower division course in the given subject or completion of two years of college work.

GRADUATE COURSES
Courses numbered 200–299 are open to graduate students. (Undergraduate students must obtain the signature of the instructor, School Dean, and the Dean of Graduate Studies. Graduate level units will count towards the required 120 units for graduation; however students are urged to meet with their academic advisor in order to determine if graduate course units may be used to fulfill a graduation requirement.)

CROSS-LISTED/CONJOINED COURSES
Cross-listed Courses are the same course offered under different course subjects at the same level (either undergraduate or graduate) that share the same meeting time, requirements, units, etc. Conjoined Courses are the same course but one is undergraduate and one is graduate.

COREQUISITE COURSE
A corequisite course is a course that must be taken at the same time as another course.

PREREQUISITES
Prerequisites for courses should be followed carefully; the responsibility for meeting these requirements rests on the student. If you can demonstrate that your preparation is equivalent to that specified by the prerequisites, the instructor may waive these requirements for you. The instructor also may request that a student who has not completed the prerequisites be dropped from the course. Note: For all courses a “C-” or better grade is required for a course to be used as a prerequisite for another course. If a course was taken for a “P/NP” grade then a “P” grade is required. If the prerequisite for a course is not satisfied, students must obtain the approval of the instructor (or school designee) of the course they wish to take.

FOREIGN LANGUAGES
No credit is allowed for completing a less advanced course after successful completion (C-or better) of a more advanced course in the foreign languages. This applies only to lower division foreign language courses, not upper division courses.

More information about Course Substitutions , Grading Options , and Course Materials and Services Fees can be found in alternate areas of the catalog.

