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Rensselaer Catalog 2022-2023 [Archived Catalog]
Courses
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MATH 4840 - Numerical Linear Algebra with Applications
The focus of the course is on fundamental algorithms in computational linear algebra and their applications in science and engineering. These algorithms involve QR and SVD factorizations, the computation of eigenvalues and eigenvectors, basic optimization methods, and iterative methods for sparse systems. Applications will be considered in areas such as data analysis and compression, principal component and spectral analysis, solutions of large sparse systems, among others.
Prerequisites/Corequisites: MATH 4800 .
When Offered: Spring term odd-numbered years.
Credit Hours: |
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MATH 4940 - Readings in Mathematics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATH 4950 - Research in Mathematics
Undergraduate mathematics projects that utilize students’ mathematical knowledge will result in formal reports and final presentations. Examples are research projects or critical in-depth mathematical literature reviews. Information about projects will be exchanged in weekly meetings with the research supervisor. In order to take this course, students must make arrangements with a math faculty member to act as a research supervisor. This is a communication-intensive course. To be graded S/U.
Prerequisites/Corequisites: Prerequisite: permission of instructor is required. Open to mathematics majors only.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MATH 4960 - Topics in Mathematics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATH 4980 - Undergraduate Project in Mathematics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATH 6190 - Topics in Mathematics
The course is intended to provide a mathematical perspective on one or more topics chosen from algebra, geometry, and/or topology. Topics may include combinatorial matrix theory, classification of surfaces, Lie groups, Galois theory, geometric analysis, computational geometry, homology, and/or fixed point theorems.
Prerequisites/Corequisites: Prerequisites: vary with topic.
When Offered: Spring term odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6200 - Real Analysis
A careful study of measure theory, including abstract and Lebesgue measures and integration, absolute continuity and differentiation, L^p spaces, Fourier transforms and Fourier series, Hilbert spaces and normed linear spaces.
Prerequisites/Corequisites: Prerequisite: MATH 4100 and MATH 4200 and MATH 4600 or equivalent or permission of instructor.
When Offered: Fall term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6220 - Applied Functional Analysis
A basic course in the concepts of linear functional analysis, including such topics as Banach and Hilbert spaces, L^p and l^p (sequence) spaces; weak, strong and weak* convergence; linear functionals; linear bounded, unbounded, closed, and compact operators; spectrum, resolvent, the spectral theorem for compact operators, Fredholm alternative; applications are to differential equations, integral equations and optimization.
Prerequisites/Corequisites: Prerequisites: MATH 4100 and MATH 4200 , MATH 4300 , and MATH 4600 or equivalent or permission of instructor.
When Offered: Fall term odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6400 - Ordinary Differential Equations
Analytical and computational methods for ordinary differential equations: existence and uniqueness of solutions, similarity methods, linear equations, regular singular points, hypergeometric equations, asymptotic expansions near irregular singular points, WKB theory, turning points, stability theory, stable and unstable manifolds, periodic solutions and Poincare maps, Floquet theory, stabilization and destabilization by periodic forcing, calculus of variations, Lagrangian and Hamiltonian systems, Poincare invariants, symplectic integrators, basic bifurcation theory, examples of chaotic dynamics, applications to physics, chemistry, and biology.
Prerequisites/Corequisites: Prerequisite: MATH 4300 and MATH 4400 or equivalent or permission of instructor.
When Offered: Spring term odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6490 - Topics in Ordinary Differential Equations
Mathematical foundations and/or applications of ordinary differential equations. Possible topics include: stability and chaos in dynamics, mathematical methods of classical mechanics, stochastic differential equations, and soliton equations.
Prerequisites/Corequisites: Prerequisites: vary with topic.
When Offered: Spring term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6500 - Partial Differential Equations
A course dealing with the basic theory of partial differential equations. It includes such topics as properties of solutions of hyperbolic, parabolic, and elliptic equations in two or more independent variables; linear and nonlinear first order equations; existence and uniqueness theory for general higher order equations; potential theory and integral equations.
Prerequisites/Corequisites: Prerequisite: MATH 4100 and MATH 4200 and MATH 4600 or equivalent or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6590 - Topics in Partial Differential Equations
Mathematical foundation and/or applications of partial differential equations. Possible topics include soliton theory and applications, wavelets and PDEs, scattering theory, hyperbolic conservation laws.
Prerequisites/Corequisites: Prerequisites: vary with topic.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6600 - Methods of Applied Mathematics
Linear vector spaces; eigenvalues and eigenvectors in discrete systems; eigenvalues and eigenvectors in continuous systems including Sturm-Liouville theory, orthogonal expansions and Fourier series, Green’s functions; elementary theory of nonlinear ODEs including phase plane, stability and bifurcation; calculus of variations. Applications will be drawn from equilibrium and dynamic phenomena in science and engineering.
Prerequisites/Corequisites: Prerequisites: MATH 2400 and MATH 4600 or equivalent or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6620 - Perturbation Methods
This course is devoted to advanced methods rather than theory. Content includes such topics as matched asymptotic expansions, multiple scales, WKB, and homogenization. Applications are made to ODEs, PDEs, difference equations, and integral equations. The methods are illustrated using currently interesting scientific and engineering problems that involve such phenomena as boundary or shock layers, nonlinear wave propagation, bifurcation and stability, and resonance.
Prerequisites/Corequisites: Prerequisites: MATH 2400 and MATH 4600 or equivalent or permission of instructor.
