Jun 22, 2024  
2017-2018 Graduate Studies Bulletin 
    
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2017-2018 Graduate Studies Bulletin [ARCHIVED BULLETIN]

Course Descriptions

 

Audiology (AUD)
  

  • AUD 570 - Clinical Externship in Audiology


    Semester Hours: 1
    Fall, Spring, Summer 
    This seminar course, conducted during the clinical externship experience, is designed to supplement the student’s understanding of the advanced principles and practices of diagnostic audiology, balance disorders, audiologic (re)habilitation, electrophysiological measures and audiological counseling. Further seminar discussion will include review of ASHA guidelines/requirements and New York State license requirements for practicing audiologists. Seminar will include, but is not limited to, discussion and presentation of audiologic cases from routine to challenging.

    Prerequisite(s)/Course Notes:
    Pass/Fail grade only. Repeatable for credit up to 3 s.h.
  
  
  

  • AUD 700 A-Z - Special Topics in Audiology


    Semester Hours: 1-3
    Periodically
    This is an investigation of advanced, specialized and emerging topics in audiology. Students are given the opportunity to explore topics that are not covered in other required courses. A hands-on component may be included, where appropriate.

    Prerequisite(s)/Course Notes:
    May be repeated for up to 9 semester hours when topics vary. Specific titles and course descriptions for special topics courses are available in the online class schedule.  Pass/Fail grade only.

Biology (BIO)
  

  • BIO 200 - Computer Utilization in Biological Research


    Semester Hours: 3
    Periodically
    Lectures and laboratory experiences concerning the use of Geographic Information Systems in a multidisciplinary context, with specific applications in natural sciences (e.g., biology, geology) and applied sciences (e.g., engineering). Hands-on laboratory exercises with current software to provide practical experience in editing, integration, geocoding, display and analysis of spatial and non-spatial data through multilayered maps using data from various sources. Emphasis will be given to case studies such as remote sensing, mapping important resources, home range analysis, and vegetation patterns for land use planning, environmental impact studies, asset management, and transportation engineering. Students will be expected to work on an independent project, analyzing a substantial data set relevant to the theory and techniques covered in class.
  

  • BIO 201 - Statistical Analysis of Biological Data


    Semester Hours: 4
    Periodically
    Practical application of statistical techniques to the analysis of data typically encountered by researchers in the life and health sciences. Students learn practical and intuitive approaches to choosing statistical techniques appropriate for particular experimental designs. Parametric statistical tests covered include single and two-way ANOVA, regression and correlation. Tests of “messy” or nonparametric data are considered as well, including analysis of frequencies and substitutions for ANOVA (2 hours lecture, 1 hour recitation).
  

  • BIO 202 - Laboratory/Research Techniques for K-12 Biology Teachers


    Semester Hours: 3
    Summer
    This course is designed to help K-12 school teachers develop either cell/molecular or ecology/evolution research methods classes and inquiry-driven laboratory experiences for their students. The course will introduce teachers to model systems that can be applied to research and inquiry-based laboratories. Model organisms, subject matter, and targeted school level may change with separate offerings of this course. Course content will include the basic biology of the organisms and an introduction to the types of research for which the organisms are currently being used. Techniques that can be used for inquiry-driven investigations will be introduced. In the second half of the course, class participants will work in groups to design new experiments or avenues of investigation.

    Prerequisite(s)/Course Notes:
    The course may be repeated for credit when the model systems covered change. May not be taken on a Pass/Fail basis.
  

  • BIO 203 - Advanced Field Ecology


    Semester Hours: 3
    Periodically
    This course includes lectures, laboratory and field experiments, and field trips to selected geographic regions and/or habitats. Areas of study include techniques of specimen collection, preservation, identification, field data collection and analysis, and students will gain experience with tools and electronic equipment commonly used in field ecological studies. Comparative studies of terrestrial plants and animals in the field are stressed. An independent research project will be designed, carried out, and reported by each student. This course is recommended for students considering ecological field research.

    Prerequisite(s)/Course Notes:
    An undergraduate course in general ecology; permission of instructor. Fee varies depending on location and content of course.
  

  • BIO 204 - Advanced Coastal Marine Biology


    Semester Hours: 3
    Periodically
    An intensive, field-oriented course covering the biological, chemical, geological and physical features of coasts and seas. Lectures and field work emphasize the taxonomy, ecology and behavior of marine species from habitats such as coral reefs, mangroves, mudflats, rocky shores, salt marshes and sandy beaches. Students will employ sampling techniques to study factors that influence the abundance and distribution of marine species. Primary scientific literature will be used to critically evaluate the ecological role and adaptations of species in the major habitats of the selected geographic region for the course.

    Prerequisite(s)/Course Notes:
    Permission of instructor. Fee varies depending on location and content of course.
  

  • BIO 205 - Marine Microbiology


    Semester Hours: 3
    Spring
    This course concerns morphology, physiology, ecology and distribution of marine and estuarine bacteria, algae, fungi, protozoa and other planktonic organisms. Biological corrosion, pollution, pathogenicity and economic significance of marine microorganisms will also be considered.

    Prerequisite(s)/Course Notes:
    Undergraduate courses in microbiology, cell biology or biochemistry, or permission of instructor.
  

  • BIO 206 - Foundations of Modern Biology for Middle- and High-School Biology Teachers


    Semester Hours: 3
    Once a Year
    An in-depth consideration of the overarching concepts of modern biology for graduate students in biology-education programs. Basic unifying concepts in biology will be studied in an historical perspective to demonstrate how the process of science leads to scientific knowledge. Common misunderstandings of basic concepts will be explored. Students will develop activities for classroom and laboratory teaching of commonly misunderstood concepts. Emphasis will be placed on genetics, evolution, and ecology, and on inquiry-driven activities.

