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Biosystems Engineering (BSE) |
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BSE 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Master of Science - biosystems engineering major. Minimum student level – graduate.
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BSE 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
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BSE 516 - Environmental Hydrology 3 Credit Hours
Introduction to hydrology and associated environmental implications including: the hydrologic cycle, evapotranspiration, runoff, erosion, unit hydrograph operations, routing, open channel flow, groundwater, infiltration, and urban stormwater.
Credit Restriction: Students cannot receive credit for both 416 and 516.
Registration Restriction(s): Minimum student level – graduate.
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BSE 519 - Modeling Techniques and Applications 3 Credit Hours
Engineering approach to mathematical modeling of physical phenomena. Systems definitions and boundaries; types and formulation of models and solution techniques; verification and calibration techniques; model applications and case studies. Graduate research proposal development and publication formatting.
Contact Hour Distribution: 2 hours and 1 lab.
Comment(s): Graduate standing in engineering required.
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BSE 525 - Soil Erosion and Sediment Yield 3 Credit Hours
Cross-listed: (See Environmental Engineering 525.)
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BSE 530 - Research Problems in Biosystems Engineering 1-3 Credit Hours
Theoretical and experimental studies relating to current problems in biosystems engineering.
Repeatability: May be repeated. Maximum 6 hours.
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BSE 531 - Bioprocess Engineering 3 Credit Hours
Development of interdisciplinary bioprocess engineering; basics of biology in an engineering perspective; enzymatic reaction kinetics; metabolism and bioenergetics; cell growth kinetics and product formation; engineering principles applied to bioprocess engineering including mass balance, energy balance, and reaction kinetics; reactor design and systems; introduction to bioseparations; practical aspects of bioprocess engineers and process development.
Credit Restriction: Students cannot receive credit for both 431 and 531.
Registration Restriction(s): Minimum student level – graduate.
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BSE 543 - Instrumentation and Measurement 3 Credit Hours
Modern instrumentation techniques. Static and dynamic response of instrumentation; signal conditioning; temperature, moisture, optical radiation, displacement, strain, pressure, velocity, acceleration, and flow measurements; digital data acquisition and control.
Cross-listed: (Same as Environmental Engineering 543.)
Contact Hour Distribution: 2 hours and 1 lab.
Recommended Background: DC/AC Circuit Analysis in Electrical Engineering or Physics.
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BSE 551 - Electronic Systems 4 Credit Hours
Basic electronics with biological applications. Analog and digital electronics; sensing and controlling physical and environmental parameters; sensor selection and interfacing; signal conditioning; process control. Includes laboratory experiments and design projects.
Credit Restriction: Students cannot receive credit for both 451 and 551.
Recommended Background: DC/AC Circuit Analysis in Electrical Engineering or Physics.
Registration Restriction(s): Minimum student level – graduate.
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BSE 555 - GIS and GPS Applications to Biosystems 3 Credit Hours
Theory and applications of Geographical Information Systems (GIS) and Global Positioning Systems (GPS); acquiring, managing, and analyzing spatially-varying data. Site-specific resource management, watershed analysis, environmental site assessment, natural resource management.
Contact Hour Distribution: 2 hours and 1 lab.
Registration Restriction(s): Minimum student level - graduate.
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BSE 562 - Selected Topics in Natural Resource Engineering 3 Credit Hours
Topics in engineering for the characterization, conservation, and protection of soil, water, and air resources in spite of human activities such as off-road vehicle use, agriculture, mining, construction and land development, or waste application.
Repeatability: May be repeated. Maximum 12 hours.
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BSE 572 - Selected Topics in Machinery, Control, and Instrumentation Systems 3 Credit Hours
Topics in the engineering of machinery, sensors, and data collection and analysis systems, and the use of these systems in ways that enhance productivity, increase efficiency, boost economic return, and protect environmental resources.
Repeatability: May be repeated. Maximum 12 hours.
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BSE 576 - Applied Microbiology and Bioengineering 3 Credit Hours
Cross-listed: (See Chemical and Biomolecular Engineering 576.)
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BSE 582 - Selected Topics in Processing 3 Credit Hours
Topics in the engineering of biological and physical processes and of biological systems, from the production of raw materials through to high-demand value-added products.
Repeatability: May be repeated. Maximum 12 hours.
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BSE 600 - Doctoral Research and Dissertation 3-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Registration Restriction(s): Doctor of Philosophy - biosystems engineering major. Minimum student level – graduate.
