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2020-2021 Graduate Catalog [ARCHIVED CATALOG]
Course Descriptions
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Applied Linguistics |
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APLING 891 - Qualifying Paper Seminar
3 Credit(s) | |
Description:
This required 3-credit course supports students in the development of the Qualifying Paper, a required element in the APLING program. It considers common issues such as finding a researchable question, designing and conduction a literature review, beginning a conceptual framework, and making a timeline for work on the QP. Some classes will be structured
037775:1
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APLING 892 - Dissertation Proposal Writing Seminar
3 Credit(s) | |
Description:
This course will provide structured support on whole group and individual bases for APLING students who are working on their dissertation proposals. The Seminar compliments students’ work with their dissertation chairs and committees. The Seminar will be graded Pass/Fail. Students who attend all classes, come prepared, participate in a spirit of professional critique and academic integrity, and develop and present a 50-60 page dissertation proposal will pass the course.
Enrollment Requirements:
Prerequisite: APLING 891
037776:1
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APLING 899 - Dissertation Research
1-12 Credit(s) | |
Description:
Research conducted under supervision of the doctoral committee leading to the presentation of a doctoral dissertation.
037777:1
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Biochemistry |
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BIOCHM 583 - Biochemistry I
3 Credit(s) | |
Description:
In the first of a two-semester sequence, the chemistry of life processes is discussed in terms of structure and biological function of proteins, nucleic acids, carbohydrates, lipids, and other cellular components. Special emphasis is given to protein structure and function, enzymology, carbohydrate metabolism, transport mechanisms, energy transformations, and photosynthesis. It is recommended that BIOCHM 385 be taken concurrently.
033494:1
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Biology |
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BIOL 506 - Marine and Coastal Ecological Research
3 Credit(s) | |
Description:
This course emphasized supervised independent research into the adaptations and interactions of organisms of Nantucket’s beaches, salt marshes, sand dunes, watershed, and embayments. Students will be exposed to tools, techniques and statistical analyses used in community ecology, oceanography and related fields. Individualized research projects have included in the past a wide variety of topics such as plant/animal interactions in the marsh, impact of nitrogen on marsh plants, and the impact of tidal cycles on plankton community dynamics.
Enrollment Requirements:
Graduate degree student in Biology or permission.
035569:1
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BIOL 514 - Developmental Biology
3 Credit(s) | |
Description:
This course studies plant function with emphasis on nutrition, translocation, metabolism, signal transduction and gene expression, photosynthesis and respiration, hormonal controls during vegetative and reproductive growth, and responses to environmental signals and stresses.
Enrollment Requirements:
Graduate degree student in Biology or permission.
032938:1
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BIOL 518 - Neurobiology Lecture
3 Credit(s) | |
Description:
This course examines the nervous system, beginning at the membrane and cellular level and then moving on to the organization of sensory and motor systems. Special topics include the biological basis of various neurological and psychiatric diseases.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033084:1
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BIOL 519 - Endocrinology Lecture
3 Credit(s) | |
Description:
This course studies hormone physiology and biochemistry in the context of organismal regulation and coordination. Topics include hormone chemistry, control and regulation of hormone production, and the cellular and biochemical nature of hormone action. Emphasis is placed on mammalian systems and on laboratory and clinical investigations of the endocrine system.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033085:1
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BIOL 523 - Plant Physiology (Lecture only)
3 Credit(s) | |
Enrollment Requirements:
Graduate degree student in Biology or permission.
033487:1
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BIOL 527 - Melecular Biology
3 Credit(s) | |
Description:
Intercampus exchange course
037944:1
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BIOL 529 - Plant Life Lecture
3 Credit(s) | |
Description:
This course is an advanced survey of plant diversity, the major groups, their organization and reproduction, the elements of taxonomy and economic botany of vascular plants, and the major issues of conservation biology.
Enrollment Requirements:
Graduate degree student in Biology or permission.
032939:1
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BIOL 533 - Marine Invertebrates Lecture
3 Credit(s) | |
Description:
This course provides and essential background for those planning to concentrate in organismic biology, evolution, ecology, or applied environmental science. The course covers life histories, ecological roles, adaptations, morphologies, evolution, and classification of marine invertebrate animals.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033087:1
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BIOL 534 - Microbiology
4 Credit(s) | |
Description:
This course focuses on the study of viruses, bacteria, algae, fungi, and protozoa, to include their characterization, classification, and relationship to humans and the environment. Lecture topics include microbial biochemistry, cell biology, genetics, taxonomy, pathogenic bacteriology, food and industrial microbiology, and ecology. The laboratory emphasizes aseptic techniques to isolate, culture, observe, and identify bacteria.
Enrollment Requirements:
Graduate degree student in Biology or permission.
032940:1
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BIOL 538 - Insect Life
4 Credit(s) | |
Description:
This course considers physiological and other adaptations that account for the survival and success of insect life. The laboratory deals primarily with the diversity of insects. Brief consideration is also given to the relationship of insects to humans.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033488:1
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BIOL 539 - Comparative Animal Physiology
3 Credit(s) | |
Description:
This course considers physiological principles and problems in a phylogenetic perspective. An integrated view of physiological solutions from the cellular to organismal level is used to discuss adaptations to environments and constraints on life history. Major topics to be considered include temperature responses, biological clocks, allometry, respiration, circulation, energetics, locomotion, and salt and water balance.
Enrollment Requirements:
Graduate degree student in Biology or permission.
032941:1
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BIOL 540 - Marine Mammal Biology
3 Credit(s) | |
Description:
This upper-level course covers the biologic ecology of marine mammals (Pinnipeds, Cetaceans, Sirenians) with emphasis on applied populations population ecology and conservation issues. Topics include adaptations to marine environments, effects of human exploitation, case studies of population recovery, and multispecies interactions. Many topics make use of mathematical equations.
