May 15, 2024  
2014-2015 Catalog 
    
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2014-2015 Catalog [ARCHIVED CATALOG]

Course Descriptions


 
 

Liberal Studies
  

  • LS 499 - Capstone Project

    Units: 3
    Prerequisite: Senior standing
    In conjunction with a faculty advisor, students design and complete a project that integrates prior course work and disseminate the project to the campus community.

Mathematics
  

  • MATH 94 - Introduction to Algebra

    Units: 0
    Four hours lecture and one hour activity per week
    A review of fundamental concepts of arithmetic, geometry and elementary algebra. Students who earn Credit in this course and in MATH 95  satisfy the Entry Level Mathematics (ELM) requirement. This course is offered Credit/No Credit only. Credit will not apply toward the baccalaureate degree but will apply as 5 units of University Credit.
    Graded: Credit/No Credit
  

  • MATH 95 - Intermediate Algebra

    Units: 0
    Four hours lecture and one hour activity per week
    Prerequisite: MATH 94  or an appropriate Entry Level Mathematics Score
    A review of concepts of geometry and intermediate algebra with applications. Students who earn Credit in this course satisfy the Entry Level Mathematics (ELM) requirement. This course is offered Credit/No Credit only. Credit will not apply toward the baccalaureate degree but will apply as 5 units of University Credit.
    Graded: Credit/No Credit
  

  • MATH 101 - College Algebra

    Units: 3
    Three hours lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics Examination
    Topic include: basic set theory, number systems and their algebraic properties; systems of equations and inequalities; basic analytic geometry, matrix algebra and elementary functions; and problem solving.
  

  • MATH 105 - Pre-Calculus

    Units: 4
    Four hours lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics Examination
    Topics include: number systems and their algebraic properties; systems of equations and inequalities; basic analytic geometry of lines and conic sections; elementary functions including polynomial, rational, exponential, and logarithmic, with emphasis on trigonometric functions, fundamental theorem of algebra and theory of equations; polar equations and curves.
    GenEd: B3
  

  • MATH 108 - Mathematical Thinking

    Units: 3
    Three hours lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics examination or MATH 95 .
    Presents the diversity of mathematics and the spirit in which it is employed in various situations, including different problem-solving strategies, inductive-deductive reasoning, paradoxes, puzzles and mathematical modeling. The contributions of various cultures and influences of other disciplines to mathematical thinking are studied.
    GenEd: B3
  

  • MATH 137 - Strategies and Game Design

    Units: 3
    Three hours lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics Examination
    This course introduces mathematics to the analysis of games. The principles of game theory including graphs, logic, algebra, geometry and probability are connected to game design, computer graphics and game strategies in various contexts. Applicable algorithms and techniques are demonstrated through appropriate computer gaming examples.
    Course Fee $40
    GenEd: B3
  

  • MATH 140 - Calculus for Business Applications

    Units: 3
    Three hours lecture per week
    Prerequisite: A passing score on the Calculus Placement Examination or MATH 101  or MATH 105 
    An integrated course in analytic geometry and calculus in the context of business and economics applications. Functions, limits, derivatives, integrals and mathematical modeling are used in problem solving in decision making context.
    GenEd: B3
  

  • MATH 150 - Calculus I

    Units: 4
    Four hours lecture per week
    Prerequisite: Passing scores on the Calculus Placement Examination or MATH 105 
    A course in analytic geometry and calculus. Topics include: elementary and transcendental functions, their properties, limits, derivatives, integrals and mathematical modeling.
    GenEd: B3
  

  • MATH 151 - Calculus II

    Units: 4
    Four hours lecture per week
    Prerequisite: MATH 150 .
    Topics include: differentiation, integration, sequences, infinite series, and power series.
  

