2021-2022 Catalog [ARCHIVED CATALOG]
Course Descriptions
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Mathematics |
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MATH 202 - Biostatistics (Cross-listed as PSY 202)
Units: 3
Three hours lecture per week
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: B4
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MATH 207 - Early Childhood Mathematics
Units: 3
Three hours lecture per week
Prerequisite(s): ECS 150 /PSY 150 (before or concurrently)
Current concepts of early mathematics curriculum including early learning standards for mathematics in early childhood education. This course provides a link between teachers’ mathematical knowledge and understanding of the major skills, concepts, and competencies learned through the social experiences of young children. Analysis of math activities in early childhood settings that help children develop mathematical awareness. Focus on the mathematical environment and curriculum that infuse young children’s interests, language and cultural background, diverse abilities, and family interactions. Repeatable up to 9 units.
Graded: Letter Grade
GenEd: B4
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MATH 208 - Modern Mathematics for Elementary Teaching I: Numbers and Problem-Solving
Units: 3
Three hours lecture per week
Current issues of modern mathematics 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 grades K-8. This course is not open to students who have credit for Calculus.
Course Fee $16
Graded: Letter Grade
GenEd: B4
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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 and number sets, relations, prepositional logic, common language cases, and theory of quantification.
Same as: PHIL 230
GenEd: A3, B4
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MATH 240 - Linear Algebra
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): 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(s): Any GE Area A3 (Critical Thinking) course.
Description: 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: Letter Grade
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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 - Foundational Geometry, Probability, and Statistics
Units: 3
Three hours lecture per week
Prerequisite(s): Junior standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
Content covers foundational geometry and geometric interpretation of real numbers, geometric constructions, mathematical modeling, basic probability and statistics. Includes problem-solving strategies and addresses learning issues. Students study state-approved eductional mathematics standards and carry out a service-learning project working with young mathematics learners in school settings. Reflections on learning processes, implementation, and educational challenges.
Course Fee $16
Graded: Letter Grade
GenEd: UDGE-B
CI Mission Category(s): Community Engagement
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MATH 310 - Transition to Higher Mathematics
Units: 3
Three hours lecture per week
Prerequisite(s): MATH 151 and MATH 230
Introduction to topics essential to study of higher mathematics. These include propositional logic, techniques of mathematical proof, and fundamental mathematical structures, including sets, relations, functions, cardinality, and other topics as time permits. Course emphasizes writing and revision of proofs.
Graded: Letter Grade
Graduation Requirement(s): GWAR with C- or better
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MATH 318 - Mathematics For Secondary School Teachers
Units: 3
Three hours lecture in the computer lab per week
Prerequisite(s): 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: Letter Grade
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MATH 329 - Applied Statistics for Business and Economics
Units: 3
Three hours lecture in the lab per week
Prerequisite(s): MATH 101 or MATH 104 or MATH 105 and Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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MATH 330 - Mathematics and Fine Arts
Units: 3
Three hours lecture in the lab per week
Prerequisite(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
Specially designed for students interested in fine arts, with the emphasis on understanding geometric patterns and concepts by self-explorations. 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: Letter Grade
GenEd: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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MATH 331 - History of Mathematics
Units: 3
Three hours lecture per week
Prerequisite(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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. At least one significant writing assignment is required.
Graded: Letter Grade
GenEd: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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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(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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MATH 350 - Differential Equations and Dynamical Systems
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): MATH 240 and MATH 250 and MATH 310
Topics include: real number system, metric spaces, norms, function spaces, continuity, differentiability, integrability of functions, sequences and series.
Graded: Letter Grade
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MATH 352 - Probability and Statistics
Units: 3
Three hours lecture per week
Prerequisite(s): 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 (Cross-listed as COMP 354)
Units: 3
Three hours lecture per week
Prerequisite(s): MATH 300
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. Some computer programming experience required.
