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COMP 110 - Computer Literacy for Educators (Cross-listed as LS 110)
Units: 3
Three hours lecture per week
An introduction to computer systems, including web applications, word processing, spreadsheets, database emphasizing their use in educational settings. Not open to Computer Science majors.
Same as: LS 110
GenEd: B4
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COMP 121 - Introduction to Programming in C
Units: 3
Three hours lecture per week
Introduces the student to problem solving using algorithmic methods implemented in the C programming language. The C programming language is presented in a manner appropriate for students with no prior programming experience. The emphasis is on scientific applications within a UNIX environment.
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COMP 150 - Object-Oriented Programming
Units: 4
Three hours lecture and three hours lab per week
Prerequisite: MATH 105 or equivalent and COMP 105 /IT 105 or Permission of the Instructor
Introduction to algorithms, their representation, design, structuring, analysis and optimization. The course introduces the concept of object paradigm, design and implementation of algorithms as structured programs in a high level language.
Graded: Graded
GenEd: B4
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COMP 151 - Data Structures And Program Design
Units: 4
Three hours lecture and three hours lab per week
Prerequisite: COMP 150
Introduction to data structures and the algorithms that use them. Review of composite data types such as arrays, records, strings, and sets. Topics include: the role of the abstract data type in program design, definition, implementation and application of data structures such as stacks, queues, linked lists, trees and graphs recursion use of time-complexity expressions in evaluating algorithms. comparative study of sorting and searching algorithms.
Graded: Graded
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COMP 162 - Computer Architecture And Assembly Language
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 121 or COMP 150 or IT 151
An introduction to computer architecture, assembly language programming, system software and computer applications. Topics include: number systems and data representation internal organization of a computer primitive instructions and operations Assembly language language translation principles overview of operating systems.
Graded: Graded
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COMP 221 - Unix System Programming I (Cross-listed as IT 221)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 151 or IT 151
Fundamentals of the UNIX operating system, including the command line interface (CLI), shell commands and related utilities. C will be covered at an accelerated pace, appropriate for students who already know another programming language. Fundamental C libraries, and basic UNIX system calls, will be covered. Principles of the program development cycle as applied to a UNIX environment will also be presented.
Same as: IT 221
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COMP 232 - Programming Languages
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 150 and COMP 151 and COMP 162
Discussion of issues in the design, implementation, and use of high-level programming languages. Topics include: historical background; how languages reflect different design philosophies and user requirements; technical issues in the design of major imperative (procedural) programming languages; other approaches to programming: functional programming, logic programming, and object-oriented programming.
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COMP 262 - Computer Organization and Architecture
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 151 and COMP 162
Extension of basic addressing concepts to more advanced addressability such as base register and self relative addressing. Topics include: comparative computer architecture focusing on such organizations as multiple register processors and stack machines; basics of virtual memory, input/output; introduction to the concept of microprogrammable systems; low-level language translation process associated with assemblers; system functions such as relocatable loading and memory management; application of data structure and hashing techniques to the above.
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COMP 337 - Survey of Computer Gaming
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
This course provides the student with a broad understanding of the world of computer gaming. This includes the evaluation and analysis of the cultural, historical, literary, psychological, and technological impact of computer gaming on society. The course will survey the different types of computer games such as educational, sports, first person shooter, adventure, and strategy, along with an overview of the design, implementation, and testing issues that confront game developers. The student will construct, submit and evaluate several written reports during the semester.
GenEd: B4, UDIGE
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COMP 342 - Internet-Based Social Networks (Cross-listed as COMM 342, SOC 342)
Units: 3
Three hours lecture per week
Explores the ongoing evolution of Internet based social networks using an interdisciplinary approach. Incorporates research from sociology, computer science, media studies, and philosophy to understand Internet based social networks, cultural and structural conditions of online communication, virtual identity construction, management of digital media, and the impact online social networks have on various institutions of society.
Same as: COMM 342 , SOC 342
GenEd: B4, D, UDIGE
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COMP 345 - Digital Image Processing (Cross-listed as PHYS 345, MATH 345)
Units: 3
Three hours lecture in the lab per week
Prerequisite: Junior Standing or Consent of Instructor
An introduction to the basic concepts and techniques for digital image restoration and enhancement, analysis, coding and compression. The emphasis is on processes which analyze primarily two-dimensional discrete images represented at the pixel level, including filtering, noise reduction and segmentation. Fourier analysis techniques will be explored. Programming exercises will be used to implement the various processes, and their performance on synthetic and real images will be studied.