When Offered: Spring term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6640 - Complex Variables and Integral Transforms with Applications
Review of basic complex variables theory; power series, analytic functions, singularities, and integration in the complex plane. Integral transforms (Laplace, Fourier, etc.) in the complex plane, with application to solution of PDEs and integral equations. Asymptotic expansions of integrals (Laplace method, methods of steepest descent and stationary phase), with emphasis on extraction of useful information from inversion integrals of transforms. Problems to be drawn from linear models in science and engineering.
Prerequisites/Corequisites: Prerequisites: MATH 2400 , MATH 4300 and MATH 4600 or equivalent or permission of instructor.
When Offered: Spring term odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6660 - Stochastic Processes and Modeling
This course provides an introduction to methods and concepts to model and analyze the dynamics of system with uncertain inputs or too many variables to track explicitly. Topics may include Markov processes, point processes, renewal processes, and/or stochastic differential equations. Applications will be developed and illustrated on examples drawn from physics, biology, chemistry, industry, and finance.
Prerequisites/Corequisites: Prerequisite: MATH 2400 or equivalent or permission of instructor.
When Offered: Spring term even-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6790 - Topics in Applied Mathematics
Advanced methods and/or applications of mathematics. Possible topics include: nonlinear continuum mechanics, nonlinear waves, inverse problems, nonlinear optics, combustion, acoustic wave propagation, similarity methods for differential equations, quantum field theory and statistical mechanics, stability of fluid flows, biomathematics, and finance.
Prerequisites/Corequisites: Prerequisites: vary with topic.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6800 - Computational Linear Algebra
Computational methods for linear systems, Gaussian elimination, conditioning and stability, pivoting strategies, special linear systems (such as positive definite, banded, or sparse), QR factorization and least squares problem. Computational methods for eigenvalue problems and singular value decompositions. Iterative methods for linear systems (such as GMRES, conjugate gradient and preconditioning).
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or equivalent or permission of instructor.
When Offered: Fall term annually.
Cross Listed: Cross listed as CSCI 6800 . Students cannot obtain credit for both this course and CSCI 6800 .
Credit Hours: 4
Credit Hours: 4 |
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MATH 6820 - Numerical Solution of Ordinary Differential Equations
Numerical methods and analysis for ODEs with applications from mechanics, optics, and chaotic dynamics. Numerical methods for dynamical systems include Runge-Kutta, multistep and extrapolation techniques, methods for conservative and Hamiltonian systems, methods for stiff differential equations and for differential-algebraic systems. Methods for boundary value problems include shooting and orthogonalization, finite difference and collocation techniques, and special methods for problems with boundary or shock layers.
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or permission of instructor.
When Offered: Fall term even-numbered years.
Cross Listed: Cross listed as CSCI 6820 . Students cannot obtain credit for both this course and CSCI 6820 .
Credit Hours: 4
Credit Hours: 4 |
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MATH 6840 - Numerical Solution of Partial Differential Equations
Numerical methods and analysis for linear and nonlinear PDEs with applications from heat conduction, wave propagation, solid and fluid mechanics, and other areas. Basic concepts of stability and convergence (such as Lax equivalence theorem, CFL condition, GKS stability theory, energy methods). Methods for parabolic problems (finite differences, method of lines, ADI, operator splitting), methods for hyperbolic problems (vector systems and characteristics, dissipation and dispersion, shock capturing and tracking schemes), methods for elliptic problems (finite difference and finite volume methods).
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or equivalent or permission of Instructor.
When Offered: Spring term annually.
Cross Listed: Cross listed as CSCI 6840 . Students cannot obtain credit for both this course and CSCI 6840 .
Credit Hours: 4
Credit Hours: 4 |
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MATH 6860 - Finite Element Analysis
Galerkin’s method and extremal principles, finite element approximations (Lagrange, hierarchical and 3D approximations, interpolation errors), mesh generation and assembly, adaptivity (h-, p-, hp-refinement). Error analysis and convergence rates. Perturbations resulting from boundary approximation, numerical integration, etc. Time dependent problems including parabolic and hyperbolic PDEs. Applications will be selected from several areas including heat conduction, wave propagation, potential theory, and solid and fluid mechanics.
Prerequisites/Corequisites: Prerequisite: MATH 4800 or CSCI 4800 or equivalent or permission of instructor.
When Offered: Spring term even-numbered years.
Cross Listed: Cross listed as CSCI 6860 . Students cannot obtain credit for both this course and CSCI 6860 .
Credit Hours: 4
Credit Hours: 4 |
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MATH 6890 - Topics in Computational Mathematics
Advanced methods and/or applications in scientific computing. Possible topics include computational fluid dynamics, parallel computing, computational acoustics, and computer applications in medicine and biology.
Prerequisites/Corequisites: Prerequisites: vary with topic.
When Offered: Fall and spring terms odd-numbered years.
Credit Hours: 4
Credit Hours: 4 |
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MATH 6940 - Readings in Mathematics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATH 6950 - Teaching Seminar for Teaching Assistants
A seminar required for first-year TAs in mathematics.
Prerequisites/Corequisites: Prerequisite: first-year math TA.
When Offered: Fall term annually.
Credit Hours: 1
Credit Hours: 1 |
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MATH 6951 - Introduction to Research in Mathematics
This seminar introduces first-year graduate students in mathematics to the faculty and their research. Each week a different faculty member from math will give introductory presentations of their current research areas in a setting that is conducive for significant student-faculty discussions of the material.
Prerequisites/Corequisites: Prerequisite: graduate student in mathematics.
When Offered: Spring term annually.