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BSE 619 - Mathematical Modeling for Engineers 3 Credit Hours
Describing physical and biological settings with mathematical expressions. Applying modeling techniques toward analysis of case study data. Model development, evaluation, presentation, and journal publication.
(RE) Prerequisite(s): 519.
Registration Restriction(s): Minimum student level – graduate.
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BSE 650 - Selected Topics 1-3 Credit Hours
Lecture, group discussion, and individual study on specialized developments.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Minimum student level – graduate.
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Biosystems Engineering Technology (BSET) |
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BSET 432 - Agricultural and Construction Equipment 3 Credit Hours
Functions, selection, matching, and management of agricultural machinery systems. Tractor power ratings, engine and transmission systems, hydraulic systems, hitching, and ballasting. Field and material capacity, field efficiency, cost analysis, and machinery replacement strategies. Functional analyses of tillage operations, planters and drills, no-tillage systems, hay harvest systems, forage and small grain harvesting, and cotton harvesting. Crop drying processes, off-road machinery safety considerations, and operator ergonomics.
Contact Hour Distribution: 2 hours and 1 lab.
(RE) Prerequisite(s): Mathematics 125 or 141 or 152.
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BSET 435 - Construction Finance/Accounting and Law 3 Credit Hours
Construction finance and cost accounting, industry formats, fixed and variable costs, record and report practices; capital equipment, depreciation, and expensing; forecasting costs and cash flow requirements, payment processes and time value of money, surety bonds and insurance; construction law, construction contracts, legal roles and responsibilities, the regulatory environment and licensing, lien laws and the contractor’s rights, national and local labor law, administrative procedures to avoid disputes.
(RE) Prerequisite(s): Accounting 200.
Comment(s): Graduate standing may satisfy prerequisites.
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BSET 452 - Small Internal Combustion Engines 3 Credit Hours
Theory, concepts, and mechanics of small internal combustion engines; theoretical cycles; selection, operation, adjustment, troubleshooting and repair of single-cylinder engines.
Contact Hour Distribution: 2 hours and 1 lab.
(RE) Prerequisite(s): Mathematics 113 or 123 or 141 or 151.
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BSET 462 - Agricultural Chemical Application Technology 3 Credit Hours
Equipment for application of liquid, solid, and gaseous agricultural chemicals; system components; operational characteristics; calibration; selection and management; safety considerations; materials handling and disposal methods.
Contact Hour Distribution: 2 hours and 1 lab.
(RE) Prerequisite(s): Mathematics 123 or 141 or 151.
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BSET 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Master of Science - biosystems engineering technology major. Minimum student level – graduate.
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BSET 501 - Capstone Experience 1-3 Credit Hours
Individualized experience incorporating theoretical background, hands-on experience, and technical reporting.
Grading Restriction: Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: Repeatability: May be repeated. Maximum 9 hours.
Credit Level Restriction: Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Registration Restriction: Master of Science - biosystems engineering technology major. Minimum student level - graduate.
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BSET 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
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BSET 504 - Professional Presentation Seminar 1 Credit Hours
Formal presentation to a professional or lay audience on topics related to Agricultural Systems Technology, Construction Management, Off-road Machinery, or Land Surveying. Includes obtaining invitation, host negotiation, planning, logistics, promotion, media set-up, delivery, and audience response. Must receive prior review and approval by faculty before presentation.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 2 hours.
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BSET 505 - Professional Internship 3 Credit Hours
Professional experience related to obtaining new skill sets, career networking, and professional knowledge obtained within the Agricultural Systems Technology, Construction Science, Off-road Machinery, or Land Surveying industry. Requires interaction with academic degree program. Minimum 10 hrs of industry experience per week. Requires faculty-approved bi-weekly work logs and supervisor’s satisfactory final evaluation.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 6 hours.
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BSET 506 - Engineering Principles 3 Credit Hours
Properties of materials, fundamentals of hydraulics, principles of electricity, thermal phenomena, applications in biological systems.
Contact Hour Distribution: 2 hours and 1 lab.
Registration Restriction(s): Minimum student level – graduate.
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BSET 508 - Special Problems in Biosystems Engineering Technology 1-3 Credit Hours
Individual studies of current problems.
Repeatability: May be repeated. Maximum 6 hours.
