Applications of machine learning tools to real-world problems in biomedical engineering including diagnostic and prognostic applications. An introduction to machine learning. Machine learning tools: regression and classification; manifold learning and dimensional reduction; decision trees and ensemble learning; unsupervised learning and clustering; feature selection and feature extraction; neural networks and deep learning. Biomedical applications: cancer, cardiovascular disease, diabetes, neurological diseases and infectious diseases. Credit cannot be obtained for both BME 477 and BME 677.

Neuroimaging has developed rapidly in recent years, and has had a profound effect on how we understand the human brain. This advanced course is aimed to provide graduate students and senior undergraduate students a comprehensive overview of the neuroimaging techniques (structural and functional magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), MRI spectroscopy (MRS) etc) currently used in neuroscience research. In addition, we will discuss how neuroimaging methods can advance our understanding of healthy brain function and neuropsychiatric disorders. Prerequisite: Consent of Instructor.

This course will give an overview of the stem cell biology and biomedical applications. Topics will include biological aspects of stem cells, environmental factors and signals that are implicated in regulating stem cell fate, the practical use of stem cells for tissue engineering and cellular therapies. The course will highlight techniques for engineering of stem cells and their micro-environments. The ethical, legal, and regulatory issues that accompany current and emerging stem cell engineering applications will be also discussed. This course is designed for upper undergraduates and graduate students with a strong interest in stem cell biology and stem cell engineering, and the desire to actively contribute to discussions in the class. Pre-requisites: BME 320 or consent of instructor.

Introduction to basic physical and technological aspects of medical imaging. Emphasis on computed transmission and emission tomography, magnetic resonance, and ultrasound imaging. These methods are developed and contrasted in terms of how imaging information is generated, detected, and processed and how different hardware configurations and other factors limit image quality. Relative diagnostic potential of the imaging methods is also discussed in relation to future prospects of each method.

An advanced course for graduate students in Neuroscience and Biomedical Engineering that covers the cellular and systems level changes in sensorimotor and pain pathways in response to motor training and/or trauma to the nervous system. A background on experimental techniques and mechanisms of neuronal plasticity from key studies in cortical, spinal and dorsal horn systems will be provided. Students are expected to write and present on current topics in the field of motor and pain neuroplasticity. Students should have a basic background in neurophysiology. Prerequisites: PMCOL 371 and PHYSL 372 or equivalents or consent of instructor.

Individual sections covering such topics as signal processing and rehabilitation engineering. Prerequisite: consent of Instructor.

An interdisciplinary course introducing students to the process of biomedical technology development and entrepreneurship. The course covers key elements of early-stage product development, regulatory frameworks, intellectual property, market analysis, fundraising, commercialization strategies, and ethical considerations in biomedical innovation. Emphasis is placed on entrepreneurial thinking, innovation strategy, ethics, and career development within the biomedical sector.

Introduction to rehabilitation techniques for assisting individuals with physical disabilities to reach, stand and walk. Biomechanics of intact and pathological movements and the use of assistive devices such as exoskeletal orthotics, neuroprosthetic devices and locomotor training are emphasized. Students are exposed to the concepts of biomechanical modeling, motion analysis, electrical stimulation, control systems, neuroregeneration, and pharmacology. Prerequisite: BME 320 and 321 or consent of Instructor.

Designed for graduate and advanced undergraduate students requiring a thorough grounding in the fundamentals of imaging by means of nuclear magnetic resonance, NMR. Topics include the principles of NMR as applied to imaging, image processing, imaging techniques for achieving specific types of contrast, image artefacts, and typical applications. Prerequisite: Consent of instructor.

Mechanisms of interfacing with and modulating the central nervous system that define the characteristics of bionic devices. Topics include invasive and non-invasive neural interfaces and using neuromodulation as a tool for restoring sensory and motor functions.

Series of seminars exposing graduate students to the various areas of research and providing a forum for progress reports in individual areas. Seminars by research workers from inside and outside the University are included. Seminars are informal with ample opportunity for discussion.

Series of seminars exposing graduate students to the various areas of research and providing a forum for progress reports in individual areas. Seminars by research workers from inside and outside the University are included. Seminars are informal with ample opportunity for discussion.