Credit Hours: 1
Credit Hours: 1 |
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MATH 6960 - Topics in Mathematics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATH 6970 - Master’s Practicum in Mathematics
Active participation in a professional experience in mathematics, under the supervision of a faculty adviser. A Master’s Practicum may serve as the capstone professional experience for the M.S. degree. A Master’s Practicum may result in documentation as required by the adviser, but is not submitted to the Office of Graduate Education and is not archived in the library. Grades of A, B, C, or F are assigned if credit is awarded for the Master’s Practicum.
Credit Hours: 0 to 6
Credit Hours: 0 to 6 |
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MATH 6980 - Master’s Project
Active participation in a master’s-level project, under the supervision of a faculty adviser, leading to a master’s project report. Grades S or U are assigned at the end of the semester. If recommended by the adviser, the master’s project may be accepted by the Office of Graduate Education to be archived in the library.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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Credit Hours: 1 to 9 credit hours. |
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MATH 9990 - Dissertation
Active participation in research, under the supervision of a faculty adviser, leading to a doctoral dissertation. Grades of IP are assigned until the dissertation has been publicly defended, approved by the doctoral committee, and accepted by the Office of Graduate Education to be archived in a standard format in the library. Grades will then be listed as S.
Credit Hours: 1-16
Credit Hours: 1-16 |
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MATP 4400 - Introduction to Data Mathematics
This course will center on applications of basic data analysis techniques such as data visualization, classification, clustering, and ridge regression. A case study approach will be used to provide immediate immersion into the problem of understanding high-dimensional data. The course will develop the necessary mathematics to understand and execute the techniques. Each student will execute a mini-data analysis project on a real-world data problem such as from engineering, medicine, and business.
Prerequisites/Corequisites: Prerequisite: MATH 2010 and CSCI 1100 .
When Offered: Spring term annually.
Graded: Grades will be based on the weekly homework, in-class labs, two projects, and two in-class exams.
Credit Hours: 4
Credit Hours: 4 |
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MATP 4450 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics in an entire methodology rather than individual analyses or analysis steps.
Prerequisites/Corequisites: Prerequisite preferences: Data Science ITWS 4350 / CSCI 4350 / ERTH 4350 , Foundations of Data Science CSCI 49XX or permission of instructor. Database experience (pref). Script programming (pref).
When Offered: Spring term annually.
Cross Listed: ITWS 4600 and ITWS 6600 . Students may not receive credit for both MATP 4450 and ITWS 4600 / ITWS 6600 .
Credit Hours: 3
Credit Hours: 3 |
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MATP 4600 - Probability Theory and Applications
Axioms of probability, joint and conditional probability, random variables, probability density and distribution functions, expectation, functions of random variables, and limit theorems. Applications of probability to models in operations research, including queuing theory and Markov chains.
Prerequisites/Corequisites: Prerequisite: MATH 1020 or equivalent or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATP 4700 - Mathematical Models of Operations Research
Introduction to deterministic models of operations research including linear programming formulations, the simplex algorithm, degeneracy, geometry of convex polyhedra, duality theory, and sensitivity analysis. Special linear programming models for assignment, transportation, and network problems. Integer programming formulations along with branch and bound solution. Dynamic programming.
Prerequisites/Corequisites: Prerequisite: MATH 2010 .
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATP 4820 - Computational Optimization
An introduction to nonlinear programming. Models, methods, algorithms, and computer techniques for nonlinear optimization are studied. Students investigate contemporary optimization methods both by implementing these methods and through experimentation with commercial software. Nonmajors wishing to gain practical optimization skills are welcomed in this course. A course project will allow students to explore optimization methods and practical problems directly related to their interests.
Prerequisites/Corequisites: Prerequisites: MATH 2010 or ENGR 1100 and CSCI 1100 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: Students cannot obtain credit for both this course and MATP 6610 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 4910 - Data Analytics Research
This course focuses on applied data analytics research on real-world open problems. Students will conduct a semester long, team based, hands-on data analytics project. A data set will be selected at the start of the semester. Students will also be instructed in the process of project objective setting, planning, execution, and management. Students will be guided via classroom demonstrations and individualized team coaching by the instructors in the employment of visualization, analytics, and modeling methods.
Prerequisites/Corequisites: MATP 4400 or CSCI 4100 / CSCI 6100 or ECSE 6610 or ITWS 4600 / ITWS 6600 or ISYE 6180 or BIOL 4200 permission of the instructor.
When Offered: Fall term annually.
Cross Listed: Students cannot get credit for this course and MATP 6910 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 4940 - Readings in Mathematical Programming, Probability, and Mathematical Statistics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATP 4960 - Topics in Mathematical Programming, Probability, and Mathematical Statistics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATP 4980 - Undergraduate Project in Mathematical Programming, Probability, and Mathematical Statistics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATP 6600 - Introduction to Optimization
Coverage of several areas of interest in optimization, with proofs of some major results. Convex sets and functions. Optimality conditions in nonlinear optimization. Lagrangian duality. Linear, quadratic, and conic optimization. Convex relaxations of integer optimization problems. Stochastic optimization.
Prerequisites/Corequisites: MATH 2010 and MATH 4090 or equivalent or permission of instructor.
When Offered: Fall term annually.
Cross Listed: Cross listed as ISYE 6780 . Students cannot obtain credit for both this course and ISYE 6780 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 6610 - Computational Optimization
An introduction to nonlinear programming. Models, methods, algorithms, and computer techniques for nonlinear optimization are studied. Students investigate contemporary optimization methods both by implementing these methods and through experimentation with commercial software. Nonmajors wishing to gain practical optimization skills are welcomed in this course. A course project will allow students to explore optimization methods and practical problems directly related to their interests. A computer implementation and a research presentation will be required. Students cannot obtain credit for both this course and MATP 4820 .