Enrollment Requirements:
Graduate degree student in Biology or permission.
032942:1
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BIOL 542 - Ecology Lecture
3 Credit(s) | |
Description:
This course studies population and community ecology. Topics include theory and case studies of population dynamics, competition, predation, niche concepts, life history strategies, behavioral interactions, energetics and productivity, community structure and organization, and biogeography.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033088:1
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BIOL 544 - Stock Assessment of Fishery Resources
3 Credit(s) | |
Description:
UMD course
041008:1
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BIOL 545L - Biology in Society: Critical Thinking
3 Credit(s) | |
Description:
Current and historical cases are used to examine the political, ethical, and other social dimensions of the life sciences. Close examination of developments in the life sciences can lead to questions about the social influences shaping scientists’ work or its application. This, in turn, can lead to new questions and alternative approaches for educators, biologists, health professionals, and concerned citizens. The specific thematic emphasis each semester is publicized by the Program. BIOL 545L and CRCRTH 645L are the same course.
Enrollment Requirements:
Graduate degree student in Biology or permission.
012897:2
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BIOL 552 - Evolution (Lecture only)
3 Credit(s) | |
Description:
This course focuses on evolution as the unifying concept of biology. Topics include population genetics, adaptive strategies, sex and breeding systems, speciation and population differentiation, fossil histories, and the evolution of man.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033491:1
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BIOL 560 - Bioinformatics
3 Credit(s) | |
Description:
This course provides a fundamental overview of bioinformatics, which is the collection, organization, and analysis of biological information. Topics include data searches and sequence alignments, substitution patterns, phylogenetics, genomics, protein, and RNA structure prediction, and proteomics.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033492:1
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BIOL 572 - Molecular Biology (Lecture only)
3 Credit(s) | |
Description:
This course studies the molecular biology and biochemistry of gene expression in prokaryotes and eukaryotes. Topics include DNA structure/physical biochemistry, recombinant DNA technology, techniques in research, DNA synthesis, RNA synthesis, protein synthesis, operons, chromatin structure and gene regulation, oncogenes, hormones and growth factors and signal transductions, transposons, mutagenesis and repair, flowering, photosynthesis, development, circadian rhythms.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033493:1
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BIOL 580 - Intro to Immunology Lecture
3 Credit(s) | |
Description:
This course is an introduction to the principles of immunology, including definition of antigens and antibodies, specificity of the immune response, immunoglobulin synthesis, cellular cooperation in the immune response, mechanism of inflammation, transplantation, and diseases associated with responsiveness of the immune system.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033089:1
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BIOL 607 - An Introduction to Computational Data Analysis for Biology
3 Credit(s) | |
Description:
This course will cover the basic statistical knowledge necessary for students in biology to design, execute, and analyze a basic research project. The course aims to have students focus on thinking about the biological processes that they are studying in their research and how to translate them into statistical models. The course will take a hands-on computational approach, teaching students the statistical programming language R. In addition to teaching the fundamentals of data analysis, we will emphasize several key concepts of efficient computer programming that students can use in a variety of other areas outside of data analysis.
Enrollment Requirements:
Graduate degree student in Biology or permission.
038771:1
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BIOL 609 - Advanced Data Analysis for Biology
3 Credit(s) | |
Description:
This course will cover the advanced statistical modeling techniques needed for students investigating complex biological systems. The course aims to have students focus on thinking about the biological processes that they are studying in their research and how to translate them into statistical models of realistic complexity. This includes models that deal with autocorrelation, mixed models, multivariate Structural Equation Models with latent variables, and more. We will also emphasize Bayesian inferential techniques, as they have proven to be powerful and flexible in a wide variety of situations. They are also often philosophically aligned with scientists goals, perhaps more often than frequentist techniques. The course will take a hands-on computational approach, allowing students to first approach concepts theoretically, and then implement them in the programming language R.
Enrollment Requirements:
Graduate degree student in Biology or permission.
040577:1
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BIOL 611 - Epigenetics
3 Credit(s) | |
Description:
How does the environment inside and outside an organism impact gene expression and cellular behavior? The answer, to some degree, is epigenetic regulation: the regulation of gene expression by chromosomal modifications, rather than by altering the genetic code directly. In this graduate-level course we will start to answer this question in move detail, and in the context of development by studying the regulation and role of specific epigenetic mechanisms in patterning and tissue specification during embroyogenesis, regeneration, and disease.
Enrollment Requirements:
Graduate degree student in Biology or permission.
040578:1
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BIOL 612 - Advanced Cell Biology
3 Credit(s) | |
Description:
The analysis of gene transfer and expression at the cellular level, including the nature of metabolic systems and the factors governing their regulation.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011199:1
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BIOL 615 - Immunology
3 Credit(s) | |
Description:
Selected topics in immunology are studied in depth, using the current literature. Topics are chosen for relevance and current interest, or for their challenging, even controversial nature.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011204:1
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BIOL 625 - Genomics and Biotechnology
3 Credit(s) | |
Description:
This course provides an overview of genomics and covers topics such as mapping genomes, acquiring genomes and annotating genomes. Students will critically assess the genome projects from various organisms. Special emphasis will be given to technologies that contribute to and stem from the advances in genome sciences, including principles of sequencing, computational tools for gene annotation, functional genomic tolls for systems genetics, and technologies for massively parallel analyses of gene function. The applications of these techniques to various areas of biology will also be presented.
Enrollment Requirements:
Graduate degree student in Biology or permission.
