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  • Computer Science 101 /101L: Introduction to Computing I

    2.00 Credits
    Colgate University

    Staff This course is an introduction to computer science through the study of programming utilizing the programming language Python. Topics include program control, data structures, arrays, classes and objects, recursion, inheritance and polymorphism, data abstraction, and modular design. A weekly two-hour laboratory provides the opportunity to develop programming and design skills. The required credit-bearing laboratory COSC 101L must be taken concurrently with COSC 101. This course, or its equivalent, is a prerequisite to the computer science major. It is recommended also for students in other disciplines who desire a rigorous introduction to computers and programming.
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  • Computer Science 102 /102L: Introduction to Computing II

    2.00 Credits
    Colgate University

    Staff This course is a continuation of COSC 101 and is the first course in the major. It develops advanced programming topics such as abstract data types and algorithms and their analysis. Abstract data structures introduced include stacks, queues, lists, and binary trees; algorithms include search and sort procedures. The concepts of information hiding, data abstraction, and modular design are emphasized. Object-oriented programming is used throughout the course. Laboratories include the design and implementation of programs that illustrate the topics of the course. There are three lectures and a two-hour laboratory each week. The required credit-bearing laboratory COSC 102L must be taken concurrently with COSC 102. Prerequisite: COSC 101.
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  • Computer Science 121: Introduction to Biology-Inspired Algorithms

    3.00 Credits
    Colgate University

    Staff This course is an introduction to computer methods, cellular automata, genetic algorithms, and neural networks, inspired by biological processes. Cellular automata are used to simulate population growth as well as other physical phenomena such as fluid flow. Genetic algorithms are used to find optimal solutions, for example in portfolio maximization, using Darwinism. Neural networks are used in learned pattern matching, such as in handwriting recognition and portfolio analysis. A number of variations of these methods are covered. Students use existing tools to explore models simulated or solved using these methods. No programming experience is necessary; however, students are expected to be proficient in using a word processor and web browser. The course does not count toward the major.
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  • Computer Science 122 /122L: Introduction to Computer Graphics and Animation

    2.00 Credits
    Colgate University

    C. Nevison This course provides an introduction to the fundamentals of computer graphics, animation, and algorithms that are the basis for image processing. The course also introduces a programming system that provides an object-oriented approach with tools for animations of three-dimensional graphics. The course includes a weekly two-hour laboratory where students gain practice in testing and implementing the concepts introduced in class. No prior programming experience is required. The required credit-bearing laboratory COSC 122L must be taken concurrently with COSC 122. The course does not count toward the major.
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  • Computer Science 123 /123L: Introduction to Robotics

    3.00 Credits
    Colgate University

    Staff In the future, robots may perform tasks considered too dull, dirty, or dangerous for humans. They could entertain us, clean our houses, mow our lawns, build our cars, fight our wars, perform surgery on our hearts and brains, and explore distant planets and the deepest oceans. Who knows what else This course introduces the fundamental concepts of robotics. Topics include locomotion, sensing, perception, and control. Students construct and program robots in weekly laboratory sessions. The required course-bearing laboratory COSC 123L must be taken concurrently with COSC 123. No computer experience is required. The course does not count toward the major.
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  • Computer Science 130: Measuring the Internet

    3.00 Credits
    Colgate University

    J. Sommers This course introduces students to the principles and algorithms used in the everyday operation of the internet, as well as concepts and practical problems in network and system security. Students also examine the ethical, social, and political aspects of the technical topics raised in class. To make concepts concrete, students engage in collecting and analyzing data measured from internet paths and systems, and examine how these concepts relate to contemporary experience. No prior programming experience is necessary. This course does not count toward the major. Not open to students who completed Core Scientific Perspectives, The Underside of the Internet.
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  • Computer Science 150: Contemporary Issues in Computer Science

    3.00 Credits
    Colgate University

    P. Mulry, V. Ramachandran This course provides an introduction to contemporary concepts, models, and issues in computer science. Topics introduced are chosen from the nature and limits of computation, algorithms and their applications, machine intelligence, logic and systems design, coding, cryptography, and others. The course relates these topics to contemporary experience by examining associated ethical, legal, social, and political issues such as privacy in the electronic age, software reliability, information access, technological overload, and electronic piracy. Class format includes lecture, working with and testing of concepts, and class discussion. Students use the Internet as a tool to complete a group research project. No computer experience is required. The course does not count toward the major. This course is crosslisted as CORE 142.
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  • Computer Science 201 /201L: Computer Organization

    2.00 Credits
    Colgate University

    C. Nevison, J. Spacco This course is a study of the fundamental concepts of computer architecture. Topics include the representation of information, components of the computer and how they interact, microarchitecture and microprogramming, conventional machine and assembly language, and advanced architectures. Several types of computer design are reviewed; a RISC architecture is the subject of detailed study. The laboratory is used to examine how different components of a computer's architecture can affect its performance. Three lectures and a two-hour laboratory each week. The required credit-bearing laboratory COSC 201L must be taken concurrently with COSC 201. Prerequisite: COSC 101. Offered in the fall only.
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  • Computer Science 202 /202L: Introduction to Symbolic Programming

    2.00 Credits
    Colgate University

    A.D. Nakhimovsky This course teaches symbolic computation in a functional programming environment, while providing a general introduction to programming languages and computer science. The emphasis is on alternative modes of algorithmic expression, program design, data abstraction, and skillful use of recursion. Topics include recursive and higher-order procedures, functional programming in contrast with imperative programming, performance analysis of algorithms, data abstraction and abstract data types (including infinite data types), data-directed and object-oriented programming, constraint propagation, and logic programming. Laboratory assignments build simple versions of well-known AI and simulation programs. There are three lectures and a two-hour lab each week. The required credit-bearing laboratory COSC 202L must be taken concurrently with COSC 202. Prerequisite: COSC 101. Offered in the spring only.
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  • Computer Science 290 /290L: Discrete Structures

    3.00 Credits
    Colgate University

    P. Mulry This course introduces concepts and methods in discrete structures with various applications to computer science. Topics include sets, logic, relations, functions, induction, and recursion; order relations and structures such as posets, lattices, and Boolean algebras; algebraic structures such as semigroups, monoids, products, and quotients; trees, languages, and finite-state machines. Methods are tested and implemented in a weekly laboratory component. The required credit-bearing laboratory COSC 290L must be taken concurrently with COSC 290. Prerequisite: COSC 101, MATH 111, or equivalent. Offered in the spring only.
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