BIOL 117-01 30080 |
Women, Health and Reproduction |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: HUM 226
|
Instructor: Elizabeth Jansen
|
Avail./Max.: 4 / 30
|
*First day attendance required; cross-listed with WGSS 117-01; ACTC students require permission of instructor*
Details
This course will deal with aspects of human anatomy and physiology of special interest to women and/or those who identify as women, especially relating to sexuality and reproduction. Biological topics covered will include menstruation and menopause, sexuality, conception, contraception, infertility, abortion, pregnancy, cancer, and AIDS. Advances in assisted reproductive technologies, hormone therapies, and genetic engineering technologies will be discussed. Three lecture hours each week.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
WGSS 117-01 30081 |
Women, Health and Reproduction |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: HUM 226
|
Instructor: Elizabeth Jansen
|
Avail./Max.: 4 / 30
|
*First day attendance required; cross-listed with BIOL 117-01; ACTC students require permission of instructor*
Details
This course will deal with aspects of human anatomy and physiology of special interest to women and/or those who identify as women, especially relating to sexuality and reproduction. Biological topics covered will include menstruation and menopause, sexuality, conception, contraception, infertility, abortion, pregnancy, cancer, and AIDS. Advances in assisted reproductive technologies, hormone therapies, and genetic engineering technologies will be discussed. Three lecture hours each week.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 125-01 30439 |
Epidemiology |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: ARTCOM 102
|
Instructor: Vittorio Addona
|
Avail./Max.: -2 / 24
|
Details
Epidemiology is the study of the distribution and determinants of disease and health in human populations and the application of this understanding to the solution of public health problems. Topics include measurement of disease and health, the outbreak and spread of disease, reasoning about cause and effect, analysis of risk, detection and classification, and the evaluation of trade-offs. The course is designed to fulfill and extend the professional community's consensus definition of undergraduate epidemiology. In addition to the techniques of modern epidemiology, the course emphasizes the historical evolution of ideas of causation, treatment, and prevention of disease. The course is a required component of the concentration in Community and Global Health.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-01 30440 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: OLRI 254
|
Instructor: Kelsey Grinde
|
Avail./Max.: -3 / 24
|
*First day attendance required*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-02 30441 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: OLRI 254
|
Instructor: Kelsey Grinde
|
Avail./Max.: -4 / 24
|
*First day attendance required*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-04 30443 |
Introduction to Statistical Modeling |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: THEATR 001
|
Instructor: Bryan Martin
|
Avail./Max.: -5 / 24
|
*First day attendance required*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-05 30444 |
Introduction to Statistical Modeling |
Days: T R
|
Time: 03:00 pm-04:30 pm
|
Room: THEATR 001
|
Instructor: Bryan Martin
|
Avail./Max.: -3 / 24
|
*First day attendance required*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-06 30445 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 02:20 pm-03:20 pm
|
Room: THEATR 206
|
Instructor: Laura Lyman
|
Avail./Max.: -3 / 24
|
*First day attendance required*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-07 30446 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 03:30 pm-04:30 pm
|
Room: THEATR 206
|
Instructor: Laura Lyman
|
Avail./Max.: -3 / 24
|
*First day attendance required; registration limit reflects 4 seats saved for current FYs*
Details
An introductory statistics course with an emphasis on multivariate modeling. Topics include descriptive statistics, experiment and study design, probability, hypothesis testing, multivariate regression, single and multi-way analysis of variance, logistic regression.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
|
HIST 164-01 30723 |
Global Health Histories |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: THEATR 205
|
Instructor: Jessica Pearson
|
Avail./Max.: 0 / 20
|
Details
How can history help us understand the landscape of global public health today? This "history of the present course" will help you situate contemporary global health topics in a broader historical perspective and show you how skills from the "historian's toolkit" can be instrumental in helping us build better public health systems. "Global Health Histories" is organized around three topic-focused mini-units. Possible topics include: pandemics; disease control and eradication; racism and health; vaccines and vaccine hesitancy; health and colonialism; international and regional health organizations; Communist health systems; public health in film and literature; family and child health; and the intersections between public health and eugenics and/or population control. In the fourth unit, students will design and execute independent research projects on a topic of their choice. We will devote ample class to developing research and writing skills and we will work intentionally to build a supportive and inclusive scholarly community. We welcome Community and Global Health concentrators, including folks without previous history experience. For History majors, this course meets the global and/or comparative requirement and can count towards the following fields: "Race and Indigeneity;" or "Law and Social Justice," or "Global/Comparative."
