LING 100-01 30480 |
Introduction to Linguistics |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: THEATR 002
|
Instructor: Morgan Sleeper
|
|
*First day attendance required*
Details
The aim of this course is to make you aware of the complex organization and systematic nature of language, the primary means of human communication. In a sense, you will be studying yourself, since you are a prime example of a language user. Most of your knowledge of language, however, is unconscious, and the part of language that you can describe is largely the result of your earlier education, which may have given you confused, confusing, or misleading notions about language. This course is intended to clarify your ideas about language and bring you to a better understanding of its nature. By the end of the course you should be familiar with some of the terminology and techniques of linguistic analysis and be able to apply this knowledge to the description of different languages. There are no prerequisites, but this course is the prerequisite for almost every higher level course within the linguistics major.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-01 30612 |
Introduction to Psychology |
Days: M W F
|
Time: 08:30 am-09:30 am
|
Room: THEATR 001
|
Instructor: Ariel James
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Writing WP
Quantitative Thinking Q1
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-02 30613 |
Introduction to Psychology |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: THEATR 001
|
Instructor: Ariel James
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Writing WP
Quantitative Thinking Q1
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-L1 30614 |
Introduction to Psychology Lab |
Days: T
|
Time: 09:40 am-11:10 am
|
Room: OLRI 352
|
Instructor: Jamie Atkins
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-L2 30615 |
Introduction to Psychology Lab |
Days: T
|
Time: 03:00 pm-04:30 pm
|
Room: OLRI 350
|
Instructor: Jamie Atkins
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-L3 30616 |
Introduction to Psychology Lab |
Days: R
|
Time: 09:40 am-11:10 am
|
Room: OLRI 352
|
Instructor: Jamie Atkins
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 100-L4 30617 |
Introduction to Psychology Lab |
Days: R
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 352
|
Instructor: Jamie Atkins
|
|
Details
An introduction to psychological science -- the study of behavior and mental processes. This course surveys the major subdisciplines of the field, including such topics as the brain and neuroscience, behavioral genetics, cognitive and social development, perception, learning, memory, decision-making, language, consciousness, emotions, motivation, psychological disorders, social identity, interpersonal interactions and group and cultural processes. Lecture and laboratory components.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
COMP 112-01 30183 |
Introduction to Data Science |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: THEATR 205
|
Instructor: Alicia Johnson
|
|
*First day attendance required; cross-listed with STAT 112-01; ACTC students may register on November 17 with permission of instructor*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 112-01 30182 |
Introduction to Data Science |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: THEATR 205
|
Instructor: Alicia Johnson
|
|
*First day attendance required; cross-listed with COMP 112-01; ACTC students may register on November 17 with permission of instructor*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 112-02 30185 |
Introduction to Data Science |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: THEATR 205
|
Instructor: Daniel O'Loughlin
|
|
*First day attendance required; cross-listed with STAT 112-02; ACTC students may register on November 17 with permission of instructor; registration limit has been adjusted to save 6 seats for SRs, 6 seats for JRs, 6 seats for SOs, 6 seats for FYs*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 112-02 30184 |
Introduction to Data Science |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: THEATR 205
|
Instructor: Daniel O'Loughlin
|
|
*First day attendance required; cross-listed with COMP 112-02; ACTC students may register on November 17 with permission of instructor*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 112-03 30187 |
Introduction to Data Science |
Days: T R
|
Time: 03:00 pm-04:30 pm
|
Room: THEATR 202
|
Instructor: Daniel O'Loughlin
|
|
*First day attendance required; cross-listed with STAT 112-03; ACTC students may register on November 17 with permission of instructor*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 112-03 30186 |
Introduction to Data Science |
Days: T R
|
Time: 03:00 pm-04:30 pm
|
Room: THEATR 202
|
Instructor: Daniel O'Loughlin
|
|
*First day attendance required; cross-listed with COMP 112-03; ACTC students may register on November 17 with permission of instructor*
Details
This course provides an introduction to the handling, analysis, and interpretation of the big datasets now routinely being collected in science, commerce, and government. Students achieve facility with a sophisticated, technical computing environment. The course aligns with techniques being used in several courses in the natural and social sciences, statistics, and mathematics. The course is intended to be accessible to all students, regardless of background.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Natural science and mathematics