Course Fee $12
Graded: Letter Grade
Same as: COMP 354
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MATH 390 - Junior Seminar
Units: 1
One hour seminar per week
Prerequisite(s): Junior Standing
Corequisite(s): None
Introductory topics related to mathematics profession. Presentations on possible areas for projects, internships, and research experiences for undergraduates. Analysis of pure mathematics, mathematics education, applied mathematics, and statistics as subfields of mathematical sciences.
Graded: Letter Grade
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MATH 393 - Abstract Algebra I
Units: 3
Three hours lecture per week
Prerequisite(s): MATH 240 and MATH 310
Groups, rings, and fields, the basic algebraic structures in contemporary mathematics.
Graded: Letter Grade
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MATH 398 - Advanced Research Investigations
Units: 3
Three hours lecture per week
Prerequisite(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4) and Consent of Instructor
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.
Graded: Letter Grade
GenEd: UDGE-B
CI Mission Category(s): Community Engagement
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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. Available for multiple enrollment. Repeatable up to 10 units.
Graded: Credit/No Credit
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MATH 408 - Advanced Data Analysis
Units: 3
Three hours lecture per week
Prerequisite(s): 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: Letter Grade
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MATH 428 - Actuarial Mathematics
Units: 3
Three hours lecture per week
Prerequisite(s): MATH 140 or MATH 150 ; and MATH 200 or MATH 201 or MATH 202 /PSY 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: Letter Grade
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MATH 429 - Operations Research
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): MATH 200 or MATH 202 /PSY 202 with a grade of C or better; or MATH 352 ; and Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
Discussion of experimental design, sampling methods, data collection, and methods of data analysis related to scientific fields.
GenEd: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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MATH 437 - Mathematics for Games, Simulations, and Robotics
Units: 3
Three hours lecture per week
Prerequisite(s): 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 course wherein concepts are demonstrated by student teams using game engines, 3D graphics tools, and robots.
Course Fee $40
Graded: Letter Grade
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MATH 438 - Philosophy of Mathematics (Cross-listed as PHIL 438)
Units: 3
Three hours lecture per week
Prerequisite(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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: UDGE-B, UDGE-C
CI Mission Category(s): Interdisciplinary Approaches
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MATH 439 - Philosophy of Science (Cross-listed as PHIL 439, PHYS 439)
Units: 3
Three hours lecture per week
Prerequisite(s): Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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: UDGE-B, UDGE-C
CI Mission Category(s): Interdisciplinary Approaches
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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(s): PHYS 345 /COMP 345 /MATH 345 or Consent of Instructor
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
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MATH 448 - Scientific Computing
Units: 3
Three hours lecture in the lab per week
Prerequisite(s): MATH 151 ; COMP 151 or MATH 350 and Junior Standing and successful completion of Golden Four GE Areas (A1, A2, A3, B4)
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: UDGE-B
CI Mission Category(s): Interdisciplinary Approaches
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MATH 450 - Partial Differential Equations and Mathematical Physics
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): 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(s): MATH 201 or MATH 202 /PSY 202 or MATH 300 or MATH 352
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, and genetic algorithms. Some computer programming experience is required.
Graded: Letter Grade
Same as: COMP 452
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MATH 453 - Mathematical Statistics
Units: 3
Three hours lecture per week
Prerequisite(s): MATH 201 or MATH 202 /PSY 202 or MATH 300 or MATH 352
Sampling distributions, estimation, bias, confidence intervals, efficiency, consistency, sufficiency, Cramer-Rao bound, maximum likelihood, hypothesis testing, Neyman-Pearson Lemma, linear models, regression, experiment design, ANOVA, analysis of categorical data, nonparametric methods, and Bayesian estimation. Application of statistical theory in the laboratory using modern computer software.
Graded: Letter Grade
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MATH 480 - Differential and Riemannian Geometry
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): MATH 300 or MATH 301
Description: 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.
