2019-2020 Graduate Catalog [ARCHIVED CATALOG]
Course Offerings
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Communication Sciences and Disorders |
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CSD 502 - Clinical Procedures and Professional Issues
Prerequisite, CSD majors only. Develop an understanding of the clinical process, clinical terminology, reviewing files, reviewing general disorder areas, understanding communication abilities of clients, positive and negative clinician traits, writing behavioral objectives, teaching and treatment techniques, data collection and analysis, and preparing for first clinical experience. (Offered fall semester.) 3 credits
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CSD 503 - Language Disorders in Children
Prerequisite, CSD majors only. Disorders of language in children ages 3-21; impact on academic performance, high and low incidence disorders; prevention, screening, assessment, identification, and treatment. Principles/techniques of assessment, intervention focus on the periods of emergent language, language for learning, advanced adolescent language, integrated with students’ clinical practicum. (Offered spring semester.) 3 credits
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CSD 504 - Fluency
Prerequisite, communication sciences and disorders major. This course studies detailed information regarding stuttering and fluency disorders in children and adults. Theories of stuttering will be reviewed, culminating in demonstrations of assessment and treatment of disfluency and stuttering, cluttering behaviors that interfere with communication in school or work behaviors and cause emotional stress. (Offered every year.) 2 credits
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CSD 505 - Autism Spectrum Disorders and Early Childhood Assessment
Prerequisite, CSD major. This course studies autism spectrum disorder (ASD) diagnosis, etiologies, and characteristics across the lifespan. Topics will include current, controversial, traditional treatments: applied behavior analysis, theory of mind, weak central coherence, “Extreme Male” theory, biomedical issues, special diets, chelation, and Pivotal Response Theory. Also includes early childhood assessment critical to diagnosis and intervention. (Offered spring semester.) 3 credits
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CSD 506 - Neuroanatomy
Prerequisite, CSD major. This course provides detailed information regarding the peripheral and central nervous systems as they relate to normal speech and voice production, language, cognition and swallowing. Students will gain an increased awareness of neuropathologies that contribute to neurogenic communication disorders and dysphagia. (Offered summer.) 3 credits
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CSD 507 - Augmentative and Alternative Communication (AAC) and Cognitive Aspects of Communication
Prerequisite, CSD major. Course studies include augmentative and alternative communication (AAC), related assistive technology used to aid individuals with complex communication needs (e.g., severe physical impairments, sensory impairments, severe communication disorders, etc.); impact of cognitive, educational, physical, psychosocial, and linguistic aspects of human behavior on AAC use, assessment, intervention, research issues. (Offered summer.) 3 credits
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CSD 508 - Diagnostics and Assessment
Prerequisites, CSD major, satisfactory completion of clinical observation and enrolled in the first clinical placement. Art and science of diagnostic assessment; knowledge/skills to assess communication disorders across the lifespan; interpret assessment findings, communicate results. Test development/measurement validity, reliability, standardized scores. Active test administration; combine case history assessment information to develop client profiles leading to diagnosis, recommendation, treatment goals. (Offered spring semester.) 3 credits
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CSD 509 - School-Based Issues
Prerequisite, CSD major. This course studies issues experienced in the educational system where many speech language pathologists work, including understanding/appreciation of varying processes/procedures, Legislative foundations, referral/assessment process, Student Study Team, IEP process, RTI, service delivery options, state curriculum standards, specialized services, review of SLP role in public school. (Offered fall semester.) 3 credits
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CSD 510 - Adult Language Disorders
Prerequisite, CSD major. Detailed information regarding acquired speech, language and cognitive-communicative disorders, and the neurological conditions that cause them. Students will become familiar with procedures for assessment, treatment, and management of patients in locations ranging from the intensive care unit to outpatient services. (Offered fall semester.) 3 credits
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CSD 511 - Disorders of Swallowing/Dysphagia
Prerequisite, CSD majors only. In-depth study of the anatomy and physiology of the normal swallow in children and adults. Neurological and oncologic disorders which affects the swallowing process. Evaluation of the patient with dysphagia includes clinical and instrumental analysis. Treatment plans based on history and evaluation results will be designed and examined. Historical and current research and its effects upon the assessment and management of swallowing disorders. (Offered spring semester.) 3 credits
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CSD 512 - Multicultural and Second Language Acquisition
Prerequisite, CSD majors only. Current theories on language acquisition and practical application pertaining to culturally and linguistically diverse persons with communication disabilities. Develop cultural competence in assessment, intervention, and family/community interactions; support successful school and healthcare experiences across lifespan; will address use of interpreters and community resources for language difference, disorder, and disability. (Offered spring semester.) 3 credits
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CSD 515 - Advanced Audiology
Prerequisite, CSD major. This course is designed for the speech-language pathologist to understand the clinical procedures in audiology. The course will be divided into three major sections: 1) anatomy, physiology, and disorders of the ear, 2) amplification and prosthetics in audiology and audiologic rehabilitation, 3) special issues in audiology such as Auditory Processing Disorders (APD), counseling issues, and educational audiology. (Offered summer.) 3 credits
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CSD 516 - Counseling