Course Materials
|
ECON 119-01 30221 |
Principles of Economics |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: THEATR 206
|
Instructor: Elizabeth Engle
|
|
Details
Economics is the study of how people make decisions and how these decisions apply to real-world problems. Economics can help us understand income inequality within and across countries, the quality of the environment, unemployment, poverty, crime, health care, financial crises, technological change, inflation and many more issues. This course introduces the basic tools that economists use to explore these topics and will cover fundamental economic concepts like scarcity, supply and demand, costs and benefits, trade-offs, and incentives. This course is a one semester overview of both microeconomics (the study of choices firms and individual consumers make) and macroeconomics (the study of the economy as a whole). This course counts as a Group E economics course and is the prerequisite for 200-level E courses in the Economics Department.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
ECON 119-02 30222 |
Principles of Economics |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: CARN 305
|
Instructor: Elizabeth Engle
|
|
Details
Economics is the study of how people make decisions and how these decisions apply to real-world problems. Economics can help us understand income inequality within and across countries, the quality of the environment, unemployment, poverty, crime, health care, financial crises, technological change, inflation and many more issues. This course introduces the basic tools that economists use to explore these topics and will cover fundamental economic concepts like scarcity, supply and demand, costs and benefits, trade-offs, and incentives. This course is a one semester overview of both microeconomics (the study of choices firms and individual consumers make) and macroeconomics (the study of the economy as a whole). This course counts as a Group E economics course and is the prerequisite for 200-level E courses in the Economics Department.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
ECON 119-03 30223 |
Principles of Economics |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: CARN 304
|
Instructor: Amy Damon
|
|
Details
Economics is the study of how people make decisions and how these decisions apply to real-world problems. Economics can help us understand income inequality within and across countries, the quality of the environment, unemployment, poverty, crime, health care, financial crises, technological change, inflation and many more issues. This course introduces the basic tools that economists use to explore these topics and will cover fundamental economic concepts like scarcity, supply and demand, costs and benefits, trade-offs, and incentives. This course is a one semester overview of both microeconomics (the study of choices firms and individual consumers make) and macroeconomics (the study of the economy as a whole). This course counts as a Group E economics course and is the prerequisite for 200-level E courses in the Economics Department.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
ECON 119-04 30224 |
Principles of Economics |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: CARN 304
|
Instructor: Amy Damon
|
|
Details
Economics is the study of how people make decisions and how these decisions apply to real-world problems. Economics can help us understand income inequality within and across countries, the quality of the environment, unemployment, poverty, crime, health care, financial crises, technological change, inflation and many more issues. This course introduces the basic tools that economists use to explore these topics and will cover fundamental economic concepts like scarcity, supply and demand, costs and benefits, trade-offs, and incentives. This course is a one semester overview of both microeconomics (the study of choices firms and individual consumers make) and macroeconomics (the study of the economy as a whole). This course counts as a Group E economics course and is the prerequisite for 200-level E courses in the Economics Department.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
|
COMP 123-01 30188 |
Core Concepts in Computer Science |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: OLRI 258
|
Instructor: Lauren Milne
|
|
*First day attendance required; ACTC students may register on November 17 with permission of instructor*
Details
This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 123-02 30189 |
Core Concepts in Computer Science |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: OLRI 258
|
Instructor: Lauren Milne
|
|
*First day attendance required; ACTC students may register on November 17 with permission of instructor*
Details
This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 123-03 30190 |
Core Concepts in Computer Science |
Days: M W F
|
Time: 01:10 pm-02:10 pm
|
Room: OLRI 258
|
Instructor: Amin Alhashim
|
|
*First day attendance required; ACTC students may register on November 17 with permission of instructor*
