2022-2023 University Catalog 
    
    May 20, 2024  
2022-2023 University Catalog archived

Course Descriptions


 

Cognitive and Behavioral Science

  
  • CBSC 110 - Brain and Behavior with Laboratory


    FDR: SL Lab Science Distribution
    Credits: 4

    An introduction to behavioral neuroscience, including the physiological bases of sensation, learning and memory, motivation, cognition, and abnormal behavior. The laboratory component extends classroom materials to include experiential learning with comparative neuroanatomy, neurophysiology, and research techniques in behavioral neuroscience.
  
  • CBSC 111 - Brain and Behavior


    FDR: SC Science, Math, CS Distribution
    Credits: 3

    An introduction to behavioral neuroscience, including the physiological bases of sensation, learning and memory, motivation, cognition, and abnormal behavior.
  
  • CBSC 112 - Cognition


    FDR: SC Science, Math, CS Distribution
    Credits: 3

    An introduction to human information processing, including an examination of perception, attention, memory, problem solving, and language.
  
  • CBSC 113 - Principles of Development


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 3

    An introduction to the development of individual capacities from conception through the life span. Analysis of thought and behavior at different stages of growth with special emphasis on the period from infancy through adolescence.
  
  • CBSC 114 - Introduction to Social Psychology


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 3

    The scientific study of how individuals’ feelings, thoughts, and behavior are affected by others. Topics include prejudice, the self, interpersonal attraction, helping, aggression, attitudes, and persuasion.
  
  • CBSC 118 - Psychology Mythbusters


    FDR: SC
    Credits: 4

    Prerequisite: Prerequisite: First-year standing. In this course, students learn how to test psychological myths and to determine a status: confirmed, plausible, or busted. We explore a variety of myths, including the existence of the unconscious mind, relationship myths, brain myths, psychology and law myths, social myths, personality myths, and mental-illness myths. Students critically evaluate psychology myths by 1) gathering and writing about empirical evidence; 2) designing, running, and analyzing an experiment on a particular psychology myth; and 3) making class presentations.
  
  • CBSC 150 - Psychoactive Drugs and Behavior


    FDR: SC Science, Math, CS Distribution
    Credits: 3

    An introduction to broad psychological perspectives of drug use, misuse, and abuse. The pharmacological and physiological actions of psychoactive drugs, as well as personality and social variables that influence their use, are considered. Emphasis is given to historically significant and currently popular drugs of abuse.
  
  • CBSC 180 - FS: First-Year Seminar


    Credits: 3

    Prerequisite: First-year seminar. Prerequisite: First-year class standing. Topical description when offered. Applicability to FDRs and other requirements varies.
  
  • CBSC 210 - Introduction to Clinical Psychology


    Credits: 3

    Prerequisite: CBSC 110, CBSC 111, or CBSC 150. This course is an empirically informed exploration of the characteristics, course, and treatment of psychological disorders as they are currently defined. A biopsychosocial framework is utilized to examine the continuum of psychological functioning, from psychopathology to flourishing.
  
  • CBSC 213 - Development of Human Sexuality


    FDR: SS3
    Credits: 4

    Prerequisite: Prerequisite: CBSC 113 or PSYC 113. This course examines the fundamentals of the development and practice of sexuality in the human being and the historical, psychological, and psychosocial aspects of human sexuality from childhood to old age. The course covers major theories of the development of sexuality in heterosexual, gay, and lesbian people. Students also explore how sexuality itself may be “constructed” as a result of culture, media, and gender. Primary source material as well as popular media depictions of sexuality are examined. Students engage in the creation of a comprehensive sexual education program which involves contact with parents, teachers, and experts in the field.
  
  • CBSC 214 - The Psychology of Humor


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 3

    This course focuses on theoretical and empirical approaches to understanding humor, covering traditional and contemporary theories of humor, along with social psychological, developmental, biological, and cognitive perspectives on humor. In addition, humor as a moderator of life stress is examined. Disparagement humor is a central topic, along with nonverbal markers of humor elicitation.
  
  • CBSC 215 - Seminar in Evolutionary Psychology


    Credits: 3

    Prerequisite: CBSC 110, CBSC 111, CBSC 112, CBSC 113, or CBSC 114. The purpose of this course is to examine evolutionary theory as a means of explaining human behavior. The main premise is that behaviors such as cooperation, aggression, mate selection, and intelligence exist because individuals exhibiting these behaviors were more likely to produce healthy offspring that perpetuated those behaviors (i.e., natural selection). We evaluate the validity of this argument in a number of areas of human behavior and also discuss how culture has shaped our genes. Evolutionary psychology is not an area of psychology, like social psychology or cognitive psychology, but is instead a lens through which all human behavior can be explained. Though it is tempting to engage in arm chair application of evolutionary theory to behavior, this is a science course; all arguments must be backed up with data.
  