Prerequisite, CSD major. This course will introduce students to the counseling skills needed by speech-language pathologists in their daily interactions with clients/patients and their families. A broad overview of counseling theories and techniques will be provided, with an emphasis throughout the course on “positive psychology” and a wellness perspective. Students will understand the emotional needs of individuals with communication disorders and their families and how communication disorders affect the family system. Counseling needs of individuals with specific disorders will be discussed, including those with fluency disorders, autism spectrum disorders, hearing loss, acquired/adult language and cognitive disorders, and congenital disorders. (Offered summer.) 3 credits
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CSD 517 - Voice, Resonance, Craniofacial and Motor Speech Disorders
Prerequisites, CSD 506 , communication sciences and disorders major. In-depth-study of etiology, interdisciplinary assessment, remediation of voice and motor-speech communicative impairments in children, and adults. Areas of importance include but are not limited to the etiological factors and methodology for prevention, diagnosis, and treatment of functional and organic disorders of voice and neurologically based motor-speech disorders across the lifespan and in diverse populations. (Offered every year.) 5 credits
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CSD 620 - Clinical Practicum
Prerequisite, communication sciences and disorders major. Students will acquire 45 hours of clinical experience in both assessment and intervention in the areas of phonology, language disorders of children, fluency, and autism spectrum disorders. Clinical contact will include linguistically and culturally diverse populations across the life-span in a variety of settings. (Offered spring semester.) 1 credit
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CSD 630 - Clinical Practicum
Prerequisite, communication sciences and disorders majors. Students will acquire 45 hours of clinical experience in patient counseling, diagnostics, assessment, intervention for individuals with cognitive impairment and those who use, or are candidates for AAC devices. Clinical contact with culturally/linguistically diverse populations across the life-span in a variety of settings. (Offered every year.) 3 credits
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CSD 640 - Clinical Practicum
Prerequisites, CSD 620 , communication sciences and disorders major. Students will acquire 105 hours of clinical experience in a school-based speech and language services setting. Clinical contact will include linguistically and culturally diverse populations. (Offered every year.) 3 credits
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CSD 650 - Clinical Practicum
Prerequisites, CSD 506 , CSD 510 , CSD 511 , CSD 620 , CSD 630 , CSD 640 , communication sciences and disorders major. Corequisite, CSD 517 . Students will acquire 105 hours of clinical experience in health-care/medical setting. Clinical contact will include specialty areas of aphasia, cognitive-communication disorders, dysphagia and motor speech disorders with linguistically and culturally diverse populations. CSD 650 may include a paid clinical internship in a health-care setting. (Offered every year.) 3 credits
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CSD 660 - Clinical Practicum
Prerequisites, CSD 620 , CSD 650 , communication sciences and disorders major. Students will acquire 105 hours of clinical experience in paid externship in health-care or school setting. Clinical contact will include linguistically and culturally diverse populations. Students in CSD 660 may focus on a specialty area: voice, cranio-facial disorders, cognitive disabilities. (Offered every year.) 1 credit
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CSD 670 - Directed Research Experience
Prerequisites, CSD 500 , graduate standing, communication sciences and disorders major, consent of instructor, and completed HIPPA and/or CITI training. Graduate students in CSD will learn how to engage in research activities including but not be limited to investigating the identification, assessment, management and treatment of communication differences and disorders. Activities can include reviewing the literature and generating measurable hypotheses, completing human subjects applications for institutional review, recruiting research participants, collecting and managing data, and analyzing data. P/NP. (Offered every semester.) 0 credit
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CSD 680 - Clinical Practicum for Cognitive and Communication Disorders
Prerequisites, CSD 620 , CSD 630 , communication sciences and disorders major. Corequisites, CSD 506 , CSD 510 . Students will acquire hours of clinical experience in the on-campus Learning Lab setting. Clinical contact will include linguistically and culturally diverse populations. Students may enroll in more than one section per term. P/NP. May be repeated for credit. (Offered every semester.) 0 credit
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CSD 685 - Clinical Practicum for Cognitive and Communication Disorders
Prerequisites, CSD 610, CSD 620 , CSD 630 . Corequisites, CSD 506 , CSD 510 . Students will acquire hours of clinical experience in the on-campus Learning Lab setting. Clinical contact will include linguistically and culturally diverse populations. P/NP. (Offered summer.) 0 credit
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CSD 698 - Capstone or Thesis Project
Prerequisites, CSD 500 , CSD 501 , CSD 502 , CSD 503 , CSD 504 , CSD 505 , CSD 506 , CSD 507 , CSD 508 , CSD 509 , CSD 510 , CSD 511 , CSD 512 , CSD 517 , Communication sciences and disorders major. Corequisites, CSD 515 , CSD 516 . Students conduct and write a thesis or capstone project, take the comprehensive exam and prepare for national praxis exam in speech language pathology. Successful completion of this course results in program director recommendation for speech language pathology preliminary SLP service credential, clinical fellowship year (CF), required professional experience (RPE), national praxis examination. (Offered summer.) 2 credits
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Communication Studies |
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COM 600 - Intro to Instructional Communication Theory and Methods
Prerequisites, graduate communication or health and strategic communication major and consent of instructor. Survey of the theory and research in instructional communication. Emphasis is placed on the study of instructional communication behaviors and the role instructor-student communication plays in the instructional setting. (Offered as needed.) 3 credits
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COM 650 - Relational Communication
Prerequisites, HCOM 570 , consent of instructor and graduate communication or health and strategic communication major. Examines the communicative processes by which relationships form, maintain, and terminate. Focuses on friendships, sexual relationships, marriages, and families. Process of attraction, uncertainty reduction, intimacy, relational maintenance, relationship stages, love, transgression, privacy, conflict, and disengagement are examined in depth. (Offered as needed.) 3 credits