Details
This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 123-04 30191 |
Core Concepts in Computer Science |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: OLRI 258
|
Instructor: Lian Duan
|
|
*First day attendance required; ACTC students may register on November 17 with permission of instructor*
Details
This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
COMP 123-05 30192 |
Core Concepts in Computer Science |
Days: T R
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 258
|
Instructor: Lian Duan
|
|
*First day attendance required; ACTC students may register on November 17 with permission of instructor*
Details
This course introduces the field of computer science, including central concepts such as the design and implementation of algorithms and programs, testing and analyzing programs, the representation of information within the computer, and the role of abstraction and metaphor in computer science. The exploration of these central ideas will draw examples from a range of application areas including multimedia processing, turtle graphics, and text processing. Course work will use the Python programming language.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
STAT 155-01 30742 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: THEATR 202
|
Instructor: Vittorio Addona
|
|
*ACTC students may register on November 17 with permission of instructor*
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 30743 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 10:50 am-11:50 am
|
Room: THEATR 202
|
Instructor: Vittorio Addona
|
|
*ACTC students may register on November 17 with permission of instructor*
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 30745 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 02:20 pm-03:20 pm
|
Room: OLRI 241
|
Instructor: Taylor Okonek
|
|
*ACTC students may register on November 17 with permission of instructor*
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 30746 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 12:00 pm-01:00 pm
|
Room: OLRI 254
|
Instructor: Laura Lyman
|
|
*ACTC students may register on November 17 with permission of instructor*
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 30747 |
Introduction to Statistical Modeling |
Days: M W F
|
Time: 03:30 pm-04:30 pm
|
Room: OLRI 254
|
Instructor: Laura Lyman
|
|
*ACTC students may register on November 17 with permission of instructor*
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
|
PHIL 201-01 30555 |
Modern Philosophy |
Days: M W F
|
Time: 02:20 pm-03:20 pm
|
Room: MAIN 010
|
Instructor: Geoffrey Gorham
|
|
Details
Modern Philosophy: Study of influential 17th and 18th century philosophers, such as Descartes, Locke, Spinoza, Hobbes, Cavendish, Cockburn, Berkeley, Hume, Kant, and Shepherd. The course considers issues regarding knowledge, freedom of the will, personal identity, space and time, the mind-body problem, ethics and the good life, and the relation between reason and faith. About one-half of the philosophers studied are neglected women philosophers and philosophers of color. This class is textless. All readings are posted to Moodle in .pdf format. Discussion-based class meetings. Evaluation by papers and take-home exams.
General Education Requirements:
Writing WA
Distribution Requirements:
Humanities
Course Materials
|
PSYC 201-01 30618 |
Research in Psychology I |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: THEATR 213
|
Instructor: Steve Guglielmo
|
|
*Students registered for this section must register for either PSYC 201-L1 or L2*
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 30621 |
Research in Psychology I |
Days: M W F
|
Time: 01:10 pm-02:10 pm
|
Room: THEATR 203
|
Instructor: Annie Pezalla
|
|
*Students registered for this section must register for PSYC 201-L3 or L4*
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 30619 |
Research in Psychology I Lab |
Days: R
|
Time: 09:40 am-11:10 am
|
Room: OLRI 349
|
Instructor: Steve Guglielmo
|
|
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 30620 |
Research in Psychology I Lab |
Days: R
|
Time: 03:00 pm-04:30 pm
|
Room: OLRI 349
|
Instructor: Steve Guglielmo
|
|
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 30622 |
Research in Psychology I Lab |
Days: T
|
Time: 09:40 am-11:10 am
|
Room: OLRI 349
|
Instructor: Annie Pezalla
|
|
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 30623 |
Research in Psychology I Lab |
Days: T
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 349
|
Instructor: Annie Pezalla
|
|
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 242-01 30624 |
Cognitive Psychology |
Days: M W F
|
Time: 02:20 pm-03:20 pm
|
Room: OLRI 352
|
Instructor: Brooke Lea
|
|
Details
How do people learn, remember, and think? How much of our cognitive life are we even consciously aware of? This course addresses these questions and others from the perspective of experimental cognitive psychology. Topics include perception, attention, memory, the organization of knowledge, language, and decision making. Weekly laboratory sessions afford students the opportunity to interact more directly with cognitive phenomena and research methods. Readings are mainly from primary sources. Group A course. Prerequisite(s): PSYC 100.