  • CBSC 216 - Health Neuroscience


    FDR: SC
    Credits: 4

    Prerequisite: Prerequisite: one course chosen from CBSC/PSYC 110, 111, 150, BIOL 111, or CHEM
    110.
    This seminar provides an introduction to the scientific study of physical and mental health using research methods in neuroscience. We examine the effects of exercise on the brain (from the cellular/molecular to systems-level perspective), how neuroplasticity contributes to both the etiology and treatment of neurological and psychological conditions. and extensively discuss the effects of stress on the brain. The course features comprehensive readings of popular psychology/neuroscience books, as well as empirical reports and reviews published in peer-reviewed scientific journals. A background in neuroscience is recommended. as well as  additional experience with psychology and/or biology prior to enrollment.
  
  • CBSC 223 - Toys and Playful Learning


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 3

    Prerequisite: CBSC 113 This course examines the fundamentals of the development and practice of play, with emphasis on toy play. The course covers major developmental theories of the development of skills through playful learning. Students explore how gender and gendered toys impact children’s play, skills, visions of the future, and body image, and how toy play can be used to intervene with childhood developmental issues. Primary source material is examined along with popular media depictions of toy play. Students engage in the creation of skill building which involves contact with parents, teachers, and experts in the field.
  
  • CBSC 235 - Effects of Poverty on Families and Children


    Credits: 3

    Prerequisite: Prerequisite: CBSC or PSYC 113 or POV 101. This course explores the problem of child and family poverty, the issues it raises for psychologists and social policy makers, and the implications that poverty and social policy have for children’s development. This class explores how children’s perceptions of the world, or their place in it, are affected by economically stressed families.
  
  • CBSC 240 - Data Science: Mind Analytics


    Credits: 3

    Psychological tests promise to match you with your soul mate, reveal the hidden depths of your personality and attitudes, and predict your success in college. How would you determine if these promises are being kept? Students build data-science skills while teaming on how to assess a test’s reliability and validity, including tests of abilities, personality, attitudes, and more. No programming experience is required while we use R, a popular open-source programming language, to learn data management, data visualization, model-comparison metrics, and statistical inference in a reproducible and ethically responsible manner.
  
  • CBSC 250 - Statistics and Research Design


    Credits: 4

    Laboratory course. Prerequisite: any CBSC course and at least sophomore class standing. Students learn about the design and analysis of psychological research, with particular emphasis on experimentation. Students learn statistical inference appropriate for hypothesis testing, and they use standard statistical packages to analyze data.
  
  • CBSC 252 - Sensation Measurement and Perception


    Credits: 3

    Prerequisite: Prerequisites: either CBSC 110 or CBSC 111; and CBSC 250. Problems associated with sensory encoding, scaling, contextual and social determinants of perception are considered. Special emphasis is placed on the role of the senses in daily life.
  
  • CBSC 253 - Neural Mechanisms of Motivated Behaviors


    Credits: 3

    Prerequisite: Prerequisites: CBSC/PSYC 110 or 111, and either CBSC/PSYC 250 or BIOL 201. The anatomical, physiological, and neurochemical bases for behaviors are considered. Some examples of behaviors to be discussed include thirst and drinking, ingestion, reproduction, and learning.
  
  • CBSC 254 - Attention


    Credits: 3

    Prerequisite: CBSC 110, CBSC 111, or CBSC 112; and either BIOL 201 or CBSC 250. An examination of the theories and mechanisms associated with attentional processes. Topics include: selective attention, divided attention, inhibition, working memory, and the application of these processes in human/machine interfaces. The functioning of the above processes in abnormal patient populations is also examined.
  
  • CBSC 255 - Cognitive Neuroscience


    Credits: 4

    Laboratory course. Prerequisite: CBSC 110, CBSC 111, or NEUR 120; and CBSC 250. An examination of the role of the central nervous system in the production of human behavior. Special emphasis is placed on the contribution of the cerebral cortex to cognitive activity and to the effects of brain injury on psychological processes. Laboratories focus on neuropsychological testing and basic concepts in the brain’s distribution of complex function.
  
  • CBSC 256 - Neuropharmacology


    Credits: 3

    Prerequisite: either CBSC 110 or CBSC 111 and either BIOL 201 or CBSC 250. This course combines lecture and seminar elements to explore the physiological bases for drug action in the nervous system with emphasis on molecular mechanisms. The course begins with an overview of pharmacokinetics and pharmacodynamics and then proceeds to examinations of major neurotransmitter classes, functional neural circuits, and a survey of recreational drugs, drug abuse, and drug dependence. The course concludes with a consideration of pharmacotherapies for selected disorders of cognition and affect. The role of neuropharmacology in the growth of our understanding of normal neurochemical function is stressed throughout.
  
