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Academic Catalog 2025-26

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Your search for courses · during 24FA · tagged with SDSC XDept Elective · returned 6 results

  • ARCN 246 Archaeological Methods & Lab 6 credits

    As a field that is truly interdisciplinary, archaeology uses a wide range of methods to study the past. This course provides a hands-on introduction to the entire archaeological process through classroom, field, and laboratory components. Students will participate in background research concerning local places of historical or archaeological interest; landscape surveying and mapping in GIS; excavation; the recording, analysis, and interpretation of artifacts; and the publication of results. This course involves real archaeological fieldwork, and students will have an opportunity to contribute to the history of the local community while learning archaeological methods applicable all over the world.

    Sophomore priority

    • Fall 2024
    • LS, Science with Lab QRE, Quantitative Reasoning
    • ACE Applied ARCN Pertinent CL: 200 level DGAH Skill Building MARS Core Course MARS Supporting SDSC XDept Elective SOAN Elective Eligible
    • ARCN  246.01 Fall 2024

    • Faculty: Sarah Kennedy 🏫 👤
    • Size:12
    • TAnderson Hall 121 10:10am-11:55am
    • TAnderson Hall 121 1:00pm-5:00pm
    • TAnderson Hall 122 10:10am-11:55am
    • TAnderson Hall 122 1:00pm-5:00pm
    • THAnderson Hall 121 1:15pm-3:00pm
    • THAnderson Hall 122 1:15pm-3:00pm
    • ARCN  246.02 Fall 2024

    • Faculty: Sarah Kennedy 🏫 👤
    • Size:12
    • TAnderson Hall 121 10:10am-11:55am
    • TAnderson Hall 122 10:10am-11:55am
    • THAnderson Hall 121 8:00am-12:00pm
    • THAnderson Hall 121 1:15pm-3:00pm
    • THAnderson Hall 122 8:00am-12:00pm
    • THAnderson Hall 122 1:15pm-3:00pm
  • BIOL 338 Genomics and Bioinformatics 6 credits

    The advent of next-generation sequencing technology has revolutionized biology, enabling transformative breakthroughs in fields ranging from agriculture to conservation to medicine. In this course, students will gain experience with the computational and bioinformatics tools needed to analyze “big data,” including sequence searching and alignment, assembly, gene calling and annotation. Students will learn to ask and answer their own scientific questions using sequence data, and to critically assess the conclusions of other genomics and bioinformatics studies. No prior computer programming experience is required. Associated laboratory will focus on wet lab methods for DNA/RNA extraction and preparation as well as computational analysis.

    Requires concurrent registration in Biology 339.

    Waitlist Information: If you have already registered for BIOL 338 and BIOL 339, but would like to waitlist for a second BIOL 339 lab section, you will need to remove the lecture section by clicking the Minus Sign icon next to BIOL 338, 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.

    • Fall 2024
    • LS, Science with Lab QRE, Quantitative Reasoning
    • Student has completed any of the following course(s): BIOL 125 with a grade of C- or better or received a score of 5 or better on the Biology AP exam or received a score of 6 or better on the Biology IB exam or received a Carleton Biology 125 Requisite Equivalency or completed Biology A Level Test 1 with a grade of B or better AND BIOL 126 with a grade of C- or better or received a Carleton Biology 126 Requisite Equivalency or completed Biology A Level Test 2 with a grade of B or better AND either BIOL 240 or BIOL 321 or BIOL 350 with a grade of C- or better.

    • BIOL 339: Genomics & Bioinformatics Lab
    • BIOL Ecology and Evolutionary BIOL Elective CL: 300 level PPOL Public Health SDSC XDept Elective PPOL Environmental Policy & Sustainability
    • BIOL  338.00 Fall 2024

    • Faculty: Rika Anderson 🏫 👤
    • Size:20
    • M, WHulings 316 9:50am-11:00am
    • FHulings 316 9:40am-10:40am
    • Requires concurrent registration in BIOL 339

  • ECON 285 Computational Economics 6 credits

    This course is an introduction to the use of computational methods for the analysis of economic models. After becoming familiar with the programming environment, we will explore the application of computational methods to constrained optimization, econometric estimation, and calibrating, solving, and simulating static and dynamic economic models.

    Previous elective courses involving mathematical modeling in economics recommended.

    • Fall 2024
    • QRE, Quantitative Reasoning SI, Social Inquiry
    • Student has completed any of the following course(s): ECON 110 with a grade of C- or better or received a grade of B or better in ECON AL (Cambridge A Level Economics) or received a score of 5 on the Macroeconomics AP exam or received an ECON 110 requisite equivalency AND ECON 111 with a grade of C- or better or received a grade of B or better in ECON AL (Cambridge A Level Economics) or received a score of 5 on the Microeconomics AP exam or received ECON 111 requisite equivalency OR has received a score of 6 or better on the Economics IB exam.