    Prerequisite(s)/Course Notes:
    SED 235 ; minimum GPA of 2.75. May not be taken for credit toward a BA or BS in biology. Permission of instructor and biology graduate program director required for credit toward MS  or MA  in integrative biology.  May not be taken on a Pass/Fail basis.
  

  • BIO 207A - Biology of Fishes


    Semester Hours: 3
    Every Other Year
    Anatomy, systematics, biogeography, respiration, osmoregulation, buoyancy and sensory systems of marine and freshwater fishes. The course concludes with a discussion of the interactions between humans and fishes, including poisonous and venomous fishes and fisheries management and conservation.

    Prerequisite(s)/Course Notes:
    Undergraduate course work in comparative anatomy or marine biology, or permission of instructor.
  

  • BIO 208 - Biology of Mammals


    Semester Hours: 3
    Every Other Fall
    This course explores the biology, conservation, and management of terrestrial and marine mammal species in North America. Topics include distribution, physiology, behavior, commercial value, and viability of game and non-game species – from woodrats to whales. Physiology, behavior, and conservation will be discussed from an evolutionary perspective.
  

  • BIO 209 - Anatomy and Physiology for Medical Physics


    Semester Hours: 3
    Fall
    This course provides an understanding of basic human anatomy and physiology, with an emphasis on identification of anatomical structures of the major organ systems, using radiographic visualization techniques such as X-ray or CT images. Students will relate the various modalities used for diagnostic imaging to anatomical structure and physiological function.

    Prerequisite(s)/Course Notes:
    Open only to students enrolled in the MS program in medical physics  with a minimum GPA of 3.0 in course work in medical physics or permission of program director. May not be taken on a Pass/Fail basis. (Formerly Diagnostic Imaging in Human Anatomy and Physiology.)
  
  

  • BIO 212 - Chromosome Biology


    Semester Hours: 3
    Periodically
    This course concerns the structure, function and behavior of chromosomes in eukaryotes, prokaryotes and viruses. Also considered are lampbrush and polytene chromosomes in differentiation, the mitotic apparatus, and the synaptonemal complex.

    Prerequisite(s)/Course Notes:
    A course in genetics or permission of instructor. May not be taken on a Pass/Fail basis.
  

  • BIO 213 - Current Topics in Genetics and Evolution


    Semester Hours: 3
    Once a Year
    A problem-based overview of biology for graduate students. Designed for students with little or no prior experience in biology course work, this course covers the basics of genetics, the function and manipulation of DNA, evolution, and ecology. Problems within each topic allow the student to understand the conceptual basis of the topic and obtain the skills needed to approach more complex issues.

    Prerequisite(s)/Course Notes:
    May not be taken for credit toward a BA or BS in biology, or MS  or MA  in integrative biology. Recommended for elementary education majors. May not be taken on a Pass/Fail basis.
  

  • BIO 217 - Biology of Birds


    Semester Hours: 4
    Periodically
    This course covers the biology of birds, including evolution, systematics, physiology, and behavior.  The laboratory portion emphasizes learning about the birds of Long Island and study of bird biology in the field. Occasional Saturday field trips occur.

    Prerequisite(s)/Course Notes:
    An undergraduate course in ecology and evolution, or permission of instructor. May not be taken on a Pass/Fail basis. Credit for this course or BIO 108, not both. Lab fee additional. (Formerly 3 s.h.)
  

  • BIO 220 - Endocrinology


    Semester Hours: 3
    Periodically
    The role of the major endocrine glands in controlling overall homeostasis will be addressed, focusing primarily on mammals. This course will take an integrative approach, highlighting the molecular and cellular events leading to proper functioning of the endocrine organs. In addition, the pertinent methodologies used in the field will be discussed.

    Prerequisite(s)/Course Notes:
    An undergraduate course in cell biology or permission of instructor.
  

  • BIO 225 - Principles of Systematic Biology


    Semester Hours: 3
    Periodically
    This course is devoted to the study of the diversity and evolution of living organisms. The theory and practice of biological systematics, from the description of new species to the reconstruction of the phylogenetic relationships of higher taxonomic groupings, will be presented. Current topics in systematics will be explored utilizing primary scientific sources. Students will learn computer programs for phylogenetic reconstruction and will complete an analysis of their chosen taxonomic group.

    Prerequisite(s)/Course Notes:
    An undergraduate course in evolution or permission of instructor. No credit for BIO 225 if BIO 122 is on undergraduate transcript.
  

  • BIO 227 - Behavioral Ecology


    Semester Hours: 3
    Every Other Year
    This course reviews the fundamental principles of behavioral ecology, and explores current topics receiving particular attention in the field, including, but not limited to, parental care, parent-offspring conflict, sexual selection, sperm competition and mating systems, resource exploitation, foraging strategies, life history strategies, cooperation and sociality. Students will use both text and primary literature to develop an in depth knowledge of experimental design and theory of behavioral ecology in the context of current trends and controversies in the field. Students will research and introduce current primary literature to the class and will write a grant proposal.

    Prerequisite(s)/Course Notes:
    Credit given for this course or BIO 253A, Special Topics in Behavioral Ecology, not both. (Formerly BIO 253A Special Topics in Behavioral Ecology.)
  

  • BIO 228 - Advanced Organismal Biology


    Semester Hours: 2-4
    Periodically
    Lectures and laboratories will explore advanced topics in organismal biology. Students will critically analyze findings in the primary scientific literature on the ecology and evolution of selected taxa. Specific topics vary by semester.

    Prerequisite(s)/Course Notes:
    A course in general ecology, evolution; or permission of instructor. May be repeated for credit when topics vary. May not be taken on a Pass/Fail basis.
  