General Education Requirements:
Quantitative Thinking Q2
Distribution Requirements:
Social science
Course Materials
|
PSYC 242-L1 30625 |
Cognitive Psychology Lab |
Days: R
|
Time: 01:20 pm-02:50 pm
|
Room: OLRI 349
|
Instructor: Brooke Lea
|
|
Details
How do people learn, remember, and think? How much of our cognitive life are we even consciously aware of? This course addresses these questions and others from the perspective of experimental cognitive psychology. Topics include perception, attention, memory, the organization of knowledge, language, and decision making. Weekly laboratory sessions afford students the opportunity to interact more directly with cognitive phenomena and research methods. Readings are mainly from primary sources. Group A course. Prerequisite(s): PSYC 100.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
|
PSYC 244-01 30626 |
Cognitive Neuroscience |
Days: M W F
|
Time: 09:40 am-10:40 am
|
Room: THEATR 203
|
Instructor: Darcy Burgund
|
|
*ACTC students may register on the first day of class with permission of instructor*
Details
Cognitive neuroscience is a relatively recent discipline that combines cognitive science and cognitive psychology with biology and neuroscience to investigate how the brain enables the myriad of complex functions we know as the mind. This course will explore basic concepts and contemporary topics in the field, focusing in particular on the methods used in cognitive neuroscience research. Through lecture and lab sessions, students will learn to read and interpret primary source material, design and implement cognitive neuroscience studies, and present research in verbal and written forms. Overall, students will gain an appreciation for the amazing intricacy of the brain-mind relationship, as well as a sense of how this relationship may be understood eventually using cognitive neuroscience techniques. Group A course. Prerequisite(s): PSYC 180 or PSYC 100.
General Education Requirements:
Quantitative Thinking Q1
Distribution Requirements:
Natural science and mathematics
Course Materials
|
PSYC 244-L1 30627 |
Cognitive Neuroscience Lab |
Days: R
|
Time: 09:40 am-11:10 am
|
Room: THEATR 203
|
Instructor: Darcy Burgund
|
|
Details
Cognitive neuroscience is a relatively recent discipline that combines cognitive science and cognitive psychology with biology and neuroscience to investigate how the brain enables the myriad of complex functions we know as the mind. This course will explore basic concepts and contemporary topics in the field, focusing in particular on the methods used in cognitive neuroscience research. Through lecture and lab sessions, students will learn to read and interpret primary source material, design and implement cognitive neuroscience studies, and present research in verbal and written forms. Overall, students will gain an appreciation for the amazing intricacy of the brain-mind relationship, as well as a sense of how this relationship may be understood eventually using cognitive neuroscience techniques. Group A course. Prerequisite(s): PSYC 180 or PSYC 100.