  • MATH 201 - Elementary Statistics

    Units: 3
    Three-hour lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics Exam (ELM) or MATH 105  or MATH 101 
    Critical reasoning using a quantitative and statistical problem-solving approach to solving real-world problems. Topics include: probability and statistics, sample data, probability and empirical data distributions, sampling techniques, estimation and hypothesis testing, ANOVA, and correlation and regression analysis. Students will use standard statistical software to analyze real world and simulated data.
    GenEd: B3
  

  • MATH 202 - Biostatistics (Cross-listed as PSY 202)

    Units: 3
    Three hours lecture per week
    Prerequisite: A passing score on the Entry Level Mathematics Exam (ELM) or credit for MATH 105  or Equivalent
    Critical reasoning using a quantitative and statistical problem-solving approach to solve real-world problems. Uses probability and statistics to describe and analyze biological data collected from laboratory or field experiments. Course will cover descriptions of sample data, probability and empirical data distributions, sampling techniques, estimation and hypothesis testing, ANOVA, and correlation and regression analysis. Students will use standard statistical software to analyze real world and simulated data.
    Same as: PSY 202 
    GenEd: B3
  

  • MATH 208 - Modern Mathematics for Elementary Teaching I - Numbers and Problem Solving

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 101 
    Current issues of modern math curriculum including abstract thinking and problem solving approaches to teaching. Content covers systems of numeration, nature of numbers and fundamental operations, relations and functions, properties of integers, rational and real numbers, and mathematical modeling. Problem solving strategies and geometric interpretations are stressed. Designed for students intending to teach in K-8. This course is not open to students who have credit for Calculus.
    Course Fee $16
    GenEd: B3
  

  • MATH 230 - Logic and Mathematical Reasoning (Cross-listed as PHIL 230)

    Units: 3
    Three hours lecture per week
    Introduction to modern deductive logic. Critical thinking and abstract approaches to common language. Includes abstract sets and number sets, relations, prepositional logic, common language cases, and theory of quantification.
    Same as: PHIL 230
    GenEd: A3, B3
  

  • MATH 240 - Linear Algebra

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 151 
    Topics include: matrices, linear systems of equations, determinants, vectors in 2 and 3 dimensions, eigenvalues, the vector space RN, linear transformations, introduction to general vector spaces and applications.
  

  • MATH 250 - Calculus III

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 151  with a grade of C or better
    Topics include: functions of several variables, solid analytic geometry, partial differentiation, multiple integrals with applications; vector analysis, and line and surface integrals.
  

  • MATH 300 - Discrete Mathematics

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 230 
    Topics include: Sets, algebraic systems, axioms, definitions, propositions and proofs. Combinatorics, graph theory, moduli calculus. Coding, coding errors and Hamming codes. Students are expected to write mathematical proofs, and communicate mathematical ideas clearly in written and oral form.
  

  • MATH 301 - Discrete Mathematics for IT

    Units: 3
    Three hours lecture per week
    Applications of sets, logic, algebraic systems, combinatorics, graph theory, moduli calculus in information technology. Basic coding, coding errors and Hamming codes and applications.
  

  • MATH 308 - Modern Mathematics for Elementary School Teaching II - Geometry, Probability and Statistics

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 208  or Consent of Instructor
    Current issues of modern math curriculum including abstract thinking and problem solving approaches to teaching. Content covers systems of geometry and geometric interpretation of real numbers, geometric constructions, mathematical modeling, basic probability and statistics. Problem solving strategies are stressed. Designed for students intending to become elementary school teachers.
    Course Fee $16
  

  • MATH 318 - Mathematics for Secondary School Teachers

    Units: 3
    Three hours lecture in the computer lab per week
    Prerequisite: MATH 150 
    Current issues of modern secondary school math curriculum including abstract thinking, technology use and problem solving approaches to teaching. Content is geometry based, but selected topics from algebra, precalculus, and calculus will be discussed. Designed for students intending to teach. Service learning project required.
    Course Fee $16
  

  • MATH 329 - Applied Statistics for Business and Economics

    Units: 3
    Three hours lecture in the lab per week
    Prerequisite: MATH 101  or MATH 105 
    Applications of modern statistical methods used in business analysis and economics, especially in experimental data evaluation and decision making contexts. Topics include: sampling, probability, various distributions, correlation and regression, statistical inferences, hypothesis testing, problem solving and the consequences to underlying economical systems. Includes a project in the community.
    GenEd: B3
  