  • BIO 230 - Plant Ecology of Long Island and Adjacent Areas


    Semester Hours: 4
    Periodically
    Taught in the field and in the lab, dealing primarily with organisms encountered on the field trips. Emphasis on field observation, laboratory study, identification and ecology of plants on Long Island and adjacent areas.

    Prerequisite(s)/Course Notes:
    Introductory general biology course sequence which included introductory botany or ecology. May not be taken on a Pass/Fail basis. Lab fee additional.
  
  

  • BIO 232 - Advanced Scientifc Writing


    Semester Hours: 1
    An advanced scientific writing workshop designed to prepare students for scientific publishing in professional or academic settings.  This preparation will include an opportunity to reflect on the nature and placement of good writing in the sciences.  Each student will write a paper based on their own research or produce an original structured literature review. Students will also perform peer review for projects by their classmates. An examination of scientific correspondence, literature reviews, pedagogy, and/or reports may be included.

    Prerequisite(s)/Course Notes:
    Graduate students in the life or physical sciences, public health, or medicine.  Juniors and seniors majoring in life or physical sciences, mathematics, engineering, health communication, or the social sciences may also enroll or by permission of the instructor. Offered as a 1-credit workshop. May be repeated for a maximum of 4 semester hours. Same as WSC 232  .  Credit given to this course or WSC 232  , not both. May not be taken on a Pass/Fail basis.



  

  • BIO 234 - Experimental Molecular Biology


    Semester Hours: 4
    Periodically
    This laboratory-intensive course provides students with a solid foundation in practical basic and advanced molecular biological techniques, including their theory and applications to biological and medical research. Students gain skills in nucleic acid isolation and characterization and protein expression techniques, as well as fundamental bioinformatics tools. Genomic approaches and current advances in molecular techniques are also explored through a series of hands-on projects, presentations, and readings from the primary scientific literature.

    Prerequisite(s)/Course Notes:
    One semester undergraduate organic chemistry and at least one of the following courses: upper-level undergraduate genetics, cell biology, or biochemistry. May not be taken on a Pass/Fail basis. Lab fee additional. (2 hours lecture, 4 hours laboratory each week.)
  

  • BIO 235 - Hormones and Behavior


    Semester Hours: 3
    Spring
    This course provides a foundation for understanding current issues in endocrinology by focusing on hormone effects on behavior. This is accomplished through exploration of the evolutionary trajectory of hormones and investigation of their effects across various taxa.  

    Prerequisite(s)/Course Notes:
    Undergraduate course work in physiology and animal diversity, or permission of instructor.  May not be taken on a Pass/Fail basis.
  

  • BIO 236 - Microbial Pathogenesis


    Semester Hours: 3
    Periodically
    The mechanisms of pathogenesis by which cellular microbes invade animal and plant hosts will be explored principally through the analysis of primary literature. Emphasis will be on human bacterial pathogens, although important protist and fungal pathogens will be discussed. Topics include, but are not limited to, pathogen colonization, immune evasion, toxin production and action, biofilms and quorum sensing, and the role of normal microflora in disease prevention.

    Prerequisite(s)/Course Notes:
    Undergraduate course work in microbiology or permission of instructor. May not be taken on a Pass/Fail basis.
  

  • BIO 237 - Biochemical Mechanisms in Cell Biology


    Semester Hours: 3
    Periodically
    This course covers recent research concerning the biochemical mechanisms involved in regulating various processes in cell biology. Selected advanced topics may include: transcellular signaling, vesicle traffic, quality control of protein synthesis, protein translocation, nuclear transport, extracellular matrix, cytoskeletal function and G-protein function. Students analyze recent reviews and journal articles from the primary literature.

    Prerequisite(s)/Course Notes:
    An undergraduate course in cell biology or genetics, or permission of instructor. May not be taken on a Pass/Fail basis.
  

  • BIO 238 - Modern Laboratory Techniques


    Semester Hours: 4
    Periodically
    Once thought to be the purview only of cell and molecular biologists, molecular and cellular methods are now commonly used to solve problems in all sub-disciplines of biology, including conservation, ecology and physiology. This course provides students the opportunity to learn and practice techniques commonly used in biology, biochemistry, and genetics laboratories while solving specific biological problems. The specific techniques learned may vary depending on the biological problems that are addressed each semester. Polymerase chain reaction (PCR)-related techniques, recombinant DNA methods for prokaryotes and eukaryotes, cell culture, DNA, RNA and protein purification, molecular separation methods including gel electrophoresis, immunoassays, light-level microscopy (phase contrast, fluorescence), protein activity assays, DNA sequencing, nucleic acid and protein hybridizations, and genomic database searches are examples of the techniques that may be learned. 

    Prerequisite(s)/Course Notes:
    An undergraduate course in cell biology or biochemistry is strongly recommended. Students will be expected to work in teams and complete some experimental protocols outside of regularly scheduled class sessions. No credit for BIO 238 if BIO 139 is on undergraduate transcript. Lab fee additional.
  

  • BIO 240 - Virology


    Semester Hours: 3
    Periodically
    This course concerns molecular and clinical aspects of viruses that infect humans, including replication, gene expression, changes in host cells, pathogenesis, and transmission. Particular attention is paid to Human Immunodeficiency Virus – the cause of AIDS.

    Prerequisite(s)/Course Notes:
    An undergraduate course in cell biology or genetics, or permission of instructor.
  

  • BIO 242 - Molecular Medicine


    Semester Hours: 3
    Once a Year
    In this course, primary and secondary sources are used to learn about human disease pathology and intervention at the molecular level. Specific diseases covered each semester vary and only two or three broad categories of disease are typically considered each semester (for example, metabolic syndrome, neurodegenerative diseases, and autoimmune diseases). In addition to exploring human disease at a molecular level, this course is also designed to help students become proficient in reading, synthesizing and writing about scientific literature.