Prerequisites/Corequisites: Prerequisites: MATH 2010 or ENGR 1100 and CSCI 1100 or equivalent or permission of instructor.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATP 6620 - Integer and Combinatorial Optimization
Exact and heuristic methods for solving discrete problems, including the traveling salesman problem, the knapsack problem, packing and covering problems. Algorithm complexity and NP-completeness, cutting plane methods and polyhedral theory, branch and bound, Lagrangian duality, liftings, metaheuristics.
Prerequisites/Corequisites: Prerequisites: MATH 2010 and MATP 4700 or equivalent or permission of instructor.
When Offered: Spring term odd-numbered years.
Cross Listed: Cross listed as ISYE 6760 . Students cannot obtain credit for both this course and ISYE 6760 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 6640 - Linear and Conic Optimization
A unified development of linear systems and linear optimization, polyhedral theory, the simplex method, interior point methods, decomposition methods for large-scale linear optimization problems, the ellipsoid method, column generation algorithms for stochastic optimization, and other problems. Semidefinite optimization, conic optimization.
Prerequisites/Corequisites: Prerequisite: MATH 2010 and MATP 4700 or equivalent or permission of instructor.
When Offered: Spring term even-numbered years.
Cross Listed: Cross listed as ISYE 6770 . Students cannot obtain credit for both this course and ISYE 6770 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 6910 - Data Analytics Research
This course focuses on applied data analytics research on real-world open problems. Students will conduct a semester long, team based, hands-on data analytics project. A data set will be selected at the start of the semester. Students will also be instructed in the process of project objective setting, planning, execution, and management. Students will be guided via classroom demonstrations and individualized team coaching by the instructors in the employment of visualization, analytics, and modeling methods.
Prerequisites/Corequisites: MATP 4400 or CSCI 4100 / CSCI 6100 or ITWS 4600 / ITWS 6600 or BIOL 4200 or permission of the instructor.
When Offered: Fall term annually.
Cross Listed: Students cannot get credit for both this course and MATP 4910 .
Credit Hours: 4
Credit Hours: 4 |
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MATP 6940 - Readings in Mathematical Programming, Probability, and Mathematical Statistics
Credit Hours: 1 to 4
Credit Hours: 1 to 4 |
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MATP 6960 - Topics in Optimization
Advanced methods and/or applications in optimization. Possible topics include stochastic programming, learning theory, cone programming, optimization of medical treatment, and network flows.
Prerequisites/Corequisites: Prerequisites: vary with topics and/or instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MATP 6980 - Master’s Project
Active participation in a master’s-level project under the supervision of a faculty adviser, leading to a master’s project report. Grades of IP are assigned until the master’s project has been approved by the faculty adviser. If recommended by the adviser, the master’s project may be accepted by the Office of Graduate Education to be archived in the Library.
Graded: Grades will then be listed as S.
Credit Hours: 1 to 6
Credit Hours: 1 to 6 |
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MGMT 1100 - Management in the Digital Age
This is a required first course for management majors and minors. In a case-based format, it emphasizes broad, basic principles of managerial functions and processes using an interdisciplinary approach to goal-oriented situations of private and public organizations.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 1240 - Management Professional Development 1
The course is the first in a two-part series of Professional Development Workshops that teach practical skills to enhance business students’ readiness to enter the professional world and achieve workplace success and a high degree of professionalism. The course emphasizes the following themes: personal values and self-awareness, leadership and followership, ethics, basic oral presentation skills.
When Offered: Fall term annually.
Credit Hours: 2
Credit Hours: 2 |
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MGMT 1250 - Management Professional Development 2
The course is the second in a two-part series of Professional Development Workshops that teach practical skills to enhance business students’ readiness to enter the professional world and achieve workplace success and a high degree of professionalism. The course emphasizes the following themes: professional oral and written presentation, professional goal setting, feedback giving and receiving, conflict and business ethics, networking, and meeting management.
When Offered: Spring term annually.
Credit Hours: 2
Credit Hours: 2 |
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MGMT 1260 - Business Law and Ethics
This course focuses on legal and ethical considerations in management. Topics include torts, contracts, criminal and property law, constitutional and administrative law, dispute resolution, business formation, and equal opportunity. Students will also develop an awareness of ethics in managerial decision making, including recognizing and analyzing ethical issues in the workplace, promoting ethical behavior in corporations, and recognizing social responsibilities of business.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 2100 - Statistical Methods
This course develops an understanding of concepts in business statistics and focuses on application of concepts in problem-solving situations. In particular, students learn to present and describe data, analyze probability distributions, make statistical inferences based on data samples, and develop models for prediction and forecasting.
Prerequisites/Corequisites: Prerequisites: MATH 1500 and MATH 1520 or permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 2150 - Accelerated Business Statistics
This course develops an understanding of concepts in business statistics and the application of concepts in problem-solving situations. Students learn to present and describe data, make statistical inferences, and develop models for prediction and forecasting. Work is accompanied by use of software (Excel) and a course project ensures that concepts are properly applied. This fast-paced course assumes students have a good understanding of foundational mathematics and the ability to quickly grasp quantitative content. Students cannot earn credit for both MGMT 2100 and MGMT 2150.
Prerequisites/Corequisites: Prerequisites: MATH 1500 and MATH 1520 .
When Offered: Upon availability of the instructor.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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MGMT 2320 - Managerial Finance
An introduction to corporate financial analysis and decision making. This course covers the following topics: financial statement analysis, valuation principles, risk and return analysis, working capital management, capital budgeting, cost of capital, capital structure, and dividend policy.