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Economics
	ECON 162: Corporate Finance [4.0 units] Explores corporate decision making in allocating investment funds to capital projects and alternative methods of raising capital from financial markets. Related topics include asset pricing, capital budgeting, capital structure, dividend policy, valuation of bonds, stocks, and options. Particular attention is paid to how managers maximize shareholder wealth. Prerequisite: ECON 100 . Normal Letter Grade only. View course scheduling information
	ECON 163: Economics of Investments, Futures, and Options [4.0 units] Covers the investment environment for financial securities. Price formation in commodity and financial futures and options markets will be examined. Additional topics include: the theory of inter-temporal price formation, common approaches used to forecast prices, statistical analysis of historical price behavior, and futures and options market regulation. Prerequisite: ECON 100 . Normal Letter Grade only. View course scheduling information
	ECON 170: Game Theory [4.0 units] Consideration of non-cooperative games in the strategic and extensive form as well as applications of game theory to issues in social science and philosophy. Topics may include: solution concepts for non-cooperative games; epistemic foundations for solution concepts; indefinitely repeated games; theories of equilibrium selection; experimental game theory. Prerequisite: ECON 100 . Normal Letter Grade only. View course scheduling information
	ECON 190: Topics in Economics [4.0 units] Intensive treatment of a special topic or problem in economics. May be repeated for credit in different subject area. Prerequisite: Junior standing and ECON 100 or consent of instructor. Economics or Management majors only. Course may be repeated 3 times for credit. View course scheduling information
	ECON 192: Internship in Economics [1.0-4.0 units] Provides oversight and structure for a student’s internship in a field related to Economics in community organizations, professional research projects, etc. connected to the study of Economics. Students are required to write an original research paper or relevant product that demonstrates how the internship advanced their knowledge of Economics. Prerequisite: Junior standing. Pass/Fail only. Course may be repeated 2 times for credit. View course scheduling information
	ECON 195: Upper Division Undergraduate Research [1.0-5.0 units] Supervised research. Course may be repeated for credit. View course scheduling information
	ECON 196: Senior Thesis in Economics I [4.0 units] First part in a year-long capstone seminar that culminates in the presentation of a senior thesis in economics. In this semester, students study research methods in economics, formulate a theoretical or empirical question for their thesis, and conduct a literature review. Prerequisite: Senior standing and (ECON 100 or MGMT 100 ) and (ECON 130 or MGMT 130 ). Economics majors only. Normal Letter Grade only. View course scheduling information
	ECON 197: Senior Thesis in Economics II [4.0 units] Second part in a year-long capstone seminar that culminates in the presentation of a senior thesis in economics. In this semester, students develop and conduct the research proposed in the first semester, write the thesis, and present their work to faculty and peers. Prerequisite: Senior standing and ECON 196 . Economics majors only. Normal Letter Grade only. View course scheduling information
	ECON 198: Upper Division Directed Group Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ECON 199: Upper Division Individual Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ECON 240: Advanced Labor Economics I [4.0 units] Covers recent developments in research on labor economics and provide a basis for students to develop a research program in this area. We discuss human capital investment, the wage structure and inequality, labor demand, labor market institutions, internal and local labor markets. Normal Letter Grade only. Course may be repeated 2 times for credit. View course scheduling information
	ECON 290: Quantitative Labor Studies Seminar [3.0 units] Research presentations by visiting scholars in the area of quantitative labor studies. Course may be repeated 3 times for credit. View course scheduling information
	ECON 295: Graduate Research [1.0-12.0 units] Supervised research. Course may be repeated for credit. Laboratory included. View course scheduling information
	ECON 298: Directed Group Study [1.0-6.0 units] Group project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
	ECON 299: Directed Independent Study [1.0-12.0 units] Independent project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
Education
	EDUC 010: The Essentials of Educational Practice and Policy [4.0 units] Introduction to key elements in education: teaching and learning, school organization, education policy, politics, and philosophical goals of education. Topics include: educational reform, testing and accountability, school finance, student diversity, and bilingual education. Focus is on California’s education system, with comparative perspectives from other states and countries. Discussion included. View course scheduling information
	EDUC 090X: Freshman Seminar [1.0 unit] Examination of a topic in education. View course scheduling information
Electrical Engineering and Computer Science
	EECS 205: Probability and Stochastic Processes [4.0 units] Introduction of probability theory and stochastic processes. Topics: discrete-tim Markov chains, conditional expectation and martingales, limiting behavior of sequences of random variables, Poisson process and continuous-time Markov chains, renewal processes and queuing theory, detection and estimation, wide-sense stationary processes and spectral density, Kalman filter and Wiener filter, and Brownian motion. Prerequisite: MATH 032 and MATH 141 or consent of instructor. Discussion included. View course scheduling information
	EECS 207: Digital Image Processing [4.0 units] The fundamentals of digital image processing theory and techniques. Topics include two-dimensional linear system theory, image enhancement, image restoration, wavelet-based analysis, image compression and image reconstruction from projections. Undergraduate level math; undergraduate course on signals and systems is strongly recommended for successful completion of this course. Laboratory included. View course scheduling information
