2021-2022 Catalog [ARCHIVED PUBLICATION] Use the dropdown above to select the current catalog.
Computer Science and Mathematics Courses
|
|
Interdisciplinary Programs
Computer Science and Mathematics
-
CSMT181 HM - Special Topics in Computer Science and Mathematics
Credit(s): 1.5-3
Instructor(s): Staff
Description: A course devoted to exploring topics of current interest. Topics announced prior to registration.
-
CSMT183 HM - Computer Science and Mathematics Clinic I
Credit(s): 3
Instructor(s): Staff
Offered: Fall
Description: 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.
Prerequisite(s): Senior standing as a Joint CS/Math major, or permission of the Computer Science or Mathematics Clinic director.
-
CSMT184 HM - Computer Science and Mathematics Clinic II
Credit(s): 3
Instructor(s): Staff.
Offered: Spring
Description: 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.
Prerequisite(s): CSMT183 HM
Interdisciplinary
-
ID048 HM - Social Justice & Equity/STEM Educ
Credit(s): 1
Instructor(s): Yong
Description: Despite many efforts over the last few decades to broaden participation in STEM (science, technology, engineering, mathematics) fields, women, African-American, Hispanic and Latinx, Native American, and Southeast Asian individuals remain underrepresented in STEM fields in the United States. Why have we not made more significant progress and what will it take to do so? In this course, we will use critical theories (including critical race theory, feminism, Marxism, and others) to understand the entangled issues behind this and other persistent inequities. The purpose of this course is to help fulfill the HMC mission statement more completely by empowering students to be engaged, critical, and civic-minded participants who can positively impact society. This class will have a reasonable out-of-class homework requirement that will be commensurate with a one-unit course.
Leadership Studies
-
LEAD101 HM - Fundamentals of Leadership
Credit(s): 3
Instructor(s): Zorman
Description: 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
-
LEAD111 HM - Intersectionality of Leadership
Credit(s): 3
Instructor(s): Zorman
Description: In this experiential and student-driven course, students are asked to explore how intersectionality and social identities influence and shape leadership practices and leader identities. Students are not expected to be in an official leadership position and don’t need extensive leadership experience to benefit from this course. We define leadership as the capacity of influencing others to achieve a common goal. Students spend substantial time in small and intimate home-groups in which they are asked to engage authentically, take risks, and step out of their comfort zone with courage, compassion, and curiosity.
Prerequisite(s): Instructor permission required.
-
LEAD151 HM - Interpersonal Dynamics
Credit(s): 3
Instructor(s): Zorman
Description: 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
-
MCBI117 HM - Game Theory and the Evolution of Cooperation
Credit(s): 3
Instructor(s): Donaldson-Matasci (Biology)
Description: 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.
Prerequisite(s): Permission of instructor
-
MCBI118A HM - Introduction to Mathematical Biology
Credit(s): 1.5
Instructor(s): Adolph (Biology), de Pillis (Mathematics)
Offered: Spring
Description: 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.
Prerequisite(s): MATH073 HM , MATH082 HM , and BIOL052 HM
-
MCBI118B HM - Introduction to Computational Biology
Credit(s): 1.5
Instructor(s): Bush (Biology), Donaldson-Matasci (Biology), Wu (Computer Science)
Offered: Spring
Description: An introduction to the field of computational biology. Algorithms for phylogenetic inference and computational methods for solving problems in molecular evolution and population genetics.
Prerequisite(s): CSCI005 HM and BIOL052 HM
-
MCBI199 HM - Joint Colloquium for the Mathematical and Computational Biology Major
Credit(s): 0.5
Instructor(s): Staff
Offered: Fall and Spring
Description: 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.
Grading Type: Pass/No Credit
|
Print this Page