  • MATH 330 - Mathematics and Fine Arts

    Units: 3
    Three hours lecture in the lab per week
    Prerequisite: A passing score on the Entry Level Mathematics examination, or MATH 95 
    The course is specially designed for students interested in fine arts, with the emphasis on understanding geometric patterns and concepts by self-explorations. The course creates a vast reservoir of art-related examples and hands-on experiences, and will give an innovative mathematical background for future artistic endeavors of students.
    Course Fee $8
    GenEd: B3, UDIGE
  

  • MATH 331 - History of Mathematics

    Units: 3
    Three hours lecture per week
    Prerequisite: Junior Standing or Consent of Instructor
    Study of breakthrough mathematical ideas and their creators, including historical and scientific context. Important concepts of current mathematics are studied: inception, development, difficulties, significance and various viewpoints will be presented. Lecture-discussion. At least one significant writing assignment is required.
    GenEd: B3, D, UDIGE
  

  • MATH 345 - Digital Image Processing (Cross-listed as COMP 345, PHYS 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: COMP 345 , PHYS 345 
    GenEd: B1, B4, UDIGE
  

  • MATH 350 - Differential Equations and Dynamical Systems

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 250  (may be taken concurrently)
    Topics include: ordinary differential equations, existence and uniqueness of solutions. Linear equations. Laplace methods. Flows and diffeomorphisms, limit sets, iterations of maps. Positive entropy systems, chaotic behavior of trajectories.
  

  • MATH 351 - Real Analysis

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 240  and MATH 250 
    Topics include: real number system, metric spaces, norms, function spaces, continuity, differentiability, integrability of functions, sequences and series.
  

  • MATH 352 - Probability and Statistics

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 151 
    Topic include: data gathering, analysis and display. Validity of sampling methods and statistical conclusions. Probability, conditional probability, Bayes’ Theorem, discrete and continuous random variables and their distribution (e.g., binomial, Poisson, hypergeometric, negative binomial, normal, exponential, gamma), moments, bivariate distributions, transformations of random variables, central and other limit theorems. Bayesian estimates, tests of hypotheses, nonparametric tests, decision theory. Modern computer software applications in statistics.
  

  • MATH 354 - Analysis of Algorithms

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 300  and some computer programming experience
    Computer-oriented study of seminumerical and non-numerical algorithms. Topics include: sorting, tree searching, generation of combinatorial structures, algorithm proof techniques, best algorithms, programming complexity, and string matching.
    Course Fee $12
  

  • MATH 393 - Abstract Algebra I

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 240  or Consent of Instructor
    Groups, rings, and fields, the basic algebraic structures in contemporary mathematics.
  

  • MATH 399 - Modern Tools in Mathematics

    Units: 1
    Three hours laboratory per week
    Modern tools and software based problem solving in mathematics.  Available for multiple enrollment. Repeatable up to 10 units.
    Graded: Credit/No Credit
  

  • MATH 429 - Operations Research

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 329  or MATH 352  or Equivalent
    Introduction to applied mathematical methods in management sciences. Topics include: linear programming, managerial optimization methods, duality and equilibrium theorems, the simplex method, development of tools and methods required to make decisions and to solve operational problems in economy, decision and risk analysis, modeling and game theory. Topics of parametric programming, large-scale methods, generalized programming.
  

  • MATH 430 - Research Design and Data Analysis

    Units: 3
    Three hours laboratory per week
    Prerequisite: PSY 202 /MATH 202  with a grade of C or better or MATH 352 
    Discussion of experimental design, sampling methods, data collection, and methods of data analysis related to scientific fields.
    GenEd: A3, B3, UDIGE
  

  • MATH 437 - Mathematics for Games, Simulations, and Robotics

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 137  or MATH 300  or Consent of Instructor
    Covers the application of basic algebra, Newtonian physics, computational mechanics, linear algebra, probability, and differential equations to game development, simulations and robotics. Project based class wherein concepts are demonstrated by student teams using game engines, 3D graphics tools, and robots.
    Course Fee $40
    GenEd: B3, UDIGE
  

  • MATH 438 - Philosophy of Mathematics (Cross-listed as PHIL 438)