	EECS 250: Advanced Topics Computer Systems [4.0 units] Computer systems research, including operating systems, database systems, internet infrastructure systems and sensor networks systems. The goal of the course is to cover a broad array of research topics in computer systems, and to engage you in top-flight systems research. The first part is devoted to basic thematic issues and underlying techniques in computer systems, while the second part goes deeper into topics related to scalable, parallel and distributed systems. The class is based on a discussion of important research papers, and a research project. Prerequisite: Electrical Engineering and Computer Science majors only. Normal Letter Grade only. Course may be repeated 5 times for credit. Laboratory included. View course scheduling information
	EECS 252: Embedded Computer Systems [4.0 units] Concentration on methodologies and technologies for design of embedded systems. Topics include hardware and software platforms for embedded systems, techniques for modeling and specification of system behavior, software organization, real-time operating system scheduling, real-time communication and packet scheduling, low-power battery and energy-aware system design, timing synchronization, fault tolerance and debugging, and techniques for hardware and software architecture optimization. We cover theoretical foundations as well as practical design methods. Prerequisite: Electrical Engineering and Computer Science majors only. Normal Letter Grade only. Course may be repeated 5 times for credit. Laboratory included. View course scheduling information
	EECS 260: Optimization [4.0 units] Introduction of theory and numerical methods for continuous multivariate optimization (unconstrained and constrained), including: line-search and trust-region strategies; conjugate-gradient, Newton, quasi-Newton and large-scale methods; linear programming; quadratic programming; penalty and augmented Lagrangian methods; sequential quadratic programming; and interior-point methods. Prerequisite: MATH 023 , MATH 024 , MATH 141 or consent of instructor. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 262: Networking of Embedded Sensor Systems [4.0 units] Wireless and sensor systems have achieved significant maturity in the past five years. Experimental systems research in this area has developed a wide range of innovative solutions to practical problems. There is also a fairly large literature on practical experience with these systems. In this class, we sample a wide range of current research on experimental networked wireless and sensor systems. Our exploration ranges from low-level systems and components (self-configuration, localization, time-synchronization), to networking (medium access, routing, transport), and higher-level systems issues (programming, deployment, and management). Prerequisite: Electrical Engineering and Computer Science majors only. Normal Letter Grade only. Course may be repeated 5 times for credit. Laboratory included. View course scheduling information
	EECS 263: Cloud Computing [4.0 units] Introduce the following topics: Cloud definition and classifications, resource virtualization, motivations and economics of Cloud Computing, scheduling and load balancing, flow scheduling, cloud pricing, Security management in the cloud, Databases in the cloud, Mobile cloud, video streaming cloud, federated Clouds and multi-Clouds, and various case studies from the Industry. Prerequisite: CSE 150 and CSE 160 or equivalent. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 265: Computational Geometry [4.0 units] Design and analysis of efficient and robust algorithms for geometric problems in two and three dimensions. Computational geometry algorithms are needed to solve problems in robotics, GIS, solid modeling, etc. Theoretical studies will be complemented by programming assignments. Undergraduate level knowledge of algorithm design and analysis, and linear algebra with programming experience in C/C++/Java and Matlab is strongly suggested. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 267: Computer Graphics [4.0 units] Covers the main algorithms and techniques required to implement modern computer graphics applications transformations, illumination and shading, the OpenGL rendering pipeline, ray tracing, scene graphs, curves and surfaces, solid modeling and representation, meshes, physics based animation, quaternions, and keyframe animation. The course includes practical experimentation of the main techniques in projects developed in C++. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 270: Robot Algorithms [4.0 units] In depth study of algorithmic techniques to solve fundamental robotic problems, with a particular emphasis on probabilistic aspects. Sensor fusion, mission planning, and other selected topics are covered as well. Theory is complemented by a personal semester long project assigned to every student. Permission of instructor required. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 271: Theory of Computation [4.0 units] Introduces the main computational model defining the theory of computation and illustrates fundamental theorems defining the limits of what can be computed. Topics include: finite and pushdown automata; nondeterministic models; regular languages and context free grammars; Turing machines; and decidability problems. Senior level math knowledge and the fundamentals of computer algorithms are necessary for successful completion of this course. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 272: Program Verification and Model Checking [4.0 units] Presents foundational concepts, techniques, and tools to verify whether a complex hardware or software system meets its target functional properties. Formal verification will be studied using model checking methods based on temporal logic formulations. Laboratory assignments will complement topics studied in theory. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 273: Computational Cognitive Neuroscience [4.0 units] Design and analysis of computational simulations of human behavior and brain function. Techniques for modeling active membranes, individual neurons, the dynamics produced by recurrent excitation and lateral inhibition, synaptic plasticity, and the computational role of neurotransmitters. Formal models of perception, attention, learning, memory, language, categorization, and cognitive control. Laboratory included. View course scheduling information