037068:1
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BIOL 628 - Microbial Ecology
3 Credit(s) | |
Description:
The functions, roles, and ecology of microorganisms in the environment, emphasizing biogeochemical cycling of elements. Topics for special concentration are chosen from the following: microbial diversity, evolution, interactions, aquatic or soil microbiology, and sewage microbiology. The course focuses on relating molecular and biochemical mechanisms to ecological principles. Readings are assigned from classical and current scientific literature for class discussion. An in-depth review paper on a special topic is required.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011221:1
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BIOL 629 - Host Microbe Interactions
3 Credit(s) | |
Description:
This is a new Biology graduate course that will introduce students to the field of host-microbe interactions. Topics will include the molecular genetics of model symbioses and the impact of evolution and ecology in shaping these interactions. Students will read primary literature and current review articles, and these readings will serve as discussion topics during the class period.
Enrollment Requirements:
BIOL 334 and BIOL 372
038404:1
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BIOL 631 - Microbial Genome Evolution: Gene Establishment, Survival, and Exchange
3 Credit(s) | |
Description:
This course examines the genetic and molecular processes that underlie microbial genome evolution. Topics will include processes involved in generating genetic diversity: for example, spontaneous mutagenesis, horizontal gene transfer, and transposition. These molecular events will be discussed within the context of ecological and lifestyle pressure that help shape genome content and architecture. Students will read one primary literature article with a current book chapter or review article, and these readings will serve as the discussion focus during the class period.
Enrollment Requirements:
BIOL 334 and BIOL 372
038405:1
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BIOL 634 - Methods in Phylogenetics and Macroevolutionary Analysis
3 Credit(s) | |
Description:
Evolutionary biology is unique in the biological sciences because it is, to a large extent, a historical discipline. In the absence of direct paleontological data one of the best resources we have for studying evolutionary history over very long timescales I phylogenetic biology. In the first part of this course, students will survey the theory and application of modern phylogeny inferences. In the second part of this course, students will learn the important theory and practical methods of phylogenetic comparative biology - the use of inferred trees in evolutionary inferences. This course will consist of a combined weekly lecture & computer lab; regular computer exercises; and two independent projects in which the students may use their own dataset or one obtained from an online data repository.
Enrollment Requirements:
Graduate degree student in Biology or permission.
038772:1
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BIOL 635 - Population Genetics and Diversity
3 Credit(s) | Lecture | Graded
Course can be counted for credit once
Description:
A quantitative approach to the concept of populations and the evolutionary forces affecting them. The course analyzes the interactions among forces and the resulting dynamics of population structure. Toward the end of the semester, the course shifts its primary emphasis from lecture to discussion in order to cover current topics in population genetics. Topics include the theory and application of tools necessary for assaying genetic variation in natural populations, DNA fingerprinting in forensics, the evolution of sex, and the genetics of rare and endangered species.
Enrollment Requirements:
Prerequisite: Graduate degree student in Biology or permission.
011222:1
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BIOL 638 - Advanced Ecology
3 Credit(s) | |
Description:
Concepts of population and community ecology. Topics covered may include population dynamics, life history strategies, theory of r- and K-selection, competition, predation, community organization, and species diversity. Particular emphasis is placed on the relationship between theoretical and empirical ecology. A weekly tutorial provides the opportunity for greater discussion of material covered in lecture. Emphasis changes from year to year.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011226:1
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BIOL 639 - Conservation Biology
3 Credit(s) | |
Description:
The principles of conservation biology are drawn from such various subdisciplines of biology as ecology, genetics, evolution, and biogeography. The course begins with an analysis of the distribution of biodiversity, proceeds to examine the patterns of biodiversity loss at all levels, from genes to ecosystems, and finishes with a discussion of the causes, consequences, and solutions of the crisis. Topics include assessment and monitoring of species diversity, conservation genetics, the theory of island biogeography, habitat loss and forest fragmentation, human impacts on biodiversity, the design of nature reserves, economic valuation of biodiversity, and sustainable use of biodiversity.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011228:1
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BIOL 642 - Biogeography
3 Credit(s) | |
Description:
A study of the distribution of organisms in space and time. Includes comparative and experimental tests of island biogeographic theory; the significance of spatial and temporal scale; the roles of dispersal and vicariance; phylogenetic implications; geographic patterns of species diversity in marine and terrestrial ecosystems; contemporary analytical methods; mass extinctions and the fossil record; historical biogeography; macroecology; and the importance of biogeography for understanding conservation strategies and the global biodiversity crisis. Conducted in seminar format with student discussions.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011232:1
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BIOL 650 - Scientific Communication
3 Credit(s) | |
Description:
Required of all master’s and doctoral students; usually taken in the second year. The course covers the storage and retrieval of scientific information (including searching of computerized data bases), the design of tables, figures, and other graphics, the writing of technical reports and papers, and the preparation of posters and publications. Writing, oral presentations and other assignments, and attendance at the weekly departmental seminar, are required.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011234:1
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BIOL 652 - Biological Diversity and Evolution
3 Credit(s) | |
Description:
This course is an inquiry into the origin and evolution of patterns of biological diversity. It begins with an overview of the biogeochemical history of the Earth, theories of origin of life, diversification of metazoans during the Panerozoic, and the nature and causes of periodic mass extinction events. Biological diversity is considered at molecular, population, and community levels. This course counts toward the required core in the Environmental Sciences/Environmental Biology PhD track. (Course offered in the fall only.)
Enrollment Requirements:
Graduate degree student in Biology or permission.