    Prerequisite(s)/Course Notes:
    Undergraduate courses in cell biology and genetics, or permission of the instructor. May not be taken on a Pass/Fail basis. (Formerly BIO 253A, Special Topics in Biology: Molecular Medicine.)
  

  • BIO 243 - Advanced Developmental Biology


    Semester Hours: 3
    Periodically
    A study of the morphological events that occur during embryogenesis, combined with an investigation of the cellular and molecular mechanisms that underlie these events. Included are in-depth investigations of a number of animals that have become standard models for studies in developmental biology. Students are required to prepare individual or group-based oral presentations.

    Prerequisite(s)/Course Notes:
    A background in cell biology and genetics or permission of instructor. May not be taken on a Pass/Fail basis.
  

  • BIO 244 - Biology of the Cancer Cell


    Semester Hours: 3
    Periodically
    This course concerns various aspects of cancer cell biology on the histological, cellular and molecular levels. Emphasis is on basic research problems including cancer as a misprogramming of normal development, alterations in cell-cell recognition, changes in nuclear events, the oncogene theory, and the mechanisms of action of chemical carcinogens.

    Prerequisite(s)/Course Notes:
    An undergraduate course in genetics and either cell biology or biochemistry, or permission of instructor.
  
  
  
  

  • BIO 254 - Insect Biology


    Semester Hours: 4
    Periodically
    Through lectures, labs and field excursions, students will examine insect structure, physiology, ecology, life histories, behavior, and the impact of insects on humans. Students will be required to complete an in-depth study of some topic covered in class and present their findings both in a written paper, and orally to the class. Furthermore, they will be expected to prepare an insect collection (3 hours lecture, 3 hours lab).

    Prerequisite(s)/Course Notes:
    Credit for this course or BIO 154, not both. The course may require field trips outside of regularly scheduled class sessions. May not be taken on a Pass/Fail basis. Lab fee additional.
  

  • BIO 255 - Current Topics in Genetics


    Semester Hours: 3
    Periodically
    This course covers recent research in genetics. Students are required to read, understand and discuss primary research articles in genetics and are evaluated on the basis of preparation, participation and understanding of the material. 

    Prerequisite(s)/Course Notes:
    A course in genetics and permission of instructor. (Formerly Seminar: Current Topics in Genetics, 2 s.h.)
  
  

  • BIO 270 - Physiological Ecology and Functional Morphology of Aquatic Vertebrates


    Semester Hours: 3
    Periodically
    This course covers how fish, aquatic amphibians, reptiles, and birds interact with the environment. The primary focus of the course is fish. It uses an interdisciplinary approach encompassing the areas of anatomy, function, physiology and ecology. Particular attention is given to the way these vertebrate groups overcome problems associated with aquatic life.

    Prerequisite(s)/Course Notes:
    An undergraduate course in vertebrate anatomy or physiology, or permission of instructor. May not be taken on a Pass/Fail basis.
  

  • BIO 273 - Genomics and Bioinformatics


    Semester Hours: 4
    Periodically
    Large-scale, genome-wide studies produce vast amounts of biological data (e.g., DNA and protein sequences, 3-D structures, and changes in gene expression). The fields of genomics and bioinformatics apply computational tools and skills to how these data are stored, accessed, manipulated, and most importantly, used to answer biological questions related to, for example, evolution, population dynamics, and gene expression. In this course, students will learn, by completing an advanced genomics project, how genome-scale data are generated and analyzed using bioinformatics tools and databases. Students will also lead discussions of the applications of genomics and bioinformatics to medicine, evolution, and biomedical research.

    Prerequisite(s)/Course Notes:
    An undergraduate course in genetics or molecular biology and permission of instructor. Credit given for this course or BIO 173 or CSC 121 or BIO 213 .
  

  • BIO 275 - Advanced Conservation Biology


    Semester Hours: 3
    Periodically
    This course reviews the basic topics in conservation biology and considers, in detail, advanced topics. Topics include the origin and measurement of genetic species and ecosystem biodiversity, ancient and contemporary extinction processes, species and ecosystem management, and the political and economic aspects of biodiversity preservation. Students use computer simulations to compare strategies for managing and restoring endangered species and ecological communities (2 hours lecture, 1 hour recitation).
  

  • BIO 280 - Molecular Ecology


    Semester Hours: 3
    Periodically
    Molecular techniques are now instrumental in a wide range of applications from conservation biology to evolutionary ecology. Students will explore the types and applications of molecular genetic tools to investigate ecological processes, from tracking individuals and monitoring within population variation, to large-scale analysis of community composition. The majority of the course will focus on discussions of the primary literature, supplemented by short lectures, textbook readings, and computer-based analysis and problem sets. The class will include a multi-week simple molecular ecology laboratory exercise designed to demystify the basics of molecular bench work.

    Prerequisite(s)/Course Notes:
    Lab fee additional. (Formerly BIO 253A: Special Topics in Biology: Molecular Ecology.) May not be taken on a Pass/Fail basis.
  

  • BIO 281 - Conservation Genetics


    Semester Hours: 3
    Periodically
    Conservation genetics focuses on themes such as: the loss of genetic variation in small populations, the effects of inbreeding, the genetic management of threatened species, and the contributions of molecular genetics to conservation. This course covers the conceptual background necessary for understanding the importance of genetic diversity in the avoidance of species extinctions. Students will learn about genetic diversity and allele and genotype frequencies and how to apply these concepts to understanding population evolution and species management. Complementing the theoretical aspects of the course will be methods for assessing and describing genetic diversity, and for assessing the risk of extinction of populations of plants and animals.