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BSET 514 - CAD Applications to Biosystems Engineering Technology 3 Credit Hours
Computer Aided Drafting (CAD) applications in agriculture and environmental science. Essentials of CAD software to create drawings of components, systems, flow charts, and process diagrams. Applications in mechanical, structural, and biosystems. 2-D applications with limited exposure to 3-D applications. Computer intensive course. Hands-on experience.
Contact Hour Distribution: Two 2-hour labs.
Credit Restriction: Students cannot receive credit for both 414 and 514.
Registration Restriction(s): Minimum student level - graduate.
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BSET 534 - Production Monitoring and Automation 3 Credit Hours
Precision technologies for monitoring and control of agricultural systems. Applications include: yield monitoring, variable rate control and sensing systems for planters, sprayers, soil applied nutrients, water management, crop health, and pest pressure; electronic information transfer; and GPS-based vehicle guidance.
Contact Hour Distribution: 2 hours and 1 lab.
Credit Restriction: Students cannot receive credit for both 434 and 534.
Registration Restriction(s): Minimum student level - graduate.
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BSET 562 - Selected Topics in Biosystems Engineering Technology 1-3 Credit Hours
Lecture/group discussion on specialized topics.
Repeatability: May be repeated. Maximum 6 hours.
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BSET 574 - Environmental Instrumentation and Monitoring 3 Credit Hours
Equipment and techniques commonly used to measure all aspects of hydrologic cycle: precipitation, runoff, streamflow, subsurface water movement. Sampling of all flows for contaminants. Design of monitoring systems. Analysis of data.
Contact Hour Distribution: 2 hours and 1 lab.
Credit Restriction: Students cannot receive credit for both 474 and 574.
(RE) Corequisite(s): BSET 506.
Recommended Background: Hydrology.
Registration Restriction(s): Minimum student level - graduate.
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Business Administration (BUAD) |
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BUAD 515 - Business Skills Development 1.5 Credit Hours
First of four courses designed to build skills that MBAs need to successfully apply knowledge in the business world. Students will complete initial skills assessments in information technology, communications and team-building as well as prepare initial drafts of career development materials.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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BUAD 516 - Business Skills Development II 1.5 Credit Hours
Second of four courses designed to build skills that MBAs need to successfully apply knowledge in the business world. Continuation of communications, team-building, and information technology skills. Emphasis on business communication, career development, networking and working in teams.
(DE) Prerequisite(s): 515.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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BUAD 517 - Business Skills Development III 1.5 Credit Hours
Third of four courses designed to build skills that MBAs need to successfully apply knowledge in the business world. Continuation of presentation and team management skills. Focus on database skills and information technology.
(DE) Prerequisite(s): 516.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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BUAD 518 - Innovation in Practice 1.5 Credit Hours
Fourth of four courses designed to build skills that MBAs need to successfully apply knowledge in the business world. An applied learning experience for student teams to solve challenges faced by organizations. Topics include a statement of work, innovative problem solving, consulting practices, business planning, transformational change leadership, project management and messaging.
(DE) Prerequisite(s): 517.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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BUAD 521 - Business Core for Master of Accountancy I 3 Credit Hours
Topics in business having relevance to Master of Accountancy students. Topics vary to reflect current needs of the accounting profession. Sequence (521-522-523) culminates with a business simulation.
Registration Restriction(s): Master of Accountancy – accounting major.
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BUAD 522 - Business Core for Master of Accountancy II 3 Credit Hours
Topics in business having relevance to Master of Accountancy students. Topics vary to reflect current needs of the accounting profession. Sequence (521-522-523) culminates with a business simulation.
Registration Restriction(s): Master of Accountancy – accounting major.
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BUAD 523 - Business Core for Master of Accountancy III 3 Credit Hours
Topics in business having relevance to Master of Accountancy students. Topics vary to reflect current needs of the accounting profession. Sequence (521-522-523) culminates with a business simulation.
Registration Restriction(s): Master of Accountancy – accounting major.
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BUAD 540 - Academic Writing for Doctoral Students 1 Credit Hours
Principles and practices of academic writing for publication. Students will analyze student and professional writing at the diction and syntax level while developing personal strategies for writing and revision based on target audience.
Grading Restriction: Satisfactory/No Credit grading only.
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BUAD 551 - Executive Core I 1-12 Credit Hours
Integrated course with substantial reading, study and analyses during off-site periods. Integration of major business functions through strategic and business process perspective. Application of functional knowledge to tactical and strategic issues. Development of purpose of firm as delivering value to customers and other stakeholders. Ethical issues. Financial and accounting principles. Economic and regulatory environment of business. Human resource and organizational behavior topics in context of business systems and objectives. Personal development for leadership: individual personal skills of communication, negotiation, leadership and motivation. Customer value and systems management. Case simulations and exercises.