011237:1
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BIOL 653 - Current Literature in Biology
1 Credit(s) | |
Description:
A series of one-credit seminar courses focusing on subfields of environmental biology, to help students develop the habit of keeping up with recent developments through reading scientific journals. The seminars also provide a forum for oral presentations where students can get comment and critique on their scientific progress. Students must take a minimum of five seminars, for a total of five credits. This course is part of the required core in both the Environmental Sciences/Environmental Biology and MCOB PhD tracks.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011238:1
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BIOL 654 - Sustainability Science: Environment, Economy and Equity
3 Credit(s) | |
Description:
Sustainability science is an emerging field combining tools from biology, ecology, evolution, economics and sociology (as well as political science, history and philosophy) to address complex problems of society’s relationship with the natural world and natural resources. This course gives an overview of key issues in sustainability science, including oncoming climate change, economic globalization, population growth and movement, biodiversity loss and homogenization, fossil fuel use and alternative energy sources. It models a ‘problem-based’ approach to scientific research, in contrast to a more traditional ‘tool-based’ approach. It explicitly explores the interface between research and a policy action. Drawing on our own research and that of others, we focus particularly on the relationships among ecosystem services, economics, and equity across social groups, gender, and geography. At the end of the semester, UMB will hold an inter-departmental, public mini-symposium featuring 3-4 eminent speakers on sustainability science , along with opportunities for student interaction.
Enrollment Requirements:
Graduate degree student in Biology or permission.
039836:1
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BIOL 664 - Bioinformatics for Molecular Biologists
3 Credit(s) | |
Description:
The research of molecular biologists is facilitated by the numerous bioinformatics tools available on the Internet. The topics include DNA and protein sequence databases, sequence alignment, searching databases, gene structure, protein-function prediction, molecular evolution and whole genome sequences. The laboratory emphasizes hands-on experience and problem solving, and how to avoid being misled by errors in databases and improper use of computer programs.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011274:1
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BIOL 666 - Mammalian Toxicology
3 Credit(s) | |
Description:
This course provides a background in principles of toxicology in mammalian systems. It is an alternative to Environmental Toxicology, EEOS 635, as a core requirement for the Molecular, Cellular, and Organismal Biology doctoral track. Coverage includes: basic concepts of poisons and their commonalities with drugs and hormones ;toxicant exposure routes, uptake, sites and mechanisms of action, storage, metabolism, activation, and clearance; toxicant roles in carcinogenesis, development, endocrine, and reproductive functions; roles of diet, lifestyle, and concurrent exposures; methods of toxicant evaluation emphasizing multi-generation and high-throughput testing; and environmental and medical implications of toxicant/toxin expores on individual health. Students taking this course should have already completed general chemistry and organic chemistry, general biology and one advanced course in cell biology, biochemistry, or physiology.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033410:1
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BIOL 672 - Directed Readings in Biology
1 - 3 Credit(s) | |
Description:
Selected readings in advanced areas of biology with guidance and regular discussion.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011282:1
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BIOL 673 - Directed Readings
1 - 3 Credit(s) | |
Description:
This course provides selected readings in advanced areas of biology with guidance and regular discussion.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011295:1
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BIOL 674 - Cell Signaling
3 Credit(s) | |
Description:
This course will systematically investigate cell communication mechanisms, with an emphasis on developmental examples of cell signaling. General properties of signaling cascades will be discussed, followed by specific examples of conserved signaling pathways, such as Notch, Wnt, Hedgehog, TGF/BMP, JAK/STAT, nuclear receptors; and receptor tyrosine kinases (RTKs). Normal and aberrant receptor signaling will be examined using experimental evidence obtained in model genetic organisms. Implications of disrupting cell communication pathways in human disease will be discussed. The course will emphasize readings from the current literature. Upon completion of this course, students will have a solid understanding of the molecular mechanisms and control principles of cellular communication in normal and pathological conditions.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033520:1
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BIOL 676 - Advanced Molecular Biology Lecture
3 Credit(s) | |
Description:
A lecture-only course covering the same material as BIOL 675; no lab work is required.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011304:1
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BIOL 677 - Advanced Eukaryotic Genetics
3 Credit(s) | |
Description:
A broad spectrum of readings in plant, animal, and fungal genetics on such topics as segregation distortion, the control of sex determination, modes of asexual reproduction, inheritance of cytoplasmic genomes, self-incompatibility systems, transposable elements, and genetic mapping.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011306:1
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BIOL 679 - Protein Chemistry and Enzymology Lecture
3 Credit(s) | |
Description:
A lecture-only course covering the same material as BIOL 678; no lab work is required.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011308:1
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BIOL 680L - Physical Biochemistry
3 Credit(s) | |
Description:
This course serves as an introduction to analytical methods and instrumentation available to the interdisciplinary scientist. While no course can be comprehensive in this field, this course will examine a broad base of analytical methods through introductory theory and will highlight applications and recent developments in these methods through current primary literature. BIOL 680L and CHEM 680L are the same course.
Enrollment Requirements:
Graduate degree student in Biology or permission.
001010:1
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BIOL 681 - Network Biology
3 Credit(s) | |
Description:
This graduate course introduces the students to an emerging field of Network Biology. The course covers general properties of biological networks, and continues with an in-depth treatment of the properties of the transcriptional, metabolic, protein-protein interaction, and signaling networks. Special emphasis is given to the technical advances in collection and analysis of high throughput data and to the associated information repositories. Reading assignments are largely based on the current literature in the field, through two texts will be recommended as additional resources. Exercises in a computer lab will give students hands-on experience with biological network analysis. The course is intended primarily for Ph.D. and master’s students but is open to advanced undergraduates by permission of instructor.
Enrollment Requirements:
Graduate degree student in Biology or permission.
037069:1
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BIOL 691 - Seminar in Developmental Biology
3 Credit(s) | |
Description:
Current problems in developmental biology. Topics include molecular and cellular differentiation, and pattern determination.
Enrollment Requirements:
Graduate degree student in Biology or permission.
033439:1
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BIOL 693 - Seminar in Neurobiology
3 Credit(s) | |
Description:
Discussion of current literature in neuropharmacology and drug and behavior interactions. Combination of lectures and student presentations.