General Education Requirements:
Writing WA
Internationalism
Distribution Requirements:
Humanities
Course Materials
|
PSYC 201-01 30559 |
Research in Psychology I |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: OLRI 352
|
Instructor: Steve Guglielmo
|
Avail./Max.: 0 / 24
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
PSYC 201-02 30560 |
Research in Psychology I |
Days: M W F
|
Time: 01:10 pm-02:10 pm
|
Room: OLRI 352
|
Instructor: Annie Pezalla
|
Avail./Max.: -2 / 24
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
PSYC 201-L1 30561 |
Research in Psychology I Lab |
Days: R
|
Time: 09:40 am-11:10 am
|
Room: OLRI 349
|
Instructor: Steve Guglielmo
|
Avail./Max.: 0 / 12
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 201-L2 30562 |
Research in Psychology I Lab |
Days: R
|
Time: 03:00 pm-04:30 pm
|
Room: OLRI 349
|
Instructor: Steve Guglielmo
|
Avail./Max.: 0 / 12
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 201-L3 30563 |
Research in Psychology I Lab |
Days: T
|
Time: 09:40 am-11:10 am
|
Room: OLRI 349
|
Instructor: Annie Pezalla
|
Avail./Max.: -2 / 12
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 201-L4 30564 |
Research in Psychology I Lab |
Days: T
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 349
|
Instructor: Annie Pezalla
|
Avail./Max.: 0 / 12
|
Details
This course is an introduction to the basic principles of research in psychology, with an emphasis on statistical techniques used in psychological science. We examine how to test psychological hypotheses using various statistical analyses, and we consider the pros and cons of experimental, quasi-experimental, and correlational research designs. The course includes a weekly laboratory component in which students develop proficiency with statistical software, writing reports in American Psychological Association style, and familiarity with experimental techniques unique to behavioral research. Prerequisite(s): PSYC 100 Permission of instructor is required for first year students.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PHIL 220-01 30508 |
Bioethics |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: HUM 214
|
Instructor: Samuel Asarnow
|
Avail./Max.: -1 / 20
|
Details
Bioethics became an academic subject in 1960, when the invention of the Teflon-lined Scribner Shunt at the University of Washington made possible long-term dialysis treatment for chronic renal failure patients (as seen above). Initially, UW had only a small number of shunt-equipped dialysis machines, and a large number of patients who would die without dialysis. They faced the question: which patients should get the scarce time on the machine? The youngest? The oldest? The ones who went to church regularly? Bioethics as we know it today grew out of the scholarly discussion of that question. It is now a thriving field, important to health care providers, philosophers, policymakers, and biologists, among others, and an increasing number of universities host standalone, interdisciplinary bioethics departments. This course provides an introduction to a range of ethical and philosophical questions that arise in the context of health care provision and the life sciences. The central goal of the course is to provide you with a structured opportunity to practice thinking, writing, and speaking about these challenging questions in a rigorous, careful, imaginative, and respectful way.