  • CBSC 257 - Sleep and Circadian Rhythms in Health and Disease


    Credits: 3

    Prerequisite: either CBSC 110 or CBSC 111 and either BIOL 201 or CBSC 250. This course includes elements of lecture and seminar to explore, first, the neurophysiological mechanisms that govern sleep and circadian rhythms and the methods used to measure these phenomena, and, second, the role of dysregulated sleep and circadian rhythms in physical and mental health. The course ends with a discussion of how poor sleep impacts society and how society might confront population-level deficiencies in sleep.
  
  • CBSC 259 - Cognition and Emotion


    Credits: 3

    Prerequisite: Prerequisite: CBSC or PSYC 250. This course challenges the notion that cognition and emotion are fundamentally opposing psychological systems and explores how they function together to influence attention, memory, thinking, and behavior in our social world. Coverage includes contemporary theory, research, experimental design, and application on topics regarding both healthy individuals and those with psychological disorders.
  
  • CBSC 261 - Socioemotional Development


    Credits: 3

    Prerequisite: CBSC 113 and CBSC 250. Exploration of children’s understanding of emotions and how socialization and cognitive development contribute to the creation of different emotional styles and experiences. Examination of the theoretical and developmental aspects of emotions. Topics include understanding emotional states and the role of socialization practices on emotional expression.
  
  • CBSC 262 - Gender-Role Development


    Credits: 3

    Prerequisite: CBSC 113, CBSC 250, or WGSS 120. This course provides the student with an overview of gender-role development: How do children learn to be boys and girls? What role do biological factors play in different behaviors of boys and girls? Does society push boys and girls in different directions? We discuss children’s evolving ideas about gender, and what can be done to change these ideas (or whether they need to be changed at all). Through the examination of these questions and issues, the course introduces students to the major theories of gender-role development, the research methods used to measure children’s gender-role behaviors and attitudes, and the current research in the field.
  
  • CBSC 265 - Developmental Psychopathology


    Credits: 3

    Prerequisite: Prerequisites: CBSC 113, CBSC 210, and CBSC 250. This course utilizes a biopsychosocial perspective to explore atypical developmental processes. The course examines risk and protective factors that contribute to the development of social, emotional, behavioral difficulties and competencies in childhood and adolescence. Conceptualization, assessment, and treatment of children’s and adolescents’ psychological disorders is also discussed.
  
  • CBSC 269 - Stereotyping, Prejudice, and Discrimination


    Credits: 3

    Prerequisite: CBSC 114 and CBSC 250. This course examines cognitive and affective processes involved in stereotyping, prejudice, and discrimination. Causes and social implications of prejudice involving various stigmatized groups are examined. Participants focus on attitudes and behaviors of both perpetrators and targets of prejudice that likely contribute to and result from social inequality.
  
  • CBSC 280 - Science and Policy


    Credits: 4

    Students in this course adopt the role of consultants for a hypothetical legislator who must make a decision on a matter of public policy. A clear understanding of the scientific background and consequences of the policy must inform the legislator’s decision. Each student works as a part of the consulting team and creates a document on a narrow aspect of the science related to the public policy. The policy being evaluated changes each term. Examples include: funding for mental health care, enactment or suspension of motorcycle helmet laws, establishing or abolishing court awards for mental suffering, and similar topics.
  
  • CBSC 295 - Current Advances in Psychological Science


    Credits: 3-4

    Seminar topics and specific prerequisites vary with instructor and term. May be repeated for degree credit if the topics are different. These seminars are designed to introduce students to an area of current interest in the field of psychology. Students receive an overview of the experimental research and/or applied practices that have advanced an area of psychological science.
  
  • CBSC 296 - Spring-Term Topics in Cognitive and Behavioral Science


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 3-4

    Topics and prerequisites vary with instructor and term. May be repeated for degree credit if the topics are different. 
  
  • CBSC 298 - Topical Seminar in Cognitive and Behavioral Science


    Credits: 3-4


    Prerequisite: Prerequisites vary, determined at time of offering. Seminar topics vary with instructor and term. These topical seminars are designed to introduce students to an area of current interest in the field of psychology. Students receive an overview of the research and/or applied practices that have advanced an area of psychological science. May be repeated for degree credit if the topics are different.

     

  
  • CBSC 299 - Applications of Cognitive and Behavioral Science


    Credits: 3

    Prerequisite: Cognitive and Behavioral Science major and junior class standing. This course is designed for junior CBSC/PSYC majors to learn about modern systems and subfields of cognitive and behavior science. Pathways to professional applications of cognitive and behavior science are addressed along with experiences and tools necessary for professional development. The course has a topical structure in which primary source material is utilized to deepen students’ exposure to the methodologies and findings of one subfield of cognitive and behavior science. The culmination of the course is a proposal for CBSC/PSYC majors’ capstone experience.
  
  • CBSC 300 - The Pursuit of Happiness


    FDR: SS3 Social Science - Group 3 Distribution
    Credits: 4

    Students examine and discuss the meaning and significance of happiness, explore pathways and barriers to happiness from scientific, theoretical, and philosophical perspectives, and engage in a thoughtful and proactive process of self-examination with regard to personal ideals, goals, and mechanisms of happiness. Students become immersed in experiential learning opportunities to sample potential pathways to well-being and contribute to the greater good through community service.
  