Enrollment Requirements:
Graduate degree student in Biology or permission.
001027:1
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BIOL 694 - Research Experimentation in Biology
3 Credit(s) | |
Description:
This independent study provides students with sustained experience in a research laboratory. Each student pursues a specific research project, which may originate in a public or private sector laboratory or at the University. Each student’s project should involve the student in ideas and laboratory skills and should permit the student to produce work of publishable quality.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011316:1
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BIOL 697 - Special Topics in Biology
1 - 6 Credit(s) | |
Description:
A field of current interest in biology is examined in detail.
Enrollment Requirements:
Graduate degree student in Biology or permission.
031905:1
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BIOL 698 - Projects in Biology
1 - 6 Credit(s) | |
Description:
A substantial written report based on library research or an original project such as curriculum design, design of teaching aids and exercises, or critique of a book or theory. No more than 6 credits of this course may be applied to the master’s degree. The credits may be applied over more than one semester. BIOL 698 and BIOL 699 are mutually exclusive.
Enrollment Requirements:
Graduate degree student in Biology or permission.
011334:1
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BIOL 699 - Thesis Research
1 - 10 Credit(s) | |
Description:
Substantial laboratory or field research resulting in a master’s thesis. No more than 10 credits of this course may be applied to the master’s degree. The credit may be applied over more than one semester. Students may not receive credit for both BIOL 698 and BIOL 699.
Enrollment Requirements:
: Graduate student in Master of Biology.
011336:1
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BIOL 899 - Dissertation Research
1 - 99 Credit(s) | |
Description:
These are course credits for research conducted under the supervision of members of the faculty within the Biology Department and leading to the presentation of a doctoral dissertation within one of the PhD programs housed within the Biology department.
Enrollment Requirements:
: Biology PhD students.
011346:1
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Business Administration |
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BUSADM 700 - Business in Context: Markets, Technologies, Societies
3 Credit(s) | |
Description:
This is the introductory core course for the PhD program in Business Administration and its goal is to establish a common experience with a foundational array of theories, perspectives, and topical issues for all the PhD tracks. The course provides a broad review, across business disciplines, of major contemporary management and organizational trends at the interface with technology, economics, policy, and social issues.
038571:1
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BUSADM 710 - Accounting for Finance I
3 Credit(s) | |
Description:
This course teaches financial accounting theory and techniques that are useful to finance research., especially corporate finance area. Doing research on corporate finance requires intensive use of accounting data disclosed in financial statements. A better understanding of how the accounting numbers are measured and presented will enhance the research design and power of the tests.
038975:1
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BUSADM 711 - Accounting for Finance II
3 Credit(s) | |
Description:
The course will focus on capital market studies, i.e., that portion of the empirical accounting research literature that focuses on the role that accounting information plays in the formation of capital market prices. The course will cover “classic” papers in the major research areas within the field and methodological issues in financial accounting.
038976:1
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BUSADM 720 - Quantitative Financial Analysis I
3 Credit(s) | |
Description:
The objective of this course is to introduce students to analytical skills of microeconomics that are important for advanced analysis in areas of finance and business administration. This course emphasizes decision-making at the micro level - how consumers choose consumption and firms make production decisions given resource and financing constraints. The theory behind such actions is integrated to develop and economic equilibrium that is both predictable and can be validated by data.
Enrollment Requirements:
BUSADM-PHD student or permission of instructor
038977:1
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BUSADM 721 - Quantitative Financial Analysis II
3 Credit(s) | |
Description:
The emphasis in this course is to capture the dynamics of the economic system at an aggregate level. It covers mathematical tools and econometrics techniques required to analyze and forecast the dynamics of important economy-wide measurements such as long-run growth, inflation, unemployment, balance of trade and exchange rates. The underlying emphasis is also to understand how these macro level variables affect business decision-making and relate to financial markets.
Enrollment Requirements:
BUSADM 720
038978:1
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BUSADM 722 - Cross-Section Analysis of Financial Data
3 Credit(s) | |
Description:
This course is a PhD level introduction to econometrics. The objective of the course is to provide a rigorous treatment of basic econometric techniques and the body of theory underlying their applications.
038979:1
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BUSADM 723 - Time Series Analysis of Financial Data
3 Credit(s) | |
Description:
The emphasis of this course will be to introduce students to time series data in financial accounting and finance. The course introduces the students to a variety of econometric techniques and the latest developments in the area of financial econometrics and quantitative finance. Topics include maximum likelihood, generalized method of moments, extremum estimators, selected topics in time series analysis, limited dependent variable model, nonparametric kernel estimators, predictability of asset returns, univariate and multivariate volatility modeling, estimation of dynamic equilibrium models, estimation and inference in continuous-time models, and Value at Risk models.
038980:1
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BUSADM 730 - Seminar in Investment & Asset Valuation
3 Credit(s) | |
Description:
This is an advanced course in asset pricing. In this course we will study the theoretical foundations of modern financial economics. The course will cover the central themes of modern finance including individual investment decisions under uncertainty, capital market equilibrium an asset valuation, arbitrage pricing theory, option pricing. The emphasis on class presentation will enhance the ability to summarize the essential ingredients of a paper in a concise way, and to put them in perspective. Participation in presentation seminars should encourage critical thinking in terms of to asking the right questions about the research piece, assumptions made by the authors and to isolate key strengths and weaknesses of a research paper.
039568:1
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BUSADM 731 - Seminar in Financial Economics
3 Credit(s) | |
Description:
This course is intended for individuals planning to pursue careers in “applied” finance. The objective of this course is for students to gain a working understanding of the major elements in the theory of capital markets and how they might be applied to common problems in professional money management. It also provides a broad array of topics in which these tools are used for research in both academia and money management. This course is required for PhD in Business Administration Finance track students.