General Education Requirements:
Distribution Requirements:
Humanities
Course Materials
|
GEOG 225-01 30284 |
Introduction to Geographic Information Systems |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: CARN 107
|
Instructor: Holly Barcus
|
Avail./Max.: 2 / 30
|
*Permission of instructor required; first day attendance required*
Details
This course provides an introduction to cartography, visualization, and analyses of geospatial data, as well as hands-on experience with geospatial technologies in the GIS laboratory. Students will learn the basics of mapping/cartography (e.g. scale, projections, map design) and Geographic Information Systems. Students will create maps with commonly used digital data (e.g., aerial photographs, census boundaries, digital elevation models, etc.), and master basic methods of spatial analyses. Both concepts and techniques will be taught in this course. Hands-on assignments include classification of demographic data and query/analysis of vector and raster data. One and one half laboratory hours per week required. Prerequisite(s): Permission of instructor.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Social science
Course Materials
|
GEOG 225-L1 30725 |
Intro to GIS Lab |
Days: W
|
Time: 10:50 am-12:20 pm
|
Room: CARN 108
|
Instructor: Ashley Nepp
|
Avail./Max.: 14 / 23
|
*Permission of instructor required; first day attendance required*
Details
This course provides an introduction to cartography, visualization, and analyses of geospatial data, as well as hands-on experience with geospatial technologies in the GIS laboratory. Students will learn the basics of mapping/cartography (e.g. scale, projections, map design) and Geographic Information Systems. Students will create maps with commonly used digital data (e.g., aerial photographs, census boundaries, digital elevation models, etc.), and master basic methods of spatial analyses. Both concepts and techniques will be taught in this course. Hands-on assignments include classification of demographic data and query/analysis of vector and raster data. One and one half laboratory hours per week required. Prerequisite(s): Permission of instructor.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
GEOG 225-L2 30726 |
Intro to GIS Lab |
Days: R
|
Time: 09:40 am-11:10 am
|
Room: CARN 108
|
Instructor: Ashley Nepp
|
Avail./Max.: 4 / 23
|
*Permission of instructor required; first day attendance required*
Details
This course provides an introduction to cartography, visualization, and analyses of geospatial data, as well as hands-on experience with geospatial technologies in the GIS laboratory. Students will learn the basics of mapping/cartography (e.g. scale, projections, map design) and Geographic Information Systems. Students will create maps with commonly used digital data (e.g., aerial photographs, census boundaries, digital elevation models, etc.), and master basic methods of spatial analyses. Both concepts and techniques will be taught in this course. Hands-on assignments include classification of demographic data and query/analysis of vector and raster data. One and one half laboratory hours per week required. Prerequisite(s): Permission of instructor.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
ANTH 230-01 30016 |
Ethnographic Interviewing |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: CARN 105
|
Instructor: Hilary Chart
|
Avail./Max.: 6 / 16
|
Details
An introduction to ethnographic field interviewing learned in the context of individually run student field projects. Focuses on the anthropologist-informant field relationship and the discovery of cultural knowledge through participant observation and ethnosemantic interviewing techniques. Prerequisite(s): ANTH 101 or ANTH 111 or permission of instructor.
General Education Requirements:
Writing WA
Distribution Requirements:
Social science
Course Materials
|
EDUC 230-01 30204 |
Community Youth Development in Multicultural America |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: THEATR 206
|
Instructor: Tina Kruse
|
Avail./Max.: 2 / 24
|
*First day attendance required*
Details
Brofenbrenner's bioecological model of human development suggests the critical importance of social contexts besides the classroom in supporting the healthy development of children and youth from diverse social and economic backgrounds. This course examines the multiple systems affecting the developmental process through course readings, meetings, and assignments, grounded in a field placement of the student's choosing. Appropriate field placements will engage students in a variety of youth development capacities, including centers for research and program development, social service organizations, and agencies aimed at improving youth-oriented social policy. This course provides an opportunity to examine education more broadly defined, and to explore fields of youth development such as social work, counseling, athletics, youth leadership, and youth-centered research.
General Education Requirements:
U.S. Identities and Differences
Distribution Requirements:
Social science
Course Materials
|
AMST 237-01 30243 |
Environmental Justice |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 243
|
Instructor: Christie Manning
|
Avail./Max.: 3 / 24
|
*First day attendance required; cross-listed with ENVI 237-01; not available to ACTC students*
Details
Poor and minority populations have historically borne the brunt of environmental inequalities in the United States, suffering disproportionately from the effects of pollution, resource depletion, dangerous jobs, limited access to common resources, and exposure to environmental hazards. Paying particular attention to the ways that race, ethnicity, class, and gender have shaped the political and economic dimensions of environmental injustices, this course draws on the work of scholars and activists to examine the long history of environmental inequities in the United States, along with more recent political movements-national and local-that seek to rectify environmental injustices.