Same as: PHYS 345 , MATH 345
GenEd: B1, B4, UDIGE
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COMP 350 - Introduction To Software Engineering
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 232 and COMP 262
Concepts and techniques for systems engineering, requirements analysis, design, implementation and testing of large scale computer systems. Principles of software engineering for production of reliable, maintainable and portable software products. Emphasis on functional analysis and structured design techniques. Topics include unit, integration and systems testing, configuration management, and software quality assurance practices. Participation in group activities involving analysis, design and implementation of a software intensive system. Introduction to Computer Aided Software Engineering (CASE).
Graded: Graded
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COMP 351 - Distributed Computing
Units: 3
Three hours lecture per week
Prerequisite: COMP 151
Learn effective use of remote objects and component technologies in computer programs. Study of fundamentals of distributed programming technologies. Build expertise in using modern tools and services to transparently integrate local and remote resources to solve problems.
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COMP 362 - Operating Systems
Units: 4
Three hours lecture and three hours lab per week
Prerequisite: COMP 151 , COMP 162 , COMP 232 , and COMP 262
Examination of the principal types of systems including batch, multi-programming, and time-sharing. Networked systems are also discussed. The salient problems associated with implementing systems are considered including interrupt or event driven systems, multi-tasking, storage and data base management, and input-output. Emphasis will be placed on some of the simple algorithms used to solve common problems encountered such as deadlocks, queue service, and multiple accesses to data. Projects will be implemented to reinforce the lectures.
Graded: Graded
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COMP 420 - Database Theory and Design (Cross-listed as IT 420)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: MATH 300 or MATH 301 and COMP 151 or IT 151
Topics include: database structure including: structure definition, data models, semantics of relations, and operation on data models; database schemas: element definition, use and manipulation of the schema; elements of implementation.; algebra of relations on a database; hierarchical data bases. Discussion of information retrieval, reliability, protection and integrity of databases.
Same as: IT 420 .
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COMP 424 - Computer System Security (Cross-listed as IT 424)
Units: 3
Three hours lecture in the lab per week
Prerequisite: COMP 151 or IT 221 required, COMP 362 or IT 421 recommended
Security techniques in operating systems, data bases, and computer networks. Analysis of formal security models. Introduction to cryptography, and public key security schemas.
Same as: IT 424
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COMP 425 - Computer Game Programming
Units: 3
Three hours lecture per week
Prerequisite: COMP 151
This course focuses on exploring software techniques for development of computer-controlled games. The topics include: principles of game design, integrating graphics, animation and audio in games, game control including methods based on artificial intelligence, networking for multi-player games, game optimization and deployment, and game development cycles.
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COMP 429 - Computer Networks (Cross-listed as IT 429)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 232 and COMP 362 or COMP 221 and IT 421
Description: Basic software design and analysis considerations in networking computers into coherent, cooperating systems capable of processing computational tasks in a distributed manner. Network topology, routing procedures, message multiplexing and process scheduling techniques will be discussed.
Graded: Graded
Same as: IT 429
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COMP 437 - Foundations of Computer Game Development
Units: 3
Three hours lecture per week
Prerequisite: COMP 105 , MATH 137 , ART 205 , ART 206 or Consent of Instructor
Provides the foundation for a multidisciplinary approach to computer game development. The students study game design principles; implementation methodologies and technologies; gaming industry management issues, perspectives from art, technology and business.
GenEd: B4, UDIGE
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COMP 445 - Image Analysis and Pattern Recognition (Cross-listed as PHYS 445, MATH 445)
Units: 3
Three hours lecture in the lab per week
Prerequisite: PHYS 345 /COMP 345 /MATH 345 or Consent of Instructor
The course addresses the issue of analyzing the pattern content within an image. Pattern recognition consists of image segmentation, feature extraction and classification. The principles and concepts underpinning pattern recognition, and the evolution, utility and limitations of various techniques (including neural networks) will be studied. Programming exercises will be used to implement examples and applications of pattern recognition processes, and their performance on a variety of diverse synthetic and real images will be studied.
Same as: PHYS 445 , MATH 445
GenEd: B1, B4, UDIGE
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COMP 447 - Societal Issues in Computing
Units: 3
Three hours lecture in the lab per week
Prerequisite: Senior Standing
Surveys the role of the digital computer in modern society. Topics include: dangers of the misuse of computers, privacy, copyright, computer crime, legal and social issues, as well as the ethical and appropriate use of computers.
GenEd: B4, D, UDIGE
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COMP 449 - Human-Computer Interaction (Cross-listed as PSY 449)
Units: 3
Three hours lecture in the lab per week
The information exchange between humans and computer systems will be examined. Aspects of input/output devices, software engineering, and human factors will be discussed with respect to human-computer interactions. Topics include: text and graphic display; user modeling; program design, debugging, complexity and comprehension; and current research studies and methodologies.