Graded: Letter Grade
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MATH 484 - Algebraic Geometry and Coding Theory
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): Upper-division standing
New developments in mathematics. Repeatable by topic up to 12 units.
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MATH 492 - Internship
Units: 1-3
Prerequisite(s): 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.
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MATH 493 - Abstract Algebra II
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): 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.
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MATH 497 - Directed Studies
Units: 3
Prerequisite(s): 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.
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MATH 499 - Senior Colloquium
Units: 1
One hour seminar per week
Prerequisite(s): Senior Standing
Description: Oral presentations of current advancement in the field, and reports on students’ projects. Repeat 12 times up to 12 units
Graded: Letter Grade
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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(s): 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(s): 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(s): 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(s): 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(s): 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 - Algorithms (Cross-listed as COMP 554)
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): 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(s): 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(s): 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 582 - Number Theory and Cryptography
Units: 3
Three hours lecture per week
Prerequisite(s): 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(s): 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(s): 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(s): 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(s): 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(s): 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(s): 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(s): 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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MATHES 90 - Basic Algebra in Action
Units: 1
One hour lecture per week
Corequisite(s): MATH 190
Review of basic algebra. Includes problem-solving and learning activities. For students needing to fulfill the Early Start Math requirement, and is supported by corequisite course MATH 190. Repeat 2 times up to 2 units
Graded: Crd/No Crd
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Mathematics - Early Start |
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MATHES 4 - Early Start Basic Algebra Skills
Units: 1
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.
Graded: Early Start Program - Math
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MATHES 5 - Early Start Intermediate Algebra Skills
Units: 1
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.
Graded: Early Start Program - Math
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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.
Graded: Letter Grade
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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.
Graded: Letter Grade
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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: Letter Grade
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MGT 410 - Management Of International Business
Units: 3
Three hours lecture per week
Prerequisite(s): MGT 307
Description: 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.
Graded: Letter Grade
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MGT 421 - Human Resource Management
Units: 3
Three hours lecture per week
Prerequisite(s): MGT 307 or BUS 333 /COMM 333 /POLS 333 or COMM 442
Examines principles, methods, and procedures in the management of human resources (HR). Topics include developing planning objectives for HR management, legal compliance, job analysis, recruiting, selection, training, compensation, and employee relations.
Graded: Letter Grade
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MGT 424 - Organizational Behavior (Cross-listed as PSY 424)
Units: 3
Three hours lecture per week
Prerequisite(s): MGT 307 or BUS 333 / COMM 333 / POLS 333 or COMM 442
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.
Graded: Letter Grade
Same as: PSY 424
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MGT 431 - Digital Advertising (Cross-listed as MKT 431)
Units: 3
Three hours seminar per week
Prerequisite(s): Junior or Senior Standing
Presents and analyzes contemporary digital advertising with a strong emphasis on programmatic advertising, which is the automated buying and selling of digital advertising spots. Topics include the history of digital advertising, how the programmatic advertising industry works, the roles it plays in society, privacy concerns that arise with it, why it is disruptive to current advertising practices, the economic principles driving its success, the technology that makes it possible, and the basics of managing a programmatic advertising campaign.
Graded: Letter Grade
Same as: MKT 431
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MGT 471 - Project Management
Units: 3
Three hours lecture per week
Prerequisite(s): MGT 307
Description: 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.
Graded: Letter Grade
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MGT 490 - Special Topics
Units: 3
Three hours lecture per week
Prerequisite(s): Consent of Instructor
Description: In-depth analysis of current topics in management. Topics vary each semester. Repeatable up to 9 units.
Graded: Letter Grade
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MGT 492 - Service Learning/Internship
Units: 1 - 3
Six hours per week
Prerequisite(s): Consent of the Instructor
Description: Individual internship through service learning. Repeat 9 times up to 9 units.
Graded: Letter Grade
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MGT 497 - Directed Study
Units: 1 - 3
Variable activity hours per week
Prerequisite(s): Consent of Instructor
Description: Individual contracted study on topics or research selected by the student and faculty mentor. Repeat 9 times 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(s): COMP 101 or equivalent
Description: 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.