General Education Requirements:
U.S. Identities and Differences
Distribution Requirements:
Social science
Course Materials
|
ENVI 237-01 30242 |
Environmental Justice |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 243
|
Instructor: Christie Manning
|
Avail./Max.: 3 / 24
|
*First day attendance required; cross-listed with AMST 237-01; not available to ACTC students*
Details
Poor and minority populations have historically borne the brunt of environmental inequalities in the United States, suffering disproportionately from the effects of pollution, resource depletion, dangerous jobs, limited access to common resources, and exposure to environmental hazards. Paying particular attention to the ways that race, ethnicity, class, and gender have shaped the political and economic dimensions of environmental injustices, this course draws on the work of scholars and activists to examine the long history of environmental inequities in the United States, along with more recent political movements-national and local-that seek to rectify environmental injustices.
General Education Requirements:
U.S. Identities and Differences
Distribution Requirements:
Social science
Course Materials
|
WGSS 250-01 30352 |
Race, Gender, and Medicine |
Days: M
|
Time: 07:00 pm-10:00 pm
|
Room: THEATR 201
|
Instructor: Amy Sullivan
|
Avail./Max.: -1 / 15
|
*Cross-listed with HIST 350-01*
Details
This seminar-style class examines the intersection of race, gender, and sexuality in the history of medicine and health in the U.S. Our diverse topics for study include eugenics, sexuality, midwifery, cultural/spiritual healing methods, pandemics, race- and gender-based ailments and medical experiments (such as the science and politics of the birth control pill and the infamous Tuskegee syphilis experiment), gender reassignment surgery, and sex-testing in the Olympics. This wide range of topics will prepare students to explore a research topic of their own choosing for a final paper.
General Education Requirements:
Writing WA
U.S. Identities and Differences
Distribution Requirements:
Humanities
Course Materials
|
PSYC 252-01 30572 |
Distress, Dysfunction, and Disorder: Perspectives on the DSM |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: OLRI 250
|
Instructor: Jaine Strauss
|
Avail./Max.: 6 / 60
|
Details
This course examines the experiences, causes, and treatments of the major forms of distress and disorder codified in the Diagnostic and Statistical Manual (DSM), including schizophrenia, mood disorders, anxiety disorders, dissociative disorders, stress disorders, and personality disorders. We critically evaluate theories and research derived from biological, genetic, psychological, interpersonal, and social-cultural perspectives. Group B course. Prerequisite(s): PSYC 100 or PSYC 180
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
STAT 253-01 30447 |
Statistical Machine Learning |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: OLRI 241
|
Instructor: James Normington
|
Avail./Max.: 1 / 20
|
*First day attendance required*
Details
The linear and logistic modeling techniques from STAT 155 are augmented with the three foundational machine learning tasks: regression, classification, and clustering. The course explores techniques central to these tasks, including methods of data exploration, supervised and unsupervised learning, parametric and nonparametric modeling, and model training and evaluation. As required by the application of these sophisticated techniques, the course also introduces foundational statistical computer programming concepts. Prerequisite(s): STAT 155.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 253-02 30448 |
Statistical Machine Learning |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: THEATR 002
|
Instructor: James Normington
|
Avail./Max.: 0 / 20
|
*First day attendance required*
Details
The linear and logistic modeling techniques from STAT 155 are augmented with the three foundational machine learning tasks: regression, classification, and clustering. The course explores techniques central to these tasks, including methods of data exploration, supervised and unsupervised learning, parametric and nonparametric modeling, and model training and evaluation. As required by the application of these sophisticated techniques, the course also introduces foundational statistical computer programming concepts. Prerequisite(s): STAT 155.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 253-03 30449 |
Statistical Machine Learning |
Days: M W F
|
Time: 01:10 pm-02:10 pm
|
Room: THEATR 002
|
Instructor: Leslie Myint
|
Avail./Max.: -1 / 20