	EECS 274: Computer Vision [4.0 units] Introduces algorithms and techniques for understanding contents in single and multiple images. It covers low-level, mid-level, high-level vision and recent research developments. Prerequisite: CSE 185 or consent of instructor, linear algebra, vector calculus, basic knowledge in probability and statistics, as well as programming skills. Normal Letter Grade only. Course may be repeated 3 times for credit. Laboratory included. View course scheduling information
	EECS 275: Matrix Computation [4.0 units] Numerous engineering problems can be formulated and solved via matrices. This course covers advanced algorithms for matrix computation and analysis. The introduced algorithms and numerical techniques are also important for solving linear/nonlinear systems and optimization problems. Prerequisite: Linear algebra, programming skills. Normal Letter Grade only. Course may be repeated 2 times for credit. Laboratory included. View course scheduling information
	EECS 276: Machine Learning [4.0 units] Survey of techniques for the development and analysis of software that learns from experience. An introduction to computational learning theory. Bayesian approaches to learning. Instance-based methods and case-based learning. Decision tree learning. Inductive logic. Artificial neural networks. Kernel methods. Reinforcement learning. Learning from demonstrations and explicit instruction. Laboratory included. View course scheduling information
	EECS 277: Database Systems Implementation [4.0 units] Studies the internals of a database management system, with emphasis on query execution. The final goal of the class is to build a fully-functional database execution engine consisting of all the standard components: storage manager, buffer manager, query execution engine, query optimizer, and query compiler. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 279: Approximation Algorithms [4.0 units] Optimization problems are prevalent in many disciplines, and computer science is no exception. Unfortunately, numerous optimization problems are computationally hard (eg. NP-hard), hence resist efficient algorithms. This course covers various approximation algorithms which are polynomial time heuristics that aim to give a solution close to the optimum for all inputs. Knowledge of Algorithm Design and Analysis, or an equivalent course, is strongly suggested. Normal Letter Grade only. View course scheduling information
	EECS 280: Advanced Topics in Computer Networks and Distributed Systems [4.0 units] Overview of Internet development history and fundamental principles underlying TCP/IP protocol design. Discussion of current networking and distributed systems research topics, including latest research results in routing protocols, transport protocols, network measurements, network security protocols, and clean-slate approach to network architecture design. Fundamental issues in network protocol design and implementations applied to a variety of different applications and environments. Prerequisite: Electrical Engineering and Computer Science majors only. Normal Letter Grade only. Course may be repeated 5 times for credit. Laboratory included. View course scheduling information
	EECS 281: Advanced Topics in Robotics [4.0 units] Contemporary issues in mobile robotics, Topics include but are not limited to: cooperative mobile robotics, mathematical models for complex tasks (e.g. manipulation), humanoid robotics, human-robot interfaces, robot hardware and middleware. Normal Letter Grade only. Course may be repeated 3 times for credit. Laboratory included. View course scheduling information
	EECS 282: Advanced Topics in Machine Learning [4.0 units] Reviews advanced topics in machine learning. Each edition of the course will focus on a different topic. It will consist of formal lectures, presentation and discussion of papers, and implementation of algorithms in Matlab or C. Normal Letter Grade only. Course may be repeated for credit. Laboratory included. View course scheduling information
	EECS 283: Advanced Topics in Intelligent Systems [4.0 units] Research in intelligent systems is multi-disciplinary and its foundation can be found from fields such as estimation, communication, and control. Other areas such as artificial intelligence, machine learning, networking, robotics, security, and signal processing are also highly related. This class will review the most current results in intelligent systems and help students prepare for research in intelligent systems. Topics will vary from semester to semester. Course may be repeated for credit. Discussion included. View course scheduling information
	EECS 284: Large Scale Data Management [4.0 units] Aims to familiarize students with techniques for processing large amounts of data. Starting with the latest innovations in hardware, data processing architectures are presented as well as algorithms for managing large quantities of data. Although the main focus is data analytics, significant attention is dedicated to transactional databases. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 285: Advanced Topics in Motion Planning [4.0 units] Advanced algorithms in the motion planning research domain and reviews selected topics in applications to robotics, computer animation, cognitive science and bioinformatics. Includes development of a significant programming project and student-lead seminars. Consolidated programming skills, notions of computer graphics and robotics are recommended for successful completion of the course. Prerequisite: Consolidated programming skills, notions of computer graphics and robotics. Normal Letter Grade only. Course may be repeated for credit. Offered fall only. View course scheduling information
	EECS 286: Advanced Topics in Computer Vision [2.0-4.0 units] Current and advanced topics in computer vision. Students develop verbal and written presentation skills through critical evaluation of seminal works. Prerequisite: CSE 185 or consent of instructor. Normal Letter Grade only. Course may be repeated for credit. View course scheduling information
	EECS 287: Computer Animation and Simulation [4.0 units] Reviews the main topics in computer animation, including: key frame animation and motion capture, direct and inverse kinematics, physics-based animation, particle systems and deformable surfaces, rigid body simulation, collision detection and motion planning. The course includes development of programming projects and student-lead paper presentations. Prerequisite: Consolidated programming skills and notions of computer graphics required. Normal Letter Grade only. Laboratory included. View course scheduling information