    Prerequisite(s)/Course Notes:
    At least one undergraduate course in genetics. May not be taken on a Pass/Fail basis.
  
  
  

  • BIO 303 - Master’s Essay


    Semester Hours: 3
    Fall, Spring
    Library-based research paper comprising a critical review of scientific literature on a selected topic. The thesis portion is the student’s own evaluation of the topic. Course includes a public oral presentation and examination.

    Prerequisite(s)/Course Notes:
    Permission of instructor. Recommended prerequisite or corequisite: BIO 201 . Upon completion, students must submit their Hofstra University master’s thesis online through the Axinn Library Serials Office.
  
  

  • BIO 307 - Internship in Biology


    Semester Hours: 1-3
    Fall, Spring, Summer
    Intensive work to enable the student to develop practical expertise in the field.

    Prerequisite(s)/Course Notes:
    Admission to the concentration. Students may choose from a large selection of participating facilities including (but not limited to) a neighboring institution, a museum, or a zoological park/aquarium. (Formerly Internship in Marine or Freshwater Biology.)

Business Analytics (BAN) (*Formerly QM*)
  

  • BAN 203 - Advanced Quantitative Analysis for Managers


    Semester Hours: 3
    Fall, Spring
    Regression modeling, analysis of variance, time series analysis and business forecasting methods and nonparametric methods. Use of statistical packages.

    Prerequisite(s)/Course Notes:
    Statistics for Business Applications Residency Workshop or approved equivalent. Credit given for this course or QM 210, not both. Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements.
  
  
  
  

  • BAN 230 - Spreadsheet Modeling and Decision Making


    Semester Hours: 3
    Fall, Spring
    This course explores how spreadsheets are used as a tool to model, solve, and report solutions to business problems. Topics include linear programming, network analysis, integer programming, nonlinear programming, multi-criteria decision making, and simulation modeling.

    Prerequisite(s)/Course Notes:
    Prerequisite: MBA 202W , 203W , 204W , or the approved equivalent. (Formerly Mathematical Programming.)
  

  • BAN 235 - Advanced Statistical Modeling in Finance


    Semester Hours: 3
    Periodically
    This course will provide the student with a comprehensive understanding of statistical modeling techniques that are widely used in applied modeling of financial data. Emphasis will be placed on model development, validation and interpretation, in the context of real applications to financial and economic data.  Topics will include time series regression, including cointegration and volatility models, panel data modeling, and qualitative response models, such as Logistic and Probit models.  Students will gain a working knowledge of at least one industry standard statistical package.

    Prerequisite(s)/Course Notes:
    BAN 203  or approved equivalent. Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements. Credit given for this course or FIN 235 , not both.
  
  

  • BAN 255 - Quality Management and Statistical Quality Control


    Semester Hours: 3
    Periodically
    Criteria for quality in a wide range of business and organizational activities, managerial roles in quality assurance, total quality system approach, vendor quality control, quality cost programs, quality motivation programs, quality circles, quality control in service industries, quality reporting information systems and statistical techniques for quality assurance. Course emphasizes case oriented approach.

    Prerequisite(s)/Course Notes:
    BAN 203 . Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements.
  

  • BAN 257 A-Z - Seminar: Special Topics in Business Analytics


    Semester Hours: 3
    Periodically
    An advanced in-depth treatment of special topics. Current topics are explored through a variety of methods, such as lectures, projects and case studies. As individual subjects are selected, each is assigned a letter which is affixed to the course number. Students may take up to two of these courses to fulfill their major requirements so long as each seminar has a different letter designation. Specific titles and course descriptions for special topics courses are available in the online class schedule.

    Prerequisite(s)/Course Notes:
    BAN 203  and any additional prerequisites as stated in the course schedule. Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements.
  

  • BAN 265 - Python for Data Analysis*


    Semester Hours: 3 s.h.

    Spring

    This course will introduce the student to the python programming language for analyzing data. The major topics include data manipulation, cleaning techniques using the popular python pandas data science library and the abstraction of the DataFrame as the central data structure for data analysis. The course will end with a statistics primer, showing how various statistical measures can be applied to pandas DataFrames. By the end of the course, students will be able to take tabular data, clean it, manipulate it and run basic inferential statistical analyses.

    Prerequisite(s)/Course Notes:
    BAN 203 .
  

  • BAN 266 - Programming in R for Analytics


    Semester Hours: 3 s.h.

    Fall, Spring

    This course will provide students the R programming language and critical thinking strategies for analyzing data. The major topics include data importing/exporting, data manipulation, data visualization, and data analysis using common statistical methods. By the end of the course, students will be able to write R scripts to handle data, analyze data, and generate reports for the purposes of managerial decision making in all business areas.

    Prerequisite(s)/Course Notes:
    BAN 203 .
  

  • BAN 271 - Data Visualization for Business Analytics


    Semester Hours: 3
    Fall, Spring
    The course is designed to provide the ability to communicate the implication of data analyses through data visualization for improved decision-making. The focus of this course is on the design and implementation of visual representations of analyses to convey specific findings. Topics covered in this course include visual thinking, graphical displays, interactive methods, and mobile business analytics. Students will learn how to streamline their analyses and highlight their implications efficiently using visualization techniques.

    Prerequisite(s)/Course Notes:
    BAN 203  and 230 .
  

  • BAN 272 - Web Analytics for Managers


    Semester Hours: 3

    Fall, Spring

    The course is an in-depth study of a variety of topics and techniques in the area of web analytics. The course focuses on web data structure/contents/usage, data acquisition from web platform, transformation of unstructured web data into structured data format, analysis of web data using data mining techniques such as classification/clustering/association, sentiment analysis for business decisions, and visualization of unstructured data. The student will learn how web analytics works, how to analyze the unstructured data using web analytics techniques, and how to apply web analytics to business for better decisions.