039569:1
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BUSADM 732 - Seminar in Corporate Finance
3 Credit(s) | |
Description:
This is an advanced course in corporate finance. The objective of this course is to gain a working understanding firm’s contractual nature. The course begins with the classic Modigliani/Miller arguments, focus on the implications of violations of MM assumptions and then study the traditional corporate finance issues, including financial distress, corporate payout policy, and the capital acquisition process. In this course we will also review some topics that have become prominent in the literature in recent years: interactions between product and capital markets, corporate governance/control, special issues in governance/control raised by international differences, and finally, internal capital markets and the logic of diversification.
039570:1
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BUSADM 733 - Advanced Topics in Corporate Finance
3 Credit(s) | |
Description:
This is an advanced course in corporate finance, expanding on topics covered in the PhD core corporate finance course. In this course we will review some topics that have become prominent in the literature in recent years: interactions between product and capital markets, corporate government/control, special issues in governance/control raised by international differences, and finally, internal capital markets and the logic of diversification.
040137:1
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BUSADM 734 - Topics in Investment Asset Pricing
3 Credit(s) | |
Description:
this is an advanced course in asset valuation, building on knowledge fromt he core PhD investments courses. the course will cover the central themes of modern finance including individual investment decisions under uncertainty, capital market equilibrium and asset valuation. The emphasis on class presentations will enhance the ability to summarize the essential ingredients of a paper in a concise way, and to put them in perspecitve. Participating in presentation seminars should encourage critical thinking in terms of asking the right questions about the research piece, assumptions made by the authors and to isolate key strengths and weaknesses of a research paper.
040138:1
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BUSADM 736 - Accounting for Finance III
3 Credit(s) | |
Description:
Building upon BUSADM 710 and 711, this course is designed to provide students with the applied and advanced understanding of empirical research in accounting. The course will focus on various capital market studies, i.e., the empirical research on the role that accounting information plays in the formation of capital asset prices. The course will cover “classic” papers in the major research areas within the field and methodological issues in financial accounting.
Enrollment Requirements:
BUSADM 710 and BUSADM 711
040140:1
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BUSADM 740 - Information Systems Theory I: Behavioral and Group Perspectives
3 Credit(s) | |
Description:
This course is the first part of two-course series of Ph.D seminars on classic literature of information systems. It is designed to provide doctoral students a broad introduction to various research issues and challenges in topics of information systems (IS) and information technology (IT) management. As the first one of this series, this course is focused on theories at the behavioral and group levels. Typical topics covered in the course include, but are not limited to, technology adoption and diffusion, IT-enabled communication, decision support, virtual teams, online community, cultural and power issues in IT activities, and other emerging topics in the research field.
039669:1
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BUSADM 741 - Information Systems Theory II: Organizational and Economic Perspectives
3 Credit(s) | |
Description:
This course is the second part of two-course series of Ph.D seminars on classic literature of information systems. It is designed to provide doctoral student specialized in information systems and business analytics a broad introduction to various research issues and challenges in topics of information systems (IS) and information technology (IT) management. As the second one of this series, this course is focused on theories at the organizational and economic levels. Topics covered include strategic IT planning, business value of IT, IT strategies, IT governance and controls, IT sourcing models, electronic marketplaces, economics of digital products, data science and business analytic, and other emerging topics in the research field.
039670:1
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BUSADM 742 - Regression Analysis
3 Credit(s) | |
Description:
This course will introduce the fundamental concepts and applications of linear regressions, such as simple linear regression, multiple regression, model fit, transformations, variable selection and logistic regression etc., and also various issues that we might face during those applications. This course will be the foundation for applied quantitative research.
039831:1
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BUSADM 743 - Decision and Risk Analysis
3 Credit(s) | |
Description:
Decision and risk analysis combine elements of probability, economics, logic, psychology and domain knowledge to characterize and analyze complex decision problems. Researchers in this scholarly discipline develop theoretical mathematical results, develop computational decision support tools grounded in formal theory, methods for populating models, as well as a large number of applied models for different real world problems or problem classes. Students will gain familiarity with the basic theory and methods from classic and recent texts, and will examine some real world applications from recent journal publications. There will be particular focus on connections between the approaches covered and developments in information systems and in analytics. The course will involve portions of problem sets, student led discussions. Students emerging from the class will be prepared to incorporate decision analysis into research involving applications or IS/Analytics, or to further investigate decision analysis in order to research in the methods of the field itself. Students will also keep a journal of ideas one of which will be the basis for a project or research paper that has the potential for expansion into publishable results.
039671:1
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BUSADM 744 - Quantitative Research Methods in Information Systems
3 Credit(s) | |
Description:
This course focuses on understanding, evaluating, and designing quantitative methods and methodologies for information systems research. Through this course, students will review and exercise the basic skills required for quantitative research at the post-graduate level, including literature review, research design, data collection and analysis, and report writing. To gain hands-on experience, students will work on an original research project during the semester and will be expected to submit a research outcome to an IS journal or conference. This course will be especially helpful to students who wish to use the quantitative research methods (e.g., survey, experimental and/or quasi-experimental methods) in their dissertations and subsequent research endeavors.
039672:1
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BUSADM 745 - Multivariate Statistics
3 Credit(s) | |
Description:
The goal of this course is to develop skills necessary in analyzing problems in which multiple variables are simultaneously present, without knowing beforehand which once are playing important roles and hence are of interest, and which ones are not. Our main goal is to identify the signal or key features of the data. The course will cover the major techniques in this field. The focus will be on practical issues such as selecting the appropriate approach and how to prepare the data.
