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Your search for courses · during 25SP · tagged with CGSC Elective · returned 8 results
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CGSC 330 Embodied Cognition 6 credits
This seminar will consider recent work in philosophy, cognitive science and linguistics critical of views of human cognition as “disembodied” and Cartesian. Philosophical sources of the early critiques of symbolic AI and “cartesianism” will be considered (Merleau-Ponty, Dewey), as will the enactive (Cuffari, Di Paolo, and De Jaegher) and ecological (Chemero, Cowley, Steffensen) critiques of language, and current work on embodied cognition by Eleanor Rosch, Hubert Dreyfus, John Haugeland, Andy Clark and Evan Thompson. The seminar will include materials relevant to students in philosophy, linguistics, psychology and cognitive science.
- Spring 2025
- HI, Humanistic Inquiry
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Student has completed any of the following course(s): CGSC 130 or CGSC/PSYC 232 with a grade of C- or better.
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CGSC 330.00 Spring 2025
- Faculty:Jay McKinney 🏫 👤
- Size:15
- T, THHulings 316 1:15pm-3:00pm
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CS 254 Computability and Complexity 6 credits
An introduction to the theory of computation. What problems can and cannot be solved efficiently by computers? What problems cannot be solved by computers, period? Topics include formal models of computation, including finite-state automata, pushdown automata, and Turing machines; formal languages, including regular expressions and context-free grammars; computability and uncomputability; and computational complexity, particularly NP-completeness.
- Spring 2025
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): CS 200 or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 or MATH 236 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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CS 320 Machine Learning 6 credits
What does it mean for a machine to learn? Much of modern machine learning focuses on identifying patterns in large datasets and using these patterns to make predictions about the future. Machine learning has impacted a diverse array of applications and fields, from scientific discovery to healthcare to education. In this artificial intelligence-related course, we’ll both explore a variety of machine learning algorithms in different application areas, taking both theoretical and practical perspectives, and discuss impacts and ethical implications of machine learning more broadly. Topics may vary, but typically focus on regression and classification algorithms, including neural networks.
Not open to students who have previously taken CS 320* (*=Junior Seminar).
X seats held for CS Match until the day after X priority registration.
- Spring 2025
- FSR, Formal or Statistical Reasoning
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Student has completed any of the following course(s): CS 200 or CS 201 with a grade of C- or better or received a Carleton Computer Science 200 Requisite Equivalency AND CS 202 or MATH 236 with a grade of C- or better or received a Carleton Computer Science 202 Requisite Equivalency or received a Carleton Math 236 Requisite Equivalency. MATH 236 will be accepted in lieu of CS 202.
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CS 320.00 Spring 2025
- Faculty:Tom Finzell 🏫
- Size:34
- M, WLanguage & Dining Center 104 11:10am-12:20pm
- FLanguage & Dining Center 104 12:00pm-1:00pm
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19 – reserved for REQ: CS 320 Match (Condition Rule) until 3/7/2025
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CS 361 Artificial Life and Digital Evolution 6 credits
The field of artificial life seeks to understand the dynamics of life by separating them from the substrate of DNA. In this course, we will explore how we can implement the dynamics of life in software to test and generate biological hypotheses, with a particular focus on evolution. Topics will include the basic principles of biological evolution, transferring experimental evolution techniques to computational systems, cellular automata, computational modeling, and digital evolution. All students will be expected to complete and present a term research project recreating and extending recent work in the field of artificial life.
- Spring 2025
- FSR, Formal or Statistical Reasoning
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Student has completed any one of the following course(s): CS 200 or CS 201 with a grade of C- or better or received a Carleton Computer Science 201 or better Requisite Equivalency.
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ECON 265 Game Theory and Economic Applications 6 credits
Game theory is the study of purposeful behavior in strategic situations. It serves as a framework for analysis that can be applied to everyday decisions, such as working with a study group and cleaning your room, as well as to a variety of economic issues, including contract negotiations and firms’ output decisions. In this class, modern game theoretic tools will be primarily applied to economic situations, but we will also draw on examples from other realms.