     

    .

    Prerequisite(s)/Course Notes:
    BAN 203  and IT 270 .
  

  • BAN 273 - Advanced Techniques for Business Analytics


    Semester Hours: 3
    Fall, Spring
    This course is designed to allow students to explore big data architecture, storage, and processing techniques for managing large data sets. This course focuses on understanding and implementing the Hadoop platform which is an open-source software framework written in Java for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. Topics covered in this course include HDFS framework, Hadoop Architecture, MapReduce programming, Pig, and Hive. In this course, students will get practical, hands-on experience by installing Hadoop systems, writing MapReduce programs to handle large size data, and performing data analytics using Pig and Hive.

    Prerequisite(s)/Course Notes:
    BAN 203  and IT 270 .
  

  • BAN 275 - Time Series Analysis of Financial Data


    Semester Hours: 3
    Once a Year
    This course provides the student with a thorough understanding of financial econometrics. Theoretical foundations of financial time series and their implications for testing and modeling are discussed. Econometrics models and tests and their applications to sample financial data are covered. Students will gain working knowledge of at least one industry standard statistical package.

    Prerequisite(s)/Course Notes:
    MATH 072 or approved equivalent, MATH 135A or approved equivalent, MATH 138 or approved equivalent. Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements. Same as FIN 275 .
  

  • BAN 280 - Practicum in Business Analytics


    Semester Hours: 3

    Periodically

    In this practicum students will be responsible for developing the design and execution of a significant business analytics project.  This requirement may be satisfied either by investigating a problem and the corresponding data set developed in field research or a problem and data set provided by the instructor. Students will prepare a report and give an oral presentation on their individual projects.  If the project is field-based, this report and presentation will be given to the sponsoring organization. This project should exhibit the student’s ability to apply the methods and techniques that they have learned in the previous courses in the program.

    Prerequisite(s)/Course Notes:
    Completion of all 5 required courses and 2 additional elective courses for the MS in BAN. It is strongly recommended that this course be taken in the last semester of course work. Open only to matriculated MS in Business Analytics students.



  

  • BAN 285 - Business Process Management


    Semester Hours: 3
    Once a year              
    A course in the design and analysis of business process. Topics include charting and mapping business processes, measuring and analyzing process flows, capacity analysis, process inventory analysis, and process synchronization and improvement.  

    Prerequisite(s)/Course Notes:
    Statistics for Business Applications Residency Workshop or approved equivalent, MGT 203 . Corequisite: IT 203 . Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements. Same as MGT 285 .
  

  • BAN 286 - Statistical Quality Control


    Semester Hours: 3
    Once a year
    A course in the principles of statistical quality control. The course takes the Deming/Shewhart viewpoint that quality is best achieved by the effective management and control of processes. Topics that are covered include defining and documenting a process, attribute and variable control charts, out-of-control patterns, diagnosing a process, and process capability and improvement studies. Statistical software will be used in the solution of problems and analysis of case studies.

    Prerequisite(s)/Course Notes:
    BAN 285  or MGT 285 . Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements. Same as MGT 286 .
  
  
  

  • BAN 291 - Practicum in Quality Management


    Semester Hours: 3
    Once a year              
    A practicum in quality management.  In this practicum students will be responsible for developing the design for a quality improvement project at their respective workplaces. They will prepare a report and give an oral presentation on their individual projects. This project should exhibit the student’s ability to apply the methods and techniques that they have learned in the previous courses in the program. 

    Prerequisite(s)/Course Notes:
    MGT 207 . Corequisites: BAN 287  or MGT 287  and BAN 290  or MGT 290 . Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements. Same as MGT 291 .
  

  • BAN 329 - Graduate Basic Internship


    Semester Hours: 0.5-3
    January, Spring, Summer
    This is a work-study program open to graduate students who are specializing in business analytics.  Students work a minimum of 35 hours in the semester for one credit, a minimum of 70 hours for two credits, or a minimum of 100 hours for three credits in a structured business program offered by a for-profit or not-for-profit organization in their area of specialization.  A written evaluation of the internship work is prepared by the student at the completion of the course. Most, but not all, internship opportunities involve some form of monetary remuneration.

    Prerequisite(s)/Course Notes:
    Nine graduate-level credits with a 3.2 grade point average; and permission of department chairperson. Note: Students may take this course three times if taken as a one-credit class. The maximum number of credits that can be earned with this internship is three credits.  Satisfactory completion of all three credits may help with the computation of a student’s overall grade point average; credits do not satisfy requirements in any major.  Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other schools at Hofstra where appropriate. See specific program requirements.
  

  • BAN 330 - Graduate Internship


    Semester Hours: 3
    Fall, January, Spring, Summer
    A work-study program open to graduate students who are specializing in business analytics. Students work a minimum of 100 hours in the semester for selected business organizations. A written evaluation of a complex decision involving analytics is prepared by the student at the completion of the course. Most internship opportunities involve some form of monetary remuneration.

    Prerequisite(s)/Course Notes:
    Successful completion of 18 graduate-level credits (6 credits in the area of concentration) with a 3.3 grade point average and permission of department chairperson. Open only to matriculated graduate students in the Frank G. Zarb School of Business  and in other Schools at Hofstra where appropriate. See specific program requirements.
  

  • BAN 401A - Quantitative Analysis for Managers


    Semester Hours: 3
    Once a year
    Introduction to concepts and methods in quantitative decision making and analytics which are most useful to executives in managing productive processes. The first part of the course concentrates on data presentation, visualization, characterization, and modeling of randomness and variability using probability theory. Topics included in this module are descriptive statistics, probability, sampling, estimation, and hypothesis testing. The second part of the course concentrates on the use of predictive analytics and experimentation to improve performance. Topics include simple and multiple regression and correlation. Use of spreadsheet and statistical software for effective data analysis will be emphasized throughout the course.