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COM 671 - Mass Communication Theory
Prerequisites, graduate communication or health and strategic communication major and consent of instructor. Mass communication from a consumer’s viewpoint. Use of consumer-oriented mass media research also stressed. (Offered as needed.) 3 credits
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COM 672 - Organizational Communication
Prerequisites, graduate communication or health and strategic communication major and consent of instructor. Contemporary research linking communication variables and networks to organizational change, effectiveness, leadership, power, and management practices. Analysis of communication problems within a variety of organizations. (Offered as needed.) 3 credits
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COM 678 - Healthcare Marketing and Branding
Prerequisites, graduate communication or health and strategic communication major and consent of instructor. This course seminar provides an in-depth and empirical examination of healthcare marketing principles. The course will focus on the strategic planning, design and implementation of marketing campaigns for the healthcare industry. The course will critically evaluate the current healthcare landscape and strategically examine current marketing strategies for various healthcare companies including hospitals, pharmaceutical, insurance and device. (Offered as needed.) 3 credits
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COM 696 - Qualitative Research Methods
Prerequisites, graduate communication or health and strategic communication major and consent of instructor. Qualitative research methods in human communication and related professional areas with major emphasis on conducting and evaluation qualitative research procedures. Special focus on practical application. (Offered as needed.) 3 credits
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COM 700 - Communication Theory
Prerequisite, admission to Ph.D. in Communication or consent of instructor. Broad overview of contemporary theories in human communication. Should be taken the first semester of graduate study. (Offered as needed.) 3 credits
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COM 771 - Advanced Topics in Mass Communication
Prerequisites, COM 671 , admission to Ph.D. in Communication or consent of instructor. This course will explore the relationships between Computer Mediated Communication (CMC) and various aspects of human activity. This course investigates established and emerging CMC-based social, cultural, organizational, health, strategic, and instructional activities. (Offered as needed.) 3 credits
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COM 772 - Advanced Topics in Organizational Communication
Prerequisites, COM 672 , admission to Ph.D. in Communication or consent of instructor. This course provides an overview of the history and development of organizational communication. Additionally, current organizational theories and perspectives are investigated. (Offered as needed.) 3 credits
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COM 773 - Advanced Topics in Interpersonal Communication
Prerequisites, HCOM 570 , admission to Ph.D. in Communication or consent of instructor. This course examines how interpersonal communication patterns are linked to relational processes, both as influences and outcomes. Emphasis is on in-depth analysis of social science interpersonal research. (Offered as needed.) 3 credits
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COM 785 - Advanced Quantitative Methods
Prerequisites, HCOM 595 , admission to Ph.D. in Communication or consent of instructor. The aim of the course is to provide students with the methodological skills necessary for them to carry out independent research. Methodological and design considerations are integrated with statistical techniques. Students are trained to be consumers and users of statistics. Applied linkages are developed through the extensive use of the SPSS data analysis package. Students will engage in topics including effect size measures and their associated confidence intervals, power analysis, advanced analysis of variance, regression modelling and regression diagnostics, and bootstrapping. Students are taught these techniques in the context of SPSS and other computer-based data analysis software. (Offered as needed.) 3 credits
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COM 786 - Advanced Qualitative Methods
Prerequisites, COM 696 , admission to Ph.D. in Communication or consent of instructor. Research techniques necessary to conduct original communication research. Emphasis on advanced statistical techniques. (Offered as needed.) 3 credits
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COM 787 - Multivariate Research Methods
Prerequisites, HCOM 595 , admission to Ph.D. in Communication or consent of instructor. The course provides knowledge within multivariate statistics: theory, calculation technique and applications. The course will also provide some deeper studies of the inference theory in multivariate analysis. (Offered as needed.) 3 credits
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COM 797 - Research
Prerequisites, minimum of 27 graduate credits completed, admission to Ph.D. in Communication or consent of instructor. Research activities leading to thesis, problem report, research paper or equivalent scholarly project, or a dissertation. May be repeated for credit. (Offered every semester.) 3-9 credits
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COM 798 - Research
Prerequisites, minimum of 27 graduate credits completed, admission to Ph.D in Communication or consent of instructor. Research activities leading to thesis, problem report, research paper or equivalent scholarly project, or a dissertation. May be repeated for credit. (Offered every semester.) 3-9 credits
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Computational Science |
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CS 501 - Introductory Computation for Scientists
CS 501 is a graduate-level course intended to introduce modern computing tools and techniques to science-oriented students from diverse backgrounds. Assuming little prior knowledge, students will become proficient with a powerful set of inter-operable tools that are suitable for problem-oriented and data-intensive applications now common in modern science. While emphasizing the central role of data (structuring, processing, and visualization), students will use industry-best software development practices to develop efficient implementations and visualizations of numerical solutions to scientific problems. Students will be expected to complete programming assignments in freely available languages such as Python, Julia, C, and C++. (Offered as needed.) 3 credits
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CS 502 - Applied Methods in Mathematics