    Units: 3
    Three hours lecture per week
    Topics include: infinity, paradoxes, Goedel’s incompleteness theorems, whether mathematics is discovered or invented, why mathematical knowledge requires proof, whether mathematics is objective truth or social convention, and the identification of types of mathematical objects.
    Same as: PHIL 438
    GenEd: A3, B3, UDIGE
  

  • MATH 439 - Philosophy of Science (Cross-listed as PHIL 439, PHYS 439)

    Units: 3
    Three hours lecture per week
    Examines the philosophical assumptions, foundations, and implications of science and of scientific theories such as quantum physics, general relativity, and the theory of evolution. Asks what scientific knowledge reveals, how it is reached, and what role it plays in human life. The course also examines the roles that mathematics and the scientific method play in science and how these have affected its development.
    Same as: PHIL 439, PHYS 439
    GenEd: A3, UDIGE
  

  • MATH 445 - Image Analysis and Pattern Recognition (Cross-listed as PHYS 445, COMP 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 , COMP 445 
    GenEd: B1, B4, UDIGE
  

  • MATH 448 - Scientific Computing

    Units: 3
    Three hours lecture in the lab per week
    Prerequisite: MATH 151  and MATH 350  or COMP 151 
    Examines the challenges of programming computers to perform mathematical computations accurately and efficiently. Students learn how ideas from calculus are used to create algorithms to solve mathematical problems numerically.
    GenEd: B3, B4, UDIGE
  

  • MATH 450 - Partial Differential Equations and Mathematical Physics

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 350  or Consent of Instructor
    Topics include: vector field theory and Fourier analysis.
  

  • MATH 451 - Complex Analysis

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 240  and MATH 250 
    Topics include: complex variable, analytic functions, complex integration, power series and conformal mappings.
  

  • MATH 452 - Computational Bioinformatics (Cross-listed as COMP 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: COMP 452 
  

  • MATH 480 - Differential and Riemannian Geometry

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 351 
    Topics include: Implicit Function theorem. Differentials, Riemannian manifolds, curvature, local isometries, Gauss-Bonnet Theorem.
  

  • MATH 482 - Number Theory and Cryptography

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 300 
    Topics include: Divisibility, prime numbers, unique factorization theorem, congruences, solutions of linear congruences, solutions of quadratic congruences, Fermat’s Little Theorem, Wilson’s Theorem, and Euler’s phi function, Cryptography.
  

  • MATH 484 - Algebraic Geometry and Coding Theory

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 393 
    Study of algebraic varieties over algebraically closed fields. Modern application to coding theory.
  

  • MATH 490 - Topics in Modern Mathematics

    Units: 3
    Three hours lecture per week
    Prerequisite: Upper-division standing
    New developments in mathematics. Repeatable by topic up to 12 units.
  

  • MATH 492 - Internship

    Units: 1-3
    Prerequisite: Upper Division Standing and Program approval of written proposal
    Supervised work and study in educational, industrial or scientific setting involving development of degree related skills. All students are required to present their projects at the Senior Colloquium. Repeatable up to 12 units.
  

  • MATH 493 - Abstract Algebra II

    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 393 
    Field extensions, Galois theory, rings and modules, and further topics on groups, rings, and fields.
  

  • MATH 494 - Independent Research

    Units: 1-3
    Prerequisite: Senior standing and Program approval of written proposal
    Supervised project involving theoretical research in the field of mathematics or its applications. All students are required to present their projects at the Senior Colloquium. Repeatable up to 12 units.
  

  • MATH 497 - Directed Studies

    Units: 3
    Prerequisite: Program approval of written proposal
    Supervised project involving library research in the field of mathematics or its applications. All students are required to present their projects at the Senior Colloquium. Repeatable up to 12 units.
  

  • MATH 499 - Senior Colloquium

    Units: 1
    One hour of seminar per week
    Prerequisite: Senior standing
    Oral presentations of current advancement in the field, and reports on students’ projects. Repeatable up to 10 units.
  