Series of seminars exposing graduate students to the various areas of research and providing a forum for progress reports in individual areas. Seminars by research workers from inside and outside the University are included. Seminars are informal with ample opportunity for discussion.

Application and design of instrumentation systems applied to living tissue or biological systems. Transduction principles, sensors, detectors, electronic signal conditioning and processing techniques, electrical safety for medical instrumentation, error analysis. Various sensors will be examined such as displacement, resistive, inductive, capacitive, piezoelectric, temperature, and optical. Actuators incorporated into medical devices will be examined.

An introduction to design and development of bioinformatics algorithms and their applications in bioinformatics. Topics may include algorithms for sequence comparison/alignment, large-scale biological database search, evolutionary tree reconstruction, and identification of important features in nucleic acid and protein sequences and underlying computational techniques. Credit cannot be obtained for both BME 415 and BME 615.

Description: An introduction to topics and tools in structure-based and ligand-based in silico drug design such as molecular dynamics, virtual screening, receptor-drug interactions, and pharmacophore modeling. Holistic view of drug discovery including topics such as pharmacokinetics and systems biology, Artificial Intelligence's role in drug discovery and an introduction to precision medicine.

Fundamental levels of organization of the human body. Anatomical systems including circulatory, respiratory, digestive, urinary, nervous, endocrine, and musculoskeletal systems will be examined. Structure and functional relationships in anatomy and physiology. The course will concentrate on the systems level of anatomy, introducing cellular-and tissue- level concepts when required to complete understanding of how the organ system works. Emphasis will be on how engineering concepts can be applied to the machinery of the human body.

Prerequisite: consent of Department.

Prerequisite: consent of Department.

Prerequisite: consent of Department.

Design methodology; recognizing and defining open-ended biomedical engineering problems, problem definition, concept generation, project planning, modelling, analysis, decision making, design synthesis, prototyping and testing. Topics may include identifying market needs, idea generation, biologically inspired design, human factors related to design, regulatory issues, intellectual property protection, clinical trials, and commercialization considerations.

Introduction to the fundamental principles of experimental design, hypothesis formulation, data collection, statistical analysis, literature search and review, developing a research plan, and scientific communications and reporting applied to bioengineering research. Introduction to the ethical issues encountered in biomedical research with human and animal subjects including informed consent, confidentiality, privacy, and research ethics boards.

Applications of machine learning tools to real-world problems in biomedical engineering including diagnostic and prognostic applications. An introduction to machine learning. Machine learning tools: regression and classification; manifold learning and dimensional reduction; decision trees and ensemble learning; unsupervised learning and clustering; feature selection and feature extraction; neural networks and deep learning. Biomedical applications: cancer, cardiovascular disease, diabetes, neurological diseases and infectious diseases.

Structure and functional behaviour of tissues in the musculoskeletal and cardiovascular systems. Mechanical characterization of tissues using elastic and viscoelastic models. Topics of continuum mechanics, statics, and dynamics as applied to physiological systems and biological tissues.

Directed capstone project in an area of interest, supervised by a project advisor or faculty member. Development of a project proposal. Projects may involve experimental, analytical, or computational techniques. A final written report and oral presentation are required.

Directed capstone project in an area of interest, supervised by a project advisor or faculty member. Development of a project proposal. Projects may involve experimental, analytical, or computational techniques. A final written report and oral presentation are required.

Directed capstone project in an area of interest, supervised by a project advisor or faculty member. Development of a project proposal. Projects may involve experimental, analytical, or computational techniques. A final written report and oral presentation are required.

An overview of the diversity and biology of organisms traditionally included in the Plant Kingdom (algae, fungi, lichens, mosses, ferns, gymnosperms and flowering plants). Emphasis throughout the course is on the relationship between structural and functional innovations in plants and how these have influenced their reproduction and evolution in various ecosystems. Symbioses and co-evolutionary relationships between or among different kinds of plants, and with other groups of organisms, are also considered. Prerequisite: BIOL 108 or SCI 100. Credit cannot be obtained for both BOT 205 and PL SC 221.