Prerequisite, MATH 111. In this course students will develop an understanding of the fundamental concepts, solution methodologies, technical applications, and connections of linear algebra and differential equations. (Offered as needed.) 3 credits
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CS 503 - Statistical Methods
Prerequisite, MATH 210, or equivalent. This course will provide a lower graduate level introduction to classical statistical theory. Main concepts such as probability functions, univariate, multivariate, marginal and conditional distributions of random variables, transformations of random variables as well as classical asymptotic results such as the Law of Large Numbers, the Central Limit Theorem, sampling distributions, likelihood, confidence intervals, hypothesis testing, categorical data and linear regression will be emphasized from a more mathematically solid viewpoint. Examples, data, and programming code will be provided to ascertain clarity of all concepts and underline connections with related topics and current research. Examples will be provided to clarify the concepts and underline connections with related topics and current research. Data analyses will be performed via the statistical software package R (http://www.r-project.org). (Offered as needed.) 3 credits
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CS 510 - Computing for Scientists
Prerequisites, CPSC 230, 231. This course provides students with the necessary computer programming and software engineering background required to succeed in advanced study in the computational sciences. The course is organized into three main parts. In the first part of the course students will become proficient with the C++ programming language. The second part of the course will focus on high-performance computing techniques using multiprocessing and multithreading. Finally, the last part of the course will discuss software engineering process and the software development lifecycle. (Offered fall semester.) 3 credits
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CS 520 - Mathematical Modeling
Prerequisites, MATH 211, 350. Mathematical modeling will concentrate on the process of developing mathematical descriptions of physical phenomenon. The main goal of this course is to learn how to make a creative use of some mathematical tools, such as difference equations, ordinary differential equations, and numerical analysis, to build a mathematical description of some physical problems. (Offered fall semester.) 3 credits
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CS 530 - Data Mining
Prerequisite, CS 510 . This course provides an overview of standard techniques and algorithms for data mining and machine learning. Students will be exposed to exploratory data analysis and data cleaning before surveying standard algorithms for classification and clustering. Additionally, students will learn the types of problems each algorithm is best suited to solve. Special attention will be given to efficiency and scalability. Students will apply algorithms to data sets from biology, chemistry, social media, and industry (Netflix Grand Challenge, etc.). (Offered spring semester.) 3 credits
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CS 532 - Computational Economics
(Same as MGSC 532 .) 3 credits
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CS 533 - Computational Methods in Financial Markets
(Same as MGSC 533 .) 3 credits
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CS 555 - Multivariate Data Analysis
Prerequisite, MATH 361, or consent of instructor. This course will provide a graduate level introduction to theory and applications of classical and modern methods for Multivariate Data analysis. Main concepts such as multivariate distributions, matrix algebra, inference, convergence, and estimation will be studied from a more mathematically solid viewpoint. Examples and real-life datasets will be provided to clarify the concepts and underline connections with related topics and current research. Data analyses will be performed using the R statistical software package. (Offered fall semester.) 3 credits
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CS 560 - Applied Partial Differential Equations
Prerequisites, MATH 210, 350. Students will learn how to solve certain types of Partial Differential Equations. They will study the general theory of PDEs, as well as methods of solving linear and non-linear PDEs. Students will also learn how to solve equations that come from the world of physics and other sciences. (Offered as needed.) 3 credits
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CS 564 - Game Theory II
(Same as ECON 564 .) 3 credits
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CS 595 - Computational Science Seminars
Prerequisites, CS 510 , CS 520 , or consent of instructor. Students are introduced to various topics covering computational science and other related topics by attending research oriented seminars. This seminar series is intended to be capstone experience. Seminars presented by faculty, invited speakers and students; topics vary from semester to semester. (Offered spring semester.) 1 credit
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CS 599 - Individual Study
Prerequisites, admission to MS in computational and data sciences, consent of instructor. Directed reading and/or research designed to meet specific needs of graduate students. Topics to be selected by mutual agreement of students and faculty. (Offered as needed.) 1-6 credits
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CS 610 - Models of Computing
Prerequisites, equivalent of MATH 211, CPSC 406. In this course, students will study the mathematical models of computing from a contemporary perspective. The course will explore the connections between classical automata, operational and denotational semantics, and contemporary models of quantum computing. The theory developed in the course will be applied to specific known problems, e.g., in control theory (finite automata), real number computing (operational and denotations models), and cryptography (quantum computing). (Offered as needed.) 3 credits
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CS 611 - Time Series Analysis
Prerequisite, MATH 361, or equivalent. This course will provide a graduate level introduction to theory and applications of classical and modern methods for Time Series analysis. Main concepts such as stochastic processes, stationarity, invertibility, convergence, prediction and estimation will be studied from a more mathematically solid viewpoint. Examples and real-life datasets will be provided to clarify the concepts and underline connections with related topics and current research. Data analyses will be performed using the statistical software package R (http://www.r-project.org). We will be emphasizing the statistical knowledge, software implementation and scientific problem selection that would assist you to write publication quality research papers. (Offered as needed.) 3 credits
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CS 612 - Advanced Numerical Methods