	EECS 290: Electrical Engineering and Computer Science Seminar [1.0 unit] This invited speaker seminar course gives electrical engineering and computer science graduate students breadth exposure to all the areas in the field. Prerequisite: Electrical Engineering and Computer Science majors only. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
	EECS 295: Graduate Research [1.0-12.0 units] Supervised research in computer science. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
	EECS 298: Directed Group Study [1.0-12.0 units] Group project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
	EECS 299: Directed Independent Study [1.0-12.0 units] Independent project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
Engineering
	ENGR 040: History of Technology in Society I [4.0 units] Starting from the Paleolithic period and moving forward to the end of the 18th century and the dawn of the Industrial Revolution this course will examine the process of technological change and its relationship to societal change. Normal Letter Grade only. Discussion included. View course scheduling information
	ENGR 041: History of Technology in Society II [4.0 units] Starting from the Industrial Revolution at the end of the 18th century and moving to the present, this course will examine the process of technological change and its relationship to societal change. Normal Letter Grade only. Discussion included. View course scheduling information
	ENGR 045: Introduction to Materials [4.0 units] Relationship between the structure, processing, properties, and performance of materials. The application of physical and chemical principles in the context of engineering materials: atomic bonding, crystal structure, defects, thermodynamics, and kinetics. Prerequisite: (CHEM 002 or CHEM 002H ) and MATH 021 and (PHYS 008 or PHYS 008H ) or consent of instructor. Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 050: Statics [2.0 units] Fundamental concepts of mechanics, including statics, dynamics, and kinetics of particles and rigid bodies. Prerequisite: MATH 021 and (PHYS 008 or PHYS 008H ). Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 052: Computer Modeling and Analysis [3.0 units] Basic tools needed for the design and analysis of engineering systems, including data collection, basic algorithm design, implementation and testing, and systems simulation. Prerequisite: Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 053: Materials and the Environment [3.0 units] Impact of materials mining, processing, synthesis, use, and disposal on the environment, including cost-benefit analyses of environmentally “friendly” vs. “unfriendly” materials. Energy properties, cost, durability, disposal, and other considerations in materials selection. Materials challenges in fuel cell, battery, solar, and water filtration applications. Environmental costs and benefits of emerging nanotechnologies. Prerequisite: MATH 021 and (PHYS 008 or PHYS 008H ) and ( CHEM 002 or CHEM 002H ) or consent of instructor. Normal Letter Grade only. View course scheduling information
	ENGR 057: Statics and Dynamics [4.0 units] Fundamentals of statics. Kinematics and equations of motion of a particle for rectilinear and curvilinear motion. Planar kinematics of rigid bodies. Kinetics for planar motion of rigid bodies, including equations of motion and principles of energy and momentum. Prerequisite: MATH 021 and (PHYS 008 or PHYS 008H or PHYS 018 ). Normal Letter Grade only. Discussion included. View course scheduling information
	ENGR 065: Circuit Theory [3.0 units] Introduces fundamental principles of circuit theory commonly used in engineering and science, like circuit parameters and fundamental laws, complex impedance and admittance, steady-sate and transient circuit response, Fourier and Laplace transforms, and common measurement instruments. Prerequisite: MATH 024 and (PHYS 009 or PHYS 009H or PHYS 019 ). Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 095: Lower Division Undergraduate Research [1.0-5.0 units] Supervised research. Course may be repeated for credit. View course scheduling information
	ENGR 097: Engineering Service Learning [1.0-2.0 units] Multi-disciplinary teams of lower division (097) and upper division (197) students work with community organizations to engineer solutions to real-world problems. Students gain insight into the design process, and acquire professional skills. Upper division students will be assigned team and sub-team leadership positions and learn supervision and project management skills. Normal Letter Grade only. Course may be repeated for credit. View course scheduling information
	ENGR 098: Lower Division Directed Group Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ENGR 099: Lower Division Individual Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ENGR 108: BioEntrepreneurship [3.0 units] Introduces upper division undergraduate and graduate students to entrepreneurship. We start with a history of biotechnology and medical devices which hopefully inspires them to integrate entrepreneurship with engineering and/or life sciences. We work through case studies of start-up companies (including Genetech) brainstorm ideas about new inventions, and walk them through the requisite steps to start a new business venture (IP issues, team formation, raising capital). Normal Letter Grade only. Discussion included. View course scheduling information
	ENGR 120: Fluid Mechanics [4.0 units] Introduction to and application of the mechanics of fluids and fluid flow in natural and engineered systems. Prerequisite: ENGR 057 and MATH 024 , which may be taken concurrently. Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 130: Thermodynamics [3.0 units] Fundamentals of equilibrium, temperature, energy, and entropy. Equations of state and thermodynamic properties, with engineering applications. Prerequisite: (CHEM 002 or CHEM 002H ) and MATH 023 and MATH 024 and (PHYS 009 or PHYS 009H or PHYS 019 ). Normal Letter Grade only. View course scheduling information
	ENGR 135: Heat Transfer [4.0 units] Study of conduction, convection, and radiation heat transfer, with applications to engineering problems. Prerequisite: ENGR 120 and ENGR 130 and MATH 131 . Normal Letter Grade only. Offered fall only. Laboratory included. View course scheduling information
