May 18, 2024  
2015-2016 Catalog 
    
2015-2016 Catalog [ARCHIVED CATALOG]

Course Descriptions



 

 

Information Technology

  
  • IT 490 - Special Topics for IT


    Units: 3
    Three hours of lecture per week
    Prerequisite: Senior standing in the BSIT program
    The course addresses current issues in Information Technology. Specialized topics will be studied. Repeatable by topic up to 9 units.
  
  • IT 491 - Capstone Preparation


    Units: 1
    Two hours activity per week
    Prerequisite: COMP 362   or IT 421  and Senior Standing in the Information Technology Program
    Research and develop a proposal for a significant capstone project under faculty supervision. Repeatable up to 3 units.
  
  • IT 492 - Internship


    Units: 1-3
    Two to six hours activity per week
    Prerequisite: Upper-division standing and Program approval of written proposal
    Supervised work and study in an industrial or scientific setting involving development of degree-related skills.
  
  • IT 494 - Independent Research


    Units: 1-3
    Variable hours activity per week
    Prerequisite: Upper Division Standing and Program Approval of Written Proposal
    Supervised project involving research in Information Technology. Repeatable by topic up to 9 units.
  
  • IT 497 - Directed Studies


    Units: 3
    Six hours activity per week
    Prerequisite: Program approval of written proposal
    Supervised project involving library research in the field of Information Technology or its applications.
  
  • IT 499 - Capstone Project


    Units: 3
    Three hours independent study per week
    Prerequisite: IT 491 
    Design, implement and present a significant capstone project under faculty supervision.

Library

  
  • LIB 211 - Discerning Information in an Interconnected World (Cross-listed as COMM 211)


    Units: 3
    Three hours lecture per week
    Provide students with strategies to help them make sense of our information-saturated world. Students should critically assess information, differentiate the perspectives of information seekers from providers and evaluate our sources of knowledge through issues such as surveillance, surrogates, privacy, information seeking behavior, information control, intellectual property, digital democracy, and emerging information communication technologies.
    Graded: Student Option - Graded or Credit/No Credit.
    Same as: COMM 211 
    GenEd: A3, D

  
  • LIB 344 - The Library: Collections, Services & Instruction (Cross-listed as BUS 344, ECON 344, EDUC 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 , ECON 344 , EDUC 344 
    GenEd: D, UDIGE

  
  • LIB 497 - Faculty-Student Collaborative Research


    Units: 3
    3 hours research per week
    Prerequisite: Program approval will be required to substitute this course as an elective in a major.
    A research intensive class during which students will craft an original scholarly or creative work employing unique collections housed at the John Spoor Broome Library relevant collections at other institutions may also be utilized. All students are required to attend and/or present their research at the Sage Research Symposium or similar conference. Graded credit/no credit. Repeatable up to 9 units
    Graded: CR/NC

Liberal Studies

  
  • LS 110 - Computer Literacy for Educators (Cross-listed as COMP 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: COMP 110 
    GenEd: B4

  
  • LS 200 - Juvenile Justice System Service Learning


    Units: 2
    One hour seminar and two hours activity per week
    Prerequisite: Consent of Instructor Required for Enrollment
    Provide tutoring and mentoring for juvenile justice students in study skills and fundamental social and critical thinking skills required to be a successful college student. Repeatable up to 12 units.
    Graded: Credit/No Credit
  
  • LS 300 - Liberal Studies Service-Learning


    Units: 3
    Two hours seminar and two hours activity per week
    Prerequisite: Junior standing; Concentrated Studies majors only.  Consent of Instructor required for enrollment
    A service-learning course designed to broaden involvement in community projects, engage in critical reflection, build social networks with other Concentrated Studies students, and develop written and verbal communication skills.
    Graded: Graded
  
  • LS 490 - Capstone Course


    Units: 3
    Three hours lecture per week
    Prerequisite: Senior Standing
    Faculty-designed course that integrates prior course work and disseminates the final course project to the campus community.
  
  • LS 494 - Independent Research


    Units: 1-3
    Prerequisite: Upper-division standing
    Students design and implement a study project in conjunction with a faculty member.  Three repeats allowed. Repeatable up to 9 units.
  
  • LS 497 - Directed Studies


    Units: 1-3
    Prerequisite: Upper-division standing
    Provides student credit for curricular activities under the direction of a Liberal Studies faculty member.  Three repeats allowed. Repeatable up to 9 units.
  
  • 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
    Graded: Graded
    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
    Graded: Graded
    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.
    Graded: GRD
  
  • 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 the 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
    Graded: Graded
  
  • 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
    Graded: Graded
  
  • 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
    Graded: Graded
    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 semi-numerical 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
    Graded: Graded
  
  • 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 398 - Advanced Research Investigations


    Units: 3
    Three hours seminar per week
    Prerequisite: Consent of Instructor required for enrollment
    Students will explore an interdisciplinary mathematical, statistical, or computational research question in independent groups. With faculty mentoring, students develop their own research plans drawing on multiple disciplines and the multiple approaches to research. Students will disseminate results through a research paper and presentations on campus. In addition, students will be encouraged to identify and apply to relevant summer research programs, internships, and scholarships. Repeatable up to 6 units
    Graded: Graded
    GenEd: A3, B3

  
  • 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 408 - Advanced Data Analysis


    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 398  
    Introduction to data management and analytics. Bayesian methods, multivariate data, multivariate normal distribution, multivariate regression, principal components, factor, canonical correlation, discriminant analyses, and clustering. Extensive use of appropriate statistical and programming software. Course will be taught in a computer lab.
    Graded: Graded
  
  • MATH 428 - Actuarial Mathematics


    Units: 3
    Three hours lecture per week
    Prerequisite: MATH 140   or MATH 150 ; and one of the following statistics courses: MATH 201  or MATH 202  or MATH 329  or MATH 352  
    Foundations of actuarial mathematics. Topics include the interest and mortality discount function and its role in the analysis of life annuities and life insurance annuities and insurance funds survival distributions and failure times risk theory, compound distributions and Poisson processes. Analysis of real insurance problems using statistical software.
    Graded: Graded
  
  • 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
    Graded: Graded
    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 - Professional Ethics


    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.
    Graded: Graded
  
  • 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 MGT 310)
  
  • 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
 

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