Prerequisite, MATH 350. Students study and come to understand several advanced methods of numerical computation as used in 3d modeling, simulations, and solution of partial differential equations. (Offered as needed.) 3 credits
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CS 613 - Machine Learning
Prerequisite, CS 530 . An introduction to the core algorithms and techniques of machine learning and data mining with emphasis on contemporary big data challenges. Specific topics include information retrieval for data mining, multimedia data mining, data visualization, classification, clustering, and data cleansing. (Offered as needed.) 3 credits
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CS 614 - Interactive Data Analysis
Prerequisites, CS 530 , CS 555 . This course introduces novel ideas and techniques for interactive data analysis. Students will explore concepts related to data interaction, data preparation, data transformation, data modeling and computation, and data presentation. Students will practice interactive data analysis with Python-based frameworks. Individual term projects will permit students to identify and pursue new research opportunities. Although based on intensive hands-on exploration, this course will be interdisciplinary in nature and cover various data analysis case studies. (Offered as needed.) 3 credits
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CS 615 - Digital Image Processing
Prerequisites, MATH 210, 211. This course provides an overview of the main concepts, results, and techniques that are the foundations of current academic research and industry practice in digital image processing. (Offered as needed.) 3 credits
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CS 616 - High-Performance Computing
Prerequisite, CS 510 . This course covers the basic concepts and techniques needed for problem solving using parallel computers. It will introduce the students to high-performance computer architectures, their taxonomies and performance issues. The design and analysis of parallel algorithms will be covered. Techniques for data and workload partitioning for parallel execution will be discussed. It will also introduce parallel programming models and contemporary parallel programming techniques including message passing and shared memory. Cluster, grid and cloud computing will be introduced. (Offered spring semester.) 3 credits
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CS 620 - Foundations in Mathematical Bioscience
Prerequisites, MATH 110, BIOL 208, CHEM 330, or consent of instructor. Computational science is an emerging field of the sciences, computer science, and mathematics. This course is to provide the fundamentals of computational science, and introduce a variety of scientific applications in bioscience. We will examine how scientific investigations involve computing in basic biosciences such as physics, chemistry, medicine and particularly biosciences. It covers selected topics in physiology, biochemistry, and behavior. It may include biochemical reaction kinetics, the Hodgkin Huxley model for cellular electrical activity, continuous and discrete population interactions, and neural network models of learning. Techniques utilized include ordinary differential equations, difference equations, algebraic equations, and computer simulations. The student will be offered examples of computer simulations and data analysis. (Offered as needed.) 3 credits
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CS 621 - Bioinformatics and Computational Biology I
Prerequisite, BIOL 208, or CHEM 230. Students will be introduced to the basic concepts behind Bioinformatics and Computational Biology tools. Hands-on sessions will familiarize students with the details and use of the most commonly used online tools and resources. This course introduces students to the practical application of structure and sequence analysis, database searching and molecular modeling techniques to study protein sequence, structure and function. Amino acid properties and protein secondary structures will be reviewed as supporting information for understanding the importance of protein sequence. Internet resources, molecular visualization software, and computational algorithms will be introduced to the student for structure analysis. (Offered as needed.) 3 credits
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CS 622 - Bioinformatics and Computational Biology II
Prerequisite, CS 621 . Students will be introduced to the advanced concepts behind Bioinformatics and Computational Biology tools. Hands-on sessions will familiarize students with the details and use of the most commonly used online tools and resources related to developing and building websites, machine learning, data mining and genomics applications. Students will gain practical knowledge in using software techniques and internet resources to handle and compare biological, genomic and medical information. search databases and interpret protein structure. (Offered as needed.) 3 credits
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CS 623 - Computational Systems Biology
Prerequisite, BIOL 208, or equivalent, or consent of instructor. Computational Systems Biology is to understand complex biological systems that require the integration of experimental and computational research. This course aims to develop and use efficient algorithms, data structures, and visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling of biological systems. Students will learn how to use computer simulations of biological systems to analyze as well as visualize the complex connections of such systems and cellular processes. (Offered as needed.) 3 credits
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CS 624 - Biostatistics
Prerequisite, MATH 203, or equivalent. This course will provide an intermediate-level introduction to various statistical methods with emphasis on applications in Biology, Medicine, and Public Health. Main concepts such as sampling distributions, contingency tables, survival analysis, linear, logistic, and Poisson regressions will be studied from a more mathematically solid viewpoint. Examples and real datasets will be provided to clarify the concepts and underline connections with related topics and current research. Data analyses will be performed using the statistical software package R. (Offered as needed.) 3 credits
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CS 625 - Bioinformatics Algorithms
Prerequisites, BIOL 330, CPSC 406, or equivalent. Bioinformatics is the study of living organisms viewed as information processors. Students will study some of the major algorithms used in bioinformatics: sequence alignment, multiple sequence alignment, phylogeny, gene identification, and analysis of gene expression data. (Offered as needed.) 3 credits
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CS 629 - Experimental Course