Repeatability: May be repeated. Maximum 12 hours.
Comment(s): Executive MBA admission required. Load of less than 12 hours available only by prearrangement with supervising faculty member. Consent of program director required for course enrollment of less than 12 hours.
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BUAD 552 - Executive Core II 1-12 Credit Hours
Continuation of 551. Financial and accounting principles. Application of functional knowledge to tactical and strategic issues. Economic and regulatory environment of business. Human resource and organizational behavior topics in context of business systems and objectives. Personal development for leadership. Systems management. Strategic management issues at functional business unit and corporate level. Executive format includes international study.
Repeatability: May be repeated. Maximum 12 hours.
(DE) Prerequisite(s): 551.
Comment(s): Executive MBA admission required or by permission of instructor. Load of less than 12 hours available only by prearrangement with supervising faculty member. Consent of program director required for course enrollment of less than 12 hours.
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BUAD 553 - Executive Core III 1-12 Credit Hours
Continuation of 552. Financial and accounting principles. Application of functional knowledge to tactical and strategic issues. Case simulations and exercises. Human resource and organizational behavior topics in context of business systems and objectives. Personal development for leadership. Systems management. Strategic management issues at functional business unit and corporate level. Executive format includes international study.
Repeatability: May be repeated. Maximum 12 hours.
(DE) Prerequisite(s): 552.
Comment(s): Executive MBA admission required or by permission of instructor. Load of less than 12 hours available only by prearrangement with supervising faculty member. Consent of program director required for course enrollment of less than 12 hours.
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BUAD 561 - Management Project I 3 Credit Hours
Company project. Preliminary investigation of significant strategic issue (new initiative, program or significant organizational change to enhance organizational effectiveness) in sponsoring organization. Work within firm under guidance of faculty to develop proposal which defines issue and scope of project. Proposal to be approved by company and faculty.
(DE) Corequisite(s): 551.
Comment(s): Executive MBA admission and cooperation of sponsoring organization required.
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BUAD 562 - Management Project II 3 Credit Hours
Company project. Continuation of 561. Diagnosis and analysis of strategic issue. Work within firm under guidance of faculty member.
(DE) Prerequisite(s): 561.
(DE) Corequisite(s): 552.
Comment(s): Or by permission of instructor.
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BUAD 563 - Management Project III 3 Credit Hours
Company project. Continuation of 562. Completion of analysis and presentation of report to senior management in sponsoring organization. Work within firm under guidance of faculty member.
(DE) Prerequisite(s): 562.
(DE) Corequisite(s): 553.
Comment(s): Or by permission of instructor.
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BUAD 591 - Global Business Seminar 2 Credit Hours
Designed to familiarize MBA students with content needed to manage in a global business environment. Students will complete in-class coursework on key aspects of international business and related projects and assignments. Taught in conjunction with BUAD 592, where students have the opportunity to apply their knowledge through an international travel experience.
(RE) Corequisite(s): 592.
Comment(s): Requires admission to MBA program or consent of MBA Program Director.
Registration Restriction(s): Requires admission to MBA program or consent of MBA Program Director.
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BUAD 592 - Global Business Travel 1 Credit Hours
Provides MBA students with the opportunity to apply their knowledge of global business through an international travel experience. Students will complete assignments on key aspects of international business as well as attend an international travel seminar.
Registration Restriction(s): Requires admission to MBA program or consent of MBA Program Director.
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BUAD 593 - Directed Independent Study 3 Credit Hours
Cross-disciplinary topic of mutual interest to student and faculty.
Grading Restriction: Satisfactory/No Credit or letter grade.
Repeatability: May be repeated. Maximum 6 hours.
Comment(s): Available only by prearrangement with supervising faculty member. May require approval of Director of the MBA program.
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BUAD 610 - Teaching Preparation Seminar 2 Credit Hours
Provides initial teacher education training to Haslam College of Business PhD students to better enable them to prepare and manage a new course, manage a classroom, facilitate student learning, evaluate students and themselves, and know how to handle challenging issues related to teaching. Possessing the knowledge will enhance instructor confidence and the ability to provide a successful learning environment.
Registration Restriction(s): Minimum student level – graduate.