Prerequisites/Corequisites: Prerequisites: MGMT 2300 Financial Accounting.
When Offered: Fall, spring, and summer terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 2430 - Marketing Principles
This course provides students with an understanding of marketing principles and the role of the marketing discipline. The course is intended to help students learn the basic concepts and practices of marketing and to familiarize them with the terminology and techniques for properly framing and analyzing marketing problems. In addition to marketing concepts, processes, and strategy, issues such as the social consequences of marketing are discussed.
Prerequisites/Corequisites: None
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 2510 - Introduction to Data Management and Analytics
An introduction to the fundamentals of data management and analysis with applications in business and information systems. Through hands-on exercises students will develop competencies in working with data through spreadsheets applications and relational databases. Topics include foundational concepts in information systems, spreadsheets, and basic data modeling and database design.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Contact, Lecture or Lab Hours: 5 contact hours
Credit Hours: 4 |
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MGMT 2600 - International Business
The course provides an introduction and an overview of international business. Topics in the course include (1) globalization of markets and firms, (2) political, economic, and cultural differences across countries, (3) theories and trends in international trade and investment, (4) strategies and operations of firms in international markets, and (5) global aspects of marketing, R&D, human resource management, accounting, and finance.
When Offered: Upon availability of instructor.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 2940 - Studies in Management
Student plans a course of selected topics in management theory or practice not listed in this catalog. The instructor who will supervise and grade the student must approve the plan. Lectures, discussions, conferences, or seminars may be used in conjunction with the independent study.
Prerequisites/Corequisites: Prerequisite: permission of instructor.
When Offered: Fall and spring terms annually.
Credit Hours: 1 to 4 per course, not to exceed 12 for this course number
Credit Hours: 1 to 4 per course, not to exceed 12 for this course number |
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MGMT 2960 - Topics in Management
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4080 - Networks and Value Creation
Increasingly the competitive landscape in many industries is shaped not only by individual firm competencies but more by those of the extended value networks that organizations are part of. The course focuses on how value networks for demand fulfillment can be designed and managed. Key concepts related to how inter-enterprise integration and value chain constellations can be deployed to effectively detect and fulfill customer needs in a cost-efficient manner. The course will also examine several sourcing strategies and their suitability and economics for different types of products and services.
Prerequisites/Corequisites: Prerequisite: MGMT 4100 Quantitative Methods.
When Offered: Fall terms annually.
Cross Listed: MGMT 6080 . Students cannot receive credit for both MGMT 4080 and MGMT 6080
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4100 - Quantitative Methods for Business
This course introduces the student to the business management of production and operations systems. The concepts are related to inventory control, forecasting, scheduling, man-powers, and facilities planning. Computer usage includes Excel and specialized packages.
Prerequisites/Corequisites: MGMT 2100 Statistical Methods or equivalent.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4110 - Operations Management
This course introduces the student to the operations function in services and manufacturing-oriented firms. Students develop an appreciation of the concepts, principles, and techniques used for decision making in the operations function. The course takes a managerial perspective.
When Offered: Fall and Spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4130 - Enterprise IT Integration
This course explores a multitude of approaches to IT integration among the various departments of a corporation as well as between the corporation and entities in its external environment. It explores multiple integration methods at the data level, the process level, and the application level. Once the student acquires a strong understanding of these basic methods then the course continues with advanced methods of IT integration. Such methods include Service Oriented Architectures (SOA), Fast Business to Business methods, Middleware methods, Cloud Computing, Supply Chain, and Portal based integration. The course is case study taught using the latest case studies from various consulting companies as they have actually implemented solutions for their corporate customers. A student cannot receive credit for both the graduate and undergraduate versions of this course.
When Offered: Upon Instructor Availability
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4140 - Computer Information Systems
This course provides the undergraduate management student with an introduction to the concept and components of computer-based “management information systems” (MIS) and their integration into organizational processes to gain competitive advantage. This course will examine approaches for developing and using information systems in support of business processes. Topics include: the impact of computer-based information systems on organizations; the basic technology components of modern information systems; the process by which information systems are created and changed; and selected management and technology issues.
When Offered: Fall, spring, and summer terms anually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4150 - IT Project Management
This capstone concentration course provides the student with conceptual and applied material focusing on the effective implementation of information. A central theme underlying this course is that information system implementation is best thought of as a bridge between systems design and utilization and that it must be understood in the context of the development process as a whole. The course examines a wide array of interrelated issues not generally covered in a systems analysis and design course including: process development life cycle; project management and systems engineering; process reengineering and maturity; organizational learning and evaluation.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4160 - Applied Analytics and Predictive Modeling
Business analytics enables organizations to leverage large volumes of data in order to make more informed decisions. It encompasses a range of approaches to integrating, organizing, and applying data in various settings. This course develops an understanding of concepts in business analytics and data manipulation. In particular, through hands-on experience with a range of techniques students will learn to work with large data sets, analyze trends and segmentations, and develop models for prediction and forecasting.
Prerequisites/Corequisites: MGMT 4100 .
When Offered: Spring term annually.
Cross Listed: MGMT 6160 . Students cannot receive credit for both MGMT 4160 and MGMT 6160
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4170 - Data Resource Management
This is a hands-on course where students will learn a mix of theoretical and practical tools. Using these tools, they will solve a variety of supply chain problems, both analytically and numerically. Students will examine data and use this to understand supply, demand, and inventory levels using R to model many of these problems. The course will also review the data and assess its suitability for modelling. Time series, Markov chain, optimal control, linear programming, statistical analysis, and other mathematical tools will be used to reveal the data’s secrets. The bottom line is these insights will be used to make recommendations to firms and other decision makers. Students will also look at qualitative problems through the examination and discussions of cases in class. Not everything can be distilled to a number and so a holistic view of business problems will be taken to make more strategic recommendations. Teams of students will then solve and present these case results
Prerequisites/Corequisites: MGMT 4100 and MGMT 4110
When Offered: Fall and Springs terms annually
Cross Listed: MGMT 6570 . Students cannot receive credit for both MGMT 4170 and MGMT 6570 .