  • CBSC 353 - Advanced Methods in Systems Neuroscience Research


    Experiential Learning (EXP): Yes
    Credits: 3

    Prerequisite: Prerequisite: Instructor consent. Directed research on a variety of topics in systems neuroscience. May be repeated for credit.
  
  • CBSC 354 - Advanced Methods in Attention Research


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for degree credit. Prerequisite: instructor consent. Directed research on a variety of topics in attention and memory.
  
  • CBSC 355 - Advanced Methods in Cognitive Neuroscience Research


    Credits: 3

    May be repeated for degree credit. Prerequisite: instructor consent. Directed research on a variety of topics in human neuropsychology.
  
  • CBSC 357 - Advanced Methods in Human Psychophysiology


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for degree credit. Prerequisite: instructor consent. Directed research on various topics in human health psychophysiology research. Students develop skills related to the measurement of human physiology across multiple biological systems (cardiovascular, nervous, respiratory systems, etc.) and learn how changes in physiology relate to, and predict, physical and mental health.
  
  • CBSC 359 - Advanced Methods in Cognition and Emotion Research


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for degree credit. Prerequisite: instructor consent. Directed research on a variety of topics in cognition and emotion.
  
  • CBSC 362 - Advanced Methods in Developmental Psychology Research


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for degree credit. Prerequisite: instructor consent. Directed research on a variety of topics in developmental psychology.
  
  • CBSC 365 - Advanced Methods in Developmental Psychopathology Research


    Credits: 3

    Prerequisite: Prerequisite: Instructor consent. Directed research on a variety of topics in developmental psychopathology. May be repeated for degree credit.
  
  • CBSC 369 - Advanced Methods in Social Psychology Research


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for degree credit. Prerequisite: Prerequisites: CBSC 269 and instructor consent. Directed research on a variety of topics in social psychology.
  
  • CBSC 395 - Special Topics in Cognitive and Behavioral Science


    Credits: 1-3

    Prerequisite: Prerequisite: May vary with topic. These seminars are designed to help the advanced student integrate his or her knowledge of specific fields into a comprehensive view of cognitive and behavior science, both as a science and as a profession. Specific topics vary and are determined, in part, by student demand. May be repeated for degree credit if the topics are different.
  
  • CBSC 398 - Advanced Research Methods in Cognitive and Behavioral Science


    Credits: 3

    Directed research on an area of current interest in the fields of cognitive and behavioral science. May be repeated for degree credit if the topics are different.
  
  • CBSC 413 - Cognitive and Behavioral Science Capstone


    Credits: 3

    This course is designed for cognitive and behavior science majors to take near the end of their course of study. May be repeated for credit. Prerequisite: Prerequisites: CBSC 250 and instructor consent. Students synthesize skills and information learned in the psychology curriculum and engage in deep study of an aspect of the field. Students choose one of four structures for their capstone work: topical specialization; senior thesis; community-based research; or applied science. Each structure involves participation in a capstone seminar and the production of a written report. Community-based research and applied-science structures involve interaction with local community agencies, and thus require planning at least one term in advance.
  
  • CBSC 421 - Directed Individual Research


    Experiential Learning (EXP): Yes
    Credits: 1

    Prerequisite: instructor consent. Graded Satisfactory/Unsatisfactory only.  May be repeated for degree credit if the topics are different. Directed research experience in a psychology member’s laboratory. Students assume responsibility in one or more major components of the research program, such as: data collection, management, and analysis; coordination of research team activities and processes; and dissemination of research findings.
  
  • CBSC 422 - Directed Individual Research


    Experiential Learning (EXP): Yes
    Credits: 2

    Graded Satisfactory/Unsatisfactory only.  May be repeated for up to eight credits toward degree requirements. Prerequisite: instructor consent. Directed research experience in a psychology member’s laboratory. Students assume responsibility in one or more major components of the research program, such as: data collection, management, and analysis; coordination of research team activities and processes; and dissemination of research findings.
  
  • CBSC 423 - Directed Individual Research


    Experiential Learning (EXP): Yes
    Credits: 3

    May be repeated for up to six credits toward major and degree requirements. Prerequisite: instructor consent. Directed research experience in a psychology member’s laboratory. Students assume responsibility in one or more major components of the research program, such as: data collection, management, and analysis; coordination of research team activities and processes; and dissemination of research findings.
  
  • CBSC 431 - Tutorial in Cognitive and Behavioral Science


    Credits: 1

    Grade Satisfactory/Unsatisfactory. May be repeated for degree credit if the topics are different. Advanced reading, study, or internships directed by a member of the staff to meet the needs of the individual student.
  