Graded: Letter Grade
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MIS 320 - Business Data Analytics and Visualization
Units: 3
Three hours lecture per week
Provides an overview of data analytics concepts, principles, procedures, techniques, technologies, and applications for business data gathering, storing, processing, manipulating, and interpreting. The course addresses and demonstrates the associated statistical approaches and data mining techniques that arise in the area. Students will learn key procedures and techniques of data analytics and data visualization.
Graded: Letter Grade
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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. Repeat 9 times up to 9 units.
Graded: Letter Grade
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MIS 492 - Service Learning/Internship
Units: 3
Six hours activity per week
Prerequisite(s): Consent of the instructor
Description: 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(s): 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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Marketing |
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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.
Graded: Letter Grade
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MKT 311 - Consumer Behavior
Units: 3
Three hours lecture per week
Prerequisite(s): MKT 310
Description: 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.
Graded: Letter Grade
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MKT 317 - Services Marketing
Units: 3
Three hours lecture per week
Prerequisite(s): MKT 310
Service organizations (e.g., hotels, banks, educational institutions, hospitals, professional services) require a distinctive approach in the development and implementation of their marketing strategies. Specific topics will include why people are central to service success, why expectations are important to service consumers, how the physical environment influences service delivery, and how service firms might recover from failure.
Graded: Letter Grade
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MKT 320 - Marketing Strategy
Units: 3
Three hours lecture per week
Prerequisite(s): MKT 310 , or concurrent enrollment is permitted
Includes strategic analysis of a firm’s activities from the marketer’s point of view. Gives attention to marketing strategy formulation, implementation and control. Assesses strategies for the functional areas of marketing (product, pricing, distribution and promotion) and their relevant application to e-commerce.
Graded: Letter Grade
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MKT 409 - Marketing Research
Units: 3
Three hours lecture per week
Prerequisite(s): MKT 310 and one of the following: MATH 329 , MATH 352 , and POLS 310 or SOC 325
Description: 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).
Graded: Letter Grade
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MKT 410 - International Marketing Management
Units: 3
Three hours seminar per week
Prerequisite(s): 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.
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MKT 411 - New Product Development and Management
Units: 3
Three hours seminar per week
Prerequisite(s): 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.
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MKT 415 - Brand Management
Units: 3
Three hours lecture per week
Prerequisite(s): MKT 310
Defines, develops, and applies tactics and strategies in brand management through a systematic model and process. Focuses on the concept of brand equity and its creation and growth through brand positioning, marketing programs, measurement of brand performance and strategies to sustain and build over time.
Graded: Letter Grade
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MKT 431 - Digital Advertising (Cross-listed as MGT 431)
Units: 3
Three hours seminar per week
Prerequisite(s): Junior or Senior Standing
Presents and analyzes contemporary digital advertising with a strong emphasis on programmatic advertising, which is the automated buying and selling of digital advertising spots. Topics include the history of digital advertising, how the programmatic advertising industry works, the roles it plays in society, privacy concerns that arise with it, why it is disruptive to current advertising practices, the economic principles driving its success, the technology that makes it possible, and the basics of managing a programmatic advertising campaign.
Graded: Letter Grade
Same as: MGT 431
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MKT 442 - Psychology of Judgment and Decision-Making (Cross-listed as PSY 442)
Units: 3
Three hours lecture per week
Prerequisite(s): PSY 100
Examines the processes that underlie how decisions are made, and examines why the judgments people make are sometimes irrational, biased, or just plain wrong. Covers a broad range of topics including: normative decision theory, heuristics and biases, memory, emotion, game theory, motivation, morality, and improving decision-making. Makes connections between psychological approaches to decision-making and those adopted in business and economics, health and medicine, and law and public policy.