Credit Hours: |
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Credit Hours: 4 |
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MGMT 4180 - Marketing Analytics
The objective of this course is to apply a systematic and analytical approach to marketing decision-making, and to build skills and confidence in undertaking such analyses on your own. We will study tools for generating marketing insights from empirical data in such areas as segmentation, targeting, positioning, customer choice, new product design, and forecasting. This will be a hands-on course in which you apply the tools studied to actual business cases. We will cover analytical techniques typically bundled under “marketing analytics” such as regression, cluster analysis, discriminant analysis, logit model, conjoint analysis, bass model, etc. We will NOT be approaching these topics theoretically, that is, via equations or proofs. Instead, we’ll learn how and when to apply each model and what they tell marketers.
Prerequisites/Corequisites: MGMT 2100 and MGMT 2430 .
When Offered: Spring term annually.
Cross Listed: MGMT 6180 . Students cannot receive credit for both MGMT 4180 and MGMT 6180 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4190 - Introduction to Machine Learning Applications
The widespread proliferation of IT-influenced economic activity leaves behind a rich trail of micro-level data, enabling organizations to use analytics and experimentation in both strategy and operations. This course provides a hands-on introduction to the concepts, methods, and processes for machine learning from data, the foundation of artificial intelligence. Students will learn how to manipulate data and apply machine learning models to business context. Students will learn how to obtain data and draw business inferences from data by asking the right questions and using the appropriate tools.
Prerequisites/Corequisites: None
When Offered: Fall and Spring terms annually.
Cross Listed: MGMT 6560 - Students cannot receive credit for both MGMT 4190 and MGMT 6560 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4220 - Accounting Information Systems
This course provides the background for understanding how the accounting system works and also how the accounting system fits into the overall information system of the firm.
Prerequisites/Corequisites: Prerequisite: MGMT 2300 .
When Offered: Upon instructor availability.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4230 - Cost Accounting
This course is the upper level of managerial accounting course. Cost accounting provides information for both managerial accounting and financial accounting. It is useful for managers for planning and controlling, as well as costing products, services, and customers.
Prerequisites/Corequisites: MGMT 2300 with at least a grade of C.
When Offered: Upon instructor availability.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4240 - Systems Analysis and Design
This course presents conceptual material on the analysis and design of business information systems. The focus is on understanding business information processing requirements and developing information systems solutions to meet these requirements. Key stages of the systems development life cycle including planning, analysis, and design are the focus of this course. Models and procedures for understanding and modeling an organization’s existing and planned information systems are presented. Computer-aided software engineering tools are used to provide hands-on experience in designing information systems.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4250 - Managerial Accounting
This course focuses on the principles of managerial accounting, in three major areas: 1) how managerial behavior influences costs; 2) how managers use accounting information to make strategic decisions; and 3) how to evaluate and control managerial actions. A student cannot receive credit for both the graduate and undergraduate versions of this course.
Prerequisites/Corequisites: MGMT 2300 .
When Offered: Upon instructor availability.
Cross Listed: MGMT 6210 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4260 - Financial Statement Analysis
This course is designed to strengthen students’ ability to correctly analyze, interpret, and evaluate financial statements and their accompanying disclosures. The course is aimed at anyone whose career might involve working with accounting data, and should be especially useful for those interested in consulting and financial analysis. Throughout the semester the course will cover how to use financial accounting information for evaluating past performance and predicting future performance of a company or division. The course revolves around a number of topics of recent interest to the business community including accounting and financial analysis, performance forecasting, the quality of earnings, mergers and acquisitions, purchased R&D, post-employment benefits, executive compensation, and intangible assets. This course assumes that students have a basic knowledge of accounting, finance, economics, and business strategy. The focus is on integrating key concepts from each of these areas and applying them to financial decision-making. Half of the course time will be devoted to case analysis. Students are responsible for reading each case thoroughly and familiarizing themselves with the relevant accounting issues before the class.
Prerequisites/Corequisites: MGMT 2300
When Offered: Spring Term Annually
Cross Listed: MGMT 6430 . Students cannot receive credit for both MGMT 4260 and MGMT 6430 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4270 - Intermediate Accounting I
This is the first intermediate course on the theory and practice of accounting and financial reporting. Designed for both accounting and finance majors, this course combines a study of the theory, rationale, and objectives of corporate financial reporting with an examination of current reporting principles. The aim is to develop a realistic understanding of the strengths and weaknesses of corporate financial reporting, particularly from the viewpoint of the consumer of such financial information.
Prerequisites/Corequisites: MGMT 2300 .
When Offered: Upon instructor availability.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4280 - Intermediate Accounting II
As the second course in the Intermediate Accounting sequence, this course is designed for both accounting and finance majors. This course combines a study of the theory, rationale, and objectives of corporate financial reporting with an examination of current reporting principles. The aim is to develop a realistic understanding of the strengths and weaknesses of corporate financial reporting, particularly from the viewpoint of the consumer of such financial information.
Prerequisites/Corequisites: MGMT 4270 Intermediate Accounting I.