  • CBSC 432 - Tutorials in Cognitive and Behavioral Science


    Credits: 2

    Prerequisite: Prerequisites: Six credits in CBSC/PSYC and instructor consent. Grade Satisfactory/Unsatisfactory. Advanced reading, study, or internships directed by a member of the staff to meet the needs of the individual student. May be repeated for degree credit if the topics are different.
  
  • CBSC 433 - Tutorial in Cognitive and Behavioral Science


    Credits: 3

    Graded Satisfactory/Unsatisfactory. May be repeated for degree credit if the topics are different. Prerequisite: instructor consent. Advanced reading, study, or internships directed by a member of the staff to meet the needs of the individual student.
  
  • CBSC 443 - Honors Thesis Proposal


    Credits: 3

    Prerequisite: Prerequisite: Honors candidacy. Conferences, directed reading, and exploratory research culminating in the preparation of a proposal for honors thesis research, which will minimally include a clear statement of the problem being studied, a comprehensive literature review, and a feasible, detailed plan for the research. Must be taken no later than spring term of the junior year.
  
  • CBSC 453 - Internship


    Credits: 3

    May be carried out during the summer. Prerequisite: instructor consent. Supervised off-campus experience in a local agency, research organization, or other venues approved by the department. Requires a research paper in addition to off-campus activities.
  
  • CBSC 473 - Senior Thesis


    Credits: 3

    Prerequisite: Prerequisites: CBSC/PSYC 403, senior standing, and consent of the department head. Taken in the winter term of the senior year by all psychology majors seeking a Bachelor of Science degree. Students conduct a research project and prepare a thesis based on that research.
  
  • CBSC 493 - Honors Thesis


    Credits: 3

    Laboratory research culminating in an honors thesis. Honors candidates also present a public summary of their work.

Community-Based Learning

  
  • CBL 100 - Introduction to Community-Based Learning


    Experiential Learning (EXP): Yes
    Credits: 3

    In this course, students learn the basics of community-engaged learning through working on projects and taking part in community service opportunities in Lexington and Rockbridge County. We discuss why community-based learning is a high-impact and civic-minded practice. Students acquire the needed dispositions, new ways of thinking, and skills necessary to succeed in a real-world collaboration with community stakeholders who have diverse backgrounds and stories. 
  
  • CBL 200 - Peer Mentor Training for Community-Based Learning


    Experiential Learning (EXP): Yes
    Credits: 1

    This course will prepare students to lead discussion sections in CBL 100: Introduction to Community Based Learning: Unheard Voices of Black Lexington.” In twelve one-hour sessions and engagement with community partners on the topic of local Black experiences, students will develop the following skills essential to community-based and antiracist work: open-mindedness, humility, appreciation of community-cultural wealth, intellectual curiosity, empathy, and commitment. They will learn how to foster an anti-racist classroom environment, facilitate discussions on race, guide students in critical reflection, and comment on student reflection papers. They will co-frame and lay the groundwork for projects to be done in CBL 100 by interacting directly with community-partners during the fall term. Once completed, this course will allow students to serve as peer mentors in CBL 100 during the following winter term. Peer Mentors will help students in CBL 100 succeed in guided discussion groups and their weekly reflection essays.
  
  • CBL 211 - Community-Based Learning Teaching Assistant Seminar


    Experiential Learning (EXP): Yes
    Credits: 1

    Students will take this seminar while they are serving as CBL Teaching Assistants within a CBL-designated course to offer faculty critical support for coordinating student community engagement experiences and quality service. Taken during the semester when they are serving as TAs, this course provides TAs with support, instruction, and professional development. This course will help TAs prepare to lead discussions, support students in bridging understanding between course materials and community engagement, communicate best practices when working with community members, provide follow-up assistance for students regarding community-engagement responsibilities and tasks, and assist professors in creating reflection activities and assignments. This course provides students a unique opportunity to develop professionally, engage more deeply with the community, and collaborate closely with a faculty member. Students will be provided with a certification of completion after they successfully fulfill all the course requirements.
  
  • CBL 453 - CBL Peer Mentors


    Experiential Learning (EXP): Yes
    Credits: 3

    Prerequisite: Prerequisite: Instructor consent. The purpose of CBL Peer Mentors is to lead discussion sections in CBL 100: “Introduction to Community Based Learning: Unheard Voices of Black Lexington. In weekly sessions, CBL Peer Mentors will lead discussions about why community-based learning is a high-impact and civic-minded practice, and help students acquire the needed dispositions and skills necessary to succeed in a real-world collaboration with community stakeholders who have diverse backgrounds and stories. CBL peer mentors will guide students in this anti-racist work. 
  