	ENGR 140: Introduction to Object Oriented Programming [4.0 units] Topics include object-oriented programming concepts, such as classes, objects, methods, interfaces, packages, inheritance, encapsulation, and polymorphism. Prerequisite: CSE 020 and CSE 021 . Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 141: Environmental Science and Policy [4.0 units] In depth-analysis of environmental case studies. Focus on science critical to policy development and implementation, the policy-making process, and policy outcomes. Special emphasis on interaction between scientific information and policy-making. Example topics include Western water resources, biodiversity conservation, and global warming. Emphasis on written and oral communication and critical analysis. Prerequisite: WRI 010 and (any lower division BIO, ECON, ENVE, ESS, POLI, or PUBP. Discussion included. View course scheduling information
	ENGR 151: Strength of Materials [4.0 units] Stresses and strain in solids with symmetric and asymmetric loads. Stresses in pressure vessels and rotating shafts. Strength and failure, plastic deformation, fatigue and elastic instability. Prerequisite: ENGR 057 and ENGR 045 . Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 155: Engineering Economics Analysis [3.0 units] Microeconomic principles and methods. Time value of money, interest and equivalences, analysis of economic alternatives, depreciation, inflation and taxes, estimates of demand, cost and risk, decision theory. Prerequisite: Junior standing. View course scheduling information
	ENGR 158: Service Innovation [4 Units] Focuses on service innovation, generation of new successful service ventures. Helps students gain the skills necessary to be successful in three main aspects of service production and delivery systems: the back office, the front office, and service design. Normal Letter Grade Only. Discussion Included. View course scheduling information
	ENGR 160: Discrete Mathematics [4.0 units] Covers the basic concepts of discrete mathematics used in computer science and other disciplines that involve formal reasoning. The topics include logic, proof, counting, discrete probability, relations, graphs, trees, and Boolean algebra. Prerequisite: MATH 021 and MATH 022 . Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 166: Analog and Digital Electronics [3.0 units] Intended for the upper division engineering student to facilitate the student’s development into bioengineering investigation. The course has been designed to introduce fundamental principles of analog and digital electronics commonly used in biomedical research. Prerequisite: ENGR 065 . Normal Letter Grade only. View course scheduling information
	ENGR 170: Introduction to Electron Microscopy [3.0 units] Principles and techniques of electron microscopy used in the study of materials. Emphasis upon practical applications. Normal Letter Grade only. View course scheduling information
	ENGR 170L: Introduction to Electron Microscopy Laboratory [1.0 unit] Laboratory for principles and techniques of electron microscopy used in the study of materials. Corequisite: ENGR 170 . Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 175: Information Systems for Management [4.0 units] Introduces the students to organizational use of information systems and information technology, and discusses how these create value for organizations. Prerequisite: Junior Standing. Cognitive Science, Computer Science and Engineering, Economics, Environmental Engineering, Management, Materials Science and Engineering, Mechanical Engineering majors only. Normal Letter Grade only. View course scheduling information
	ENGR 180: Spatial Analysis and Modeling [4.0 units] Principles of geographic information systems [GIS]; applications of GIS to environmental, water, and resource management issues; problem solving with GIS. Other topics include spatial analysis interpolation techniques and model integration. Prerequisite: MATH 021 . Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 190: Engineering Capstone Design [4 units] Students will work on multidisciplinary teams on selected and approved design projects, practice design methodology, complete project feasibility study and preliminary design, including optimization, product reliability and liability, economics, and application of engineering codes. Final report and presentation. Prerequisite: Senior standing and one of the following: (ME 120 and ENGR 135 and ME 137 ) or (ENVE 100 and ENVE 110 and ENVE 130 , which may be taken concurrently, and ENVE 160 , which may be taken concurrently) or (ENGR 045 and (CHEM 008 or CHEM 008H ) and ENGR 130 and BIOE 104 and ENGR 166 and BIOE 100 , which may be taken concurrently) or (MSE 112 or MSE 113 ). Normal Letter Grade only. Laboratory Included. View course scheduling information
	ENGR 191: Professional Seminar [1.0 unit] Presentation and discussion of professional engineering practices. Professional ethics and the roles and responsibilities of public institutions and private organizations pertaining to engineering. Prerequisite: Senior standing. Pass/Fail only. View course scheduling information
	ENGR 192: Intellectual Property for Engineers and Scientists [1.0 unit] Aimed for undergraduate and graduate students who may pursue a career in research and technology. We examine the laws behind Intellectual Property, covering material on copyrights for technology protection, trademarks, trade secrets, patent information including the patenting process, claim drafting, design patents, engineering ethics, and more. Prerequisite: Junior Standing. Normal Letter Grade only. View course scheduling information
	ENGR 195: Upper Division Undergraduate Research [1.0-5.0 units] Supervised research. Course may be repeated for credit. Laboratory included. View course scheduling information
	ENGR 197: Engineering Service Learning [1.0-2.0 units] Multi-disciplinary teams of freshman through senior students work with community organizations to design, build, and implement engineering-based solutions for real-world problems. Students gain insight into the design and development process. Normal Letter Grade only. Course may be repeated for credit. View course scheduling information
	ENGR 198: Upper Division Directed Group Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ENGR 199: Upper Division Individual Study [1.0-5.0 units] Pass/Fail only. Course may be repeated for credit. View course scheduling information
	ENGR 208: BioEntrepreneurship [3.0 units] Introduction for upper division undergraduate and graduate students to entrepreneurship. We start with a history of biotechnology and medical devices which inspires them to integrate entrepreneurship with engineering and/or life sciences. Case studies of start-up companies (including Genetech) brainstorm ideas about new inventions, and the requisite steps to start a new business venture (IP issues, team formation, raising capital). Normal Letter Grade only. Discussion included. View course scheduling information
