2017-2018 Catalog [ARCHIVED PUBLICATION] Use the dropdown above to select the current catalog.
Computer Science and Mathematics Courses
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Interdisciplinary Programs
Computer Science and Mathematics
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CSMT183 HM - Computer Science and Mathematics Clinic I
Credit(s): 3
Staff. Team project in joint computer science and mathematics, with corporate affiliation. CSMT183 HM and CSMT184 HM must be taken consecutively to count toward the major. (Fall)
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CSMT184 HM - Computer Science and Mathematics Clinic II
Credit(s): 3
Staff. Team project in joint computer science and mathematics, with corporate affiliation. CSMT183 HM and CSMT184 HM must be taken consecutively to count toward the major. (Spring)
Prerequisite(s): CSMT183 HM
Integrative Experience
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IE142 HM - Seminar in Mathematics and Science Education
Credit(s): 3
Levy and Yong (Mathematics), Dodds (Computer Science). Students will learn about and contribute to math and science education in our community. Over the course of the semester, students observe math and science classrooms and reach out to integrate with our readings and discussions, which will be centered around questions such as: “What is effective math and science teaching?” “What is effective math and science education?” “How does math and science education impact our society?” (Fall or Spring)
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IE144 HM - Mathematics, Music, Art: Cosmic Harmony
Credit(s): 3
Orrison (Mathematics), Alves (Humanities, Social Sciences, and the Arts). A seminar exploring some of the many intersections between mathematics and music within our own and non-Western cultures, including proportion in art, tuning systems, algorithmic composition, artificial intelligence and creativity and music synthesis. The class will also examine the ethical, aesthetic and cultural ramifications of compression technology, sampling, downloading and the effects of technology on music and vice versa. (Fall or Spring)
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IE179 HM - Special Topics in Integrative Studies
Credit(s): 3
Staff. Course will consider issues of current importance to society.
Leadership Studies
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LEAD101 HM - Fundamentals of Leadership
Credit(s): 3
Zorman. Successful leaders must know how to lead themselves, how to lead others, and how to lead their cause. Many diverse competencies are required to be successful in those three dimensions of leadership. This course will introduce those competencies in theory and offer plenty of opportunities to practice them. Taught through some lecture but mainly through experiential learning, group discussions, self-reflection, and enthusiastic practice in real life. This course requires students to be willing to step out of their comfort zone, to take risks and participate actively in service of personal and group learning. No pass/fail grading (i.e., no pass/no-credit, credit/no-credit, etc.)
Prerequisite(s): Junior or Senior standing
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LEAD151 HM - Interpersonal Dynamics
Credit(s): 3
Zorman. This course is designed to help students explore and understand their impact on others as well as other people’s impact on them. Students will experience in a small and intimate training group (max. 12) how changing their behavior is changing their impact on others. As a result students will learn how to authentically engage, have their intended impact, and create more productive and trusted relationships. Participation at the weekend retreat late in the semester is required to pass this course. No pass-fail grading.
Prerequisite(s): Instructor permission and interview required
Mathematical and Computational Biology
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MCBI117 HM - Game Theory and the Evolution of Cooperation
Credit(s): 3
Donaldson-Matasci (Biology). An introduction to game theory, a branch of mathematics that studies strategic interactions between individuals, with applications in fields such as biology, economics and political science. The course will introduce classical game theory, representations of games and Nash equilibria. The second part of the course will focus on evolutionary game theory, equilibrium concepts, and the evolution of cooperation. (Fall)
Prerequisite(s): MATH035 HM or AP Statistics
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MCBI118A HM - Introduction to Mathematical Biology
Credit(s): 1.5
Adolph (Biology), de Pillis (Mathematics), Jacobsen (Mathematics), Levy (Mathematics). An introduction to the field of mathematical biology. Continuous and discrete mathematical models of biological processes and their analytical and computational solutions. Examples may include models in epidemiology, ecology, cancer biology, systems biology, molecular evolution, and phylogenetics. (Spring)
Prerequisite(s): MATH065 HM and BIOL052 HM
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MCBI118B HM - Introduction to Computational Biology
Credit(s): 1.5
Bush (Biology), Donaldson-Matasci (Biology), Libeskind-Hadas (Computer Science), Wu (Computer Science). An introduction to the field of computational biology. Algorithms for phylogenetic inference and computational methods for solving problems in molecular evolution and population genetics. (Spring)
Prerequisite(s): (CSCI005 HM or CSCI005GR HM ) and BIOL052 HM
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MCBI199 HM - Joint Colloquium For the Mathematical and Computational Biology Major
Credit(s): 0.5
Staff. Students registered for joint colloquium must attend a fixed number of colloquium talks during the semester in any field(s) related to their interests. The talks may be at any members of The Claremont Colleges or a nearby university and may be in any of a wide array of fields including biology, mathematics, computer science and other science and engineering disciplines including bioengineering, cognitive science, neuroscience, biophysics, and linguistics. Students enrolled in the joint colloquium are required to submit a short synopsis of each talk that they attend. No more than 2.0 credits can be earned for departmental seminars/colloquia. Pass/No Credit grading. (Fall and Spring)
Science, Technology, and Society
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STS190 HM - Senior Seminar: Science, Technology, and Society
Credit(s): 3
Staff. Students read and discuss seminal and provocative works in STS. Each student conducts an independent project in an area of interest and competence. Open to seniors majoring in STS. Students with advanced preparation in STS may also enroll with instructor permission.
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