The generation of a functional plant requires the spatially coordinated acquisition of numerous cell identities. Examines developmental processes in plants at the molecular and cellular level and will cover: body axis establishment and tissue pattern formation during embryogenesis, cell-to-cell communication in patterning events and differentiation processes, and cell differentiation patterns in tissue systems. Emphasis throughout the course will be on current research using developmental mutants. Prerequisites: BIOL 201 and 207; one of BOT 205 or 340 strongly recommended.

The Kingdom Fungi, including yeasts, molds, mushrooms, rusts, smuts, mildews, and lichen forming fungi, is one of the most diverse groups of living organisms and plays important roles in nutrient cycling in ecosystems, pathogenesis in plants and animals, and industrial processes. This course offers a systematic overview of the morphology and ecology of fungi and the relevance of these organisms to human affairs. Laboratories offer a selection of fungi for detailed study and permit students to develop and identify pure cultures of fungi from soil, wood and other materials. Prerequisites: BIOL 108 or SCI 100 and a 200-level Biological Sciences course. BOT 205 recommended. This course requires payment of additional student instructional support fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

Seed plant structure and development with particular emphasis on flowering plants. The course covers origin, development, and function of meristems (apical, primary, and lateral), tissue and organ development, wood structure and identification, floral anatomy, embryogenesis, and fruit structure. Prerequisites: BIOL 108 or SCI 100. BOT 205 recommended. Offered in alternate years.

Bryophytes (hornworts, liverworts and mosses) form a unique group of basal land plants that are pivotal for understanding evolution of life in terrestrial environments. This course covers the evolution, systematics and ecological diversity of bryophytes of the world, using morphological, molecular and developmental data. Prerequisite: BIOL 108 or SCI 100 and a 200-level Biology course (BOT 205 recommended). Offered in alternate years. This course requires payment of additional miscellaneous fees. Refer to the Fees Payment Guide in the University Regulations and Information for Students section of the Calendar.

Approaches to the classification and evolution of seed plants with emphasis on flowering plants. The diversity and relationships of seed plants are examined from a phylogenetic perspective. Topics include practical and theoretical aspects of species description, nomenclature and phylogeny interpretation, with a focus on the characteristics and significance of the major plant families in Alberta and from around the world. Prerequisite: BIOL 108 or SCI 100. BOT 205 recommended.

Lectures, laboratory, and field exercises provide an introduction to description and identification of plants and their local habitats. Factors affecting variation in natural vegetation and methods used to describe it are discussed. Field exercises and projects take place during the two weeks preceding the fall term and some may take place off campus. Presentations take place during the first four weeks of class time in September. Prerequisites: BIOL 108 or SCI 100 and any 200-level Biology course. (BOT 321 is strongly recommended). May not be taken for credit if credit already obtained in BOT 304. Offered in alternate years. This course requires payment of additional miscellaneous fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

The remarkable biodiversity of algae provides the foundation for most aquatic ecosystems around the world. This course emphasizes the evolution, taxonomy, and ecology of major groups of algae to illustrate relationships between their form and function in pristine and polluted environments. Laboratories will focus on the taxonomic diversity of algae through the use of field surveys of local streams and lakes, and experiments using our extensive algal culture collection. Prerequisite: 200-level Biology course. Both BOT 205 and BIOL 208 recommended.

Study of the ecological factors that affect plants at different organizational scales, from the individual to the global level. Particular emphasis on understanding common patterns and dynamics, theoretical concepts, and examples of how insights can be applied to practice, such as in agriculture or conservation. Introduction to common methodological approaches in plant ecology, including manipulative growth experiments and vegetation surveys. The course fosters critical thinking, scientific communication, intellectual creativity, and active participation by students. Prerequisites: BIOL 208, and STAT 151 or SCI 151. Credit cannot be obtained for both BOT 332 and 532. Offered in alternate years. This course requires payment of additional miscellaneous fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

This course explores how plants function. Topics include water transport and the soil-plant-atmosphere continuum, photosynthesis and carbon resource utilization, nitrogen nutrition and symbioses, photosensing, and responses to environmental stresses such as attack by pests and pathogens. Laboratories introduce both classical and contemporary methods in plant physiology. Prerequisites: BIOL 107; CHEM 101 or 164 or 261; and a 200-level Biological Sciences course or PL SC 221. Credit cannot be obtained for both BOT 340 and 540. SCI 100 may be used in lieu of BIOL 107 and CHEM 101.