  • CBL 453 - Community-Based Learning Peer Mentors


    Experiential Learning (EXP): Yes
    Credits: 3

    Prerequisite: Prerequisite: CBL 200 and instructor consent. The purpose of CBL Peer Mentors is to lead discussion sections in CBL 100: “Introduction to Community Based Learning: Unheard Voices of Black Lexington.” In weekly sessions, CBL Peer Mentors will lead discussions about why community-based learning is a high-impact and civic-minded practice, and help students acquire the needed dispositions and skills necessary to succeed in a real-world collaboration with community stakeholders who have diverse backgrounds and stories. CBL peer mentors will guide students in this anti-racist work. 

Computer Science

  
  • CSCI 101 - Survey of Computer Science


    FDR: FM Math and Computer Science Foundation
    Credits: 4

    Prerequisite: has not completed any other Computer Science course. An overview of the discipline of computer science achieved through an introductory-level survey of a number of major areas of computer science. Topics include algorithms used for computer solutions of important practical problems, computer programming, digital logic applied to computer circuitry, computer architecture, data representation and organization, Web page basics, computer networks, and theoretical limits of computation. Lectures and formal laboratories.
  
  • CSCI 111 - Fundamentals of Programming I


    FDR: FM Math and Computer Science Foundation
    Credits: 4

    A disciplined approach to programming with Python. Emphasis is on problem-solving methods, algorithm development, and object-oriented concepts. Lectures and formal laboratories.
  
  • CSCI 112 - Fundamentals of Programming II


    FDR: SC Science, Math, CS Distribution
    Credits: 4

    Laboratory course. Prerequisite: CSCI 111. A continuation of CSCI 111. Emphasis is on the use and implementation of data structures, introductory algorithm analysis, and object-oriented design and programming with Python.
  
  • CSCI 121 - Scientific Computing


    FDR: FM Math and Computer Science Foundation
    Credits: 4

    Not open to students who have successfully completed CSCI 211 or greater. An introduction to computer programming for scientific applications and a survey of the main methodological areas of scientific computation. The course provides the tools needed for students to use computers effectively in scientific work, whether in physics, chemistry, mathematics, economics, biology, psychology, or any field involving quantitative work. Programming in Matlab, a scientific-computing software package, with a focus on topics relevant to students’ major fields of study. Lectures and formal labs.
  
  • CSCI 180 - FS: First-Year Seminar


    Credits: 3

    Topics, applicabililty to FDRs, and other requirements vary by term. Prerequisite: first-year student class standing. First-year seminar.
  
  • CSCI 209 - Software Development


    Credits: 3

    Prerequisite: CSCI 112. An examination of the theories and design techniques used in software development. Topics include the software life cycle, design patterns, the Unified Modeling Language, unit testing, refactoring, rapid prototyping, and program documentation.
  
  • CSCI 210 - Computer Organization


    Credits: 3

    Prerequisite: CSCI 112. Multilevel machine organization studied at the levels of digital logic, microprogramming, conventional machine, operating system, and assembly language.
  
  • CSCI 211 - Algorithm Design and Analysis


    Credits: 3

    Prerequisite: CSCI 112 and either MATH 121, MATH 201, or MATH 225. Methods for designing efficient algorithms, including divide-and-conquer, dynamic programming, and greedy algorithms. Analysis of algorithms for correctness and estimating running time and space requirements. Topics include advanced data structures, graph theory, network flow, and computational intractability.
  
  • CSCI 230 - Introduction to Machine Learning and Big Data


    Credits: 3

    Prerequisite: CSCI 112. This course is an intermediate-level computer science course that gives an overview of machine learning algorithms, concepts, and applications. We will begin with an understanding of how to systematically extract and prepare data for these types of models. We will explore common machine learning models such as linear regression, logistic regression, support vector machines, k-nearest neighbors, random forest, hidden Markov models, Bayesian networks, and others. Students will be exposed to how to train and evaluate the quality of their models. This evaluation includes a thorough investigation into whether the models present bias and what techniques can be employed to mitigate these limitations.
  
  • CSCI 250 - Introduction to Robotics


    FDR: SC Science, Math, CS Distribution
    Credits: 4

    Prerequisite: CSCI 112. This course combines readings from the contemporary robotics literature with hands-on lab experience building robots (equipment provided) and programming them to do various tasks. The lab experience culminates with a peer-judged competition of robot projects proposed and built during the second half of the term.
  
  • CSCI 251 - Android Application Development


    Credits: 4

    Prerequisite: CSCI 209. Students learn how to develop programs for mobile Android devices, such as smart phones, tablets, and watches. Classroom lectures on mobile computing and a program-development environment are supplemented by extensive hands-on programming assignments, leading to team application projects. The course culminates with a presentation of each team’s application.
  
  • CSCI 252 - Neuromorphic Computing


    Credits: 3

    Prerequisite: CSCI 112. An overview of computational methods inspired by the nervous systems of animals. Topics include philosophical foundations of neuromorphic computing, fundamental mathematical concepts, Hopfield nets, Kohonen’s Self-Organizing Map, Sparse Distributed Memory, Latent Semantic Analysis, Tensor Products, and current neuromorphic hardware. Readings come from both popular textbooks and the scholarly literature. A major focus of the course is on writing programs to implement and apply the concepts and algorithms studied in the course.
  