|
*First day attendance required*
Details
The linear and logistic modeling techniques from STAT 155 are augmented with the three foundational machine learning tasks: regression, classification, and clustering. The course explores techniques central to these tasks, including methods of data exploration, supervised and unsupervised learning, parametric and nonparametric modeling, and model training and evaluation. As required by the application of these sophisticated techniques, the course also introduces foundational statistical computer programming concepts. Prerequisite(s): STAT 155.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
POLI 269-01 30541 |
Empirical Research Methods |
Days: M W
|
Time: 08:00 am-09:30 am
|
Room: CARN 204
|
Instructor: Lisa Mueller
|
Avail./Max.: 0 / 20
|
*First day attendance required*
Details
This course will equip you with the skills and intuition to think about politics in a more critical and organized way. You will practice the scientific method - identifying a problem worthy of study, developing testable hypotheses, designing a research strategy, gathering data, analyzing data, and interpreting your results - and contemplate the philosophical conundrums that underlie our efforts to describe, explain, and interpret complex phenomena. Empirical Methods: The department requires its majors to take one course in empirical research methodology before their senior year. In addition to this course, there are a number of other courses that fulfill this requirement, including: POLI 272, SOCI 269, SOCI 270, SOCI 275. In some cases, research methods courses taken in other social science disciplines may be used to fulfill this requirement following approval by the political science department chair.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
SOCI 269-01 30615 |
Social Science Inquiry |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: HUM 401
|
Instructor: Christina Hughes
|
Avail./Max.: -6 / 20
|
Details
Social science presents claims about the social world in a particular manner that is centered on theoretical claims (explanations) supported by evidence. This course covers the methods through which social scientists develop emprically-supported explanations. The course covers three main sets of topics: the broad methodological questions posed by philosophy of social science, how social scientists develop research design to generate relevant evidence, and methods with which social scientists analyze data. For both the research design and analysis sections, we will concentrate on quantitative research, learning how to use statistical software.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
ANTH 294-02 30018 |
Psychiatry and Culture |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: CARN 06B
|
Instructor: Eva Corsiglia-Melstrom
|
Avail./Max.: 10 / 24
|
Details
In this course we will examine ethnographies situated at the intersection of psychiatry and culture. We will examine the role of culture(s) and detail key theoretical and practical debates pertinent to the globalization of mental health care. This course is guided by an examination into the ways in which mental and emotional unwellness is made, unmade, and remade in response to dynamic social life. Attention to history, political-economic structures, stigma, race, class, ethnicity, and gender will undergird our consideration of cultural factors. We will read ethnographies from diverse geographies, including Morocco, Algeria, United States, Italy, Ireland, Nepal, and Tibet. Prerequisite: ANTH 101 or ANTH 111 or ANTH 239; or permission of instructor.
General Education Requirements:
Internationalism
Distribution Requirements:
Social science
Course Materials
|
HIST 350-01 30351 |
Race, Gender, and Medicine |
Days: M
|
Time: 07:00 pm-10:00 pm
|
Room: THEATR 201
|
Instructor: Amy Sullivan
|
Avail./Max.: -1 / 15
|
*Cross-listed with WGSS 250-01*
Details
This seminar-style class examines the intersection of race, gender, and sexuality in the history of medicine and health in the U.S. Our diverse topics for study include eugenics, sexuality, midwifery, cultural/spiritual healing methods, pandemics, race- and gender-based ailments and medical experiments (such as the science and politics of the birth control pill and the infamous Tuskegee syphilis experiment), gender reassignment surgery, and sex-testing in the Olympics. This wide range of topics will prepare students to explore a research topic of their own choosing for a final paper. Can count towards "Gender," or "Race and Indigeneity," or "Law and Social Justice," or "North America" fields.