Survey of historical and current use of important drug-producing plants. Evaluation of the chemistry and physiology of biologically active compounds from poisonous, analgesic, and hallucinogenic plants, and the current uses of such plant products. Use of plant biotechnology to develop drug-producing plants. Prerequisite: a 200-level Biological Sciences course or BIOCH 200. BOT 205 recommended.

The fossil record of plants as it relates to the evolutionary history of existing groups. Prerequisite: BOT 205 and a 300-level Biological Sciences course. Offered in alternate years.

Plant responses to their environment are underpinned by myriad molecular events. This course examines the molecular and cellular biology of plant responses to environmental cues, with an emphasis on signalling and regulation of gene expression mediating physiological responses. Topics such as plant cell walls, phytohormone action, photoreceptors, and programmed cell death will be covered. Prerequisite: BOT 382 or GENET 364 or consent of the instructor. BOT 240 or 340 recommended. Credit cannot be obtained for both BOT 445 and BOT 545. Offered in alternate years.

Through a combination of lectures, discussions, and computer-based exercises, skills are taught for the analysis of large-scale molecular data sets (e.g. genomic, transcriptomic, or proteomic data). These analytical skills are applied to recently published studies to derive biologically relevant information about the physiology and development of plants. Prerequisite: GENET 364 or consent of the instructor. Credit cannot be obtained for both BOT 464 and 564. Offered in alternate years.

Study of the ecological factors that affect plants at different organizational scales, from the individual to the global level. Particular emphasis on understanding common patterns and dynamics, theoretical concepts, and examples of how insights can be applied to practice, such as in agriculture or conservation. Introduction to common methodological approaches in plant ecology, including manipulative growth experiments and vegetation surveys. The course fosters critical thinking, scientific communication, intellectual creativity, and active participation by students. Lectures are the same as BOT 332, but with additional assignments and evaluation appropriate to graduate studies. Prerequisites: Consent of department. Prior coursework in ecology and plant biology is recommended. Credit cannot be obtained for both BOT 332 and 532. Offered in alternate years. This course requires payment of additional miscellaneous fees. Refer to the Tuition and Fees page in the University Regulations section of the Calendar.

This course explores how plants function. Topics include water transport and the soil-plant-atmosphere continuum, photosynthesis and carbon resource utilization, nitrogen nutrition and symbioses, photosensing, and responses to environmental stresses such as attack by pests and pathogens. Lectures, assignments and exams are the same as BOT 340 with additional assignments and evaluation appropriate to graduate studies. Normally, BOT 540 students will also participate in the BOT 340 laboratory component. Prerequisite: consent of the instructor. Credit cannot be obtained for both BOT 340 and 540.

Plant responses to their environment are underpinned by myriad molecular events. This course examines the molecular and cellular biology of plant responses to environmental cues, with an emphasis on signalling and regulation of gene expression mediating physiological responses. Topics such as plant cell walls, phytohormone action, photoreceptors, and programmed cell death will be covered. Lectures are the same as for BOT 445, but with additional assignments and evaluation appropriate to graduate studies. Prerequisite: Consent of the instructor. Credit cannot be obtained for both BOT 445 and 545. Offered in alternate years.

Through a combination of lectures, discussions, and computer-based exercises, skills are taught for the analysis of large-scale molecular data sets (e.g. genomic, transcriptomic, or proteomic data). These analytical skills are applied to recently published studies to derive biologically relevant information about the physiology and development of plants. Scheduled classes are the same as for BOT 464, but with additional assignments and evaluation appropriate to graduate studies. Prerequisite: consent of the instructor. Credit cannot be obtained for both BOT 464 and 564. Offered in alternate years.

Credit for this course may be obtained more than once.