Same as: PSY 449
GenEd: B4, E, UDIGE
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COMP 451 - Advanced Object-Oriented Programming
Units: 3
Three hours lecture in the lab per week
Prerequisite: COMP 350 and COMP 362
Principles of object-oriented design and programming based on languages such as JAVA, C++ and Smalltalk will be presented. Understanding of the role of objects, methods, message passing, encapsulation, and inheritance for effective programming will be stressed. Language structure versus particular engineering objectives will be analyzed. Design patterns techniques will be an unifying theme.
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COMP 452 - Computational Bioinformatics (Cross-listed as MATH 452)
Units: 4
Four hours lecture in the lab per week
Prerequisite: Programming experience and Statistics, or Consent of Instructor
Basic computational models used in molecular biology will be introduced. Topics include algorithms for string alignments, dynamic programming, structural superposition algorithms, computing with differential information, 3D motifs, Hidden Markov Models, phylogenetic trees, statistical/information techniques for pattern recognition, genetic algorithms.
Same as: MATH 452
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COMP 454 - Automata, Languages, and Computation
Units: 3
Three hours lecture in the lab per week
Prerequisite: MATH 300
Study of the relation of languages (i.e. sets of strings) and machines for processing these languages, with emphasis on classes of languages and corresponding classes of machines. Phrase structure languages and grammar. Types of grammars and classes of languages. Regular languages and finite state automata. Context-free languages and pushdown automata. Unrestricted languages and Turing Machines. Computability models of Turing, Church, Markov, and McCarthy. Applications to programming languages, compiler design, and program design and testing.
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COMP 462 - Embedded Systems
Units: 3
Two hours lecture and three hour lab per week
Prerequisite: COMP 350 and COMP 362 or Consent of Instructor
Covers the design of embedded systems. This includes the analysis of small computer systems designed for robotic mechanisms and common appliances such as cell phones and other hand held devices. Topics include the design, implementation and testing of software used in such systems with special attention paid to maximizing the use of limited computational resources and the need for event-driven real time system responses.
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COMP 464 - Computer Graphic Systems And Design I (Cross-listed as IT 464, ART 464)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 350 and MATH 240 or COMP 221 /IT 221 and MATH 301
Topics include: fundamental concepts of computer graphics graphics devices graphics languages interactive systems applications to art, science, engineering and business trade-offs between hardware devices and software support.
Graded: Graded
Same as: IT 464, ART 464
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COMP 466 - Computer Graphic Systems And Design II (Cross-listed as IT 466, ART 466)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 464 /ART 464 /IT 464
Advanced concepts of computer graphics. Topics include computer graphics software and hardware, mathematical basis of geometric modeling, data base management in manufacturing environments, imagining and visualization.
Graded: Graded
Same as: IT 466, ART 466
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COMP 469 - Introduction To Artificial Intelligence
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 350 and COMP 362
A hands-on exploration of the use of computers to perform computations normally associated with intelligence, pattern formation and recognition using a variety of symbolic and sub-symbolic methods. Knowledge acquisition, representation, and maintenance will be covered.
Graded: Graded
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COMP 470 - Mobile Robotics
Units: 3
Two hours lecture and 3 hours lab per week
Prerequisite: COMP 350 , COMP 362 , MATH 240 , or Consent of Instructor
Introduces students to the design, construction and programming of mobile robots. Included are traditional topics of robot architecture, sensors, actuators, robot kinematics and dynamics. In addition, topics such as adaptive control and human-robot interaction will also be studied. Students will have the opportunity to design and build their own robot and to program it to perform some useful task.
Graded: Graded
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COMP 478 - Introduction To Data Mining
Units: 3
Two hours lecture and three hours lab per week
Prerequisite: COMP 350, COMP 362, MATH 151, MATH 240, MATH 352 and Consent of Instructor
Practical programming introduction to tools, methods, techniques, and workflows for understanding large quantities of data. Familiarizes students with instruments for data representation, preprocessing including data cleaning and reduction, input feature selection, data analysis including classification, clustering, and prediction, and data visualization.
Graded: Graded
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COMP 490 - Topics in Computer Science
Units: 3
Three hours lecture per week
Prerequisite: Upper-division standing
Current issues in computer science. Repeatable by topic up to 9 units.
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COMP 491 - Capstone Preparation
Units: 1
One hour activity per week
Prerequisite: COMP 350 , COMP 362 , Senior Standing in the Computer Science Major
Research and develop a proposal for a significant software project under faculty supervision.
