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Course Criteria
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3.00 Credits
Data warehousing involves data preprocessing, data integration, and providing on-line analytical processing (OLAP) tools for the interactive analysis of multidimensional data, which facilitates effective data mining. Data mining is the automated extraction of hidden predictive information from databases. Data mining applies concepts and techniques from the fields of databases, machine learning, algorithms, information retrieval, and statistics. Topics include: data warehousing, association analysis, classification, clustering, numeric prediction, and selected advanced data mining topics. Prerequisite: CSC 134 and STAT 50. Graded: Graded Student. Units: 3.0
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3.00 Credits
Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling uncertainty will also be discussed. Prerequisite: CSC 130, CSC 132, MATH 31, STAT 50 Graded: Graded Student. Units: 3.0
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2.00 Credits
First of a two-course sequence in which student teams undertake a project to develop and deliver a software product. Approved project sponsors must be from industry, government, a non-profit organization, or other area. Teams apply software engineering principles in the preparation of a software proposal, a project management plan and a software requirements specification. All technical work is published using guidelines modeled after IEEE documentation standards. Oral and written reports are required. Lecture one hour, laboratory three hours. Prerequisite: Senior status, completion of CSC 130, CSC 131 and four additional 3-unit CSC upper-division courses that fulfill the major requirements (excluding CSC 192-195, 198, 199), and (GWAR Certification before Fall 09, or WPJ score of 70+, or at least a C- in ENGL 109M/W). Graded: Graded Student. Units: 2.0
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2.00 Credits
Continuation of the group project begun in CSC 190. Teams apply software engineering principles to the design, implementation and testing of their software product. All technical work is published using guidelines modeled after IEEE documentation standards along with an appropriate user manual. Oral and written reports are required. Senior project is completed with the successful delivery, installation and demonstration of the software along with all approved documentation. Lecture one hour, laboratory three hours. Prerequisite: CSC 190. Graded: Graded Student. Units: 2.0
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1.00 Credits
Designed to help students learn more about the labor market and opportunities in the Computer Science field. Students will examine their interests, consider their goals, and learn how to conduct an effective proactive job search. Strategies for long term career growth will be identified. Prerequisite: CSC 130 and three additional upper-division courses that fulfill major requirements with a C- grade or better (excluding CSC 190-195, CSC 198, and CSC 199). Graded: Credit / No Credit. Units: 1.0
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1.00 Credits
Series of weekly seminars on Computer Science topics. These topics cover subjects not normally taught in the course of a school year and they range from the very theoretical in Computer Science through applications to presentations by industry on working conditions, real world environment and job opportunities. Note: May be repeated for credit. Prerequisite: Upper division or graduate status in CSC. Graded: Graded Student. Units: 1.0
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1.00 - 4.00 Credits
Directed observations and work experience in computer science with firms in the industry or public agencies. Supervision is provided by the instructional staff and the cooperating agencies. Note: Faculty approval required. May be repeated for credit. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 4.0.
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1.00 - 12.00 Credits
Supervised employment in a professional engineering or computer science environment. Placement arranged through the Career Center. Note: Requires satisfactory completion of the work assignment and a written report. Prerequisite: Instructor permission. Graded: Credit / No Credit. Units: 1.0 - 12.0.
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1.00 - 3.00 Credits
Students will serve in leadership roles in computer science activities, provide tutoring or technical assistance in labs, assist instructors in grading coursework, or assist in other activities related to the subject matter and concerns of the department. Graded: Credit / No Credit. Units: 1.0 - 3.0.
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1.00 - 3.00 Credits
Individual projects or directed reading in specified topics in computer science. Note: Open only to students who appear competent to carry on individual work; approval of faculty supervisor and advisor required. May be repeated for credit. Graded: Credit / No Credit. Units: 1.0 - 3.0.
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