039832:1
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BUSADM 750 - Foundations of Organization Theory
3 Credit(s) | |
Description:
This course considers classic readings in social theory that inform the main traditions in organization theory. It addresses central questions about how groups, organizations, and fields of organizations are created, patterned, and reproduced. Its objectives are to understand the historical and philosophical context of contemporary organization theory, to trace the genealogy of concepts in organization studies, and to understand the main concepts and ideas in the major publication outlets.
038573:1
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BUSADM 751 - Contemporary Organization Theory
3 Credit(s) | |
Description:
This course for the Organizations and Social Change track provides students with a comprehensive foundation to understand different theories of organization across a variety of academic disciplines (i.e., Management, Economics, Political Economy, Sociology, Feminist Studies, etc.) focusing on more contemporary and critical schools of thought. Students will study the philosophical assumptions of different theories and gain an in-depth understanding of the relevance of ontology and epistemology for theorizing on and about organizations. the course is designed to socialize first and second year doctoral students with respect to the guiding scholarly norms of the business administration field in terms of understanding how to “read”, critique, and utilize various theories of organization.
040141:1
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BUSADM 754 - Introduction to Organizations & Social Change
3 Credit(s) | |
Description:
Organizations are at the heart of markets and societies. Profit-seeking corporations transform economic resources into outputs via organizations; governmental agencies delivered services and regulate other organizations; and numerous non-governmental organizations, from unions to churches to advocacy groups, constitute the realm of civil society. Organizations shape how a society functions. They are the vehicles through which societal-level interests and agendas are channeled. They represent a form a structural power; some groups systematically benefit relative to others as a result of how organizations operate. Organizations are frequently the target of public policy, as they are sites of both societal aspirations (productivity, innovation, opportunities for advancement) and societal challenges (inequality, discrimination, pollution, deception). Organizations can also be arenas of resistance and change, advancing new ideas and addressing old problems. An understanding of organizations - their sources of power, their role in governance, and their structures and processes - is therefore highly relevant for future researchers who wish to conduct studies of use for policy analysts, activists, and managers in the private, public, and non-profit sectors.
038572:1
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BUSADM 760 - Global and Political Economy Dimensions of Organization
3 Credit(s) | |
Description:
This course is designed to deepen students’ knowledge about the embeddedness and dynamics of business activities in global economic, political, organizational, social, and institutional structures, and their impact on business strategy and regional development. As part of the course, students will become familiar with the history and current dimensions of globalization, the multinational enterprise, theories of internationalization and economic development, varieties of capitalism, transnational institution-building, the concept of regional cluster, global value chains and production networks, and recent phenomena, such as global services sourcing.
038574:1
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BUSADM 770 - Introduction to Research Methods for the Social Sciences
3 Credit(s) | |
Description:
This course will train students in selecting appropriate methods for investigation a research question. We will explore a range of approaches to data, including positivist, interpretive, and critical. Students will learn to read research papers through the eyes of reviewers and note where improvements can be made to tighten the flow from theory to research to conclusions.
038575:1
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BUSADM 771 - Contemporary Research Practice on Management, Organizations, and Social Change
3 Credit(s) | |
Description:
This course is required for all doctoral students in the Ph.D. in Business Administration, Organizations and Social Change (OSC) track. This course complements research methods courses to further develop the abilities of students to evaluate and design social science research on management, organizations and social change for publication in academic journals and other outlets. The core assumption of this class is that research is a craft with rules, norms, and best practices that are not always obvious. The primary goal is to demystify research practice and give students the tools to better connect research methods to contemporary theoretical debates within management and organizational theory, both of which are key to the development of original research projects.
041009:1
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BUSADM 775 - Professional Development Workshop - Doctoral Teaching
3 Credit(s) | |
Description:
This course is designed for advanced doctoral students (e.g., end of second year), across the three tracks of the PhD in Business Administration (Organizations and Social Change, Finance, and Management Information Systems). The course is taken at this juncture to prepare you to teach sections of undergraduate courses at the College of Management, and more broadly, to develop a well-grounded approach to the skills and goals of teaching. In addition, this course prepares you to make presentations to a wide variety of audiences, including professional colleagues, business practitioners, policy makers, and other key stakeholders with an interest in their research findings. At this point in your career, you will increasingly be presented at research conferences, and ultimately, preparing your oral dissertation defense and your “job talk.”
038576:1
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BUSADM 777 - Dissertation Seminar - Finance track
3 Credit(s) | |
Description:
The primary purpose of this course is to apply one’s cumulative understanding and skills learned from two years of course work. This seminar is structured around a series of assignments and milestones during which the students will be encouraged to work collaboratively among themselves and occasionally with other faculty members in their area of interest. The goal is to provide a structured approach to produce a research work plan and milestones for their third year by the end of the semester. This course does not aim to provide additional substantive material or methodological toolkit, the way typical graduate course do. From the perspective of one’s program of study, however, this course poses a real-world test helping to make a realistic transition from coursework to dissertation.
040665:1
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BUSADM 780 - Advanced Data Mining and Predictive Modeling
3 Credit(s) | |
Description:
One of premiere challenges businesses face today is how to take advantage of the vast amounts of data they can easily collect. Data mining is used to find patterns and relationships in data, and is integral to business analytics and fact-based decision-making. This course covers current data mining and predictive modeling techniques including algorithms for classification, association, and clustering; the course also covers text mining techniques such as Latent Semantic Analysis and Latent Dirichlet allocation. Current software tools will be introduced to apply data mining techniques with approaches used for building effective models, such as sampling strategies, data transformation, feature selection and ensemble methods, will be incorporated. The techniques and approaches covered int his course will be examined in the context of current research and methodological use in the field of Information Systems.