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COMP 492 - Internship
Units: 1-3
Variable activity hours per week
Prerequisite: Upper-division standing and program approval of written proposal
Supervised work experience and study in an industrial or scientific setting involving development of computer information related skills. Repeatable by topic up to 9 units.
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COMP 494 - Independent Research
Units: 1-3
Variable activity hours per week
Prerequisite: Upper-division standing and program approval of written proposal
Supervised project involving theoretical research in the field of computer science and its applications. Repeatable by topic up to 9 units.
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COMP 497 - Directed Studies
Units: 3
Three hours activity per week
Prerequisite: Program approval of written proposal
Supervised project involving library research in the field of computer science or its applications. Repeatable by topic up to 9 units.
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COMP 499 - Capstone Project
Units: 3
Three hours independent study per week
Prerequisite: COMP 491
Design, implement and present a significant software project under faculty supervision. Repeatable by topic up to 9 units.
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COMP 510 - Advanced Image Analysis Techniques (Cross-listed as PHYS 510, MATH 510 )
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the MS Mathematics Program or MS Computer Science
Program Image processing course in the fundamentals of 2-D digital signal processing with emphasis in image processing techniques, image filtering design and applications. Programming exercises in Matlab (or Octave) will be used to implement the various processes, and their performance on synthetic and real images will be studied. Applications in medicine, robotics, consumer electronics and communications.
Same as: PHYS 510, MATH 510
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COMP 520 - Advanced Database Systems
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
This graduate course covers advanced analysis of Relational Database Management Systems including their design and implementation. Topics include relational algebras, Entity Relation Diagrams, first, second, and third Normal Forms, data integrity constraints, triggers, query optimization, indexing, stored procedures, distributed databases, database administration issues, transaction processing and scheduling, object oriented database modeling, and data security.
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COMP 524 - Security
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
A survey of security issues and techniques for stand-alone and networked computer systems including databases. Techniques such as auditing, risk analysis, cost-benefit analysis. Security standards. Application in various fields.
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COMP 529 - Cloud Computing
Units: 3
Three hours of lecture per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program and Consent of Instructor
Design and programming of distributed systems that use telecommunication networks as their computing platform.
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COMP 532 - Computational Bioinformatics
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program and Consent of Instructor
Contemporary computational models used in molecular biology and structures simulations will be introduced. Topics include dynamic programming, statistical/ information techniques for pattern recognition, algorithms for string alignments, structural superposition algorithms, computing with differential information, 3D motifs, Hidden Markov Models, phylogenetic trees, genetic algorithms.
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COMP 546 - Pattern Recognition (Cross-listed as PHYS 546, MATH 546)
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
New and emerging applications of pattern recognition (PR) such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient techniques. Statistical decision making and estimation are fundamental to the study of PR. Pattern content is analyzed using feature extraction and classification. The principles and concepts underpinning PR, and the evolution, utility and limitations of various techniques (including neural networks) will be studied. Programming exercises will be used to implement examples and applications of PR processes, and their performance on a variety of diverse examples will be studied.
Same as: PHYS 546 , MATH 546
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COMP 549 - Human-Computer Interaction
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
The design, development and analysis of effective interfaces to computer systems. Trends in graphical user interfaces.
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COMP 550 - Advanced Software Engineering
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program and Consent of Instructor
Fundamentals of Object-Oriented Design and Analysis. Designing systems with Unified Modeling Language (UML) and patterns. Applications to other fields.
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COMP 554 - Algorithms (Cross-listed as MATH 554)
Units: 3
Three hours lecture per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Design strategies for algorithms and data structures. Theoretical limits to space and time requirements. Time/space trade-offs. Categories of problems and algorithms. Applications to business, bioinformatics, engineering, telecommunications and other disciplines. Open problems in the field.
Same as: MATH 554
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COMP 566 - Geometry and Computer Graphic
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Algorithms for geometric analysis and retrieval of 3D shapes from large 3D databases common in several fields, including computer graphics, computer-aided design, molecular biology, paleontology, and medicine. The focus of study will be recent methods for matching, registering, recognizing, classifying, clustering, segmenting, and understanding 3D data.
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COMP 569 - Artificial Intelligence
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
The course covers the many aspects of how human intelligence might be encoded in computer programs and mechanisms such as robots. This includes topics in Natural Language Processing, Computer Vision, Expert Systems, and Automated Problem Solving.
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COMP 571 - Biologically Inspired Computing
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Study of computing paradigms that have roots in Biology including Neuromorphic Systems, Evolutionary Systems, Genetic Programming, Swarm Intelligence and Artificial Immune Systems.