    Prerequisite(s)/Course Notes:
    Open only to matriculated Zarb School of Business EMBA  students. (Formerly 401; 4 s.h.)
  

  • BAN 402 - Spreadsheet Modeling


    Semester Hours: 2
    Periodically
    This course focuses on the construction of spreadsheet models that quantify financial and operational dimensions of managerial decision making. Techniques for analytical modeling covered include: forecasting, optimization, simulation, and decision analysis. These models are applied to a variety of applications including strategic planning, financial management, operations/project management, risk management, pricing, production planning, scheduling and inventory management. The course focus has a managerial perspective.

    Prerequisite(s)/Course Notes:
    Open only to matriculated Zarb School of Business EMBA  students.

Community Health (COMH)
  

  • COMH 202 - History of Public Health


    Semester Hours: 3
    Periodically
    This course will review and analyze community health problems of different historical periods in terms of their political, social and economic patterns. The content provides a historical interpretation of how the theory and practice of public health in today’s world has come to be what it is. Among the topics addressed are prevalence of disease, water supply and sewage disposal, epidemiological theory, occupational health, health education, public health administration, communicable disease control, medical care, and public policy. This material seeks to reveal how the organization of societies facilitates or mitigates the production and transmission of disease. It also asks how populations and groups of individuals go about securing their health. 

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis.
  

  • COMH 204 - Environmental Health


    Semester Hours: 3
    Periodically
    The course will focus on the structure and function of local, state and federal agencies responsible for implementing environmental legislation. Emphasis will also be placed on the duties and authority of different health agencies dealing with environmental issues. The overarching goal is to instill a commitment to public health principles and practices and an understanding of the role of local health services in promoting public health within communities.

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis.
  

  • COMH 206 - Community Needs Assessment


    Semester Hours: 3
    Periodically
    This course provides an in-depth examination of the techniques and methods used for determining community and population needs and assets for community health intervention and readiness for change at the individual, interpersonal, community, institutional and policy levels. Students will learn how to use both primary and secondary data to better understand what types of programs are needed, and how they should be tailored to specific communities. Students will identify and be able to access sources of public health data, such as vital statistics records, disease registries, other surveillance databases, census data, national surveys and medical records. The course will emphasize the role of social, cultural, economic and institutional factors in individual, community and population health status and behavior in order to facilitate the movement toward community self-determination and control of local public health practice.

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis.
  

  • COMH 208 - Design and Implementation of Community Health Programs


    Semester Hours: 3
    Periodically
    This course provides an extensive examination of the planning models which give structure and organization to the program planning process. Students will explore the underlying elements common to all models and understand the elements that differ and how to decide when to apply which model. Special attention will be paid to teaching students how to convert planning, goals and objectives into action through administrative structure, management activities, policies, procedures, relations and other implementation techniques.

    Prerequisite(s)/Course Notes:
    COMH 206  must be taken the semester prior to COMH 208. Students may take these courses out of sequence with adviser approval only. May not be taken on a Pass/Fail basis.
  

  • COMH 220 - Consumer Health Advocacy


    Semester Hours: 3
    Periodically
    This course will provide an opportunity for consumers to learn how to become effective advocates for themselves and others. The curriculum will cover a wide range of topics that directly impact the lives of consumers every day, including welfare, SSI/SSD, housing law, criminal justice and legislative advocacy, managed care, work incentives, supportive housing, career opportunities and community organization.

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis.
  

  • COMH 230 - Mental Health Issues


    Semester Hours: 3
    Periodically
    This course provides an overview and understanding of the significant issues and trends in community and family mental health delivery systems in the United States. Four major areas of mental health will be emphasized: history and legislation; systems delivery; programs and policies; and selected at-risk populations.

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis.
  
  

  • COMH 260 - Supervised Internship in Community Agencies


    Semester Hours: 3
    Periodically
    The internship experience will help students gain an understanding of how community health agencies operate in the real world. The goal is to have students participate in the planning and implementation of health education, advocacy and other community health-related activities. Throughout the internship experience students will record the types of activities they have engaged in or observed in action. They will meet regularly with their faculty advisers to discuss their experience. Students must prepare a portfolio that includes a series of products developed during their internship.

    Prerequisite(s)/Course Notes:
    Department approval of internship site required. 



  

  • COMH 280-289 A-Z - Special Topics


    Semester Hours: 1-3
    Periodically
    Specific courses designed to explore emerging topics in community health.  As individual subjects are selected, each is assigned a letter (A-Z) and added to the course number. Specific titles and course descriptions for special topics courses are available in the online class schedule. Any course may be taken a number of times so long as there is a different letter designation each time it is taken. 

    Prerequisite(s)/Course Notes:
    May not be taken on a Pass/Fail basis. (Formerly Workshops.)

Comparative Arts and Culture (CAAC)
  

  • CAAC 301 - Master’s Essay


    Semester Hours: 3
    Fall, Spring
    Each candidate for the MA in comparative arts and culture  is required to write a substantial master’s essay (in addition to course papers) under the supervision of an appropriate adviser. This may consist of a fresh approach to known material, provided the same thoroughness of scholarship and scholarly presentation obtain as for a more traditional research thesis.

Computer Science (CSC)
  
  
  
  

  • CSC 202 - Computability


    Semester Hours: 3
    Periodically
    An advanced approach to automata, computability, and complexity, with an emphasis on computability. Topics include: regular and context-free languages; decidable and undecidable problems; reducibility; recursive function theory; consideration of time and space measures on computation; completeness; hierarchy theorems; discussion of Turing machines; the halting problem and other undecidable problems.