General Education Requirements:
Writing WA
U.S. Identities and Differences
Distribution Requirements:
Humanities
Course Materials
|
GEOG 368-01 30300 |
Health GIS |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: CARN 109
|
Instructor: Kelsey McDonald
|
Avail./Max.: 0 / 12
|
*Permission of instructor required; first day attendance required*
Details
This course builds on skills learned in the introductory Geographic Information Systems (GIS) course, focusing explicitly on geospatial techniques used for analyzing problems in public health. Through lectures, discussions, hands-on labs, and collaborative group work, students will learn to use advanced GIS tools to visualize and analyze public health issues, including: health disparities; neighborhood effects on health; spatial clustering of disease events, such as cancers; environmental health and environmental justice; infectious and vector-borne disease; and accessibility of populations to health care services. The course builds skills in spatial thinking, statistical and epidemiological reasoning, logical inference, critical use of data, geovisualization, and research project design. Students will be required to complete a final independent project on a topic of their choice. Laboratory work is required. Prerequisite(s): GEOG 225 and permission of instructor; completion of GEOG 256 and/or STAT 125 is highly encouraged before taking this course.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 368-01 30577 |
Psychology of/and Disability |
Days: T R
|
Time: 03:00 pm-04:30 pm
|
Room: OLRI 370
|
Instructor: Joan Ostrove
|
Avail./Max.: -2 / 16
|
*Cross-listed with WGSS 368-01*
Details
What is "disability" and what does an understanding of disability tell us about human experience more generally? What is a "disability identity" and what implications might claiming that identity have for psychological well-being and social change? How do stereotypes of disabled people and expectations of "normality" affect everyone's lives (not just those with disabilities)? Why don't many Deaf people consider themselves "disabled?" What might we learn from shifting the "problem" of disability from the individual person to the social environment? How do sexism, racism, classism, homophobia, transphobia, and other forms of oppression influence how different bodies are viewed, treated, educated, and experienced? This course will explore questions that emerge from thinking about the experience of disability (and its intersection with identities based on gender, race, class, and sexuality). Our work together will be grounded in critical disability and Deaf studies frameworks that are themselves informed by and in conversation with feminist, queer, and critical race theories and perspectives. Through a consideration of the socially, culturally, linguistically, and historically constructed meanings of physical, sensory, and cognitive "impairments," the course will rely on theoretical and empirical readings from psychology and related disciplines, personal essays, film/video, and guest visitors as we explore the social and psychological meanings of disability. Prerequisite(s): PSYC 100; and PSYC 201 or STAT 155
General Education Requirements:
U.S. Identities and Differences
Distribution Requirements:
Social science
Course Materials
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ECON 381-01 30195 |
Introduction to Econometrics |
Days: M W F
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Time: 09:40 am-10:40 am
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Room: CARN 309
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Instructor: Gary Krueger
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Avail./Max.: 0 / 22
|
Details
Econometrics is the theory and practice of analyzing economic data. We investigate and implement methods economists use to test theories, evaluate and establish causal inference, and conduct economic forecasts. Students learn to design, conduct, and evaluate empirical work in economics and other social sciences. We apply acquired skills through a final research project that integrates secondary research, economic theory, and econometric analysis. We take a "hands on" approach by practicing each week's material in the Economics Department's computer lab. This course counts as a Group E elective. Prerequisite(s): ECON 361; and one of the following: STAT 155 or GEOG 378 or PSYC 201. A grade of C- or higher required for all prerequisites.
General Education Requirements:
Writing WA
Distribution Requirements:
Social science
Course Materials
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ECON 381-02 30196 |
Introduction to Econometrics |
Days: M W F
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Time: 10:50 am-11:50 am
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Room: CARN 309
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Instructor: Gary Krueger
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Avail./Max.: 11 / 22
|
Details
Econometrics is the theory and practice of analyzing economic data. We investigate and implement methods economists use to test theories, evaluate and establish causal inference, and conduct economic forecasts. Students learn to design, conduct, and evaluate empirical work in economics and other social sciences. We apply acquired skills through a final research project that integrates secondary research, economic theory, and econometric analysis. We take a "hands on" approach by practicing each week's material in the Economics Department's computer lab. This course counts as a Group E elective. Prerequisite(s): ECON 361; and one of the following: STAT 155 or GEOG 378 or PSYC 201. A grade of C- or higher required for all prerequisites.
