Computer science is a mathematics-based discipline that analyzes how abstract computational processes can solve problems, and then develops algorithms—precise procedures for computing a result or achieving a goal—as computer programs to address them.
Computer Science
Life After Lawrence
Lawrentians can enjoy careers in...
Software engineering, web development, actuarial science, programming, Silicon Valley, game development, banking, entrepreneurship
Recent employers include...
Apple, Facebook, Google, LinkedIn, Microsoft, Nintendo, Pixar, Epic Systems, CISCO Systems, IBM, Northwestern Mutual, Austrian Research Institute for Artificial Intelligence
Lawrentians can earn advanced degrees in...
Computer science, business (MBA), mathematics
Recent schools include...
Chicago, Columbia (NY), Georgia Tech, Marquette, NC State, Oregon State, Rensselaer Polytechnic Institute, U of Michigan School of Information
Learn and adapt quickly in a rapidly-changing field.
Learn and adapt quickly in a rapidly-changing field.
Depth and breadth of coursework (e.g., encryption, AI, WWII codebreaking) will help you learn and adapt quickly in a rapidly-changing field. Independent study allows you to go even more deeply into your interests.
Compete—and win—in the annual Association for Machine Learning regional competition
Compete—and win—in the annual Association for Machine Learning regional competition
Compete—and win—in the annual Association for Machine Learning regional competition, where Lawrentians routinely outperform students from institutions much larger than ours.
Excel in the Berkeley and Princeton Hackathons
Excel in the Berkeley and Princeton Hackathons
Lawrentians have placed well—and even have received subsequent funding—in these high-level competitions.
Components of the Major
- Introduction to Computer Science
Intermediate Programming Concepts
Introduction to Data Structures
Programming Languages
Data Structures and Algorithm Analysis
Theory of Computation
Calculus I, II, and III
Applied Combinatorics
Theory of Computation
Calculus I, II, and III
Applied Combinatorics
- Foundations of Algebra
One each: upper-level math and upper-level computer science course
Complete an independent study project
Computer Science Senior Seminar
Course descriptions and more courses.
The Chandler Senior Experience
Each computer science senior completes an independent project they present to fellow seniors and professors during the Computer Science Senior Seminar.
Recent Senior Experience projects include:
Ensemble Machine Learning for Student Retention Prediction
AIRS: Anytime Iterative Refinement of a Solution
An Automated Travel Scheduler
Applications of Linear Regression in Exploratory Data Analysis
Iterative Statistical Verification of Probabilistic Plans
Machine Learning and Language Translation with Neural Networks
Pricing of Data in an Online Environment
Faculty
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Joseph N. GreggAssociate Professor of MathematicsCampus Phone: 920-832-6736Email: joseph.n.gregg@lawrence.eduEducation: Texas A&M University, B.S., M.S.; Princeton University, Ph.D.Interests: architecture of large software systems, software for math education, complex systemsCampus Address: Briggs Hall Room 413 MathematicsYears at Lawrence: 1991-
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Kurt Krebsbach
Associate Professor of Computer ScienceCampus Phone: 920-832-6573Email: kurt.krebsbach@lawrence.eduEducation: Lawrence University, B.A.; University of Minnesota, M.S., Ph.D.Interests: artificial intelligence, automated planning, multi-agent systems, functional programming, music, zymurgyCampus Address: Briggs Hall Room 407 MathematicsYears at Lawrence: 2002-