General Education Requirements:
Distribution Requirements:
Natural science and mathematics
Course Materials
|
POLI 269-01 30600 |
Empirical Research Methods |
Days: T R
|
Time: 09:40 am-11:10 am
|
Room: CARN 107
|
Instructor: Julie Dolan
|
|
*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
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SOCI 269-01 30677 |
Social Science Inquiry |
Days: T R
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Time: 03:00 pm-04:30 pm
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Room: CARN 304
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Instructor: Christina Hughes
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*Pre-registration restricted to declared sociology majors. Students from other majors or backgrounds may be added on a space-available basis during drop-add.*
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
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LING 304-01 30484 |
Experimental Phonetics |
Days: T R
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Time: 09:40 am-11:10 am
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Room: HUM 402
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Instructor: Christina Esposito
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*First day attendance required*
Details
What is sound and how do linguists study it? This course is an introduction to basic acoustics and experimental procedures in linguistics. We learn how to quantify the speech signal (using Praat software) to answer questions about human speech sounds. Students will have a chance to learn about their own speech through in-class activities, such as plotting their vowel space, measuring their pitch range, and determining how they produce consonants by conducting static palatography (a procedure where the tongue is "painted" to learn more about articulation). Students will conduct their own linguistic research based on a language/dialect of their choice. Prerequisite(s): LING 104
General Education Requirements:
Writing WA
Quantitative Thinking Q2
Distribution Requirements:
Social science
Course Materials
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PHIL 311-01 30563 |
Philosophy of Language |
Days: M W F
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Time: 10:50 am-11:50 am
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Room: HUM 402
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Instructor: Rotem Herrmann
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*Cross-listed with LING 311-01*
Details
What is language and what is it for? What makes a series of sounds into a meaningful sentence? What makes a sentence true? Why is language always changing? This course will introduce students to ways in which twentieth century philosophers have attempted to provide answers to such questions. Since the philosophy of language has been so crucial to contemporary philosophy, this course also serves as an introduction to philosophical thought from the beginning of twentieth century to the present. Topics will range from more technical problems (theories of meaning, reference and truth; synonymy and analyticity; universals and natural kinds; private languages) to broader issues examining the relationship between language and culture (language games; radical interpretation; social change). Readings typically include writings by Ludwig Wittgenstein, W.V. Quine, John Searle, Donald Davidson, Richard Rorty, Michel Foucault, and bell hooks. Prerequisite(s): PHIL 201, or permission of instructor.
General Education Requirements:
Writing WA
Distribution Requirements:
Humanities
Course Materials
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PHIL 314-01 30565 |
Contemporary Metaphysics |
Days: W
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Time: 07:00 pm-10:00 pm
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Room: MAIN 003
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Instructor: Geoffrey Gorham
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Details
Metaphysics - the investigation of the fundamental categories of being - is as old as philosophy itself. This class is devoted to the most important and intriguing metaphysical theories and problems of contemporary philosophy. Specific topics will vary from year to year depending on student and faculty interest but will likely include: time and space, freedom and determinism, infinity, identity, causality, death, the origin and demise of the universe, abstract and fictional objects, necessity and possibility, human nature and transhumanism, and the categories of race and gender. We will also be concerned with the relationship between metaphysics and other domains within and beyond philosophy, such as literature and natural science. Classes will be seminar-style, focused on discussion of readings and student work. This class is textless - all materials will be made available on Moodle.
General Education Requirements:
Writing WA
Distribution Requirements:
Humanities
Course Materials
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ECON 361-01 30234 |
Intermediate Microeconomic Analysis |
Days: M W F
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Time: 09:40 am-10:40 am
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Room: CARN 305
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Instructor: Sarah West
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Details
In microeconomics, we study how individuals make economic choices. We pose questions like: What influences consumers' purchasing decisions? Will firms replace employees with machines if the minimum wage increases? How do concentrated markets (e.g., airlines, Amazon) affect consumers? If a firm can set different prices for different consumers, what set of prices will be optimal? How do risk and uncertainty affect investment decisions? What is the efficient amount of pollution? What role should governments play in providing resources for public goods like parks? In this course, we derive models of constrained choice to examine fundamental tradeoffs faced by individuals, firms, and governments when making economic decisions and to determine how such decisions influence market outcomes and well-being. This course counts as a Group E elective. Prerequisite(s): MATH 135 or MATH 137, and one 200-level Economics course from Group E electives. Not open to first-year students except by permission of the instructor. C- or higher required for all prerequisites.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
