Requirements: Program in Computing
Interdisciplinary
The Concentration in Computing integrates the study of computer science with computational strategies to engage with complex questions in the natural sciences, arts and humanities and social sciences.
If you like crossing disciplines to make new and insightful connections, consider a Concentration in Computing at Kenyon, which integrates the study of computer science with computational strategies to engage with complex questions in the natural sciences, arts and humanities and social sciences.
The Kenyon College faculty voted to change from Kenyon units to semester hours. This change will go into effect for all students who start at the College in the fall of 2024. Both systems will be used throughout the course catalog with the Kenyon units being listed first.
The Curriculum
The concentration in computing requires a total of 24 semester hours of Kenyon coursework.
COMP 118 (Introduction to Programming) serves as a foundation course for the program, introducing students to programming and other essential ideas of computer science. Students who already have substantial programming experience before coming to Kenyon should consult the program chair for an appropriate alternative.
Contributory courses are offered in studio arts, biology, chemistry, economics, environmental studies, the integrated program in humanities, mathematics and statistics, political science, physics, and psychology. In these courses, computational methods form an essential means for investigating problems of various kinds.
Students in the concentration also take at least one intermediate program in computing course. The main focus of these courses is computational methods, which are developed or investigated extensively.
In addition to regular courses that are identified as contributory or intermediate, particular special-topics courses or individual studies in various departments may qualify in one of these two categories. Students who wish to credit such a course toward the concentration in program in computing should contact the program director at the earliest possible date.
The capstone course of the program is COMP 401 (Computing Seminar), a project-oriented, seminar-style course for advanced students.
Requirements for the Concentration
Required Courses
COMP 118: Introduction to Programming or PHYS 270: Introduction to Computational Physics
COMP 401: Computing Seminar
Contributory Courses
ARTS 109: Creative Coding
BIOL 109Y–110Y: Introduction to Experimental Biology
BIOL 328: Global Ecology and Biogeography
CHEM 126: Introductory Chemistry Laboratory II
CHEM 336: Quantum Chemistry
CHEM 341: Instrumental Analysis
CHEM 370: Advanced Lab: Computational Chemistry
CHEM 374: Advanced Lab: Spectroscopy
ECON 205: Introduction to Econometrics
ECON 337: Portfolio Allocation and Asset Pricing
ENVS 261: Geographic Information Science
IPHS 200: Programming Humanity
IPHS 300: AI for the Humanities
IPHS 391: Interdisciplinary AI Frontiers
PHYS 103: Creating with Gadgets
PHYS 146: Introduction to Experimental Physics
PHYS 241: Fields and Spacetime Laboratory
PHYS 345: Astrophysics and Particles
PHYS 380: Introduction to Electronics
PHYS 381, 382: Projects in Electronics 1, 2
PHYS 385, 386, 387: Advanced Experimental Physics 1, 2, 3
PSCI 280: Political Analysis
PSYC 410: Research Methods in Human Neuroscience
STAT 106: Elements of Statistics
STAT 116: Statistics in Sports
STAT 206: Data Analysis
STAT 216: Nonparametric Statistics
Intermediate Courses
BIOL 230: Computational Genomics
COMP 218: Data Structures and Program Design
COMP 318: Software Development
COMP 348: Software System Design
COMP 493: Individual Study
MATH 258: Mathematical Biology
MATH 291: Special Topic: Computational Neuroscience (spring 2021)
MATH 328: Coding Theory and Cryptography
MATH 347: Mathematical Models
MATH 368: Design and Analysis of Algorithms
STAT 226: Statistical Computing with R
STAT 416: Linear Regression Models