When Offered: Upon instructor availability.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4310 - Financial Trading and Investing
This course introduces interactive trading in financial instruments. Students learn the principles of asset price discovery through real-time trading in a variety of markets, including equities, bonds, options, derivatives. Topics addressed include asset valuation, portfolio management, and risk management in the context of real-time trading of financial instruments. The course uses the facilities of the Lally School’s Virtual Trading Room.
Prerequisites/Corequisites: MGMT 2320
When Offered: Fall term annually.
Cross Listed: MGMT 6240 . Students cannot receive credit for both MGMT 4310 and MGMT 6240 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4320 - Investments I
Introduction to financial markets, financial instruments, and basic investment principles. The course provides students with an understanding of how to value securities, how to assess risk and return tradeoffs, how to make investment decisions, and how to measure investment performance. Topics include market microstructure and impact of technology on securities markets, principles of investment banking, valuation of stocks and bonds and hybrid instruments, portfolio theory, asset pricing models, bond portfolio management, and derivative securities.
Prerequisites/Corequisites: MGMT 2300 and MGMT 2320
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4330 - Investments II
Advanced course in investment decision making. Analysis of investment strategies in national and international equity markets including emerging markets. Other topics include arbitrage pricing principles, portfolio insurance, study of the term structure of interest rates and interest rate forecasts, duration analysis, and bond portfolio management, including immunization and active strategies. Principles of option and futures pricing and strategies in options and futures markets.
Prerequisites/Corequisites: MGMT 4320 Investments I.
When Offered: Upon availability of instructor.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4340 - Advanced Corporate Finance
Advanced topics in financial theory and corporate policy as they are applied to the modern corporation. Emphasis in blending theory with application. Case studies are used to illustrate relevance of theoretical concepts. Topics include corporate financial decision making under uncertainty, financial forecasting, application of option pricing principles to capital budgeting decision making, mergers and acquisitions, leveraged buyouts and takeovers, leasing, financial engineering.
Prerequisites/Corequisites: MGMT 2320
When Offered: Fall term annually.
Cross Listed: MGMT 6380 . Students cannot receive credit for both MGMT 4340 and MGMT 6380 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4360 - International Financial Management
The objective of this course is to provide a conceptual understanding of the international financial markets and instruments and how corporations and investors use them in their financial decision-making process. The course coverage includes the international financial environment, foreign exchange markets, offshore financial markets, derivative securities markets, and international capital markets. Class sessions will be devoted to lectures and case discussions on topics outlined in the class schedule. Equipped with the background provided in the classroom, students solve problems and analyze cases representing real-life situations. A student cannot receive credit for both the graduate and undergraduate versions of this course.
Prerequisites/Corequisites: MGMT 2320 Managerial Finance
When Offered: Spring term annually.
Cross Listed: MGMT 6360 Students cannot earn credit for both courses.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4370 - Risk Management
Overview of risk management, and the concept and measurement of risk; types of risks (market, credit, liquidity, operational, business, strategic). Concepts, tools, and instruments available for risk management. Specific issues related with managing specific risk types — market, credit, interest-rate, liquidity risk, and operational risk. Securitization, asset-liability management. Concepts underlying insurance and role of insurance for risk management.
Prerequisites/Corequisites: MGMT 2320 or permission of instructor.
When Offered: Fall term annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4380 - Derivatives Markets
This course introduces the institutional structure of the financial markets for derivatives. It also covers hedging and basis risk, interest rate, and stock-index derivatives with financial management applications. Other topics covered include an introduction to options, rational option pricing restrictions, binomial option pricing model, and put and call option strategies.
Prerequisites/Corequisites: MGMT 2320 and MGMT 4320 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: MGMT 6370 .
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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MGMT 4420 - Student Managed Investment Fund
The Student Managed Fund course will actively invest real capital using financial market principles. The goal of the fund is to produce excess returns consistent with the performance of long/short hedge funds through use of fundamental, technical, and quantitative strategies driven by economic analysis. The goal of the course is to directly apply the analytical financial skills developed within other Lally courses and provide students with both instructor and peer real-time feedback for their work.
Prerequisites/Corequisites: MGMT 2320 or permission of instructor.
When Offered: Spring term annually.
Cross Listed: MGMT 6420 . Students cannot receive credit for both MGMT 4420 and MGMT 6420 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4450 - Internet Marketing
Technology is a vital link in how modern corporations identify, acquire, transact with, and keep their customers. This course provides an introduction to both the technology infrastructure most relevant to the customer relationship as well marketing issues that result from the application of computers and communication networks. Topics include issues related to social media, search, online advertising, blogging, customer relationship management, online market segmentation, and marketing of IT products. A student cannot receive credit for both the graduate and undergraduate versions of this course.
Prerequisites/Corequisites: MGMT 2430 (marketing principles)
When Offered: Spring term annually.
Cross Listed: MGMT 6720 . Students cannot receive credit for both MGMT 4450 and MGMT 6720 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4460 - Consumer Behavior and Product Design
This course introduces the motivations and related factors that shape consumers’ purchasing decisions. Also considered is the consumer perceptual process and how it affects purchasing behavior and consumer reaction to product designs. The relationship between perception and product design is extended to topics such as design for understanding, universal product design, aesthetics, and industrial design
Prerequisites/Corequisites: MGMT 2430 Marketing Principles.
When Offered: Fall term annually.
Cross Listed: MGMT 6800 . Students cannot receive credit for both MGMT 4460 and MGMT 6800 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4470 - Marketing Research
A course on identifying and solving marketing problems through the systematic gathering and analysis of market information. Course focuses on careful definition of marketing problems, specification of information needs, sampling theory, research design, statistical methods, and marketing management implications. A major project involving marketing research for an off-campus “client” is a key part of the final grade.