  • MATH 510 - Advanced Image Analysis Techniques (Cross-listed as PHYS 510, COMP 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 , COMP 510 
  

  • MATH 511 - Functional Analysis

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: metric spaces, function spaces, normed vector spaces, linear operators. Banach spaces, Hilbert space, Spectral theory, and fundamental theorems in functional analysis. Applications in various fields including computer science, bioinformatics, and statistical analysis.
  

  • MATH 512 - Probabilistic Methods and Measure Theory

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the MS Mathematics Program or MS Computer Science Program
    Introduction to probabilistic methods. Topic include: sigma algebras, measures, integrals, Lebesgue measure, main convergence results and the change of variable results for integrals. Probabilistic methods in computational sciences are studied. Fall 2012 course number changed from MATH 510 to MATH 512.
  

  • MATH 513 - Advanced Algebra

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: Techniques of Group Theory, Rings Fields, Modules, Galois Theory, Algebraic Number Theory, Algebraic Geometry, Techniques of Linear Algebra, Noncommutative Algebra, and Homological Algebra.
  

  • MATH 546 - Pattern Recognition (Cross-listed as PHYS 546, COMP 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 , COMP 546 
  

  • MATH 554 - Algorithms (Cross-listed as COMP 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: COMP 554
  

  • MATH 555 - Actuarial Sciences

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    The course provides a sound grounding in the mathematical, statistical and financial concepts needed for actuarial work, including technical and communication skills. Topics include: probability, statistics, data analysis, mathematical modeling, risk analysis, pension plans, financial economics, and time series. Various software packages are used.
  

  • MATH 565 - Research in Mathematics Education

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Mathematical research methods in education. Current issues of college level curriculum including systems of geometry, algebra, precalculus, calculus, probability and statistics, linear algebra, differential equations, and discrete mathematics.
  

  • MATH 570 - Combinatorics

    Units: 3
    Three hours lecture per week
    Prerequisite: Graduate Standing or Permission of Instructor
    Study of arrangements, patterns, designs, assignments, schedules, connections, and configurations. Existence problems, counting methods and optimization issues. Applications include graphs, networks, experimental design, coding theory, and combinatorial optimization.
  

  • MATH 581 - Mathematical Methods in Artificial Intelligence (Cross-listed as COMP 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: COMP 581 
  

  • MATH 582 - Number Theory and Cryptography

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: Number theory, finite fields, polynomial rings, elliptic curves, public-key cryptography, zero-knowledge protocols, primality testing, factorization algorithms and applications.
  

  • MATH 584 - Algebraic Geometry and Coding Theory

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: Algebraic varieties over algebraically closed fields and finite fields, Hamming codes, cyclic codes, BCH codes, alternant codes, Goppa codes, and codes on graphs.
  

  • MATH 587 - Markov Chains and Markov Processes

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: Central Limit Theorem, Law of Large Numbers, Convergence Theorems, Markov Chains and Markov Processes. Applications in other fields, such as bioinformatics and computer science.
  

  • MATH 588 - Stochastic Analysis

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Topics include: Brownian motion, stochastic integrals, conditional expectation, Kolmogorv’s Theorem, applications of Lebesgue Dominated Convergence Theorem. Introduction to Stochastic Differential Equations will be given.
  

  • MATH 590 - Graduate Topics in Mathematics

    Units: 3
    Three hours lecture per week
    Prerequisite: Graduate Standing/ Undergraduate Seniors
    New developments in mathematics. Repeatable by topic up to 9 units.
  

  • MATH 594 - Independent Study

    Units: 1-3
    Two to six hours activity per week
    Faculty-supervised independent study in a specialized area of mathematics or applications of mathematics. A written proposal of the course of study must be approved by the MS Mathematics Director prior to registration. Repeatable up to 12 units.
  

  • MATH 597 - Master Thesis

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Supervised research in mathematical sciences or applications. Required to present research at Graduate Seminar. Repeatable up to 9 units.
  

  • MATH 598 - Master Project

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to the Computer Science or Mathematics Graduate Program
    Supervised industrial, educational or scientific project involving use of advanced mathematical methods. Required to present projects at the Graduate Seminar. Repeatable up to 9 units.
  

