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courses of instruction - Lafayette College

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COMPUTER SCIENCE<br />

guages and operating systems in labora<br />

tory sections. Students have opportunities<br />

for team projects as well as independent<br />

study and research.<br />

<strong>Lafayette</strong>'s fiber-optic networked cam<br />

pus provides computing resources to sup<br />

port course work, research, and personal<br />

projects. Many students gain additional<br />

experience by working part-time for the<br />

Computing Services and Support depart<br />

ment.<br />

Requirements for the major: Require<br />

ments for the Bachelor <strong>of</strong> Science degree<br />

in Computer Science are 32 <strong>courses</strong>, dis<br />

tributed as follows: Computer Science 102,<br />

103, 202, 203, 204, 205, 301, 302, 303, 305,<br />

470 or 495, and two additional 400-level<br />

<strong>courses</strong>; Mathematics 146,161,162,186,<br />

263, 282; Philosophy 103; a Values and Sci<br />

ence/Technology seminar from a list <strong>of</strong><br />

<strong>courses</strong> approved by the department that<br />

covers the social and ethical implications<br />

<strong>of</strong> computing; First-Year Seminar; <strong>College</strong><br />

Writing; and in addition two enhanced-<br />

writing <strong>courses</strong>; Physics 111-112,121-122<br />

or 131-132, and one other laboratory<br />

course in the natural sciences; four addi<br />

tional Humanities/Social Science <strong>courses</strong><br />

(at least one <strong>of</strong> each); two free electives.<br />

Requirements for the Bachelor <strong>of</strong> Arts<br />

degree in Computer Science are 32 cours<br />

es, which must include the following:<br />

Computer Science 102,103, 202,203, 205;<br />

three additional computer science <strong>courses</strong><br />

at the 300 or 400 level; Mathematics 161 or<br />

125,146,186; Philosophy 103; a coherent,<br />

pre-approved (by the department) cluster<br />

<strong>of</strong> five or six <strong>courses</strong> outside <strong>of</strong> computer<br />

science (this requirement is waived for<br />

double majors); the Common Course <strong>of</strong><br />

Study.<br />

Requirements for the minor: Computer<br />

Science 102,103, and four <strong>courses</strong> at the<br />

200 level or above.<br />

100. Introduction to Computing. The<br />

computer is the most versatile tool ever<br />

invented. In this course, students learn<br />

how to work with computers and how<br />

computers affect lives. Lecture/laboratory.<br />

(This course does NOT satisfy any re<br />

76<br />

quirement <strong>of</strong> the Common Course <strong>of</strong><br />

Study.) Staff<br />

102. Principles <strong>of</strong> Computer Science I.<br />

A rigorous introduction to object-oriented<br />

design and implementation. Lecture/labo<br />

ratory. This course requires considerable<br />

analytical ability; it is not a course in com<br />

puter literacy or basic computer skills.<br />

Staff<br />

103. Principles <strong>of</strong> Computer Science II.<br />

Continuation, from Computer Science 102,<br />

<strong>of</strong> an object-oriented approach to the de<br />

sign and implementation <strong>of</strong> s<strong>of</strong>tware sys<br />

tems. Prerequisite: Computer Science 102.<br />

Lecture/laboratory. Mr. Collins<br />

202. Analysis <strong>of</strong> Algorithms. The design<br />

and analysis <strong>of</strong> algorithms and their com<br />

plexity. This course studies techniques for<br />

measuring algorithm complexity, funda<br />

mental algorithms and data structures, in<br />

tractable problems, and algorithm-design<br />

techniques. Prerequisites: Computer Sci<br />

ence 103 and Mathematics 146.<br />

Mr. Bjorling-Sachs<br />

203. Computer Organization. A study <strong>of</strong><br />

digital logic, computer components, inter<br />

nal and external memory, <strong>instruction</strong> sets,<br />

interrupts, micro- and macroprogramming.<br />

Prerequisite: Computer Science 103. Lec<br />

ture/laboratory. Mr. Schwar<br />

204. System S<strong>of</strong>tware. This course deals<br />

with system-s<strong>of</strong>tware topics such as run<br />

time organization, parameter passing,<br />

interrupt processing, exception handling,<br />

device drivers, assembly language, and<br />

high-level language interface. Prerequisite:<br />

Computer Science 203. Lecture/laboratory.<br />

Mr. Schwar<br />

205. S<strong>of</strong>tware Engineering. The analysis,<br />

design, implementation, and maintenance<br />

strategies appropriate for large s<strong>of</strong>tware<br />

projects. Prerequisite: Computer Science<br />

103. Lecture/laboratory. Permission <strong>of</strong> de<br />

partment head required. Mr. Liew<br />

301. Principles <strong>of</strong> Programming Lan<br />

guages. An introduction to the theory <strong>of</strong>

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