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COMP 572 - Neural Networks
Units: 3
Three hours of lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Covers the basic ideas of distributed computation with many simple processing units, similar to the neurons of the brain. Topics include: Hopfield style networks applied to optimization problems, and the backpropagation method applied to pattern classification problems. Additional topics include associate memory, binary vs. analog networks, simulated annealing.
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COMP 575 - Multi-Agent Systems
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Analysis of design issues that currently confront software engineers as they define the electronic ecosystem that will be housed in the computer networks of the future. The course focuses on state-of-the-art agent technology. In this course the student will build an agent development framework and then implement several intelligent agents.
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COMP 578 - Data Mining
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
This graduate course covers the fundamentals of Data Mining. Topics include: the analysis of patterns of data in large databases and data warehouses, the application of statistical pattern recognition, and data modeling and knowledge representation. Applications in large databases and gene hunting.
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COMP 581 - Mathematical Methods in Artificial Intelligence (Cross-listed as MATH 581)
Units: 3
Three hours lecture in the lab per week
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
This course presents several branches of mathematics that provide computational basis for Artificial Intelligence. The course covers Trees and Search, The Concepts of Predicate Logic, The Theory of Resolution, Nonmonotonic Reasoning, Probability Theory, Bayesian Networks, Fuzziness and Belief Theory, Classifier Systems, Math for Neural Networks, Elements of Statistics, Decision Trees and Optimization.
Same as: MATH 581
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COMP 590 - Advanced Topics in Computer Science
Units: 3
Three hours lecture per week
Selected advanced topics in Computer Science.
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COMP 597 - Master Thesis
Units: 1-3
Two to six hours activity per week
Supervised research in the field of computer science or its applications. Required to present their research at Graduate Seminar. Repeatable.
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COMP 599 - Graduate Seminar
Units: 1
Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
Oral presentations of current advancements in the field, reports on students’ research, master thesis, and projects. Repeatable.
Graded: Credit/No Credit
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Economics |
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ECON 110 - Principles of Microeconomics
Units: 3
Three hours lecture per week
The application of economic reasoning to the decisions of consumers and producers. Topics include opportunity cost, resource allocation, the price system, the organization of industry, market failures, distribution of income, public sector economics.
GenEd: D
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ECON 111 - Principles of Macroeconomics
Units: 3
Three hours lecture per week
Prerequisite: ECON 110
Study of the workings of the economy. Topics include national income accounting, business cycles, employment and unemployment, inflation, economic growth, financial institutions, fiscal and monetary policy, and international trade.
GenEd: D
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ECON 203 - Introduction to Social Business (Cross-listed as BUS 203, SOC 203)
Units: 3
Three hours lecture per week
Interdisciplinary overview of Social Business models and their application to social, economic, technological, cultural, political and environmental issues both locally and globally. Introduction to the finance and planning of Social Businesses, as well as comparisons to traditional and other alternative business models.
Same as: BUS 203 , SOC 203
GenEd: D
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ECON 300 - Fundamentals of Economics
Units: 3
Three hours lecture per week
Foundations of economic analysis spanning key elements of micro- and macroeconomics utilized to address common issues in business and public affairs. Not open to students with credit in Econ 110 or 111.
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ECON 301 - Social Business Planning (Cross-listed as BUS 301, SOC 301)
Units: 3
Three hours lecture per week
Prerequisite: BUS 203 / /SOC 203
Addresses the major issues confronted when planning a social business: identification, diagnosis and measurement of social problem, elements of a social business plan including all types of resource flows, plausible forecasting about them, tax issues, and legal issues. Students will interact with an existing social business and research its business plan.
Same as: BUS 301 , SOC 301
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ECON 305 - Introduction to Microfinance (Cross-listed as BUS 305)
Units: 1
One hour seminar per week
Explores the theory and practice of microfinance as a tool for poverty alleviation and economic development. Key elements of microfinance operations and challenges will be discussed.
Graded: Credit/No Credit
Same as: BUS 305
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ECON 310 - Intermediate Microeconomics
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 , ECON 111 and MATH 140 or MATH 150
Economic analysis of the decisions of consumers and producers. Emphasis on the theory of consumer behavior, the theory of the firm, price and output determination in various market structures, factor markets and externalities.
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ECON 311 - Intermediate Macroeconomics
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 , ECON 111 and MATH 140 or MATH 150
Determinants of levels of national income, employment, and price levels. Analysis of secular and cyclical changes in economic activity, and the effects of monetary and fiscal policies on these changes.