Prerequisites/Corequisites: MGMT 2430 .
When Offered: Fall term annually.
Cross Listed: MGMT 6550 . Students cannot receive credit for both MGMT 4470 and MGMT 6550 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4490 - Advertising Strategy and Promotions
Development of branding strategies to accomplish marketing objectives. The development of media plans and schedules to deliver advertising promotions element in the marketing mix. A student cannot receive credit for both the graduate and undergraduate versions of this course.
Prerequisites/Corequisites: None.
When Offered: Spring term annually.
Cross Listed: MGMT 6540 . Students cannot receive credit for both MGMT 4490 and MGMT 6540 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4510 - Invention, Innovation, and Entrepreneurship
This course focuses on three key goals: providing increased insight into the cognitive foundations of entrepreneurship, offering practice in applying creative thinking to the task of formulating ideas for new products or services, and presenting basic information about the organizational process of commercializing such innovations. These goals will be achieved through a combination of assigned readings, in-class exercises, and individual and team projects. In addition, the course will include contributions from guest speakers who will share with the class their own experiences and expertise.
Prerequisites/Corequisites: None
When Offered: Fall term annually.
Cross Listed: MGMT 6640 . Students cannot receive credit for both MGMT 4510 and MGMT 6640
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4520 - Introduction to Technological Entrepreneurship
An introductory course for initiating a new business venture and developing it into a self-sustaining and profitable enterprise. Provides understanding of the process whereby a person decides to become an entrepreneur, screens opportunities, selects an appropriate product/market target, and obtains the necessary resources. Also, provides the theoretical and practical knowledge for the preparation of formal business plans for the development of new products, processes, and services and for the financing of new enterprises. A student cannot receive credit for both the graduate and undergraduate versions of this course.
Prerequisites/Corequisites: None
When Offered: Spring term annually.
Cross Listed: MGMT 6620 . Students cannot receive credit for both MGMT 4520 and MGMT 6620
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4530 - Starting Up a New Venture
An understanding of the critical issues related to starting up a new business is gained through team-based experiential learning. Small teams of students develop a comprehensive business plan that can be used to raise money for a new or relatively new venture. The business plans are eligible for submission to the Rensselaer Business Plan Competition. The experiential learning process is enhanced through team meetings with faculty and/or course advisers and through oral presentations to the entire class.
Prerequisites/Corequisites: None
When Offered: Spring term annually.
Cross Listed: MGMT 6630 . Students cannot receive credit for both MGMT 4530 and MGMT 6630 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4540 - Entrepreneurial Finance
This course covers the theory and practice of venture capital financing of entrepreneurial firms. Topics to be discussed include the structure and governance of venture capital funds, venture capital financial contracting, valuation of entrepreneurial firms, staging, syndication, capital structure, and exits (IPOs, acquisitions, secondary sales, buybacks, and liquidations). International differences in venture capital markets will also be studied. A student cannot receive credit for both the graduate and undergraduate versions of this course
Prerequisites/Corequisites: MGMT 2300 and MGMT 2320 .
When Offered: Fall term annually.
Cross Listed: MGMT 6260 . Students cannot receive credit for both MGMT 4540 and MGMT 6260 .
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4600 - Data Analytics
The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps.
When Offered: Fall term annually
Cross Listed: ITWS 4600 / CSCI 4600 / BCBP 4600 / ITWS 6600 / MGMT 6600 . Students can only obtain credit for one of these
Credit Hours: 3
Credit Hours: 3 |
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MGMT 4700 - Corporate Entrepreneurship
In order to survive, corporations need to renew themselves. This requires instilling an entrepreneurial mindset which is often a challenge for large established corporations. Corporations caught up in the web of commoditization, stagnation, down-sizing, cost-cutting, re-engineering and the fast pace of globalization and technical change have come to realize that boosting their entrepreneurial capabilities, can improve their competitive positions through creating new markets and even transforming their industries. Yet overall, these efforts have produced uneven success. Although entrepreneurs in organizations can benefit from the knowledge resources, experience, and financial assets and networks of the large firm, they are constrained by the firm’s inertial structure and entrenched management practices, as well as by the influence of current customers. This course helps students understand these challenges and how to cope with them through developing appropriate corporate competencies, structures, systems, and talent management practices.
When Offered: Spring term annually.
Credit Hours: 4
Credit Hours: 4 |
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MGMT 4850 - Organizational Behavior in High Performance Organizations
This course provides an overview of basic processes in human behavior that influence the effectiveness of individuals, groups and organizations. Its focus is on understanding what happens during interpersonal interactions in work situations, and what can be done to make employees more effective. Topics covered include organizational socialization, motivation, decision-making, team dynamics, virtual teams, influence, and conflict management. Numerous exercises and case analyses are used in class to help provide students with insights into these processes.
Prerequisites/Corequisites: MGMT 1100 Introduction to Management or permission of the instructor.
When Offered: Fall, spring, and summer terms annually.
Credit Hours: 4
Credit Hours: 4 |
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Credit Hours: 4 |
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MGMT 4870 - Strategy and Policy
This is a course that integrates the functional fields of management. The first part of the course focuses on the tools and discipline commonly used in strategy formulation. The second part focuses on the implementation of strategy in a variety of contexts.
Prerequisites/Corequisites: MGMT 2300 Accounting for Decision Making, MGMT 2320 Managerial Finance, MGMT 2430 Marketing Principles, and MGMT 4110 Operations Management.
When Offered: Fall and spring terms annually.
Credit Hours: 4
Credit Hours: 4 |
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