Introduction to all major areas of information systems. Technology and file systems, organizational and behavioural issues, data modeling, databases, expert systems, systems analysis, systems development life cycle, etc. Development of analytical skills which can be brought to bear on BTM problems. Notes: Students are expected to have basic familiarity with microcomputer applications (word processing, spreadsheets, personal data base, presentation graphics, personal information manager, email, web browser). The lab component will be taught for up to 10 weeks. Students may not receive credit for both BTM 211 and BTM 311.

Provides students with an understanding of the interaction between decision-making and technology within organizational contexts. Within the context of decision support systems (DSS), focus is on four key components: 1) the technology; 2) the broader context, including the decision-making styles which exist at the organizational, group and individual levels; 3) the design and development of DSS; 4) the effectiveness of DSS to support decision-making processes, including issues of implementation and evaluation. Prerequisite: BTM 311.

Examination of the critical stages of the systems development process. These include the initiation, planning, analysis, design, implementation and maintenance of information systems needed to support business functions in organizations. The concepts of life cycle, requirements definition, analysis and design methods, and computer-assisted software engineering (CASE) tools are presented. Specific modeling techniques such as process models, data models and logic models are examined in detail. Hands-on experience with a high-end CASE tool are provided. Prerequisite: BTM 311.

Application of database concepts in organizations. A comprehensive introduction to the design and development of relational databases from a logical data model. The relational database access language SQL is used along with a number of key-software development tools. Effective data administration techniques for enforcing integrity and security as well as enhancing performance are discussed. Topics of special current interest include data warehousing and the object-oriented data model. Prerequisite: BTM 311. Note: There will be a lab component for up to ten weeks during the term.

An introduction to fundamental concepts required to understand and apply telecommunication technologies within a business environment. Emphasizes the principles of those technologies to familiarize the students with the fundamental concepts and terminology of telecommunications. Telecommunications equipment, networks, protocols and architectures are introduced and discussed regarding their relevance and impact on business-oriented organizations. Also introduces managerial aspects such as planning, design and performance of telecommunication systems. Prerequisite: BTM 311.

An examination of the development of electronic commerce in business across a number of different sectors. Using a process modelling approach, traditional vs. electronic business transactions are discussed in business-to-business and business-to-consumer modes; strategies for e-commerce are developed with a focus on the appropriate technical architecture to support business in an electronic marketplace. In particular, requirements of payment systems, and issues of security and privacy are discussed as key considerations in implementation. The course uses software development tools in the implementation of these electronic commerce strategies. Prerequisite: BTM 311.

Covers the physical design and implementation of computer systems with modern software development tools. Is a continuation of the systems analysis and design topics introduced in BTM 413 and uses the outcomes of the logical systems analysis and design process to create the actual system. Prerequisite: BTM 413. Corequisites: BTM 415 and CMPUT 175, or consent of Department. Note: There will be a lab component for up to 12 weeks during the term. Credit may not be obtained for both BTM 419 and CMPUT 301 or 401.

Examines information system development project management. The system development project is a multi-stage activity involving investigation and analysis, scope definition, resource analysis and estimation, timing estimation, cost estimation, scheduling, monitoring, and implementation. Prerequisite: BTM 311.

Focuses on the major operational activities and tasks that have come to be called business processes. Will identify and categorize key business processes, demonstrate process mapping as a method of business process analysis, and demonstrate process redesign principles as a way to better manage these processes. Will feature the role of IT in process redesign. Prerequisite: BTM 311.

This course focuses on Information System Security from a Managerial point of view. It examines the IT security needs of all business areas. The course covers aspects of threat assessment, policy creation and enforcement, implementation and the hurdles involved, auditing, and forensics. It also looks at the different ways that compromises can occur and how to detect and prevent them from a planning and Disaster Recovery level. A great many real world examples are used as well as exposing the student to current technology that is used in industry. The main focus is from a manager's point of view and teaches planning skills that are important in a field that grows on a daily basis. Prerequisite: BTM 311.

An introduction to the field of computerized accounting information systems in organizations from the perspective of the information system professional. Accounting information systems are typically the foundation for many other information systems in organizations. Concentrates on the design of accounting information systems in organizations and integration of accounting information systems with other functional area and management information systems as well as commonalities in the system development process for accounting and other functional area information systems. Prerequisites: ACCTG 311, 322, BTM 311. Credit may be granted for only one of ACCTG 437 or BTM 437.

