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Information Technology |
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IT 429 - Computer Networks (Cross-listed as COMP 429) Units: 3 Two hours lecture and three hours lab per week Prerequisite: COMP 232 and COMP 362 or COMP 221 and COMP 421 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. Same as: COMP 429
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IT 464 - Computer Graphic Systems and Design I (Cross-listed as COMP 464) Units: 3 Two hours lecture and three hours lab per week Prerequisite: COMP 350 and MATH 240 or COMP 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. Same as: COMP 464
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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.
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IT 491 - Capstone Preparation Units: 1 Two hours activity per week Prerequisite: COMP 362 and Senior Standing in the Information Technology Program Research and develop a proposal for a significant capstone project under faculty supervision.
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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.
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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.
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Library |
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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 |
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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 |
Liberal Studies |
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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. Same as: COMP 110 GenEd: B4 |
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LS 494 - Independent Research Units: 1-3 Prerequisite: Upper-division standing Students design and implement a study project in conjunction with a faculty member. Repeatable.
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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. Repeatable.
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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.
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Mathematics |
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MATH 4 - Early Start Basic Algebra Skills Units: 1 One hour seminar per week Building intermediate algebraic skills. A review of fundamental concepts of algebra. This course is offered Credit/ No Credit only. Credit will satisfy 1 unit of the Early Start Requirement. No Credit will not apply toward the baccalaureate degree. Students may retake Entry Level Mathematics (ELM) to obtain a passing score to move to college level mathematics courses. Graded: Credit/No Credit
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MATH 5 - Early Start Intermediate Algebra Skills Units: 1 One hour lecture per week A review of fundamental concepts of intermediate algebra. Problem solving using graphs and linear and quadratic equations. Credit for this course will satisfy the Early Start Requirement. Credit will not apply toward the baccalaureate degree. Students may retake Entry Level Mathematics (ELM) to obtain a passing score to move to college level mathematics courses. Graded: Credit/No Credit
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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
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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
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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.
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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 |
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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 |
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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. GenEd: B3 |
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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 |
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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 |
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MATH 151 - Calculus II Units: 4 Four hours lecture per week Prerequisite: MATH 150 . Topics include: differentiation, integration, sequences, infinite series, and power series.
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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 |
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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 |
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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. GenEd: B3 |
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MATH 230 - Logic and Mathematical Reasoning 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. GenEd: A3, B3 |
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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.
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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.
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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.
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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.
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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.
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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.
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MATH 329 - Applied Statistics for Business and Economics Units: 3 Three hours lecture in the lab per week Prerequisite: MATH 101 or MATH 105 Introduction to modern statistical methods used in business and economic analysis. Topics include: sampling, probability, various distributions, correlation and regression, statistical inferences, hypothesis testing, problem solving and the consequences to underlying economical systems. GenEd: B3 |
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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. GenEd: B3, UDIGE |
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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 |
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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 |
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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.
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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.
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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.
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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.
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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.
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MATH 399 - Modern Tools in Mathematics Units: 1 Three hours laboratory per week Modern tools and software based problem solving in mathematics. Repeatable and available for multiple enrollment. Graded: Credit/No Credit
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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.
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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 |
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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. GenEd: B3, UDIGE |
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MATH 438 - Philosophy of Mathematics 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. GenEd: A3, B3, UDIGE |
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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 |
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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 |
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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.
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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.
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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
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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.
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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.
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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.
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MATH 490 - Topics in Modern Mathematics Units: 3 Three hours lecture per week Prerequisite: Upper-division standing New developments in mathematics. Repeatable by topic.
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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.
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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.
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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
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MATH 554 - Algorithims (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
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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.
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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.
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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.
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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
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Management |
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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.
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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.
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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 |
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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.
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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.
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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
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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).
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MGT 428 - Contract Management Units: 3 Three hours lecture per week Prerequisite: MGT 307 Explores the study of procurement planning, negotiation, and contract administration, including the determination of need, basic contract law, methods of procurement and fundamentals of management techniques. Topics include procurement organizations, acquisition planning, source selection, pricing, types of contracts, negotiating techniques, structuring incentives, the terms and conditions of contracts, and managing contract progress.
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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.
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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.
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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.
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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
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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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Management Information Systems |
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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.
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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.
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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
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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
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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.
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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.
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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).
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