  • CSCI 256 - Modeling and Simulation


    Credits: 3

    Prerequisite: CSCI 112. Standard practices and applications of modeling and simulation. We explore ways to model complex systems that incorporate disciplines of biology, chemistry, and physics. Students learn critical-thinking skills when reading, comprehending, and analyzing real-world systems that they then create models for. Readings are supplemented by projects which reflect scenarios where modeling and simulation would be useful. Students are evaluated on a series of coding projects, class discussion, weekly quizzes, and exams measuring the ability to identify opportunities for application and to simulate models and their environments. A final project focuses on an open-modeling opportunity in biology, chemistry, or physics
  
  • CSCI 257 - A Walk Through the Ages: Using Artificial Intelligence to Understand the Evolution of Exercise


    Credits: 4

    Prerequisite: Prerequisite: BIOL 187 or CSCI 111. Exercise leaves us healthier and happier, yet many of us struggle to get enough physical activity. Why it is so hard to hit the gym? Our biology and evolutionary past might play a role in our reluctance to undertake physical activity. In this course, students will learn how to quantify the amount of physical activity using wearable exercise trackers. We will collect data on different types of activities in different environments and physiological conditions. Using machine learning tools, we will develop a unique classifier that will predict the environmental/physiological setting based on the data. We will go through the processes of experimental design, data extraction, data preprocessing, data modeling and finally, data interpretation. These aspects of the course will culminate in a course project which will require students to build a model that represents the exercise data gathered.
  
  • CSCI 297 - Topics in Computer Science


    Credits: 3

    May be repeated for degree credit if the topics are different. A maximum of six credits may be used toward the major requirements. Prerequisite: CSCI 112. Readings and conferences for a student or students on topics agreed upon by the directing staff.
  
  • CSCI 312 - Programming Language Design


    Credits: 3

    Prerequisite: CSCI 209. Formal language description tools, semantic concepts and syntactic constructs appropriate to diverse applications. Comparison of several high-level languages, such as Haskell, Erlang, Java, and PROLOG, and the implementations of these syntactic and semantic elements. Students also learn several programming paradigms, such as the function-oriented, object-oriented, and logic-oriented.
  
  • CSCI 313 - Theory of Computation


    Credits: 3

    Prerequisite: MATH 121 or MATH 225. A study of the principles of computer science embodied in formal languages, automata, computability, and computational complexity. Topics include context-free grammars, Turing machines, and the halting problem.
  
  • CSCI 315 - Artificial Intelligence


    Credits: 3

    Prerequisite: CSCI 209. Basic concepts of heuristic search, game playing, natural language processing, and intelligent systems, with a focus on writing programs in these areas. Course combines a discussion of philosophical issues with hands-on problem solving.
  
  • CSCI 316 - Advanced Topics in Robotics


    Credits: 3

    Prerequisite: CSCI 209. A review of advanced topics in robotics, including well-established topics like Bayesian filtering and control theory and current trends like intelligent robots and neuromorphic control. Readings in these areas are reinforced by hands-on projects with robot hardware and simulators. Students present their final projects at the culminating annual Spring Term Festival. Each class meeting includes lecture, discussion, and project work done in teams of one to four students, with weekly quizzes on the readings.
  
  • CSCI 317 - Database Systems


    Credits: 3

    Prerequisite: CSCI 209. This course will provide a theoretical and practical implementation of database systems. Students will learn how databases work, particularly how they store, index, and query data. Broadly, the course will focus on the fundamentals of database design, data models, relational algebra and the description and semantics of query languages including SQL and NoSQL. Advanced topics will include database security, distributed and Internet databases, and large-scale data analysis.
  
  • CSCI 319 - Video Game Design


    Credits: 3

    Prerequisite: CSCI 209. In this course, students learn to design and program video games using Python and the Pygame module. Concepts covered include video game code organization utilizing object-oriented programming, OOP design patterns, 2D animation, artificial intelligence, and responding to user feedback.
  
  • CSCI 320 - Parallel Computing


    Credits: 3

    Prerequisite: CSCI 209 and CSCI 210. A survey of parallel computing including hardware, parallel algorithms, and parallel programming. The programming projects emphasize the message-passing paradigm.
  
  • CSCI 321 - Computer Networks


    Credits: 3

    Prerequisite: CSCI 209. Intended as a first course in communication networks for upper-level students. Covers concepts and protocols underlying modern computer networks. Topics include network architecture and layering, routing and switching, the TCP/IP protocol and network applications. Theory and programming.
  
  • CSCI 325 - Distributed Systems


    Credits: 4

    Prerequisite: CSCI 209. In this course, students learn to design and develop distributed systems, i.e., collections of independent networked computers that function as single coherent systems. The concepts of communication, synchronization, consistency, replication, fault tolerance, and security are covered. In addition, case studies of real-world distributed systems (e.g., the Internet, distributed file systems, grid computing) are analyzed.
  