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ECON 320 - Money and Banking
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 , ECON 111 and MATH 140 or MATH 150
Nature and functions of money and its relation to prices; the monetary system of the United States; the functions of banks, bank credit, foreign exchange and monetary control. The impact of monetary policy on economic activity.
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ECON 329 - Managerial Economics
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 , ECON 111 and MATH 140 or MATH 150
Development of the tools of marginal analysis and their application to managerial decisions and planning. Topics include demand analysis, production and cost, pricing and output decisions under different market structures. Product and factor markets will be analyzed.
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ECON 331 - Narratives Of The Working Class (Cross-listed as ENGL 331, SOC 331)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
Examines the lives of working people using various thematic approaches and disciplinary methodologies. Materials include literature, film, and case studies.
Graded: Graded
Same as: ENGL 331, SOC 331
GenEd: C2, D, UDIGE
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ECON 340 - Business and Economics in Literature (Cross-listed as BUS 340, ENGL 340)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
Explores the ways in which business and economics have been represented in American literature. Employs critical methodologies from the fields of Business, Economics, and Literary studies.
Same as: BUS 340 , ENGL 340
GenEd: C2, D, UDIGE
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ECON 341 - Drug Discovery and Development (Cross-listed as CHEM 341, BUS 341)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
How are drugs discovered? What determines the price for a drug? What is the difference between a generic and non-generic drug? These questions will be examined with an interdisciplinary approach. Topics include the isolation of compounds from natural sources, the screening of compounds for biological activity, structure-activity relationships of drugs, computer-assisted drug design, combinatorial chemistry, bioinformatics, the FDA approval process for new drugs, and the economic and business aspects of pharmaceutical investment and development.
Same as: CHEM 341 , BUS 341
GenEd: B1, D, UDIGE
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ECON 342 - The Zoo: Conservation, Education and Recreation (Cross-listed as BIOL 342, BUS 342, EDUC 342)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
An interdisciplinary study of zoos and zoological gardens from scientific, managerial, business, recreational and educational perspectives. Analyzes how these perspectives are linked within zoo practices. The course will include an in-depth case study of a local zoo. Field trips to local zoos will be required.
Same as: BIOL 342 , BUS 342 , EDUC 342
GenEd: D, UDIGE
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ECON 344 - The Library: Collections, Services & Instruction (Cross-listed as BUS 344, EDUC 344, LIB 344)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
A study of university, school (K-12), public, and special libraries from business, economic, library science, and educational perspectives. Analyzes how these perspectives are linked within library practices. A study of local libraries and field trips.
Same as: BUS 344 , EDUC 344 , LIB 344
GenEd: D, UDIGE
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ECON 347 - The University (Cross-listed as BUS 347, EDUC 347)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing or Consent of Instructor
A study of institutions of higher education from multiple perspectives including, but not limited to education, teaching and learning, scholarly and creative activities, community service, management, and public policy. Includes case studies of colleges and universities in the region and may include field trips to these institutions.
Same as: BUS 347 , EDUC 347
GenEd: D, UDIGE
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ECON 349 - History of Business and Economics in North America (Cross-listed as HIST 349, BUS 349)
Units: 3
Three hours of lecture per week
Prerequisite: Junior Standing or Consent of Instructor
Examines the growth and development of the economies of North America since colonial times. Addresses social, ethical, economic and management issues during the development of Canada, the United States, and Mexico. Analyzes the business principles underlying the growth and development of the economies.
Same as: HIST 349 , BUS 349
GenEd: D, UDIGE
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ECON 362 - Environmental Economics
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 and ECON 111
Economic analysis of environmental problems and policy. Market failures due to externalities, public goods, and common property resources are examined. Private (market) and public (government) solutions to environmental problems are examined.
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ECON 411 - Economics of Entrepreneurship
Units: 3
Three hours lecture per week
Prerequisite: ECON 110 and ECON 111
Application of economic concepts to entrepreneurial strategies and decisions. Analysis of entrepreneurial activities as related to production, markets, innovation, risk, and the macroeconomy.
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ECON 420 - Experimental Economics
Units: 3
Three hours lecture per week
Prerequisite: ECON 310 or ECON 329 and MATH 329 or MATH 352
The application of experiments to economic theory and behavior. Topics include experiment design in controlled and “field” settings; individual choice over risk, time, and altruism; behavior in non-cooperative games; and behavior in market settings.
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ECON 435 - The Music Museum (Cross-listed as BUS 435, EDUC 435, PAMU 435)
Units: 3
Three hours lecture per week
Prerequisite: Junior Standing
An interdisciplinary study of music museums from the perspectives of music history, appreciation and production, business, economics and education. Analyzes how these disciplines are linked within music museum practices. Includes an in-depth study of a local music museum.