    Prerequisite(s)/Course Notes:
    Course open to graduate students in computer science, others need permission from computer science graduate director.
  

  • CSC 203 - Privacy in a Wired World


    Semester Hours: 3
    Periodically
    Advances in storage and communication technologies have enabled the collection, storage and dissemination of vast quantities of data. Data owners need to be aware that their data may contain sensitive information about individuals and businesses, and that the use or release of such data may be governed by laws, regulations, and ethical standards. This course focuses on the technical challenges of handling sensitive data, as well as on legal and policy issues that data owners and data users face. Topics covered include: the need for privacy; privacy policies and laws; privacy challenges in technology-related areas such as cloud computing, mobile computing, and RFID; privacy models; techniques for privacy-preserving data analysis and data mining. 

    Prerequisite(s)/Course Notes:
    Open to graduate students enrolled in programs in the Computer Science  Department or by permission of instructor. May not be taken on a Pass/Fail basis.
  

  • CSC 204 - Algorithm Design and Analysis


    Semester Hours: 3
    Periodically
    Review of algorithm basics (Big-Oh, Big-Theta and Big-Omega notation), algorithms for searching, sorting (Mergesort, Quicksort, Heap Sort), median order statistic, hashing, priority queues, red-black trees, AVL trees, dynamic programming, amortized analysis, graph algorithms for shortest path problems, minimum spanning tree, min-cut and max-flow problems and NP completeness.

    Prerequisite(s)/Course Notes:
    Course open to graduate students in computer science, others need permission from computer science graduate director.
  
  

  • CSC 206 - Analysis of Algorithms and Complexity Theory


    Semester Hours: 3
    Periodically
    Asymptotics, recurrence relations, lower bound theory including comparison trees for sorting and searching. Oracles. Lower bounds on parallel computation. Combinatorial optimization. Branch and bound: Knapsack problem, FFT and applications. Integer and polynomial arithmetic. Analysis of divide and conquer algorithms, dynamic programming, greedy algorithms, backtracking. Nondeterministic algorithms. The classes P and NP. NP completeness. Complexity hierarchy.

    Prerequisite(s)/Course Notes:
    CSC 204 . Course open to graduate students in computer science, others need permission from computer science graduate director.
  

  • CSC 207 - Advanced Data Structures


    Semester Hours: 3
    Periodically
    Managing multiple stacks and queues. Stack series. Permutations obtainable from stacks and queues. Concatenatable queues. Locating repeated substrings: an application of stacks. Stack and queue operation sequences. Set representation methods. The union-find algorithm. Trees: Robson traversal, Lindstrom scanning, Siklossy traversal. Generalized lists. Mergeable heaps. Files as a data structure. Storage compaction. Garbage collection.

    Prerequisite(s)/Course Notes:
    CSC 204 . Course open to graduate students in computer science, others need permission from computer science graduate director.
  

  • CSC 208 - Formal Languages, Grammars and Automata


    Semester Hours: 3
    Periodically
    Languages, the grammars that generate them, and the machines that accept them; regular languages; finite automata – deterministic and nondeterministic; transition functions and state diagrams; context-free languages and pushdown automata; context-free grammars and compiler design; context-sensitive languages and linear-bounded automata; closure results.

    Prerequisite(s)/Course Notes:
    Course open to graduate students in computer science, others need permission from computer science graduate director.
  

  • CSC 211 - Computational Biology


    Semester Hours: 3
    Periodically
    This course introduces mathematical techniques for design and analysis of algorithms for many central problems in biological sequence analysis and genome analysis. This course is a theoretical course and complements the more applications-oriented course, CSC 213 . The course will cover algorithms and methods in building models for problems in multiple sequence alignment, motif and pattern searches, phylogenetic analysis, genome assembly, and gene prediction, and is designed so that  it can be taken independently of CSC 213 .

    Prerequisite(s)/Course Notes:
    CSC 204 , or prmission of instructor. May not be taken on a Pass/Fail basis.
  
  

  • CSC 213 - Introduction to Bioinformatics


    Semester Hours: 3
    Periodically
    Bioinformatics introduces computational tools and techniques for modeling and solving some central problems in molecular biology, genetics and biochemistry. Topics include pair-wise sequence alignment; multiple sequence alignment; phylogenetic analysis; database searching; gene finding and regulation; and DNA microarrays. 

    Prerequisite(s)/Course Notes:
    CSC 204 ; No credit awarded if student has credit for CSC 121, BIO 173, or BIO 273 . May not be taken on a Pass/Fail basis.
  

  • CSC 214 - Computation, Modeling and Simulation


    Semester Hours: 3
    Periodically
    Construction of models for computer simulation of real systems. Topics include: probability and statistical estimation techniques; Monte Carlo methods; genetic algorithms; application of modeling to large-scale systems including complex dynamic environments, financial, political, or social systems. Programming using simulation languages.

    Prerequisite(s)/Course Notes:
    CSC 204 , 252 .
  

  • CSC 215 - Secure Systems/Ethical Hacking


    Semester Hours: 3
    Periodically
    This course covers the fundamental aspects of system security and emphasizes hands-on project work with counter-approaches against attacks on computer and information systems. Topics include but are not limited to: cryptography and its applications to security protocols; access control; OS memory organization and buffer overflow; Web application security (SQL injection and Cross Site Scripting attacks); viruses and worms; intrusion detection systems; logging and auditing systems; TCP/IP stack and various attacks on the network layer; firewall and router configurations; botnet and honeynet.

    Prerequisite(s)/Course Notes:
    Open to graduate students enrolled in programs in the Computer Science  Department with background in operating systems; CSC 256  or permission of instructor. May not be taken on a Pass/Fail basis. Credit for this course or CSC 115, not both.
 

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