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COMS W1005: Introduction to computer science and programming in MATLAB
3.00 Credits
Columbia University in the City of New York
Prerequisites: None Corequisites: None A general introduction to computer science concepts, algorithmic problem-solving capabilities, and programming skills in MATLAB. Assumes no prior programming background. Columbia University students may receive credit for only one of the following three courses: 1003, 1004, and 1005.
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COMS W1007: Honors introduction to computer science
3.00 Credits
Columbia University in the City of New York
Prerequisites: AP Computer Science with a grade of 4 or 5 or similar experience. An honors-level introduction to computer science, intended primarily for students considering a major in computer science. Computer science as a science of abstraction. Creating models for reasoning about and solving problems. The basic elements of computers and computer programs. Implementing abstractions using data structures and algorithms. Taught in java.
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COMS W1007 - Honors introduction to computer science
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COMS W3101: Programming languages
1.00 Credits
Columbia University in the City of New York
Prerequisites: Fluency in at least one programming language. Introduction to a programming language. Each section is devoted to a specific language. Intended only for those who are already fluent in at least one programming language. Sections may meet for one hour per week for the whole term, for three hours per week for the first third of the term, or for two hours per week for the first six weeks. May be repeated for credit if different languages are involved.
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COMS W3101 - Programming languages
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COMS W3134: Data structures in Java
3.00 Credits
Columbia University in the City of New York
No course description available.
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COMS W3134 - Data structures in Java
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COMS W3137: Honors data structures and algorithms
4.00 Credits
Columbia University in the City of New York
Prerequisites: COMS W1007. Corequisites: COMS W3203. An honors introduction to data types and structures: arrays, stacks, singly and doubly linked lists, queues, trees, sets, and graphs. Programming techniques for processing such structures: sorting and searching, hashing, garbage collection. Storage management. Design and analysis of algorithms. Taught in Java. Note: Due to significant overlap, students may receive credit for only one of the following four courses: COMS W3133, W3134, W3137.
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COMS W3157: Advanced programming
4.00 Credits
Columbia University in the City of New York
Prerequisites: COMS W1007 Practical, hands-on introduction to programming techniques and tools for professional software construction, including learning how to write code to given specifications as well as document the results. Provides introductory overview of C and C++ in a UNIX environment, for students with Java background. Also introduces scripting languages (perl) and basic web programming. UNIX programming utilities are also covered. Lab Required.
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COMS W3203: Discrete mathematics: introduction to combinatorics and graph theory
3.00 Credits
Columbia University in the City of New York
Prerequisites: Any introductory course in computer programming. Logic and formal proofs, sequences and summation, mathematical induction, binomial coefficients, elements of finite probability, recurrence relations, equivalence relations and partial orderings, and topics in graph theory (including isomorphism, traversability, planarity, and colorings).
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COMS W3203 - Discrete mathematics: introduction to combinatorics and graph theory
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COMS W3210: Scientific computation
3.00 Credits
Columbia University in the City of New York
Prerequisites: Two terms of calculus. Introduction to computation on digital computers. Design and analysis of numerical algorithms. Numerical solution of equations, integration, recurrences, chaos, differential equations. Introduction to Monte Carlo methods. Properties of floating point arithmetic. Applications to weather prediction, computational finance, computational science, and computational engineering.
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COMS W3251: Computational linear algebra
3.00 Credits
Columbia University in the City of New York
Prerequisites: two terms of calculus. Computational linear algebra, solution of linear systems, sparse linear systems, least squares, eigenvalue problems, and numerical solution of other multivariate problems as time permits.
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COMS W3251 - Computational linear algebra
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COMS W3261: Computer science theory
3.00 Credits
Columbia University in the City of New York
Prerequisites: COMS W3203 Corequisites: COMS W3137 Regular languages: deterministic and non-deterministic finite automata, regular expressions. Context-free languages: context-free grammars, push-down automata. Turing machines, the Chomsky hierarchy, and the Church-Turing thesis. Introduction to Complexity Theory and NP-Completeness.
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COMS W3261 - Computer science theory
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