Graded: Letter Grade
Same as: PSY 442
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MKT 490 - Special Topics
Units: 3
Three hours seminar per week
Prerequisite(s): Consent of Instructor
In-depth analysis of current topics in marketing. Topics vary each semester. Repeatable by topic up to 6 units.
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MKT 497 - Directed Study
Units: 1-3
Variable hours activity per week
Prerequisite(s): 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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Mechatronics Engineering |
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EMEC 200 - Logic Circuits
Units: 4
Three hours lecture and three hours lab per week
Prerequisite(s): MATH 150 and COMP 162
Basics of digital, electronic devices and methodologies used in digital, circuit design. Design, analysis, and trouble-shooting of logic gates, counters, registers, memory units, pulse and switching circuits, and control circuits. Comparison of digital TTL integrated circuits with other families of logic devices. Includes student projects.
Lab Fee $30
Graded: Letter Grade
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EMEC 221 - Engineering Materials (Cross-listed as PHYS 221)
Units: 3
Two hours lecture and three hours lab per week
Prerequisite(s): PHYS 200 , CHEM 105 or CHEM 121 or equivalent courses
Description: Examines the interrelationships between processing, structure, properties, and performance of various engineering materials such as metals, polymers, ceramics, composites, and semiconductors. Studies the effects of heat, stress, imperfections, and chemical environments upon material properties and performance. Emphasizes developing an ability to select appropriate materials to meet engineering design criteria.
Graded: Letter Grade
Same as: PHYS 221
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EMEC 230 - Statics
Units: 3
Three hours of lecture per week
Prerequisite(s): MATH 151 and PHYS 200
A first course in engineering mechanics. Covers analysis of two- and three-dimensional force systems acting on engineering structures in equilibrium. Properties of forces, moments, couples, and resultants. Topics include distributed forces, shear and bending moment diagrams, center of gravity, centroids, friction, and area and mass moments of inertia. Introduces the application of mathematical modeling and problem-solving to identify, formulate, and solve engineering problems.
Graded: Letter Grade
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EMEC 231 - Dynamics
Units: 3
Three hours lecture per week
Prerequisite(s): EMEC 230
Introduction of fundamentals of kinematics and kinetics of particles and rigid bodies. Covers kinematics of particle motion including Newton’s second law, work-energy and momentum methods. Topics include kinematics of planar motions of rigid bodies, such as work-energy and momentum principles for rigid body motion. Foundations of mathematical modeling and problem-solving applied to engineering field.
Graded: Letter Grade
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EMEC 305 - Thermal and Statistical Physics (Cross-listed as PHYS 305)
Units: 3
Three hours lecture per week
Prerequisite(s): PHYS 201 and MATH 350
Corequisite(s): None
Addresses behavior of energy and matter in systems having many particles. Includes classical and quantum mechanical views of physical systems, and begins with basic concepts of probability and statistics. Particular emphasis will be placed on simple model systems for which quantitative results can be obtained and compared to experiment, such as ideal gases and quantum mechanical spin systems. Course includes statistics of microcanonical, canonical, and grand canonical ensembles; relation between classical and quantum statistical mechanics; Planck distribution, bosons, fermions, and doped semiconductors, among others; and an introduction to kinetic theory.
Graded: Letter Grade
Same as: PHYS 305
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EMEC 310 - Electronics (Cross-listed as PHYS 310)
Units: 4
Three hours lecture and two hours activity per week
Prerequisite(s): PHYS 101 or PHYS 201
Covers basic analog and digital, electronic circuits used in a scientific laboratory. Students will be introduced to operation of simple electronic devices, basic underlying theory of their operation, and applications of a few analog and digital ICs. Emphasis is on applications rather than theory. Consequently, there is strong hands-on component to subject to enable students to gain practical experience. Experiments will include testing of actual and virtual circuits, and data acquisition. At least two formal laboratory reports will be required.
Graded: Letter Grade
Same as: PHYS 310
Graduation Requirement(s): GWAR with C- or better
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