Nov 28, 2024  
2014-2015 Catalog (never published – original transition from digarc) 
    
2014-2015 Catalog (never published – original transition from digarc) [**** ATTENTION: YOU ARE VIEWING AN ARCHIVED CATALOG ****]

Software Development: Certificate of Proficiency (CTE)


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18 credits minimum

Computer Sciences and Information Systems Division
Taylorsville Redwood Campus, BB 109, (801) 957-5150
General Information, (801) 957-4073

www.slcc.edu/csis
CSIS Academic Advisor, (801) 957-5150

Program Faculty:
See www.slcc.edu/csis

Program Description: The Software Development Certificate of Proficiency provides instruction and hands-on experience in database management, object oriented design and development, networking protocols, and computer architecture. The
curriculum complements the course work completed in the Computer Science Fundamentals CP and prepares students to transfer to a computer science program at a four-year institution.

Career Opportunities: Computer and Information Scientist, Computer Programmer, Computer Systems Analyst.

NOTE: This Certificate of Proficiency is eligible for financial aid if it is a part of a financial aid eligible program such as an AS or AAS degree. Courses within the certificate may also be eligible if taken as part of a financial aid eligible program. Please check with the Financial Aid Office to determine if the Certificate of Proficiency and classes are eligible.

Program Student Learning Outcomes Related College-Wide Student Learning Outcomes
1. Design database solutions for business problems.
2. Implement object-oriented design and development using a contemporary object-oriented language and agile software development methods.
3. Understand interoperability concepts related network protocols.
1 - Substantive Knowledge
Communicate effectively verbally and in writing. 2 - Communicate Effectively
Understand the language of the computer including computer arithmetic, datapath and control, pipelining, memory hierarchies, and interfacing with peripheral devices. 3 - Develop Quantitative Literacy
Extract relevant data from complex information, process it appropriately, and draw reasonable conclusions, i.e., relative efficiency of comparable algorithms, appropriate data structure(s) to solve computing problems, discrete mathematics and algebraic structures as applied to computer science. 4 - Think Critically
Participate as a member of a student team during a semester long software development project. 5 - Civic Engagement and/or Working Professionally

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