Prerequisite, CS 510 . Computational Science experimental courses are designed to offer additional opportunities to explore areas and subjects of special interest. Course titles, prerequisites, and credits may vary. Some courses require student lab fees. Specific course details will be listed in the course schedule. May be repeated for credit if the topic is different. Fee: TBD. (Offered as needed.) 1-3 credits
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CS 634 - Dynamic Optimization
Prerequisite, CS 555 . This course will introduce you to the theory and practice of stochastic and dynamic optimization. Stochastic programming techniques will be utilized along with Bayesian networks and Markov processes. (Offered as needed.) 3 credits
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CS 635 - BioMedical Informatics
(Same as CPSC 435.) Prerequisite, CS 510 . Students are introduced to contemporary research topics in medical informatics, including computational techniques for the collection, management, retrieval, and analysis of biomedical data. (Offered as needed.) 3 credits
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CS 641 - Introduction to Natural Hazards
Students are introduced to earth system sciences, earth processes, various natural hazards associated with land, ocean, atmosphere and cryosphere and their impacts on society and environment, as well as to different types and impacts of natural and anthropogenic hazards and resultant disasters worldwide. Connection of climate change and global change to hazards, the effects of pollution and land use change will be discussed and conclusions of how societies may face them will be drawn. Computer exercises/demonstrations will be given to see the changes of natural hazards on land, ocean, atmosphere and cryosphere. (Offered as needed.) 3 credits
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CS 642 - Earth System Science
Prerequisite, CS 641 . Introduction to Earth Systems- Lithosphere, Hydrosphere, Atmosphere, Biosphere and Crysophere. Processes associated with Lithosphere, Hydrosphere, Atmosphere, Biosphere and Crysophere. Biogeochemical cycle. Coupling between Lithosphere-Hydrosphere-Biosphere-Atmosphere and associated impact on Global Climate Change and Natural Hazards (all types: Land, Biosphere, Atmosphere, Crysophere, Hydrosphere), Extreme Events. (Offered as needed.) 3 credits
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CS 643 - Satellite Image Processing
Prerequisite, consent of instructor. This course will emphasize digital processing of earth observing imagery. Students will be introduced to digital image processing techniques and their applications to earth observing remote sensing data. Topics include radiometric and geometric corrections, image enhancement, transformation, segmentation, and classification. Image acquisition sensors and platforms and commonly used data formats for remote sensing data are introduced. This course provides an opportunity to students to explore various applications of remote sensing data to earth system understanding. Strong math skills required. (Offered as needed.) 3 credits
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CS 644 - Global Climate Change
Prerequisite, CS 641 , or consent of instructor. This course will emphasize global climate change and associated impacts. Students will be introduced to climate change, including changes in the human and natural drivers of the climate, space observations of changes, modeling and the simulations as projections of future climate change and key findings and uncertainties and the relationship of natural hazards to changing climate. The connection of climate change to economy, health, energy and food production will be briefly studied in law, science, education and policy. This course will provide an opportunity to observe applications of remote sensing data and numerical models. (Offered as needed.) 3 credits
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CS 650 - Advanced Linear Algebra and Digital Signal Processing
Prerequisites, MATH 210, 211. This course gives students an exposure to advanced topics in linear algebra and their applications to digital signal processing. Using vector space methods, this course provides an overview of the main concepts, results, and techniques that are the foundations of current academic research and industry practice in digital signal processing. (Offered as needed.) 3 credits
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CS 660 - Fourier Analysis
Prerequisites, MATH 211, 450. Periodic functions and Fourier series, convergence of Fourier series, Fourier transform of rapidly decreasing functions and L2 functions, Inversion formula and Plancherel theorems, application of the Fourier transform to differential equations, Multiresolution analysis, and orthonormal wavelet bases, signal, and image compression. (Offered as needed.) 3 credits
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CS 680 - Computational Algebra I
Prerequisite, MATH 211. A course in multivariate polynomials, their algebraic properties, and related algorithms for effective computations. After an introduction of the main concepts of the ring of single variable polynomials (polynomial ideals, unique factorization, division algorithm, similarities with the ring of integers), multivariable polynomials are defined. The course addresses the problem of defining order relations on the set of multivariate terms, and moves to the basic concepts of the theory of Gröbner bases. These include: the multivariate division algorithm as a generalization of the Gauss reduction algorithm for vector spaces; the Macaulay Basis theorem; viewing polynomials as rewrite rules; Buchberger’s algorithms for the construction of Gröbner bases for polynomial ideals; and the notion of syzygy. Throughout the course, students learn how to use a computer algebra software program to compute with polynomials and to implement the algorithms presented in class. (Offered as needed.) 3 credits
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CS 685 - Bayesian Data Analysis
Prerequisite, MATH 361, or equivalent. The main concepts covered in this class include the following: Bayes’ theorem and the Bayesian inferential framework (model specification, model fitting, and model checking), computational methods for posterior simulation integration, regression models, hierarchical models, ANOVA, the Gibbs sampler, Markov chain simulations and other numerical methods. (Offered as needed.) 3 credits
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CS 688 - Curricular Practical Training
The course offers students an opportunity to learn professional skills “on the job”. P/NP. (Offered every semester.) 0 credit
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CS 690 - Internship
Prerequisite, consent of instructor. Offers students an opportunity to gain work experience. A minimum of 40 hours of work for each credit. P/NP. May be repeated for credit. (Offered as needed.) ½-3 credits
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CS 697 - Thesis
