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  1. Programs
  3. Computer Programming

Computer Programming

University of Arkansas Community College Rich Mountain

CertificateCIP: 52.1201

Become a contributor for free to openly demonstrate student outcomes, industry alignment & eligibility criteria.

Prepares students to design and analyze the needs of an information system and create basic computer programs through coursework in computer applications, systems design and analysis, and introductory and advanced programming with Java.

Credits

15 credits

Dates

Since Jan 2017

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Program Pathways

Credentials this program stacks toward

No program pathways.

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Program Details

Detailed information about this program

No detailed information available.

Requirements

What you need to earn this credential

No requirements listed.

Financial Aid

Eligible funding programs

No funding information available.

Scholarships

No scholarships listed.

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Locations

Where this program is offered

  • Mena, Arkansas

    1100 College Dr, Mena, Arkansas, 71953

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Related Programs

Programs related to this one

No related programs.

Skills & Competencies

Skills developed through this program

Auto-populated·from O*NET via SOC 25-1021.00

Skills

Reading ComprehensionCritical ThinkingActive ListeningSpeakingJudgment and Decision MakingProgrammingComplex Problem SolvingSystems AnalysisWritingInstructingActive LearningLearning StrategiesQuality Control AnalysisMonitoringCoordination

Knowledge

Computers and ElectronicsEnglish LanguageMathematicsCustomer and Personal ServiceEngineering and TechnologyDesignEducation and TrainingAdministration and Management

Abilities

Oral ComprehensionOral ExpressionWritten ComprehensionDeductive ReasoningInductive ReasoningInformation OrderingNear VisionWritten ExpressionProblem SensitivitySpeech ClaritySpeech RecognitionCategory Flexibility

Tasks

  • Prepare course materials, such as syllabi, homework assignments, and handouts.
  • Compile, administer, and grade examinations or assign this work to others.
  • Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, da
  • Write, analyze, review, and rewrite programs, using workflow chart and diagram, and applying knowled
  • Correct errors by making appropriate changes and rechecking the program to ensure that the desired r
  • Perform or direct revision, repair, or expansion of existing programs to increase operating efficien
  • Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Verify the structure, accuracy, or quality of warehouse data.
  • Map data between source systems, data warehouses, and data marts.
  • Develop and document database architectures.
  • Collaborate with system architects, software architects, design analysts, and others to understand b
  • Develop database architectural strategies at the modeling, design and implementation stages to addre
  • Direct daily operations of department, analyzing workflow, establishing priorities, developing stand
  • Meet with department heads, managers, supervisors, vendors, and others, to solicit cooperation and r
  • Review project plans to plan and coordinate project activity.

Technology

Development environment softwareObject or component oriented development softwareWeb page creation and editing softwareData base user interface and query softwareWeb platform development softwareData base management system softwareGraphics or photo imaging softwareVideo creation and editing softwareComputer based training softwareDocument management softwareMetadata management softwareWord processing softwareEnterprise resource planning ERP softwareAccess softwareBackup or archival softwareCustomer relationship management CRM softwareDesktop publishing software

Tools

Carousel slide projectorsCompact digital camerasCompact disk CD playersComputer data input scannersComputer laser printersComputer projectorsConference telephonesDesktop computersDigital calculatorsDigital video disk DVD playersDigital video editorsHandheld microphonesHandheld videocamerasInteractive whiteboard controllersInteractive whiteboardsComputer serversMainframe computersMainframe operating systemsSerial port cardsData warehouse appliancesLaptop computersMulti-line telephone systemsPersonal computersStorage serversCopy machinesHard disk drivesLaser facsimile machinesLoad balancersNotebook computersRedundant array of independent disks RAID systems

Work Values

AchievementIndependenceWorking ConditionsRecognitionRelationshipsSupport
Career Pathways

Occupations this program prepares you for

  • Computer Science Teachers, Postsecondary25-1021.00
  • Computer Programmers15-1251.00
  • Data Warehousing Specialists15-1243.01
  • Database Architects15-1243.00
  • Computer and Information Systems Managers11-3021.00
What You'll Learn

Key competencies developed through this program

Auto-populated·from NSX Competency Framework

Mastery: developing (Level 2)(based on Certificate)

  • Course syllabi, assignment sequences, and handouts — independently design and revise for undergraduate and introductory graduate computer science courses aligned with learning outcomes.
  • Lectures on intermediate topics such as algorithms, software engineering, and database systems — prepare and deliver with minimal oversight to undergraduate cohorts in a university setting.
  • Student class work, laboratory submissions, and written papers — evaluate using self-developed rubrics that reflect current disciplinary standards in computer science.
  • Examinations covering multiple course modules — compile, administer, and grade independently, ensuring alignment with stated course objectives and institutional academic integrity policies.
  • Grade books, attendance logs, and required departmental records — maintain consistently and submit on schedule through institutional administrative systems.
  • Professional conferences and peer-reviewed journals — engage with regularly to incorporate emerging computing technologies and pedagogical methods into course delivery.
  • Office hours and advising appointments — conduct on a scheduled basis, offering substantive guidance on academic progress and project development to undergraduate students.
  • Computer-based training software and development environment tools — integrate into laboratory instruction to provide students with authentic coding and debugging experiences.
  • Instructional methods and course pacing — adapt in response to formative assessment data and observed student performance trends across a semester.
  • Collaborative course planning discussions — contribute constructively with departmental colleagues to align course sequencing and prerequisite structures within the CS curriculum.

Some details on this page are auto-populated from public workforce data sources: O*NET (opens in new tab), BLS (opens in new tab), College Scorecard (opens in new tab), DOL Training Provider Results (opens in new tab), NSX (opens in new tab). Provided in partnership with LER.me Career Intelligence.

Student Outcomes

Performance metrics for this program

Completion Rate
Not reported
Placement Rate
Not reported