  • MATH 599 - Graduate Seminar

    Units: 1
    Three hours lecture per week
    Prerequisite: Graduate standing in MS Math or MS Computer Science, or Consent of Instructor
    Oral presentations of current work in mathematics by local and outside speakers; student thesis and project presentations. Repeatable up to 2 units.

Mathematics - Early Start
  

  • MATHES 04 - Early Start Basic Algebra Skills

    Units: No university credit
    One hour seminar per week
    This course is a one-day course with online laboratory assignments. Students will review and enhance their basic algebra skills. Puzzles and problems from arithmetic, geometry, and algebra are used to review high school math topics. This course is offered Credit/No Credit only, and passing credit satisfies 1 unit of the Early Start requirement. No credit will be applied toward the baccalaureate degree.
    Graded: Credit/No Credit
  

  • MATHES 05 - Early Start Intermediate Algebra Skills

    Units: No university credit
    One hour lecture per week
    This course is a one-day course with online laboratory assignments. Students will review and enhance their algebra skills. Puzzles and problems are used to strengthen students fundamental understanding of algebra. This course is offered Credit/No Credit only, and passing credit satisfies 1 unit of the Early Start Requirement. This course prepares students to retake the Entry Level Mathematics test, and potentially qualify to take college level mathematics. No credit will be applied toward the baccalaureate degree.
    Graded: Credit/No Credit

Management
  

  • MGT 307 - Management of Organizations

    Units: 3
    Three hours lecture per week
    Principles, methods and procedures planning, organizing, leading, and controlling people within organizations. Topics include the history of management thought, organizational culture and design, decision-making, managerial communication, and strategic management.
  

  • MGT 325 - Entrepreneurial Management

    Units: 3
    Three hours lecture per week
    Explores the management of start-up and small businesses. Concentrates on initial strategy, location, financing, staffing, daily activities, controls and taxes. Students develop a business plan for a small business.
  

  • MGT 326 - Scientific and Professional Ethics (Cross-listed as BIOL 326)

    Units: 3
    Three hours lecture per week
    Discussion of ethical issues and societal challenges derived from scientific research and professional activities. Examines the sources, fundamental principles, and applications of ethical behavior; the relationship between personal ethics and social responsibility of organizations; and the stakeholder management concept. Applies ethical principles to different types of organizations: business, non-profits, government, health care, science/ technology, and other professional groups.
    Same as: BIOL 326 
    GenEd: D
  

  • MGT 410 - Management of International Business

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307 
    Identification and analysis of management systems in cross-border environments. Explores the impact of economic, social, cultural, and political variables on the conduct of profit-making business. Extensive use of case analysis, and performance of a country study project. Formerly known as MGT 310, changed February 2009.
  

  • MGT 421 - Human Resource Management

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307 
    Examines principles, methods and procedures in the management of human resources. Topics include developing planning objectives for HR management, legal compliance, job analysis, recruiting, selection, training, compensation , and employee relations.
  

  • MGT 424 - Organizational Behavior (Cross-listed as PSY 424)

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307  or by Instructor Consent
    An application of behavioral science theory and concepts with a focus on individual, interpersonal and group processes in a diverse work force. Topics include personality traits, emotions, values, work attitudes, work motivation, organizational politics, group effectiveness and conflict. Extensive use of individual and group case analysis.
    Same as: PSY 424 
  

  • MGT 426 - Management of Healthcare Organizations

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307 
    Explores the principles of management of organizations and applies them to the unique environment of healthcare organizations. Topics include volatile environment, escalating costs, identification of stakeholders, organizational design, use of technology, quality control, and special issues in healthcare management (bio-ethics, chemical dependency, stress, workforce diversity).
  

  • MGT 429 - Program Management

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307 
    Examines principles, methods, and procedures in the management of programs in public organizations. Topics include government acquisition policies, strategies, plans, and procedures, risk management, program planning, scheduling, managing, and monitoring, cost and performance evaluation, and program policy development and implementation.
  

  • MGT 471 - Project Management

    Units: 3
    Three hours lecture per week
    Prerequisite: MGT 307 
    Presents the principles of project management, which is a special form of work organization, which focuses on a one-time objective. Discusses all aspects of project management: definition of objectives, selection of team and other resources, establishing of timing and sequences, creation of monitoring and control processes, and development of analysis and reporting mechanisms.
  