Prerequisites, admission to the MS in computational sciences and data sciences, completion of twelve graduate credits, consent of instructor. Students will complete a research project chosen and completed under guidance of a faculty member and/or faculty committee. The project will result in an acceptable technical report (Thesis) and an oral defense. May be repeated for credit. (Offered as needed.) 3 credits
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CS 770 - Topics in Computational Science
Prerequisites, CS 520 , CS 530 . May be repeated for credit. (Offered as needed.) 3 credits
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CS 797 - Dissertation Research
Prerequisite, advancement to candidacy in the Ph.D. in computational science program. Dissertation research is an independent study that culminates in a doctoral dissertation. Students must be enrolled continually for at least 1 credit of CS 797 for their dissertation defense. Grading, P/NP. May be repeated for credit to a maximum of 12 credits. (Offered as needed.) 1-6 credits
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CS 799 - Doctoral Studies
Prerequisite, advancement to candidacy. This is an individual study course for doctoral students. Content to be determined by the student and the student’s Doctoral Committee. May be repeated for credit. (Offered as needed.) 1-9 credits
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Counseling and School Psychology |
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CSP 500 - Introduction to Counseling and Mental Health Interventions
Prerequisite, acceptance into the graduate program in professional school counseling or school psychology. This course introduces students to theories of counseling and mental health interventions. The emphasis will be on developing skills in a solution focused approach to counseling and interviewing. Major units of study include theories of change, resiliency, legal and ethical issues in counseling, and characteristics of a “strength-based” or “solution-focused” approach to counseling. Students will have the opportunity to learn and practice the communication skills necessary for establishing rapport, collaboratively creating appropriate goals, and evaluating progress in counseling. (Offered fall semester.) 3 credits
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CSP 510 - Introduction to the Ethical Practice of School Psychology
Prerequisite, acceptance into the graduate program in school psychology. This course introduces students to the roles school psychologists play in the state of California, nationally, and internationally in schools, the ethical and legal guidelines that shape the profession, and emergent practices. Students are required to spend a minimum of 10 hours of fieldwork interviewing and observing an experienced school psychologist. (Offered fall semester.) 3 credits
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CSP 511 - Introduction to the Ethical Practice of Professional School Counseling
Prerequisite, acceptance into the graduate program in school counseling. This course introduces students to the comprehensive developmental professional school counseling model advocated by the American School Counselor Association (ASCA), the roles counselors play in the public schools, the ethical and legal guidelines that shape the profession, and emergent practices in individual and group assessment, academic advisement, career counseling, crisis intervention, personal/social counseling, consultation, and systems change. (Offered fall semester.) 3 credits
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CSP 512 - Advanced Counseling and Mental Health Interventions
Prerequisites, CSP 500 , and CSP 510 or CSP 511 . Students will review the concepts and skills introduced in CSP 500 as well as learn the knowledge and strategies necessary to apply cognitive behavioral therapy and related approaches to working with children and youth. Students also will learn how to respond to crisis, including loss and threats to harm self and others, and the nature of trauma and its impact on development and learning. (Offered spring semester.) 3 credits
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CSP 513 - Group Counseling Leadership and Intervention
Prerequisites, successful completion of CSP 500 , and successful completion of either CSD 510 , or CSD 511 . This course emphasizes theories of group development and leadership skills in a multicultural society. This course also focuses on approaches to group counseling, including psychoeducational groups and process-oriented groups, ethical and professional issues in group practice, and the applications of groups to children and youth, parents, and other adults as well as the facilitation of teams to enable pupils to overcome barriers and impediments to learning. (Offered every semester.) 3 credits
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CSP 514 - Cultural and Community Issues in Counseling and School Psychology
Prerequisite, acceptance into the graduate program in counseling or school psychology. This course requires a minimum of 15 hours of field experience in a community setting. Readings, written assignments, and in-class activities focus on the unique challenges diversity brings to the provision of counseling and psychological services to children, youths, and parents. Students will learn the history, culture, and expectations of various ethnic and cultural groups and develop the cross-cultural communication skills necessary to work effectively with families of varying cultural and socioeconomic backgrounds. Students will also explore how issues such as immigration, poverty, and racism affect pupil development, counseling practices, and the development of effective interventions. (Offered every semester.) 3 credits
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CSP 514A - Counseling and Intervention in Multicultural Settings: Travel Course
Prerequisite, consent of instructor. This course involves travel to different countries and focuses upon the unique challenges diversity brings to the provision of counseling and psychological services. Students will learn the history, culture, and expectations of the host country and develop the cross-cultural communication skills necessary to effectively work with families of varying cultural and socioeconomic backgrounds. Students will also explore how issues such as immigration, poverty, sexism, and racism affect counseling practices and the development of effective interventions. (Offered as needed.) 3 credits
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CSP 515 - Practicum in Counseling and Intervention
Prerequisites, CSP 500 , CSP 511 , certificate of clearance. Students will apply the knowledge and techniques learned in previous course work to the practice of professional School Counseling. A minimum of 200 hours of fieldwork in an approved public-school setting is required. In addition to the required field-based experiences, students meet with a university instructor for group supervision and case discussion. May be repeated for credit. (Offered spring semester.) 3 credits