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BUAD 699 - Special Topics 3 Credit Hours
Seminars that integrate content from various business functions: international business, management information systems.
Registration Restriction(s): Minimum student level – graduate.
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Business Analytics (BZAN) |
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BZAN 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used to meet degree requirements for the Business Analytics major.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 505 - Operations Management 1.5 Credit Hours
Principles and techniques for managing operations in a supply chain. Emphasis on process improvement techniques such as lean thinking and the theory of constraints using hands-on simulations.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration or Master of Science – Business Analytics major admission. Minimum student level – graduate.
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BZAN 506 - Prescriptive Modeling 1.5 Credit Hours
Principles and methodology for prescriptive modeling including optimization techniques and advanced decision models and analysis.
(DE) Prerequisite(s): 505.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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BZAN 520 - Operations and Lean Supply Chain Management 3 Credit Hours
Systems thinking and its application in operations, using constraint management techniques to build and manage lean supply chains with emphasis on applications in operations, project management and distribution/replenishment, modeling and analyzing real-world systems using the “Thinking Process”.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Business Analytics major, Dual MS-MBA Program, Business Analytics major, or Master of Business Administration—Business Analytics concentration. Minimum student level - graduate.
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BZAN 521 - Leveraging Information Through Descriptive and Prescriptive Modeling 3 Credit Hours
Concepts and tools for emulating business operations (descriptive modeling) and for determining optimal operational or tactical strategies (prescriptive modeling). Visualization, optimization, and simulation concepts reinforced through hands-on experience with technologies: geographic information systems (GIS), spreadsheet-based models, simulation packages, and supply chain optimization software.
Credit Restriction: May not be used to meet degree requirements for the Business Analytics major.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 522 - Business Cases in Data Mining 3 Credit Hours
Application of analytic tools in the context of business problems. Data management, exploratory data analysis and visualization, predictive modeling, design of experiments, segmentation and clustering, text mining. Use of computing software.
Credit Restriction: May not be used to meet degree requirements for the Business Analytics major.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 530 - Business Skills Development 1.5 Credit Hours
Designed to build skills that MSBAs need to successfully apply knowledge in the business world. Business communications and career development.
Registration Restriction(s): Master of Science - Business Analytics major. Minimum student level – graduate.
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BZAN 531 - Decision Optimization 3 Credit Hours
Linear programming decision models, solutions, sensitivity analysis, linear and integer optimization models, transportation and selected network flow models, along with application issues of these models, introduction to a mathematical programming language and standard optimization software.
Recommended Background: Fundamentals of matrix algebra course.
Registration Restriction(s): Master of Science – Business Analytics major; Dual MS-MBA Program, Business Analytics major; or Master of Business Administration – Business Analytics concentration. Minimum student level – graduate.
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BZAN 533 - Quantitative Methods for Business Analytics 5 Credit Hours
Probability, conditional probability and Bayes’ rules, univariate and multivariate probability models and random variables, review of basic calculus, maximum likelihood estimation and inference including confidence intervals and hypothesis testing. Common sampling distributions: t, Chi-square, and F. Introduction to Monte Carlo simulation and bootstrapping. Mathematical methods for statistical modeling using matrix algebra. Extensive use of statistical programming languages.
Recommended Background: Basic calculus.
Registration Restriction(s): Master of Science – Business Analytics major, or Dual MS-MBA Program, Business Analytics major. Minimum student level – graduate.
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BZAN 535 - Statistical Methods for Business 3 Credit Hours
Data collection strategies including simple design of experiments. Structured querying language. Descriptive statistics. Estimation and hypothesis testing. Importance of assumptions. Quantile plots and goodness of fit. Prediction intervals. ANOVA, linear regression, chi-square tests for categorical data, logistic regression. Use of statistical and database software.
Registration Restriction(s): Master of Science – Business Analytics major; Dual MS-MBA Program, Business Analytics major; or Master of Business Administration – Business Analytics concentration. Minimum student level – graduate.
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BZAN 540 - Applied Regression Analysis for Business 3 Credit Hours
Matrix approach to multiple linear regression. Normal equations, interaction and confounding, use of dummy variables, model selection. Leverage, influence and collinearity. Autocorrelated errors. Logistic regression, maximum likelihood estimation, analysis of deviance, retrospective studies. Tree based models for discrete and continuous outcomes. Robust regression, and weighted least squares. Applications involving predictive modeling for credit risk and customer acquisition. Case studies from accounting, finance, and marketing.
