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Course Criteria
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4.00 Credits
Lecture, 3 hours; laboratory, 3 hours. Prerequisite(s): CS 012 with a grade of "C-" or better or CS 013 with a grade of "C-" or better; proficiency in C++. Topics include basic data structures such as arrays, lists, stacks, and queues; dictionaries including binary search trees and hashing; priority queues (heaps); introductory analysis of algorithms; sorting algorithms; and object-oriented programming including abstract data types, inheritance, and polymorphism. Also covers solving complex problems through structured software development.
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4.00 Credits
Lecture, 3 hours; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 008 or CS 010. A comprehensive introduction to fundamental UNIX principles, architecture, and applications. Covers command-line utilities, piping, redirection, filters, basic shell scripting, file system architecture and permissions, and tools for software compilation, debugging, and version control. Topics are relevant to and enhance students' work in most lower- and upper-division Computer Science courses.
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4.00 Credits
Lecture, 3 hours; laboratory, 3 hours. Prerequisite(s): MATH 009C (may be taken concurrently); consent of instructor if credit has been awarded for CS 010. Examines fundamental programming concepts using the Matlab language, including problem decomposition, control structures, elementary data structures, file input/output, graphics, and code libraries. Focuses on applications problems in engineering and science, such as numerical equation solvers; matrix operations; searching and sorting; and data analysis. Emphasizes good programming style and computational efficiency.
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2.00 Credits
For hours and prerequisites, see segment descriptions. Hands-on, directed exposure to a specific programming language and associated development tools in a laboratory setting. Focus is on exercises and practical applications Graded Satisfactory (S) or No Credit (NC). Each segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Practical introduction to software development using C and C++ in a laboratory setting. Focus is on syntax, concepts, selections from the standard library, and development tool-chain use. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Exploration of selected advanced topics in C++ in a laboratory setting. Topics include advanced object-oriented techniques, standard template library, interface design, and advanced idiomatic development practices. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Practical introduction to software development using Java in a laboratory setting. Focus is on syntax, concepts, standard, selections from the standard library, and development tool-chain use. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Practical exploration of problem solving using Matlab in a laboratory setting. Focus is on syntax, concepts, and development tool-chain use. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Introduces hardware description languages (HDLs) used to design modern digital integrated circuits found in a wide variety of electronic devices. Topics include modeling of circuit structure, register transfers, high-level behavior and testbenches; HDL simulation models; use of synthesis tools; and tradeoffs among HDLs. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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2.00 Credits
Lecture, 1 hour; laboratory, 3 hours. Prerequisite(s): CS 005 or CS 010 or knowledge of programming or consent of instructor. Practical exploration of problem solving and software development using Perl in a laboratory setting. Focus is on syntax, concepts, and idiomatic use. Graded Satisfactory (S) or No Credit (NC). Segment is repeatable as topics change to a maximum of 12 units.
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