Same as: BUS 435 , EDUC 435 , PAMU 435
GenEd: D, UDIGE
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ECON 444 - Values and Valuables (Cross-listed as ANTH 444)
Units: 3
Three hours lecture per week
Prerequisite: ANTH 102 or ECON 110
Examination of the intimate linkages between the creation of cultural values and the perception of economic value through the analysis of production and exchange in various cultural contexts. Synthesis of the debates in the field of economic anthropology and application to pre-historic, modern, Western and non-Western societies.
Same as: ANTH 444
GenEd: D, UDIGE
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ECON 448 - Globalization and Development (Cross-listed as SOC 448, BUS 448)
Units: 3
Three hours lecture per week
Prerequisite: SOC 100
Examines empirical and theoretical issues of globalization from a sociological perspective, to understanding how the forces of globalization affect economic, political and cultural systems of both developed and developing nations.
Same as: SOC 448 , BUS 448
GenEd: D, UDIGE
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ECON 470 - The World Economy
Units: 3
Three hours lecture per week
Prerequisite: ECON 111
Theory, practice, and institutions of the international economy. Topics include international trade and investment, balance of payments, foreign exchange rates, international institutions in the global economy, and international economic policy. (Formerly ECON 370)
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ECON 471 - International Trade
Units: 3
Three hours lecture per week
Prerequisite: ECON 310 or ECON 329
The theory of international trade, effects of tariff and non-tariff barriers, and conduct of commercial policy. Topics include theories of comparative advantage, gains from trade, distribution effects of trade, international factor movements and trade restrictions, the political economy of trade and industrial policy.
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ECON 472 - International Macroeconomics
Units: 3
Three hours lecture per week
Prerequisite: ECON 311 or ECON 320
Macroeconomic analysis of the open economy, the impact of stabilization policies in a global economy, the role of the balance of payments, and the international monetary system. Topics include balance of payments accounts, spot-forward exchange rates, interest rate arbitrage, purchasing-power parity, exchange rate determination and macroeconomic policy in an open economy.
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ECON 473 - Development Economics
Units: 3
Three hours lecture per week
Prerequisite: ECON 310 OR ECON 311
Economic underdevelopment and its causes from historical, institutional and structural perspectives. Theories and patterns of growth and development, and the role of government, trade, education. Regional focus may vary by semester.
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ECON 480 - Topics in Environmental and Natural Resource Economics
Units: 3
Three hours lecture per week
Prerequisite: ECON 362 or ECON 464 or Consent of Instructor
Application of economic analysis to topics in environmental and natural resource economics. Representative topics include: energy problems and policies, the measurement of market and non-market benefits and costs, endangered species management.
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ECON 488 - Econometrics
Units: 4
Three hours lecture and two hours activity per week
Prerequisite: ECON 310 or ECON 329 ; MATH 140 or MATH 150 ; or MATH 202 or MATH 329 or MATH 352
Emphasis on the collection and manipulation of economic data, and the application of econometric methods to business and resource management issues. Development of testable hypotheses, applications of estimation techniques and interpretation of regression results. Use of econometric software applications to estimate statistical relations.
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ECON 490 - Special Topics
Units: 1-3
Three hours per week
Prerequisite: Consent of Instructor
In-depth analysis of current topics in economics. Topics vary each semester. Repeatable by topic up to 6 units.
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ECON 492 - Service Learning/Internship
Units: 3
Six hours per week
Prerequisite: Consent of Instructor
Individual internship through service learning. Repeatable by topic up to 6 units.
Graded: Credit/No Credit
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ECON 496 - Seminar in Economic Analysis
Units: 3
Three hours seminar per week
Prerequisite: ECON 310 and ECON 311
In-depth analysis of major events and trends in domestic and international economics. Focus on empirical techniques and the practical application of economics in a variety of settings.
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ECON 497 - Directed Study
Units: 1-3
Variable hours activity per week
Prerequisite: Consent of Instructor
Individual contracted study on topics or research selected by the student and faculty mentor. Repeatable for up to 9 units.
Graded: Credit/No Credit
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ECON 498 - Faculty-Student Collaborative Research in Social Business (Cross-listed as BUS 498, SOC 498)
Units: 2-3
Two to six hours activity per week
Prerequisite: BUS 203 /ECON 203 /SOC 203 , BUS 301 /ECON 301 /SOC 301 and Consent of Instructor
Engage in the creation of original intellectual or creative work by collaborating with a faculty member on research of a social business. Includes in-depth and possible on-site study of a social business using knowledge from previous courses in the minor/certificate; and the writing of a case study about the chosen social business.