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CSP 516 - Human Development
Prerequisite, admission into the School Counseling or School Psychology graduate program. This course requires a minimum of 15 hours fieldwork observing individuals in various settings. Students examine the processes of typical and atypical development in the context of family, school, and culture. Major units of study include theories of developmental and learning as applied to children and adults and assessment of children and youth and adults via observation and interview. (Offered every semester.) 3 credits
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CSP 517 - Mental Health in the Schools
This course will cover common disorders of childhood, including those covered in the DSM-V. Emphasis will be placed on identification, prevention, and intervention of mental health problems in a multitiered system of support. (Offered fall semester.) 3 credits
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CSP 519 - Psychopharmacology for Mental Health Professionals
Prerequisite, acceptance to the graduate program in school counseling, or school psychology, or emphasis in professional clinical counseling, or consent of instructor. This course meets one of the requirements for the emphasis in professional clinical counseling. The course is an overview of psychopharmacology, including the biological bases of behavior, neurophysiology, and an understanding of brain functions as related to behavior and learning. Emphases are placed on the biological principles of psychopharmacology, basic classifications, indications, and contraindications of commonly prescribed medications, and on the professional and ethical issues on the use of medications for the treatment of mental health disorders. (Offered as needed.) 3 credits
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CSP 534 - Practicum in School Psychology I
Prerequisites, CSP 500 , CSP 510 , CSP 512 , CSP 516 , CSP 637 , EDUC 601 . CSP 534 and CSP 535 require a total of 600 hours of practica fieldwork. Of the total, 450 hours must be in a school setting and 150 hours may be done in an approved alternative setting. Students must gain experience across all NASP domains of Training and Practice during their practica. Students also meet for group supervision and case discussion. CSP 534 will place special emphasis on assessment, including review of records, observation, interviewing, use of standardized norm-based instruments and writing useful and legally defensive reports. (Offered fall semester.) 3 credits
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CSP 535 - Practicum in School Psychology II
Prerequisite, CSP 534 . CSP 535 requires completion of 600 hours of practica fieldwork, including hours gained in CSP 534 . Of the total, 450 hours must be in a school setting and 150 hours may be done in an approved alternative setting. Students must gain experience across all NASP domains of Training and Practice during their practica fieldwork. Students also meet for group supervision and case discussion. CSP 535 will place special emphasis on mental health and behavioral support services within a multitiered system of support. (Offered spring semester.) 3 credits
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CSP 600 - Multi-Tiered Systems of Supports for School Counselors
In this course, students will learn about multi-tiered systems of support and the role of school counselors as leaders in designing, implementing, and evaluating prevention programs and interventions for k-12 students and youth. Topics will include instructional response to intervention (RtI), behavioral RtI, school-wide positive behavioral interventions and supports, development of Section 504 plans, and school counselors’ role in Individualized Educational Programs for special education students. (Offered as needed.) 3 credits
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CSP 602 - Responding to Spousal or Partner Abuse
Prerequisites, admission to the graduate program in School Counseling or School Psychology or consent of instructor. This course covers spousal and partner abuse and will review assessment, detection and intervention strategies to prevent or respond to emotional harm, assault, rape and sexual assault and homicide. Cultural factors, at-risk characteristics, same-gender abuse dynamics, safety planning and community resources are also included. P/NP. (Offered as needed.) 1 credit
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CSP 603 - Human Sexuality
Prerequisites, admissions into the graduate program in School Counseling or School Psychology or consent of instructor. The study of human sexuality reviews social activities, behaviors, series of actions, and societal topics. This course offers a broad examination of human sexuality from the perspective of the practitioner, including the characteristics and method of assessment for people living with HIV/AIDS. P/NP. (Offered as needed.) 1 credit
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CSP 604 - Aging and Long-Term Care
Prerequisites, admissions into the graduate program in School Counseling or School Psychology or consent of instructor. This course examines the biological, social, and psychological aspects of aging including changes in health, relationships and issues related to medical, financial, housing and long-term care. Also included is the growing problem of elder abuse and neglect, including warning signs and assessment for abusive situations. P/NP. (Offered as needed.) 1 credit
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CSP 605 - California Law and Professional Ethics for Professional Counselors and Psychotherapists
Prerequisites, admissions into the graduate program in School Counseling or School Psychology or consent of instructor. This course examines professional, legal, and ethical issues for counselors, including scope of practice for LPCC, counselor-client privilege, confidentiality, duty to warn, and California laws and regulations governing the practice of counseling in clinical settings. P/NP. (Offered as needed.) 1 credit
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CSP 615 - Learning and Learning Disabilities
Prerequisites, CSP 637 , CSP 638 , Ed.S. school psychology major. Corequisite, CSP 534 , or CSP 535 , or CSP 622 , or CSP 623 . This course will further students’ understanding of the learning processes that occur in all children, including those with learning disabilities. This course will cover current research regarding the nature of learning disabilities, relevant assessments for determining learning disabilities, and the academic and non-academic challenges faced by individuals identified as having learning disabilities. Students will review methods and models for the identification of learning disabilities, conduct an assessment focused on identification of a learning disability, and write a research-based paper on a relevant topic. Some sections of CSP 615 and CSP 715 are taught together. (Offered spring semester.) 3 credits
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