Intended as a capstone course to the BTM Major. Issues, opportunities, and problems involved in the management of information system resources in organizations. These include human resource, financial, policies, standards, and strategic alignment concerns relating to the information systems department. The role of the CIO (Chief Information Officer) will be explored as the focal point for the course. Integrative cases of information systems issues in small, medium and large organizations will be discussed. Prerequisites: BTM 311 and a minimum of one 400-level BTM course, or consent of Department. Open only to fourth year students. Credit will be granted for only one of BTM 414 or 441.

Special Study for advanced undergraduates. Prerequisites: consent of Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: BTM 495, consent of the Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: BTM 496, consent of the Instructor and Assistant Dean, Undergraduate Program.

Introduction to all major areas of information systems. Technology and file systems, organizational and behavioral issues, data modeling, databases, expert systems, systems analysis, systems development life cycle, etc. Development of analytical skills which can be brought to bear on BTM problems. Notes: Students are expected to have basic familiarity with microcomputer applications. There will be a lab component during the term.

Provides students with an understanding of the interaction between decision-making and technology within organizational contexts. Within the context of decision support systems (DSS), focus is on four key components: 1) the technology; 2) the broader context, including the decision-making styles which exist at the organizational, group and individual levels; 3) the design and development of DSS; 4) the effectiveness of DSS to support decision-making processes, including issues of implementation and evaluation.

This course examines the critical stages of the systems development process. These include the initiation, planning, analysis, design, implementation and maintenance of information systems needed to support business functions in organizations. The concepts of life cycle, requirements of definition, analysis and design methods, and computer assisted software engineering (CASE) tools are presented. Specific modeling techniques such as process models, data models and logic models are examined in detail. Hands-on experience with a high-end CASE tool is provided.

Application of database concepts in organizations. A comprehensive introduction to the design and development of relational databases from a logical data model. The relational database access language SQL is used along with a number of key software development tools. Effective data administration techniques for enforcing integrity and security as well as enhancing performance are also discussed. Topics of special current interest include data warehousing and the object-oriented data model. Note: The lab component will be taught for ten weeks during the term.

An examination of the development of electronic commerce in business across a number of different sectors. Using a process modelling approach, traditional vs. electronic business transactions are discussed in business-to-business and business-to-consumer modes; strategies for e-commerce are developed with a focus on the appropriate technical architecture to support business in an electronic marketplace. In particular, requirements of payment systems, and issues of security and privacy are discussed as key considerations in implementation. The course uses software development tools in the implementation of these electronic commerce strategies.

Examines information system development project management. The system development project is a multi-stage activity involving investigation and analysis, scope definition, resource analysis and estimation, timing estimation, cost estimation, scheduling, monitoring, and implementation.

Issues, opportunities, and problems involved in the management of information system resources in organizations. These include human resource, financial, policies, standards, and strategic alignment concerns relating to the information systems department. The role of the CIO (Chief Information Officer) will be explored as the focal point for the course. Integrative cases of information systems issues in small, medium and large organizations will be discussed.

Topics may vary from year to year. Students should check with the MBA Office for pre/corequisites of specific sections.

This course provides a general introduction to the major research fields of management information systems (MIS). As an introductory seminar, coverage will include current and historical topics appearing in top information systems journals. Discussions will revolve around the reference disciplines and theories used in the BTM literature. Corequisite: MGTSC 705. Prerequisite: A graduate or undergraduate course in management information systems or equivalent. Open to all doctoral students or with the written permission of the instructor. Approval of the Business PhD Program Director is also required for non-PhD students.

This course will provide an in-depth introduction to a particular methodology or a particular setting that is relevant to research in management information systems. The topic may vary from year to year. Possible topics include applications of optimal control theory in management information systems and operations management, collaborative communication systems, and quantitative models for management information systems. The required background for students will vary depending on the topic. This course may be appropriate for some graduate students in engineering or computing science. Prerequisite: Written permission of the instructor. Approval of the Business PhD Program Director is also required for non-PhD students.