    • CL: 200 level CS Major Electives ECON Elective SDSC XDept Elective
    • ECON  285.00 Fall 2024

    • Faculty: Anthony Priolo 🏫
    • Size:25
    • M, WWillis 203 12:30pm-1:40pm
    • FWillis 203 1:10pm-2:10pm
  • ECON 329 Econometrics 6 credits

    This course is an introduction to the statistical methods used by economists to test hypotheses and to study and quantify economic relationships. The course emphasizes both econometric theory and practical application through analysis of economic data sets using statistical software. Prior experience with R is strongly encouraged. Topics include two-variable and multiple regression, interval estimation and hypothesis testing, discrete and continuous structural change, parameter restrictions, model construction, experimental design, issues of functional specification, model overfitting and underfitting, heteroscedasticity, autocorrelation, and multicollinearity.

    • Fall 2024
    • QRE, Quantitative Reasoning SI, Social Inquiry
    • Student must have completed any of the following course(s): ECON 110 with a grade of C- or better or received a grade of B or better in ECON AL (Cambridge A Level Economics) or received a score of 5 or better on the Macroeconomics AP exam or received an ECON 110 requisite equivalency AND ECON 111 with a grade of C- or better or received a grade of B or better in ECON AL (Cambridge A Level Economics) or received a score of 5 or better on the Microeconomics AP exam or received an ECON 111 requisite equivalency or received a score of 6 or better on the Economics IB exam AND MATH 101 or MATH 111 or greater with a grade of C- or better or received a a score of 4 or better on the Calculus AB AP exam or received a score of 4 or better on the Calculus BC AP exam or received a score of 6 or better on the Mathematics IB exam or received a Carleton Math 111 or better Requisite Equivalency AND either STAT 120 or STAT 250 with a grade of C- or better or received a score of 4 or better on the Statistics AP exam or equivalents.

    • CL: 300 level SDSC XDept Elective
    • ECON  329.00 Fall 2024

    • Faculty: Mark Kanazawa 🏫 👤
    • Size:25
    • T, THWillis 203 1:15pm-3:00pm
  • HIST 231 Mapping the World Before Mercator 6 credits

    This course will explore early maps primarily in medieval and early modern Europe. After an introduction to the rhetoric of maps and world cartography, we will examine the functions and forms of medieval European and Islamic maps and then look closely at the continuities and transformations in map-making during the period of European exploration. The focus of the course will be on understanding each map within its own cultural context and how maps can be used to answer historical questions. We will work closely with the maps in Gould Library Special Collections to expand campus awareness of the collection.

    Extra time is required for a one-time map show in the library which we will schedule at the beginning of term.

    • Fall 2024
    • HI, Humanistic Inquiry IS, International Studies QRE, Quantitative Reasoning WR2, Writing Rich 2
    • ACE Applied CL: 200 level HIST Ancient & Medieval HIST Pre-Modern MARS Core Course MARS Supporting SDSC XDept Elective DGAH Cross Disciplinary Collaboration EUST Transnational Support HIST Early Modern/Modern Europe DGAH Humanistic Inquiry
    • HIST  231.00 Fall 2024

    • Faculty: Victoria Morse 🏫 👤
    • Size:25
    • M, WLeighton 426 1:50pm-3:00pm
    • FLeighton 426 2:20pm-3:20pm
  • POSC 230 Methods of Political Research 6 credits

    An introduction to research method, research design, and the analysis of political data. The course is intended to introduce students to the fundamentals of scientific inquiry as they are employed in the discipline. The course will consider the philosophy of scientific research generally, the philosophy of social science research, theory building and theory testing, the components of applied (quantitative and qualitative) research across the major sub-fields of political science, and basic methodological tools. Intended for majors only.

    • Fall 2024
    • QRE, Quantitative Reasoning SI, Social Inquiry WR2, Writing Rich 2
    • Student has completed any of the following course(s): STAT 120 or STAT 230 or STAT 250 or PSYC 200 or SOAN 239 with a grade of C- or better or received a score of 4 or better on the Statistics AP exam.

    • ASST Methodology ASST Pertinent CL: 200 level SDSC XDept Elective
    • POSC  230.00 Fall 2024

    • Faculty: Greg Marfleet 🏫 👤
    • Size:18
    • T, THWeitz Center 235 8:15am-10:00am

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2025–26 Academic Catalog

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Registrar: Theresa Rodriguez
Email: registrar@carleton.edu
Phone: 507-222-4094
Academic Catalog 2025-26 pages maintained by Maria Reverman
This page was last updated on 7 May 2026
Carleton

One North College StNorthfield, MN 55057USA

507-222-4000

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