(RE) Prerequisite(s): 535 and matrix algebra.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 542 - Data Mining Methods for Business Applications 3 Credit Hours
Understanding and application of data mining methods. Data preparation; exploratory data analysis and visualization; cluster analysis; logistic regression; decision trees; neural networks; association rules; model assessment; and other topics. Applications to business problems. Use of standard computer packages.
(RE) Prerequisite(s): 535.
Comment(s): Or permission of instructor.
Registration Restriction(s): Master of Science – Business Analytics major or Dual MS-MBA Program, Business Analytics major or PhD, Management Science major. Minimum student level – graduate.
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BZAN 543 - Enterprise Data Management for Business Analytics 1.5 Credit Hours
Focuses on software to manage and manipulate large data sets in preparation for analysis, using the SAS data step, PROC SQL, and the SAS macro language. Brief attention will be given to other SQL tools.
(RE) Prerequisite(s): 535.
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BZAN 544 - Decision Support Systems for Business Analytics 1.5 Credit Hours
Building integrated analytic models with graphical user interfaces to support business decision-making processes using Python and the VBA structured programming language.
(RE) Prerequisite(s): 535.
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BZAN 545 - Database and Big Data Technologies 3 Credit Hours
Focuses on current technologies used to manage and implement analytics in big data environments. After a basic introduction to the Linux operating system, students will be exposed to a range of important database and data warehouse technologies and learn to interact with them using scripting languages such as python, R, and SQL. Topics will reflect currently important technologies, and may include an extensive discussion of relational and non-relational databases including graph, columnar, and document databases and data warehouse appliances. In addition, the map-reduce paradigm and distributed computing platforms such as Apache Hadoop, and Spark will be introduced. Students will also be exposed to implementations of the technology in cloud computing environments.
(RE) Prerequisite(s): 535.
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BZAN 546 - Simulation Modeling 1.5 Credit Hours
Monte Carlo and discrete-event simulation models for business decision-making, simulation of business processes, random variables and random number generators, input and output data analysis.
(RE) Prerequisite(s): 535.
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BZAN 548 - Time Series Forecasting 1.5 Credit Hours
Forecasting with Box-Jenkins Autoregressive Integrated Moving Average (ARIMA) models. Topics include model identification, model validation, seasonal models and intervention effects.
(RE) Prerequisite(s): 535.
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BZAN 550 - Business Analytics Experience 3 Credit Hours
Application of the principles of analytics through a team-based, experiential project. Students work on a real-world business problem through the stages of problem identification, data acquisition and preparation, analysis, determination of recommendations, and presentation of findings.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Master of Science – Business Analytics major, or Dual MS-MBA Program, Business Analytics major. Minimum student level - graduate.
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BZAN 552 - Multivariate and Data Mining Techniques 3 Credit Hours
Multivariate normal distribution, data visualization, handling missing data, dimension reduction techniques, supervised learning, clustering, outlier detection, including a team-based project and common data mining software.
Cross-listed: (Same as Statistics 576.)
(RE) Prerequisite(s): 540 and 542.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
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BZAN 553 - Design of Experiments 3 Credit Hours
Design principles: randomization, replication, and blocking. Split unit designs. Optimal design. Orthogonal arrays, fractional factorials and response surface methodology. Conjoint analysis. Experimentation in business applications emphasized.
Cross-listed: (Same as Statistics 573.)
(RE) Prerequisite(s): 540 or Statistics 538 or permission of instructor.
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BZAN 554 - Customer Analytics 3 Credit Hours
Introduction to predictive modeling for customer relationship management using data mining and supervised machine learning techniques with applications such as acquisition, up-sell, cross-sell, churn and customer lifetime value.
(RE) Prerequisite(s): 542.
Recommended Background: Experience with a programming language such as R or with data mining.
Comment(s): Or permission of instructor.
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BZAN 556 - Systems Optimization 3 Credit Hours
Team-based Business Analytics case analyses through the discovery, problem definition, data acquisition, data cleaning, modeling, model interpretation, recommendation, implementation and maintenance phases of business process modeling.
(RE) Prerequisite(s): 531.
Comment(s): Prior knowledge may satisfy prerequisite with consent of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 583 - Special Topics in Business Analytics 1-3 Credit Hours
Repeatability: May be repeated. Maximum 9 hours.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 593 - Independent Study 1-3 Credit Hours
Faculty directed readings and investigation of specified topic in analytics. Written report and oral presentation required.
