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Computer Science 383 Spring 2015

Posted by David Wagner on November 05, 2014
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Computer Science 383: Multi-agent and Robotic Systems will be offered in the spring semester on Monday, Wednesday, Friday at 1:30 PM with a weekly lab session on Tuesday at 2:30 PM.

A study of autonomous software agent and robotic systems and the principles, design, and implementation underlying such systems. Students explore how to design societies of agents and robots and how to monitor and control their operation. Unique challenges in this field and the wide range of existing solutions are examined. Topics include communication, coordination, and cooperation of software agents and robots from a variety of perspectives that include cognitive science, decision-theory, game-theory, machine learning, and software-engineering. Students are required to develop and evaluate several real multi-agent or multi-robot systems. One laboratory per week. Prerequisite: Computer Science 111.

Computer Science 250 Spring 2015

Posted by David Wagner on November 05, 2014
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Computer Science 250: Analysis of Algorithms will be offered in the spring semester on Tuesday and Thursday at 9:30 AM with a weekly lab session on Wednesday at 2:30 PM.

A treatment of selected topics from the analysis of algorithms including models of computation, design of efficient algorithms, computational complexity, and NP-completeness. Students develop expertise in mathematical analysis and algorithmic programming methodology. One laboratory per week. Prerequisites: Computer Science 112 and Mathematics 205.

Computer Science 112 Spring 2015

Posted by David Wagner on November 05, 2014
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Computer Science 112: Introduction to Computer Science II will be offered in the spring semester with two sections. One will meet on Monday, Wednesday, Friday at 9:00 AM with a weekly lab session on Monday at 2:30 PM. The other will meet on Monday, Wednesday, Friday at 11:00 AM with a weekly lab session on Thursday at 2:30 PM.

A continuation of Computer Science 111 with an emphasis on data structures, data abstraction, algorithm design, the analytical and experimental evaluation of algorithm performance, and object-oriented design and implementation techniques. Topics include stacks, queues, deques, lists, strings, trees and graphs, dictionaries, recursion, searching and sorting algorithms, and an introduction to program verification. May serve as the laboratory course in the Natural Science Division’s distribution requirement. One laboratory per week. Prerequisite: Computer Science 111 or permission of the instructor.

cs112s2015

Computer Science 111 Spring 2015

Posted by David Wagner on November 04, 2014
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Computer Science 111: Introduction to Computer Science I will be offered in the spring semester on Monday, Wednesday at 11:00 AM with recitation sessions either Friday at 11:00 AM or Thursday at 1:30 PM. A weekly lab session meets Thursday at 2:30 PM.

An introduction to the principles of computer science with an emphasis on algorithmic problem solving and the realization of algorithms using a modern object-oriented programming language. Topics include algorithms, problem solving, programming, classes, primitive data types and objects, control structures, arrays and vectors, principles of object-oriented design and programming, and an introduction to graphics and graphical user interfaces. The course also includes an overview of the discipline of computer science and a study of the social implications of computer use. May serve as the laboratory course in the Natural Science Division’s distribution requirement. One laboratory per week. Prerequisite: Knowledge of elementary algebra.

Women in Science Presents Kimberly Madia

Posted by admin on October 30, 2014
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On November 3rd Women in Science is hosting a Computer Science Allegheny Alumna, Kimberly Madia, from IBM. Her hour-long presentation, titled “It’s Time for Action – From Big Data Management to Real-Time Insights”, will start at 4:30pm in Carr 239.

The event is open to all of the Allegheny Community.

Due to limited space, please RSVP for this event by completing the survey here.

The event will begin at the Department of Computer Science coffee and tea session from 2:30pm – 3pm in Alden Hall. A round-table discussion will follow from 3:15pm – 4pm in Carr Hall room 239. The event will conclude with the presentation by Kimberly Madia from 4:30pm – 5:30pm in Carr Hall room 239.


It’s Time for Action – From Big Data Management to Real-Time Insights

In a hyper-connected world, business models are under constant pressure, customers are even more demanding and connected, and competitive advantage increasingly comes from great relationships. Staying relevant across every channel and looking for innovative solutions to streamline operations depends upon one thing – deriving deeper insights from new sources of big data. Learn how to turn big data to create entirely new value, maintain relevance, and garner greater operational efficiency for game changing results. Understand technology available to help act on strategic insights quickly, simply, and confidently.

Download the flyer here.