- Spring 2025
- QRE, Quantitative Reasoning SI, Social Inquiry
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Student has completed any of the following course(s): ECON 111 with a grade of C- or better or has received a grade of B or better in ECON AL (Cambridge A Level Economics) or has received a score of 5 on the AP Microeconomics test or has received a score of 6 or better on the IB Economics test or has received an ECON 111 requisite equivalency.
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ECON 265.00 Spring 2025
- Faculty:Jonathan Lafky 🏫 👤
- Size:25
- M, WWillis 203 12:30pm-1:40pm
- FWillis 203 1:10pm-2:10pm
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MUSC 227 Perception and Cognition of Music 6 credits
Covers basic issues in auditory perception and cognition with an emphasis on the perception of musical pitch, including sensory discrimination, categorical perception, roughness and dissonance, absolute pitch, and auditory streaming. Other topics to be covered include the processing of language and music, and emotional responses to music. A grade of C- or better must be earned in both Music 227 and 228 to satisfy the LS requirement.
A grade of C- or better must be earned in both MUSC 227 & 228 to satisfy the LS requirement.
Requires concurrent registration in MUSC 228.
Waitlist Information: If you have already registered for MUSC 227 and MUSC 228, but would like to waitlist for a second MUSC 228 lab section, you will need to remove the lecture section by clicking the Minus Sign icon next to MUSC 227, prior to completing the waitlist process. If you are offered a seat in the lab, you will be able to register for the lecture at the same time.
- Spring 2025
- LS, Science with Lab QRE, Quantitative Reasoning
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Student has completed any of the following course(s): One MUSC 100, 200 or 300 Level Course not including Lesson or Ensemble courses OR one PSYC 100, 200, 300 Level Course with a grade of C- or better.
- MUSC 228: Perception and Cognition of Music Lab
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MUSC 227.00 Spring 2025
- Faculty:Justin London 🏫 👤
- Size:30
- M, WWeitz Center 230 9:50am-11:00am
- FWeitz Center 230 9:40am-10:40am
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A grade of C- or better must be earned in both MUSC 227 & 228 to staisfy the LS requirement.
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PSYC 216 Behavioral Neuroscience 6 credits
An introduction to the physiological bases of complex behaviors in mammals, with an emphasis on neural and hormonal mechanisms. Psychology 216 does not require concurrent registration in Psychology 217, however, a grade of C- or better must be earned in both Psychology 216 and 217 to satisfy the LS requirement. Expected preparation: Psychology 110 or instructor permission.
- Spring 2025
- LS, Science with Lab
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PSYC 216.00 Spring 2025
- Faculty:Lawrence Wichlinski 🏫 👤
- Size:32
- M, WBoliou 104 11:10am-12:20pm
- FBoliou 104 12:00pm-1:00pm
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PSYC 220 Sensation and Perception 6 credits
We will address the question of how humans acquire information from the world to support action, learning, belief, choice, and the host of additional mental states that comprise the subject matter of psychology. In other words “How do we get the outside inside?” We will initially consider peripheral anatomical structures (e.g., the eye) and proceed through intermediate levels of sensory coding and transmission to cover the brain regions associated with each of the major senses. Readings will include primary sources and a text. In addition to exams and papers, students will conduct an investigation into an area of personal interest. A grade of C- or better must be earned in both Psychology 220 and 221 to satisfy the LS requirement.
- Spring 2025
- LS, Science with Lab
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Student has completed any of the following course(s): PSYC 110 with a grade of C- or better or received a score of 4 or better on the Psychology AP exam or received a score of 6 or better on the Psychology IB exam.
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PSYC 220.00 Spring 2025
- Faculty:Julia Strand 🏫 👤
- Size:32
- M, WAnderson Hall 329 9:50am-11:00am
- FAnderson Hall 329 9:40am-10:40am
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8 spots held for Sophomores (SO04, SO05, SO06) that will expire after the registration appointment times for these students have passed.