  • MGT 490 - Special Topics

    Units: 3
    Three hours seminar per week
    Prerequisite: Consent of Instructor
    In-depth analysis of current topics in management. Topics vary each semester. Repeatable by topic up to 9 units.
  

  • MGT 492 - Service Learning/Internship

    Units: 1-3
    Six hours per week
    Prerequisite: Consent of Instructor
    Individual internship through service learning. Repeatable up to 9 units.
    Graded: Credit/No Credit
  

  • MGT 497 - Directed Study

    Units: 1-3
    Variable activity hours 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

Management Information Systems
  

  • MIS 310 - Management Information Systems

    Units: 3
    Three hours lecture per week
    Prerequisite: COMP 101  or Equivalent
    Examines application of computer-based information systems to the management of organizations. Topics include use of information to further the organization’s mission and strategy, the role of users, the architecture of information, and development of decision-support processes for managers.
  

  • MIS 490 - Special Topics

    Units: 3
    Three hours per week
    In-depth analysis of current topics in computer information systems. Topics vary each semester. Repeatable by topic up to 9 units.
  

  • MIS 492 - Service Learning/Internship

    Units: 3
    Six hours activity per week
    Prerequisite: Consent of Instructor
    Individual internship through service learning assignments related to information systems projects.
    Graded: Credit/No Credit
  

  • MIS 497 - Directed Study

    Units: 1-3
    Variable hours per week
    Prerequisite: Consent of Instructor
    Individual study of topics or research selected by the student and faculty mentor. Repeatable for up to 9 units.
    Graded: Credit/No Credit

Marketing
  

  • MKT 310 - Principles of Marketing

    Units: 3
    Three hours lecture per week
    Presents and analyzes the fundamental principles, methods and procedures in modern marketing: planning, pricing, distribution, and promotion. Topics include creating customer value and satisfaction, strategic planning, marketing process and environment, research and information systems, consumer markets and consumer buyer behavior, business markets and business buyer behavior, segmentation, product and services strategy, new-product development and product life cycle strategies, pricing, communications, direct and on-line marketing, and social responsibility and marketing ethics.
  

  • MKT 311 - Consumer Behavior

    Units: 3
    Three hours lecture per week
    Prerequisite: MKT 310 
    A comprehensive study of behavioral models and concepts designed to help understand, evaluate, and predict consumer behavior. Stresses analytical thinking about consumer psychology and prediction of how marketing tactics may influence demand for products and services.
  

  • MKT 409 - Marketing Research

    Units: 3
    Three hours lecture per week
    Prerequisite: MKT 310 
    Fundamentals of marketing research including design, implementation, analysis, interpretation, and reporting. Develop skills in defining research problems, designing surveys, experiments and observational studies, managing data collection, performing data analysis, and communicating results. Emphasis is on the use of marketing research as a component of marketing strategy (making extensive use of statistical techniques).
  

  • MKT 410 - International Marketing Management

    Units: 3
    Three hours seminar per week
    Prerequisite: MKT 310 
    Focuses on developing an environmental/cultural approach to global marketing. Topics covered include: cultural and social forces, political and regulatory climate, global buyer behavior, and global marketing strategies. Cases, research, and marketing plans are used to apply marketing concepts to global opportunities and environments.
  

  • MKT 411 - New Product Development and Management

    Units: 3
    Three hours seminar per week
    Prerequisite: MKT 310 
    Develops the managerial skills and perspectives that contribute to innovative and entrepreneurial new product development and management. Topics include analysis of consumer needs, market analysis, paradigmatic limits to thinking, new product design and development, creativity, innovation, forecasting, resource requirements, product liability issues, and managing new ventures.
  

  • MKT 490 - Special Topics

    Units: 3
    Three hours seminar per week
    Prerequisite: Consent of Instructor
    In-depth analysis of current topics in marketing. Topics vary each semester. Repeatable by topic up to 6 units.
  