General Education Requirements:
Writing WA
Distribution Requirements:
Social science
Course Materials
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ECON 381-L1 30197 |
Intro to Econometrics Lab |
Days: R
|
Time: 10:10 am-11:10 am
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Room: CARN 309
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Instructor: Gary Krueger
|
Avail./Max.: 12 / 22
|
Details
Econometrics is the theory and practice of analyzing economic data. We investigate and implement methods economists use to test theories, evaluate and establish causal inference, and conduct economic forecasts. Students learn to design, conduct, and evaluate empirical work in economics and other social sciences. We apply acquired skills through a final research project that integrates secondary research, economic theory, and econometric analysis. We take a "hands on" approach by practicing each week's material in the Economics Department's computer lab. This course counts as a Group E elective. Prerequisite(s): ECON 361; and one of the following: STAT 155 or GEOG 378 or PSYC 201. A grade of C- or higher required for all prerequisites.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
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ECON 381-L2 30198 |
Intro to Econometrics Lab |
Days: R
|
Time: 01:20 pm-02:20 pm
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Room: CARN 309
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Instructor: Gary Krueger
|
Avail./Max.: -1 / 22
|
Details
Econometrics is the theory and practice of analyzing economic data. We investigate and implement methods economists use to test theories, evaluate and establish causal inference, and conduct economic forecasts. Students learn to design, conduct, and evaluate empirical work in economics and other social sciences. We apply acquired skills through a final research project that integrates secondary research, economic theory, and econometric analysis. We take a "hands on" approach by practicing each week's material in the Economics Department's computer lab. This course counts as a Group E elective. Prerequisite(s): ECON 361; and one of the following: STAT 155 or GEOG 378 or PSYC 201. A grade of C- or higher required for all prerequisites.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
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PSYC 394-02 30765 |
Neuropsychology of Injury and Recovery |
Days: M W
|
Time: 07:00 pm-08:30 pm
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Room: OLRI 352
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Instructor: Rial, Roman
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Avail./Max.: 0 / 16
|
Details
This seminar will cover the basics of traumatic injury to the central nervous system (CNS) as well as the short and long term biological and psychological effects of recovery. Topics will explore traumatic brain and spinal cord injury and their complex relationship with age, how barriers to access affect treatment, and societal perceptions of injury in the context of sports and public health. Student-led discussions of primary sources will address questions such as: What happens to the CNS when it is injured? How does the biological response to injury help and/or hinder recovery? What factors influence a person’s ability to fully “recover”? What does it mean to find a cure? The course draws from clinical, psychological, and research-based perspectives to examine the multifaceted fields of pain, injury, and recovery. Prerequisites: PSYC 100, and PSYC 201 or STAT 155.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
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BIOL 400-01 30115 |
Seminar in Neuropharmacology |
Days: M W
|
Time: 08:00 am-09:30 am
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Room: OLRI 270
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Instructor: Marc Pisansky
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Avail./Max.: 3 / 16
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*Permission of instructor required; first day attendance required; in order to enroll in this upper-level Biology class, you must complete the Biology Department's "Request Permission to Enroll" form, which can be found on the page titled Macalester Biology Courses - Permissions and Waitlists; ACTC students require permission of instructor*
Details
This is an advanced course that will focus on the study of drugs used to alter the central nervous system. The course will begin with basic pharmacological principles and then concentrate on the various uses of drugs to alter brain neurochemistry. Topics for discussion will include the pharmacological treatment of schizophrenia, depression, pain, anxiety and generally, the neurochemical basis of behavior. In addition to discussion of the use of drugs for clinical purposes, a significant amount of time will be spent on the use of "drugs of abuse" (e.g. cocaine, marijuana, LSD). While the focus of the course will be on the biochemical mechanisms of these drugs, an effort will be made to investigate and discuss the sociological ramifications of drug use. Three discussion/lecture hours per week. Prerequisite(s): BIOL 316 or PSYC 248; junior or senior standing; or permission of instructor.