Grading Restriction: Satisfactory/No Credit or letter grade.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Minimum student level – graduate.
Registration Permission: Consent of a departmental director of graduate studies.
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BZAN 610 - Probability and Stochastic Processes 3 Credit Hours
Foundation in the theory and application of probability and random, time-dependent processes for analyzing system behavior, moment generating functions and Laplace transforms, the Poisson process and exponential distribution, Markov chains and Markov processes for modeling time-dependent behavior, queueing theory.
Cross-listed: (Same as Statistics 610.)
Recommended Background: Two undergraduate courses in Calculus for mathematical sophistication, an undergraduate course in Statistics or consent of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 615 - Statistical Inference 3 Credit Hours
Univariate and multivariate distributions, transformations, inequalities, convergence. Likelihood and the MLE for various models, Fisher information matrix, asymptotic results. Hypothesis testing. Wald, score, likelihood ratio and randomization tests. Interval estimation. The bootstrap. Simultaneous inference. Lifetime distributions, censoring. Biased sampling.
Cross-listed: (Same as Statistics 615.)
(RE) Prerequisite(s): Statistics 563.
Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 620 - Prescriptive Analytics 3 Credit Hours
Identification and formulation of linear, discrete, non-linear and recursive optimization models. Basic theory of feasible regions and optimal solutions. Exposure to exact and approximate solution methods.
Recommended Background: Two undergraduate courses in calculus and matrix algebra.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 625 - Bayesian Modeling and Computations 3 Credit Hours
Bayes theorem, prior and posterior distributions, inference methods such as posterior means and HPD regions, Monte Carlo inference including Gibbs sampling, the Metropolis-Hastings algorithm, and importance sampling. Bayesian analysis of linear and non-linear regression models, model selection using Bayes factors. Predictive inference based on posterior distributions, and selected applications drawn from business and scientific settings.
Cross-listed: (Same as Statistics 625.)
(RE) Prerequisite(s): 615 or Statistics 615.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 630 - Decision and Operations Analytics 3 Credit Hours
Decision making from a systems perspective, asking the right question for business analytics problems, root-cause analysis and conflict resolution, constraint management in manufacturing and project execution, analytical and simulation models for process modeling and evaluation, value of information in managing demand and supply systems, models for capacity planning and inventory management in supply chains.
Recommended Background: Two undergraduate courses in calculus, graduate introductory course in probability & stochastic processes.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 640 - Advanced Prescriptive Analytics 3 Credit Hours
Prescriptive analytics based on convex, large-scale, and stochastic optimization. Polyhedral theory, decomposition, projection, mathematical treatment of simplex algorithm, primal and primal-dual interior point methods, convex programming, goal programming, introduction to stochastic programming.
(RE) Prerequisite(s): 610 and 620.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 641 - Advanced Stochastic Analytics 3 Credit Hours
The analysis and modeling of stochastic processes and Markov decision processes. Topics include renewal processes, Brownian motion, martingales, Markov decision processes and their solution using policy iteration methods and dynamic programming. Applications to queueing, inventory, scheduling, and financial decision models.
(RE) Prerequisite(s): 610 and 620.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 642 - Advanced Topics in Supply Chain Analytics 3 Credit Hours
Supply chain network design models including facility location and capacity allocation, warehousing and transportation, aggregate planning, matching demand with supply, inventory modeling under deterministic and uncertain scenarios, multi-echelon and risk-pooling models, price optimization, value of information in managing demand and supply systems, role of operations flexibility, role of coordination and effective contracting on supply chain performance.
(RE) Prerequisite(s): 610, 620, and 630.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 645 - Advanced Topics in Data Mining 3 Credit Hours
Selected topics in data mining. Read and critique current literature. Solve research problems motivated by real applications.
Cross-listed: (Same as Statistics 645.)
Repeatability: May be repeated. Maximum 6 hours.
(RE) Prerequisite(s): 552.
Recommended Background: knowledge of programming language or consent of instructor.
Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 646 - Modern Multivariate Techniques 3 Credit Hours
An overview of Random Vectors and Matrices, Matrix Norms, Eigen-analysis and condition numbers. Multivariate normal distribution, Advances in Principal Component Analysis, Advances in Partial Least Squares, Factor Analysis, Canonical Correlation Analysis, Discriminant Analysis and Cluster Analysis, Sliced Inverse Regression and related methods.