  • MKT 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

Nursing
  

  • NRS 200 - Introduction to Professional Nursing Practice

    Units: 3
    Three hours lecture per week
    Prerequisite: Admission to clinical nursing program
    Corequisite: NRS 201 . Theory is exercised in Corequisite courses.
    Provides the entry level nursing student with an overview of the art and science of nursing, including the philosophy, organizing theory, and desired outcomes of the nursing program. Introduces the core concepts, principles, basic assessment and clinical skills common to all areas and levels of nursing practice. Familiarizes the student with the components and use of the nursing process and presents the delivery of nursing care based on the Neuman Systems Model. Describes the dimensions of the professional role as provider of care, teacher, advocate, coordinator of care, and member of the profession.
  

  • NRS 201 - Introduction to Professional Nursing Practice Lab

    Units: 3
    Nine hours lab per week
    Prerequisite: Admission to clinical nursing program
    Corequisite: NRS 200 
    Provides the opportunity for the student to practice assessment skills and apply basic therapeutic nursing interventions in the clinical setting within the context of the Neuman System Model and QSEN Quality and Safety Education for Nurses. Includes experiences in long-term health settings with the geriatric population as well as simulated experiences in the on-campus nursing simulation laboratory. Lab is required.
    Graded: Credit/No Credit
  

  • NRS 203 - Therapeutic Nursing Communication Laboratory

    Units: 0.5
    One and one half hours laboratory per week
    Prerequisite: Admission to the clinical nursing program or instructor consent
    Corequisite: NRS 200  and NRS 201 
    Intensive clinical laboratory in which interpersonal and group therapeutic communication skills are developed. Designed to prepare students to use therapeutic communication skills while functioning in individual nurse-client relationships and in leadership or education roles occurring in group settings involving other professionals, clients, families, and communities.
  

  • NRS 204 - Pharmacology of Nursing Practice I

    Units: 1.5
    One hour lecture and 1.5 hours laboratory per week
    Prerequisite: Admission to the clinical nursing program or instructor consent
    Corequisite: NRS 200  and NRS 203 
    Basic principles of pharmacology with a focus on pharmacokinetics, pharmacodynamics, and related therapeutic implications with identification of drug classifications. Content on CNS drugs for pain. Principles and procedures of medication administration covered in laboratory setting.
     
  

  • NRS 220 - Nursing Care of Adults with Acute and Chronic Illness I

    Units: 3
    Three hours lecture per week
    Prerequisite: NRS 200 , NRS 201 , NRS 203 , and NRS 204 
    Corequisite: NRS 221 
    Presents principles of nursing care for adult individuals experiencing chronic health care problems from mild to moderate of the integumentary, sensory, endocrine, cardiac, and respiratory systems in addition to care of the peri-operative and end of life client. Uses Neuman Systems Model and Quality and Safety in Nursing Education (QSEN) to guide nursing practice and achieve desired therapeutic outcomes.
  

  • NRS 221 - Nursing Care of Adults with Acute and Chronic Illness Lab I

    Units: 3
    Nine hours laboratory per week
    Prerequisite: NRS 200 , NRS 201 , NRS 203 , NRS 204 , and NRS 306 
    Corequisite: NRS 220 
    Provides the opportunity to apply nursing theory and concepts to the delivery of health care to adult medical-surgical clients in an acute care clinical setting. Nursing care is provided through the use of the nursing process and the Neuman Systems Model and QSEN Quality Safety Education in Nursing standards. Emphasizes the professional role of the nurse in managing clients under stress with disorders of the integumentary, sensory, endocrine, cardiac, and respiratory systems in addition to perioperative and clients at the end of life clients.
    Graded: Credit/No Credit
  

  • NRS 222 - Nursing Care of Adults with Acute and Chronic Illness II

    Units: 4
    Four hours lecture per week
    Prerequisite: NRS 220  and NRS 221  
    Corequisite: NRS 223  
    Continues the study of principles of nursing care delivery for individuals and families experiencing medical-surgical health care problems involving disorders of the hematological, renal and genitourinary, gastrointestinal, musculoskeletal and neurological body systems and those with and oncological conditions. Uses the Neuman Systems Model, the nursing process, and Quality and Safety in Nursing Education (QSEN) as the foundation for standard therapeutic interventions for individual in stress.
 

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