This course deals with model building, multiple regression analysis, and related methods useful in a business environment. Microcomputer software will be utilized throughout the course, with necessary computing skills being taught as the course proceeds. However, students are expected to already possess some basic familiarity with microcomputer applications. Prerequisite: STAT 161 or equivalent. Credit will be granted for only one of MGTSC 212 (formerly MGTSC 312) and STAT 252. Students may not receive credit for both MGTSC 212 and MGTSC 312.

This course is concerned with methods used to predict the uncertain nature of business trends in an effort to help managers make better decisions and plans. Such efforts often involve the study of historical data and manipulation of these data to search for patterns that can be effectively extrapolated to produce forecasts. This is a business statistics course that covers all aspects of business forecasting where the emphasis is on intuitive concepts and applications. Topics covered include the family of exponential smoothing methods, decomposition methods, dynamic regression methods, Box-Jenkins methods and judgmental forecasting methods (e.g. the Delphi method). Because forecasting is best taught through practice, the course contains numerous real, relevant, business oriented case studies and examples that students can use to practice the application of concepts. Prerequisites: MGTSC 312, MGTSC 352 or OM 352.

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: OM 252. Not open to students with previous credit in OM 420.

Visual displays of quantitative information include charts, tables, maps, dashboards, animations, and more. Such displays can be used to understand, to inform, and to convince. This course will focus on strategies for carefully and clearly communicating analytical findings to the people who need to take action based on them. We will learn to use both basic tools (MS Excel) and advanced tools (Tableau and R) to create visual displays. Evaluation components will include assignments, presentations, and exams (midterm and final exam). Prerequisite: BUAN 212. Not open to students with previous credit in OM 421.

Prescriptive analytics involves the use of data, mathematical models, and algorithms to identify optimal solutions for achieving organizational goals. This process builds on descriptive and predictive analytics, going beyond the interpretation of past events and the forecasting of future scenarios to also provide advice on the most effective actions to meet business objectives. Students acquire the skills to convert complex business problems into mathematical models, and employ Python programming and commercial solvers to derive optimal decisions. Evaluation components will consist of assignments, case studies, group projects, and two midterm exams. Prerequisite: OM 252. Not open to students with previous credit in OM 423.

The objective of the course is to study and understand process and product variation, interactions among product and process variables, and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases, and applications of quality control in management. Prerequisites: MGTSC 312, ECON 101 or equivalents.

Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.

Special study for advanced undergraduates. Prerequisites: consent of Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: MGTSC 495, consent of the Instructor and Assistant Dean, Undergraduate Program.

Special Study for advanced undergraduates. Prerequisites: MGTSC 496, consent of the Instructor and Assistant Dean, Undergraduate Program.

This course begins with a survey of graphical and numerical techniques available for studying and describing data. Following an introduction to probability distributions, an overview of statistical inference for means and proportions is provided. Regression, analysis of variance and decision analysis are then utilized to analyze data and support decision making. Time series models are also briefly discussed. The data and decisions analyzed throughout the course will be representative of those commonly encountered by managers. During the required lab sessions, spreadsheet analysis of data, Monte Carlo simulation and the use of software for statistical analysis will be presented. Not open to students who have completed MGTSC 511 and MGTSC 521.

The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.

The objective of the course is to study and understand process and product variation, interactions among product and process variables and ultimately to take action to reduce variation. The topics covered include statistical process control, design of experiment, factorial design, Taguchi's methods and cases and applications of quality control in management. Prerequisite: MGTSC 501 or MGTSC 521.

Topics may vary from year to year. Students should check with the MBA Office for pre/corequisites of specific sections.

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to students registered in the MBA China Program.

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to Executive MBA students only.

Business organizations as systems of mutually reinforcing functional areas where decision making is driven by underlying economic forces. Application of economic theory to facilitate complex decision making within organizations: economic models of decision making are linked directly to functional areas of management. Topics include the organization of firms and industries; meeting customer needs; and decision making involving production, resource use, dealing with risk and uncertainty, scale and scope of operations, competitive advantage, and product pricing. Prerequisite: ECON 101, ECON 102, and MATH 154 or equivalent. Not open to students with previous credit in ECON 281. Students may not receive credit for both BUEC 211 and BUEC 311.