General Education Requirements:
Writing WA
Distribution Requirements:
Natural science and mathematics
Course Materials
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INTD 411-01 30790 |
Sr Seminar in Community and Global Health |
Days: M
|
Time: 03:30 pm-04:30 pm
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Room: THEATR 204
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Instructor: Addona, Asarnow
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Avail./Max.: 35 / 50
|
*When registration begins, please make sure to enroll in INTD-411, Senior Seminar in Community and Global Health. This is a 1-credit course required of CGH concentrators. The time and location for this class will be TBD at the time of registration. After seniors have registered for the course, we will poll you to find a time that works for everyone for a 1-hour meeting, once per week.*
Details
A one-credit culminating seminar, meeting weekly for one hour in the spring term, in which issues in community and global health are discussed from an interdisciplinary perspective. In addition to sponsoring lectures by notable public health professionals, the seminar will also provide opportunities for students to share the work they have done on their CGH project in a public presentation. Credit for the CGH project is earned upon successful completion of the senior seminar. Typically, this seminar will be taken in the student's senior year. S/SN grading only.
General Education Requirements:
Distribution Requirements:
Course Materials
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INTD 411-02 31023 |
Sr Seminar in Community and Global Health |
Days: F
|
Time: 10:50 am-11:50 am
|
Room: ARTCOM 202
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Instructor: Addona, Asarnow
|
Avail./Max.: 9 / 25
|
Details
A one-credit culminating seminar, meeting weekly for one hour in the spring term, in which issues in community and global health are discussed from an interdisciplinary perspective. In addition to sponsoring lectures by notable public health professionals, the seminar will also provide opportunities for students to share the work they have done on their CGH project in a public presentation. Credit for the CGH project is earned upon successful completion of the senior seminar. Typically, this seminar will be taken in the student's senior year. S/SN grading only.
General Education Requirements:
Distribution Requirements:
Course Materials
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STAT 451-01 30450 |
Causal Inference |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: THEATR 101
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Instructor: Leslie Myint
|
Avail./Max.: 6 / 16
|
*First day attendance required*
Details
"Correlation does not imply causation." We've all heard this mantra, warding us away from reading too much into the association between murder rates and ice cream sales, between shoe size and reading ability, and the like. But this mantra leaves us wanting: how do we study causation? Questions of causation are essential when we try to understand the effects of new medical treatments, policies, or programs. In this course, we'll examine frameworks of thinking, statistical tools, and study designs that enable us to learn about the causal effects of interventions. Some specific topics include graphical causal models, randomized experiments, propensity score methods, instrumental variables, and interrupted time series designs. This course should be useful to those interested in biology, economics, medicine, public policy and any area in which interventions are routinely evaluated. Prerequisite(s): STAT 155 and STAT 354
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
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STAT 451-02 30451 |
Causal Inference |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: THEATR 101
|
Instructor: Leslie Myint
|
Avail./Max.: 4 / 16
|
*First day attendance required*
Details
"Correlation does not imply causation." We've all heard this mantra, warding us away from reading too much into the association between murder rates and ice cream sales, between shoe size and reading ability, and the like. But this mantra leaves us wanting: how do we study causation? Questions of causation are essential when we try to understand the effects of new medical treatments, policies, or programs. In this course, we'll examine frameworks of thinking, statistical tools, and study designs that enable us to learn about the causal effects of interventions. Some specific topics include graphical causal models, randomized experiments, propensity score methods, instrumental variables, and interrupted time series designs. This course should be useful to those interested in biology, economics, medicine, public policy and any area in which interventions are routinely evaluated. Prerequisite(s): STAT 155 and STAT 354
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
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BIOL 473-01 30116 |
Research in Immunology |
Days: M W
|
Time: 08:00 am-09:30 am
|
Room: OLRI 300
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Instructor: Elena Tonc
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Avail./Max.: 0 / 8
|
*Permission of instructor required; first day attendance required; in order to enroll in this upper-level Biology class, you must complete the Biology Department's "Request Permission to Enroll" form, which can be found on the page titled Macalester Biology Courses - Permissions and Waitlists; ACTC students require permission of instructor*
Details
This course involves collaborative research with a faculty member on a current problem in immunology. Students participate in intensive reading of primary literature, journal-club style presentations, detailed experimental design and written and oral presentation of proposed research projects. The laboratory component focuses on acquiring independent research skills, gaining technical expertise and carrying out novel research. Three lecture/discussion hours and four to six hours of laboratory per week. Prerequisite(s): BIOL 190 and BIOL 200; junior or senior standing; and permission of the instructor.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
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