(RE) Prerequisite(s): 552.
Recommended Background: two undergraduate courses in Calculus and Matrix Algebra.
Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 647 - Customer Analytics 3 Credit Hours
Advanced data mining and machine learning with applications in areas such as acquisition modeling, up-sell modeling, cross-sell modeling, churn modeling, and customer lifetime modeling. Topics will include regularized logistic regression, decision trees, neural networks, random forests, advanced performance measures, and bias-variance tradeoffs.
Comment(s): Students are expected to have had previous experience with programming in R, or with machine learning and data mining.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 648 - Advanced Topics in Design of Experiments and Linear Models 3 Credit Hours
Current topics in design of experiments and linear models, enabling students to understand and critique the literature and to utilize this literature in challenging applications.
Cross-listed: (Same as Statistics 648.)
(RE) Prerequisite(s): 553.
Comment(s): Or permission of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 649 - Observational Studies and Causal Models in Business Analytics 3 Credit Hours
Will explore methods to make valid inferences from data that is collected without a formal randomized design. Econometric methods such as propensity scores, difference in difference estimators, selection models, and instrumental variables methods will be explored as well as specialized methods for panel data. Applications in marketing, accounting and finance will be highlighted.
(RE) Prerequisite(s): Economics 682.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 650 - Integrative Business Analytics Seminar 3 Credit Hours
Faculty works with the students on a select topic of importance to industry.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 671 - Independent Study 3 Credit Hours
Directed research on subject of mutual interest to student and faculty member.
Cross-listed: (Same as Statistics 671.)
Registration Restriction(s): Minimum student level – graduate.
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BZAN 683 - Special Topics in Business Analytics 1-6 Credit Hours
Presentation of specialized analytics topics.
Repeatability: May be repeated. Maximum 6 hours.
(RE) Prerequisite(s): 553.
Comment(s): Or consent of instructor.
Registration Restriction(s): Minimum student level – graduate.
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BZAN 691 - Research Apprenticeship 3 Credit Hours
Student works with faculty member on a selected research topic.
Registration Restriction(s): Minimum student level – graduate.
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Business Law (BULW) |
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BULW 505 - Foundations of Business Law and Ethics 1.5 Credit Hours
Provides an overview of fundamental concepts of law and business ethics. Topics include a basic knowledge of domestic and global legal and ethical environments; legal forms of business organization; essential concepts of tort, contract, and property law; specific federal regulatory agencies; and aspects of employment law.
Comment(s): Or consent of instructor.
Registration Restriction(s): Master of Business Administration admission. Minimum student level – graduate.
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Chemical and Biomolecular Engineering (CBE) |
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CBE 425 - Chemical and Biomolecular Process Economics 3 Credit Hours
Concepts and methods of cost estimating, debt and equity financing, discounted cash flow methods, and estimation of product manufacturing costs. Includes case studies and the use of computer methods for financial and sensitivity analysis.
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CBE 483 - Introduction to Reliability Engineering 3 Credit Hours
Cross-listed: (See Industrial Engineering 483.)
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CBE 484 - Introduction to Maintainability Engineering 3 Credit Hours
Cross-listed: (See Industrial Engineering 484.)
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CBE 500 - Thesis 1-15 Credit Hours
Grading Restriction: P/NP only.
Repeatability: May be repeated.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
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CBE 501 - Graduate Seminar 1 Credit Hours
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated. Maximum 20 hours.
Credit Restriction: A maximum of 6 hours combined between 501 and 503 can be applied toward a graduate degree in Chemical and Biomolecular Engineering.
Comment(s): Enrollment is limited to students admitted to the graduate program.
Registration Restriction(s): Minimum student level – graduate.
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CBE 502 - Registration for Use of Facilities 1-15 Credit Hours
Required for the student not otherwise registered during any semester when student uses university facilities and/or faculty time before degree is completed.
Grading Restriction: Satisfactory/No Credit grading only.
Repeatability: May be repeated.
Credit Restriction: May not be used toward degree requirements.
Credit Level Restriction: Graduate credit only.
Registration Restriction(s): Minimum student level – graduate.
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CBE 506 - Advanced Engineering Mathematics 3 Credit Hours
Formulation and solution of problems in chemical engineering and materials areas, ordinary and partial differential equations; types of ODE, PDE and solution techniques; transform methods; conformal mapping; variational methods; introduction to numerical methods.
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