039833:1
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BUSADM 782 - Optimization for Data Science
3 Credit(s) | |
Description:
This course teaches optimization theory and techniques that are powerful and important tools for conduction research in Data Science area. Optimization techniques can be used for mining and analytics of complex systems in Data Science field, which can greatly impact the decision making process in this area. This course covers linear and discrete optimization techniques including linear programming, integer programming, and network optimization; and emphasizes on how they can be applied to research problems. It focuses on effective formulation, techniques, basic mathematical and algorithmic concepts, and software solution of large-scale problems arising in Data Science applications.
039834:1
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BUSADM 785 - Big Data: Management, Analytics, and Applications
3 Credit(s) | |
Description:
This course covers a new and increasingly popular method of conduction research using large scale data analysis. The advent of the Internet, Social Media and subsequently machine generated data has enabled social scientists to have access to extremely large datasets about the behavior of millions (or billions) of people or objects. However, collecting, storing, and analyzing this data isn’t straightforward and requires specific skills. The goal of this course is to help students gain the skills required for this type of research while exposing them to tools and big data research streams. The course will help students understand both both the challenges and the opportunities and assist them to appreciate research related to the Big Data.
039835:1
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BUSADM 797 - Special Topics
1 - 6 Credit(s) | |
Description:
This course offers study of selected topics within this subject. Course content and credits vary according to topic and are announced prior to the registration period.
037933:1
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BUSADM 891 - Dissertation Proposal Course
3 - 6 Credit(s) | |
Description:
This course is an elective for Ph.D. students. The goal of this course is to help students transition from coursework to dissertation, and includes a structured series of discussions, assignments, and presentation. Students will apply their cumulative understanding and skills from Ph.D. courses. This course will not provide additional substantive, theoretical, or methodological training, but instead organize everything being learned and learned to date to prepare and defend their dissertation proposal.
Enrollment Requirements:
Department consent
041005:1
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BUSADM 895 - Independent Study
1 - 6 Credit(s) | |
Description:
Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project. The proposal should be signed by both the student and the faculty sponsor.
038472:1
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BUSADM 896 - Independent Study
1 - 6 Credit(s) | |
Description:
Independent study credit is granted only for academic work not normally offered in advanced courses. A student must find a faculty sponsor for his or her independent study project and then file a proposal for the project. The proposal should be signed by both the student and the faculty sponsor.
038471:1
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BUSADM 897 - Special Topics
1 - 6 Credit(s) | |
Description:
Special topics in Susiness Administration
038714:1
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BUSADM 899 - Dissertation Research
1 - 12 Credit(s) | |
Description:
This is a placeholder course for students to enroll while conducting doctoral research and writing their dissertation under the supervision of a dissertation committee. It allows students to register for required dissertation credits towards a Ph.D. in Business Administration.
040838:1
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Chemistry |
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CHEM 561 - Formative Assessment in Chemistry Teaching
3 Credit(s) | |
Description:
This course, designed for middle and high school chemistry teachers with at least three years of experience in teaching chemistry, focuses on designing, adapting, and using formative assessments that elicit students’ chemical thinking. Throughout the course, teachers build and analyze assessment portfolios and annotated chemistry formative assessment tools that illustrate how different learners’ chemical thinking is elicited, and assessment snapshots that capture formative assessment classroom implementation. Perspectives of responsive teaching and chemical thinking are applied to analyzing formative assessment tools and making sense of learners’ responses to formative assessments from various chemistry instructional materials or designed by teachers taking the course.
040298:1
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CHEM 562 - Chemistry Classroom Discourse
3 Credit(s) | |
Description:
This course, designed for middle and high school chemistry teachers with at least three years of experience in teaching chemistry, focuses on facilitating and analyzing classroom discourse when implementing chemistry formative assessments. Throughout the course, teachers continue to build and analyze assessment portfolios and annotated formative assessment tools, as well as assessment snapshots that capture formative assessment classroom implementation. This course builds on understanding of chemistry formative assessments and focuses on analyzing classroom discourse, specifically studying teaching purposes, relationships of teacher-student and student-student discourse to chemistry content, communicative approaches, patterns of discourse, and teacher decision making and interventions.
Enrollment Requirements:
CHEM 561
040299:1
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CHEM 601 - Thermodynamics & Kinetics
4 Credit(s) | |
Description:
Advanced physical chemistry with an emphasis on thermodynamics, chemical kinetics, and statistical mechanics with applications to problems in chemistry.
011871:1
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CHEM 602 - Quantum Mechanics & Spectroscopy
4 Credit(s) | |
Description:
Advanced physical chemistry with an emphasis on modern theories of the structure of matter, including the principles of quantum mechanics, the electronic structure of atoms and molecules, chemical bonding, and atomic and molecular spectra.
011873:1
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CHEM 611 - Organometallic Catalysis
4 Credit(s) | |
Description:
CHEM 611 is an advanced inorganic graduate course with a focus on transition metal organometallic chemistry. The structural and electronic properties of transition metal organometallic complexes are discussed using ligand field theory to develop and advanced understanding of transition metal-ligand bonding interactions. Characteristic transition metal mediated chemical transformations are discussed and their application in catalytic transformations or organic substrates and small molecule activation (proton reduction, water oxidation, CO2 reduction, N2 reduction) discussed.
011877:1
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CHEM 612 - Physical Inorganic Chemistry
4 Credit(s) | |
Description:
Study of the physical chemistry aspects of modern inorganic chemistry. Ligand field is applied via symmetry derived group theory principles to understand structural and spectroscopic properties of organic chromophores and transition metal complexes. Advance theories of inorganic photochemistry and electrochemistry are covered and their application discussed with respect to renewable energy technologies, e.g. solar energy and carbon dioxide conversion.
Enrollment Requirements:
Graduate student in CHEM or permission of instructor
011875:1
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