PLA Course Subjects

Prior Learning Assessment Course Subjects

computing

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Courses 1-10 of 12 matches.
Computing Environments   (CAP-170)   3.00 s.h.  
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Students will be exposed to a variety of computing environments. The course will include extensive hands-on use of different platforms and operating systems. Topics covered will include user tools, user programming techniques, application packages, and networking and communications. Students will gain an understanding of the principles of computing which will enable them to adapt to future technological developments. 
Introduction to Computing in Aviation   (ATC-251)   3.00 s.h.  
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Diverse exposure to the digital computer and its uses and capabilities as a management tool. Topics include basic introduction to systems analysis and management information systems. Contrasts hardware capabilities, programming requirements, and systems analysis and planning. 
Air Traffic Control Computing System   (ATC-351)   3.00 s.h.  
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Selected computational techniques and problems in Air Traffic Control will be studied in depth, data rates, acquisition and display techniques, fail-safe systems technology, and man-machine interface problems will be explored. 
Information Systems Design   (CIS-322)   3.00 s.h.  
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Course Description
Business information systems design, installation and implementation as part of the systems development life cycle, with emphasis on structured design methodology.

Learning Outcomes
Through the Portfolio Assessment process, students will demonstrate that they can appropriately address the following outcomes:

  • An ability to apply knowledge of computing and mathematics appropriate to the discipline
  • Demonstrated ability to analyze a problem, and identify and define the computing requirements appropriate to its solution
  • Demonstrated ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs
  • Demonstrated ability to function effectively on teams to accomplish a common goal
  • Articulate an understanding of professional, ethical, legal, security and social issues and responsibilities
  • Communicate effectively with a range of audiences of varied technical sophistication
  • Analyze the local and global impact of computing on individuals, organizations, and society
  • Articulate the ongoing need to engage in continuing professional development
  • Utilize current techniques, skills, and tools necessary for computing practice
  • Demonstrated understanding of processes that support the delivery and management of information systems within a specific application environment

 
Combinatory   (STA-322)   3.00 s.h.  
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Sets, counting, permutations and combinations, generating functions, recurrence relations, graphs and their coloring, circuits, trees, and searching. Applications to computing and operations research. 
Landscape Construction   (HOR-341)   3.00 s.h.  
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Interpretation of landscape plans and specifications, estimating quantities of materials, computing costs, and procedures for bidding and executing landscape construction projects are covered in this course. 
Celestial Navigation II   (MRN-371)   3.00 s.h.  
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A continuation of celestial navigation. Problems include computing moonrise and moonset, star time and star identifications. Solution of planet and moon observation for position by HO 229 method. Planet, moon and star azimuths to determine compass error. Solution of star observation for position by HO 299 method. Nautical astronomy as related to the celestial sphere. 
Parallel Computers and Programming   (COS-431)   3.00 s.h.  
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Course Description
General structures and design techniques of parallel computers. Programming paradigms and algorithm design considerations for parallel processors.

Learning Outcomes
Through the Portfolio Assessment process, students will demonstrate that they can appropriately address the following outcomes:

  • Define terminology commonly used in parallel computing.
  • Describe different parallel architectures, inter-connect networks, programming models, and algorithms for common operations.
  • Develop an efficient parallel algorithm to solve a problem.

 
Python Programming    (COS-205)   3.00 s.h.  
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Course Description
Python Programming enables students to implement fundamental principles of modern programming using the Python programming language and problem-solving techniques related to computing.

Learning Outcomes
Through the Portfolio Assessment process, students will demonstrate that they can appropriately address the following outcomes:

  • Describe the details of programs that perform programmatic numerical computations
  • Explain the concept of objects, and the use of objects in the graphics library
  • Discuss how to process strings, lists, and files
  • Explain the use of functions
  • Explain the concept of decision structures
  • Describe how to handle program exception
  • Discuss the use of programming loops
  • Apply Boolean algebra, expressions, and data types

 
Computer Architecture   (COS-330)   3.00 s.h.  
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Course Description
Covers the nature and limitations of computers. The CPU is covered in detail, including processor, control and memory design. Data path design and the ALU both fixed and floating-point arithmetic are covered. The course also includes pipeline and superscalar processing. Finally, the I/O system is studied in some detail.

Learning Outcomes
Through the Portfolio Assessment process, students will demonstrate that they can appropriately address the following outcomes:

  • Describe major advances in modern computing as well as some of the latest trends in the industry.
  • Illustrate by example the major components of a computer system, including CPU, I/O, memory, and storage.
  • Describe in detail the components of the CPU, including the ALU, the processor, control unit, and memory.
  • Explain the performance of I/O, giving examples of devices.
  • Explain the essentials of computer arithmetic.

 
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