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Mathematics & Computer Science 314: Theoretical Foundations of Computer Science
3.00 Credits
Dickinson College
An introduction to the theory of computation. Topics include formal language theory (grammars, languages, and automata including Turing machines), and an introduction to the concept of undecidable problems, including the halting problem. Prerequisite: COMP 132 and MATH 211.
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Mathematics & Computer Science 314 - Theoretical Foundations of Computer Science
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Mathematics & Computer Science 325: Probability and Statistics II
3.00 Credits
Dickinson College
A continuation of Introduction to Probability and Statistics I. Includes such topics as analysis of variance, multiple and nonlinear regression, goodness of fit tests for categorical data, nonparametric methods, and statistical quality control. Prerequisites: 225 and 261. Offered in odd numbered spring semesters.
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Mathematics & Computer Science 325 - Probability and Statistics II
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Mathematics & Computer Science 331: Operations Research
3.00 Credits
Dickinson College
An introduction to deterministic operations research, including linear programming, sensitivity analysis, and duality. Special topics may include transportation and assignment problems, network models, integer programming, and game theory. Prerequisite: 262. Offered in odd numbered fall semesters.
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Mathematics & Computer Science 331 - Operations Research
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Mathematics & Computer Science 332: Analysis of Algorithms
3.00 Credits
Dickinson College
A study of algorithmic approaches to problem-solving and techniques for analyzing and comparing algorithms. Approaches such as divide-and-conquer, dynamic programming, and backtracking will be explored in conjunction with complex structures such as trees and graphs. Topics in computational complexity include asymptotic complexity measures, intractability, and NP-complete problems. Prerequisite: 232, MATH 211. Offered every fall. NOTE: Completion of both 251 and 332 fulfills the WR requirement.
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Mathematics & Computer Science 332 - Analysis of Algorithms
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Mathematics & Computer Science 351: Algebraic Structures
3.00 Credits
Dickinson College
An introduction to axiomatic formalism using algebraic structures as paradigms. Topics chosen from groups, rings, integral domains, fields and vector spaces. Prerequisite: 262. Offered every spring.
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Mathematics & Computer Science 351 - Algebraic Structures
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Mathematics & Computer Science 352: Computer Networks
3.00 Credits
Dickinson College
An examination of the hardware, software and protocols used in computer networks. Topics include layered architectures, client server computing, reliable and unreliable protocols, data encoding and compression, error detection and correction, routing, examination of the internet as an example and an introduction to network programming. Prerequisite: 232 and 251. Offered in odd numbered springs.
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Mathematics & Computer Science 352 - Computer Networks
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Mathematics & Computer Science 354: Operating Systems
3.00 Credits
Dickinson College
A study of the principles underlying the organization and implementation of computer operating systems. Topics include multiprogramming, time-sharing, mutual exclusion and synchronization, process scheduling, memory management, and file systems. Prerequisites: 232 and 251. Offered in even numbered springs.
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Mathematics & Computer Science 354 - Operating Systems
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Mathematics & Computer Science 356: Programming Language Structures
3.00 Credits
Dickinson College
An examination of the major programming language paradigms. The course also explores the basic properties and special facilities of languages representing each paradigm. Topics include data types, scope rules, block structures, procedure calls and parameter types, and storage allocation considerations. Prerequisite: 232. Offered every fall.
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Mathematics & Computer Science 356 - Programming Language Structures
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Mathematics & Computer Science 361: Analysis I
3.00 Credits
Dickinson College
A theoretical development of the basic ideas and concepts of real analysis. Topics include a study of real numbers, sequences, limits and continuity, differentiation and integration. Optional topics include infinite series, sequences and series of functions, and an introduction to point-set topology. Prerequisite: 261 and 262. Offered every fall.
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Mathematics & Computer Science 361 - Analysis I
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Mathematics & Computer Science 364: Artificial Intelligence
3.00 Credits
Dickinson College
A survey of techniques for applying computers to tasks usually considered to require human intelligence. Topics include knowledge representation and reasoning, search and constraint satisfaction, evolutionary and genetic algorithms, machine learning, neural networks, and philosophical questions. Prerequisites: 232 and MATH 211. Offered in even numbered falls.
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Mathematics & Computer Science 364 - Artificial Intelligence
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