	ENGR 270: Introduction to Electron Microscopy [3.0 units] Principles and techniques of electron microscopy used in the study of materials. Emphasis upon practical applications. Graduate requirements include additional assignments, quiz problems, and a project. Normal Letter Grade only. View course scheduling information
	ENGR 270L: Introduction to Electron Microscopy Laboratory [1.0 unit] Laboratory for principles and techniques of electron microscopy used in the study of materials. Graduate requirements include additional laboratory reports and a research project. Prerequisite: ENGR 270 , which may be taken concurrently. Normal Letter Grade only. Laboratory included. View course scheduling information
	ENGR 292: Intellectual Property for Engineers and Scientists [1.0 unit] Aimed for undergraduate and graduate students who may pursue a career in research and technology. We examine the laws behind Intellectual Property, covering material on copyrights for technology protection, trademarks, trade secrets, patent information including the patenting process, claim drafting, design patents, engineering ethics, and more. Normal Letter Grade only. View course scheduling information
	ENGR 295: Graduate Research [1.0-6.0 units] Supervised research in engineering. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
	ENGR 298: Directed Group Study [1.0-6.0 units] Group project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. Laboratory included. View course scheduling information
	ENGR 299: Directed Independent Study [1.0-6.0 units] Independent project under faculty supervision. Satisfactory/Unsatisfactory only. Course may be repeated for credit. View course scheduling information
English
	ENG 017: Why Harry Potter? Why Literature? [4.0 units] A study of Harry Potter novels, their literary ancestors, their popularity, and efforts to censor them. This study will enable students to investigate how authors and readers co-create meaning, how stories create individual and group identity, how stories elicit emotion, and how stories engage ethical questions. Discussion included. View course scheduling information
	ENG 020: Introduction to Shakespeare [4.0 units] An introduction to the plays and poetry of William Shakespeare, as well as the world of Elizabethan England. We will consider why Shakespeare’s works continue to be so popular, and students will both write about his works and act in or recite something he wrote. Discussion included. View course scheduling information
	ENG 030: Literature of Childhood [4.0 units] We will read books written for children: books that explore the hilarity of childhood, but also its poignancies; and we will read books written for adults that use the idea of childhood to explore a variety of themes from poverty to race to gender. Discussion included. View course scheduling information
	ENG 031: Introduction to African-American Literature and Culture [4.0 units] Examines the social thought, religious institutions, intellectual history, political challenges, literary traditions and expressive arts of people of African descent in the Americas. Among the focal points are the centrality of the African American experience to important legal, historical, political, and cultural developments in the formation of the United States. Normal Letter Grade only. Discussion included. View course scheduling information
	ENG 032: Introduction to Chicano/a Culture and Experiences [4.0 units] Introduction to Chicano/a cultural practices and experiences, with emphasis on the ties between culture, race, gender, social class, language, historical developments, artistic and literary expression, migration and transculturation. We will analyze changes in Chicano/a culture and cultural practices as Chicanos/as adapted to different historical and social circumstances. Taught in English. Prerequisite: WRI 001 or passing score on the entry level analytical Writing Placement Exam or equivalent. Normal Letter Grade only. Discussion included. View course scheduling information
	ENG 051: The Bible as Literature [4 units] A study of the Judeo-Christian Bible as literary text, of its influence on later works, and of issues of translation, politics, and canonization. Prerequisite: WRI 010 . Normal Letter Grade only. View course scheduling information
	ENG 052: Politics and Prose of the Nobel Prize in Literature [4.0 units] Delves into the art and politics of the Nobel Prize in Literature, reads major works of recent laureates, and contends with claims and imaginings of a universal canon, a new “literary space.” Normal Letter Grade only. View course scheduling information
	ENG 056: Introduction to World Drama [4.0 units] In this course we will read plays from across the globe and thousands of years, learning about the theatrical and historical contexts of each play. Students will explore this drama with their voices as well as their minds, performing in a scene and developing reading and writing skills. Normal Letter Grade only. View course scheduling information
	ENG 057: Introduction to Poetry [4.0 units] Teaches students how to read a poem. This class will equip students with the tools necessary to approach, evaluate, and enjoy this infamously peculiar and wonderful medium of language, reading everything from classic sonnets to cutting-edge poetry of today. Normal Letter Grade only. View course scheduling information
	ENG 058: Literature of the Natural Environment [4.0 units] Introduces students to literature about the natural environment. Surveys poetry, essays, and fiction while also keeping in mind specific developments in land uses and political responses to owning the environment. Explores a variety of genres and topics within the wide rubric of nature writing. Normal Letter Grade only. View course scheduling information
	ENG 059: Apocalyptic Literature [4.0 units] The question that this course’s texts will think about is none other than what happens when the world ends. This seminar will delve (without fear) into a diverse selection of historical and contemporary narratives of apocalypse and doomsday scenarios, while focusing on close reading and writing skills. Normal Letter Grade only. View course scheduling information
	ENG 062: Literature and Gender [4.0 units] You will read several kinds of literature that deal with issues of gender, including works written by men and women in various times and places, and think about the way that gender is portrayed and performed by the narrators, speakers, and characters involved. Normal Letter Grade only. View course scheduling information