  • CSCI 326 - Cloud Computing


    Credits: 3

    Prerequisite: Prerequisite: CSCI 209. In this course, students are introduced to Cloud Computing. Clouding Computing focuses on implementing programs on distributed computers and delivering them as a service. Students will explore diverse aspects of this broad area, ranging from the design of cloud systems to creating applications on cloud systems. Selected topics include the theory of distributed systems, the benefits and challenges of the cloud, MapReduce and Spark, algorithm design on distributed systems, Amazon Web Services, and data analysis.
  
  • CSCI 330 - Operating Systems


    Credits: 3

    Prerequisite: CSCI 209 and CSCI 210. Procedure initiation, environment construction, reentrancy, kernel functions, resource management, input/output, file structures, security, process control, semaphores and deadlock, and recovery procedures. The laboratory includes the opportunity to examine and modify the internals of an operating system.
  
  • CSCI 332 - Compiler Construction


    Credits: 3

    Prerequisite: CSCI 209 and CSCI 210. Lexical analysis, parsing, context dependence, translation techniques, optimization. Students are expected to produce a compiler for a suitably restricted language.
  
  • CSCI 335 - Software Engineering through Web Applications


    Credits: 4

    Prerequisite: CSCI 209. In this course, students learn to develop high-performance software for Web applications using advanced software engineering techniques. The concepts of client-server computing, theories of usable graphical user interfaces, models for Web-based information retrieval and processing, and iterative development are covered.
  
  • CSCI 339 - Human-Computer Interaction


    Credits: 3

    Prerequisite: CSCI 209. In this course, students learn the basics of Human-Computer Interaction. Students learn to design user studies, conduct user studies ethically, and analyze user feedback with statistics and the programming language R. Concepts covered include analysis of user data, programming in R, user studies, study ethics, UML, user experience design, designing questionnaires, IRB submissions and CITI training, as well as guest lectures in special interest topics.
  
  • CSCI 340 - Computer Graphics


    Credits: 3

    Prerequisite: CSCI 209. In this course we develop several graphical systems via programming. The course covers, among other topics, the application of linear algebra for the creation of graphical images, raytracing, and polygonal graphics. Knowledge is developed about the computer generation of shapes, lighting, textures, material properties, camera parameters, and perspective. The necessary mathematical background is developed during the course.
  
  • CSCI 397 - Seminar


    Credits: 3

    May be repeated for degree credit if the topics are different. A maximum of six credits may be used toward the major requirements. Readings and conferences for a student or students on topics agreed upon with the directing staff.
  
  • CSCI 401 - Directed Individual Study


    Credits: 1

    May be repeated for degree credit if the topics are different. Prerequisite: instructor consent. Individual conferences.
  
  • CSCI 402 - Directed Individual Study


    Credits: 2

    May be repeated for degree credit if the topics are different. Prerequisite: instructor consent. Individual conferences.
  
  • CSCI 403 - Directed Individual Study


    Credits: 3

    May be repeated for degree credit if the topics are different. Prerequisite: instructor consent. Individual conferences.
  
  • CSCI 493 - Honors Thesis


    Credits: 3

    Prerequisite: instructor consent. Honors Thesis.

Dance

  
  • DANC 110 - University Dance


    Experiential Learning (EXP): Yes
    Credits: 1

    May be repeated for up to eight degree credits. Participation in a university dance production for a minimum of 40 hours of rehearsal and performance.
  
  • DANC 111 - University Dance Production


    Experiential Learning (EXP): Yes
    Credits: 1

    May be repeated for up to four degree credits. Prerequisite: instructor consent. Participation in any production aspect of a university dance production for a minimum of 36 hours. A journal recording the production process is required.
  
  • DANC 120 - Introduction to Contemporary Modern Dance


    FDR: HA Fine Arts Distribution
    Credits: 3

    This course combines the exploration of individual and ensemble artistic expression in contemporary modern dance with the study of the history of modern dance.
  
  • DANC 190 - Special Topics in Dance


    FDR: HA Fine Arts Distribution
    Credits: 3

    An introductory studio course that include selected studies in dance with a focus on history, choreography, performance or production. May be repeated for degree credit if the topics are different.
  
  • DANC 201 - Artistic Identity in Contemporary European Dance


    Credits: 2

    This course provides an introduction through video and text to influential European dance artists. We explore the contemporary aesthetics of these artists, how their particular culture and society influences, their movement choices, and the ways in which society adapts to their new forms of expression. We examine how art is produced, challenged, and transformed. We study the ways in which these cultures interact and affect one another through dance, examine hybrid styles, and explore ethnic and national identity in a global society. This class provides a framework for further exploration in the Spring term course, DANC 202: Dance Europe
 

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