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ECON 361-02 30235 |
Intermediate Microeconomic Analysis |
Days: M W F
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Time: 10:50 am-11:50 am
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Room: CARN 305
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Instructor: Sarah West
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Details
In microeconomics, we study how individuals make economic choices. We pose questions like: What influences consumers' purchasing decisions? Will firms replace employees with machines if the minimum wage increases? How do concentrated markets (e.g., airlines, Amazon) affect consumers? If a firm can set different prices for different consumers, what set of prices will be optimal? How do risk and uncertainty affect investment decisions? What is the efficient amount of pollution? What role should governments play in providing resources for public goods like parks? In this course, we derive models of constrained choice to examine fundamental tradeoffs faced by individuals, firms, and governments when making economic decisions and to determine how such decisions influence market outcomes and well-being. This course counts as a Group E elective. Prerequisite(s): MATH 135 or MATH 137, and one 200-level Economics course from Group E electives. Not open to first-year students except by permission of the instructor. C- or higher required for all prerequisites.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
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GEOG 378-01 30371 |
Statistical Research Methods in Geography |
Days: M W F
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Time: 10:50 am-11:50 am
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Room: CARN 107
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Instructor: Laura Smith
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Details
This course focuses on the statistical methods that geographers use to describe and analyze places and themes. Students will learn both descriptive and inferential statistical methods for use in geographical research, including exploratory data analysis techniques, spatial statistics, geographic sampling, hypothesis testing, and regression analysis. The course provides students with experience in the application of statistical methods to spatial problems through the use of statistical software. Students will also learn to evaluate and develop statistical research designs, including preparation and presentation of an original research project. Prerequisite(s): Geography major or permission of instructor.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Social science
Course Materials
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COMP 440-01 30827 |
Collective Intelligence |
Days: T R
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Time: 01:20 pm-02:50 pm
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Room: THEATR 001
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Instructor: Shilad Sen
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Details
This course introduces the theory and practice of data science applied to online communities such as Wikipedia, Facebook, and Twitter. Students will read and discuss recent academic research papers that analyze behavior on these websites and use computational simulation, machine learning, and data-mining techniques to analyze massive behavioral datasets in areas such as recommender systems, natural language processing, and tagging systems. This course counts as the capstone. Prerequisite(s): COMP 221 or permission of instructor.
General Education Requirements:
Quantitative Thinking Q3
Distribution Requirements:
Natural science and mathematics
Course Materials
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PSYC 450-01 30646 |
Research in Hemisphere Asymmetries |
Days: M W F
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Time: 10:50 am-11:50 am
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Room: THEATR 101
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Instructor: Darcy Burgund
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*Permission of instructor required*
Details
Although the right and left hemispheres of the brain are highly similar in terms of both structure and function, subtle and not-so-subtle differences between them exist. Exploration of these differences benefits our understanding of the mind and how it is implemented by the brain. Students in this course will identify a question about the right and left hemispheres, and design, conduct, analyze, write up, and present a research study investigating this question. The course fulfills the capstone requirement for the Neuroscience or the Psychology major. Prerequisite(s): PSYC 244, the statistics requirement for the student's major (STAT 155 for Neuroscience majors; PSYC 201 and PSYC 301 for Psychology majors) and permission of instructor.
General Education Requirements:
Writing WA
Distribution Requirements:
Natural science and mathematics
Course Materials
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ECON 490-01 30900 |
Behavioral and Experimental Economics Capstone |
Days: T R
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Time: 01:20 pm-02:50 pm
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Room: CARN 304
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Instructor: Pete Ferderer
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Details
This course surveys recent developments in behavioral economics and considers applications in labor economics, macroeconomics, finance, public finance, consumer choice, and other areas. Our goal is to draw on recent work in cognitive and evolutionary psychology to better understand human behavior and incorporate these insights into neoclassical reasoning and modeling. It is a capstone course. This course counts as a Group E elective. Meets concurrently with ECON 489. Prerequisite(s): ECON 361 and ECON 371. C- or higher required for all prerequisites.
General Education Requirements:
Distribution Requirements:
Social science
Course Materials
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