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University of California, Merced

Course Descriptions

ECON 162: Corporate Finance

ECON 163: Economics of Investments, Futures, and Options

ECON 170: Game Theory

ECON 190: Topics in Economics

ECON 192: Internship in Economics

ECON 195: Upper Division Undergraduate Research

ECON 196: Senior Thesis in Economics I

ECON 197: Senior Thesis in Economics II

ECON 198: Upper Division Directed Group Study

ECON 199: Upper Division Individual Study

ECON 240: Advanced Labor Economics I

ECON 290: Quantitative Labor Studies Seminar

ECON 295: Graduate Research

ECON 298: Directed Group Study

ECON 299: Directed Independent Study

EDUC 010: The Essentials of Educational Practice and Policy

EDUC 090X: Freshman Seminar

EECS 205: Probability and Stochastic Processes

EECS 207: Digital Image Processing

EECS 250: Advanced Topics Computer Systems

EECS 252: Embedded Computer Systems

EECS 260: Optimization

EECS 262: Networking of Embedded Sensor Systems

EECS 263: Cloud Computing

EECS 265: Computational Geometry

EECS 267: Computer Graphics

EECS 270: Robot Algorithms

EECS 271: Theory of Computation

EECS 272: Program Verification and Model Checking

EECS 273: Computational Cognitive Neuroscience

EECS 274: Computer Vision

EECS 275: Matrix Computation

EECS 276: Machine Learning

EECS 277: Database Systems Implementation

EECS 279: Approximation Algorithms

EECS 280: Advanced Topics in Computer Networks and Distributed Systems

EECS 281: Advanced Topics in Robotics

EECS 282: Advanced Topics in Machine Learning

EECS 283: Advanced Topics in Intelligent Systems

EECS 284: Large Scale Data Management

EECS 285: Advanced Topics in Motion Planning

EECS 286: Advanced Topics in Computer Vision

EECS 287: Computer Animation and Simulation

EECS 290: Electrical Engineering and Computer Science Seminar

EECS 295: Graduate Research

EECS 298: Directed Group Study

EECS 299: Directed Independent Study

ENGR 040: History of Technology in Society I

ENGR 041: History of Technology in Society II

ENGR 045: Introduction to Materials

ENGR 050: Statics

ENGR 052: Computer Modeling and Analysis

ENGR 053: Materials and the Environment

ENGR 057: Statics and Dynamics

ENGR 065: Circuit Theory

ENGR 095: Lower Division Undergraduate Research

ENGR 097: Engineering Service Learning

ENGR 098: Lower Division Directed Group Study

ENGR 099: Lower Division Individual Study

ENGR 108: BioEntrepreneurship

ENGR 120: Fluid Mechanics

ENGR 130: Thermodynamics

ENGR 135: Heat Transfer

ENGR 140: Introduction to Object Oriented Programming

ENGR 141: Environmental Science and Policy

ENGR 151: Strength of Materials

ENGR 155: Engineering Economics Analysis

ENGR 158: Service Innovation

ENGR 160: Discrete Mathematics

ENGR 166: Analog and Digital Electronics

ENGR 170: Introduction to Electron Microscopy

ENGR 170L: Introduction to Electron Microscopy Laboratory

ENGR 175: Information Systems for Management

ENGR 180: Spatial Analysis and Modeling

ENGR 190: Engineering Capstone Design