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CS 303: Data Structures I- hrs
3.00 Credits
University of Portland
Continues the study of computer science and software engineering methodologies. Analysis of common data structures, time and space efficiency, stacks, queues, linked lists, trees, recursion, back-tracking, searching, and sorting algorithms. Study of the program language features required to support these data structures: dynamic memory management, inheritance, arrays. Object-oriented design and testing (C++ language). (Prerequisite: CS 203.)
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CS 304: Data Structures II- hrs
3.00 Credits
University of Portland
Advanced data structures, including trees, graphs, hash tables, heaps. Study of the program language features required to support these features: templates, inheritance, and exception handling (C++ language). (Prerequisite: CS 303.)
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CS 352: Programming Languages- hrs
3.00 Credits
University of Portland
Comparative analysis of several modern high level languages in terms of data types, control structure, and data control, with emphasis on runtime behavior of programs. (Prerequisite: CS 304.)
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CS 352 - Programming Languages- hrs
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CS 373: Data Structures Laboratory- hr
1.00 Credits
University of Portland
Weekly 3-hour laboratory to support CS 303. Using software tools and C language to support software development (UNIX operating system). (Prerequisite or corequisite: CS 303.)
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CS 373 - Data Structures Laboratory- hr
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CS 374: Computing Systems Laboratory- hr
1.00 Credits
University of Portland
Weekly 3-hour laboratory. Assembly language and systems programming. (Prerequisite: CS 303.)
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CS 374 - Computing Systems Laboratory- hr
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CS 382: Advanced Programming Techniques- hr
1.00 Credits
University of Portland
The course focuses on developing and practicing techniques for rapid programming in a small team environment: approaches to problem assessment, selection of data structures and algorithms, implementation, and testing. Students will hone their skills by working in small teams to produce correct solutions to a wide variety of computing problems under time constraints. (Prerequisite or corequisite: CS 303.)
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CS 382 - Advanced Programming Techniques- hr
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CS 400: Seminar- hrs
2.00 Credits
University of Portland
In-depth study of professional responsibility in the field of computer science. Students are expected to read journal papers, articles, and books, participate in class discussions, and give presentations. (Prerequisite: Upper-division standing.)
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CS 400 - Seminar- hrs
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CS 411: Analysis of Algorithms- hrs
3.00 Credits
University of Portland
Design, analysis and correctness proofs of important algorithms from areas such as combinatorics, seminumerical algorithms, data storage and retrieval, systems programming, and artificial intelligence. Includes a study of complexity theory. (Prerequisites: CS 304, MTH 311, and MTH 461.)
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CS 421: Artificial Intelligence- hrs
3.00 Credits
University of Portland
The history and applications of artificial intelligence. Inference, pattern recognition, knowledge representation, image understanding, search, language acquisition, learning. Course is taught in fall of odd-numbered years. (Prerequisite or corequisite: CS 304.)
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CS 431: Human- Computer Interaction- hrs
3.00 Credits
University of Portland
The theory, design, and usability testing of human-computer interaction techniques and strategies. Topics include user-centered design, learning styles, components of usability, the design of a usability test, and how interface development fits into the overall software lifecycle. Students design an interface, prototype it, and then design and run usability tests with their prototypes. Course is taught in fall of even-numbered years. (Prerequisite or corequisite: CS 304.)
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