Same as: BUS 498 , SOC 498
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ECON 499 - Capstone
Units: 3
Three hours of lecture per week
Prerequisite: , ECON 311 , ECON 488 , and at least half of economics major (or economics major option) required upper-division courses.
In-depth analysis of an economic issue utilizing the theoretical and empirical tools developed in the required major courses. Culminates with a senior paper and a formal presentation.
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Early Childhood Studies |
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ECS 101 - Introduction to Early Childhood Education
Units: 3
Two hours seminar and two hours activity per week
An overview to the field of early childhood education paired with structured observational experiences in early childhood settings. Emphasis is placed on gaining an awareness of connections between disciplinary content knowledge about teaching and learning in early childhood. This course will provide students with the opportunity to explore career options for serving young children and families. Thirty hours of field experience in early childhood settings is required. Fingerprint clearance is required.
GenEd: D
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ECS 150 - Foundations of Child and Adolescent Development (Cross-listed as PSY 150)
Units: 3
Three hours lecture per week
Surveys theory and research on child and adolescent development. Focus is theories of development, cognitive, social, emotional and physical development as they are informed by socio-cultural factors.
Same as: PSY 150
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ECS 221 - Child, Family and Community in California in the 21st Century
Units: 3
Three hours lecture per week
Examines developing children in a societal context focusing on the interrelationship of family, school and community with an emphasis on historical and cultural factors which influence the family and processes of socialization. Focuses on the importance of respectful, reciprocal relationships that support and empower families and the social context of Southern California in the 21st Century.
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ECS 320 - Teaching And Learning Programs For Early Care And Development
Units: 3
Two hours lecture and two hours activity per week
Prerequisite: ECS 101 , ECS 150 /PSY 150
Corequisite: ECS 325
Studies historical perspectives and approaches to serving young children and their families with an emphasis on federal, state and local initiatives to promote quality early care and education. Development of listening, observing and documenting skills in early learning settings while examining and developing professional dispositions aligned with the National Association for the Education of Young Children’s code of ethical conduct. Thirty hours of field experience in early childhood settings is required. Meets a core requirement for the Child Development Permit in child, family, and community. TB tests and Fingerprint clearance is required. Repeatable up to 6 units
Graded: Graded
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ECS 322 - Early Childhood Program Administration
Units: 3
Three hours lecture per week
Prerequisite: ECS 320
Developing knowledge and competencies in administration of programs for young children; supervision of early childhood personnel and fiscal management; teacher selection; training and supervision; family involvement; and program evaluation.
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ECS 325 - Typical & Atypical Development: Birth - Age 8
Units: 3
Two hours lecture per week two hours activity per week
Prerequisite: ECS 150 /PSY 150
Corequisite: Concurrent enrollment with ECS 320
Focus on typical and atypical development from infancy through eight years of age with an emphasis on the cognitive, social-emotional, language, and physical domains of development. Theories of typical and atypical child development are discussed with implications for applied contexts, including infant/toddler and preschool/early elementary settings. The contexts of development, including families, schools, communities, and culture are presented. Thirty hours of field experience in early childhood settings is required. Fingerprint clearance is required.
Graded: Graded
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ECS 456 - Family and Community Engagement
Units: 3
Three hours lecture per week
Prerequisite: Senior Standing
Studies the relationships among families, communities, and educational programs with an emphasis on working with families from various cultures found in Southern California through exploring parent involvement, forms of communication with parents, parent education, and identifying resources for families. Appropriate for all teacher credential students, and other majors in the social service areas that interact with and serve families.
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ECS 460 - Infant/Toddler Educaring: Learning and Assessment
Units: 3
Three hours lecture per week
Prerequisite: ECS 320 , ECS 325 , SPED 345
Corequisite: ECS 461
Focus on the developmental and ecological principles of assessment and teaching strategies for infants, toddlers, and young children, ages birth to three, and their families. This course will prepare students to plan and implement individualized, developmentally and culturally appropriate assessment and curricular/teaching strategies for very young children with and without disabilities in diverse settings with a focus on cognitive, social-emotional, language, and physical development. Infant/toddler transition planning to preschool.
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ECS 461 - Infant/Toddler Student Teaching & Seminar
Units: 4
Nine hours field studies per week One hour seminar per week
Prerequisite: ECS 320 , ECS 325 , SPED 345
Corequisite: ECS 460
Student teaching in center-based settings for infants and toddlers. Students practice assessment and instructional strategies. Seminar is held in conjunction with the student teaching experience to serve as a forum for integrating research, theory, and recommended practices. One full school day of student teaching per week. Fingerprint clearance is required.
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