PLA Portfolio Assessment Course Subjects

Computing

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Courses 1-6 of 6 matches.

Information Systems Design   (CIS-322)   3 credits  

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

 

Parallel Computers and Programming   (COS-431)   3 credits  

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.

 

Intermediate Accounting I   (ACC-201)   3 credits  

Course Description
Topics covered include accounting theory, a review of the accounting cycle, financial statements, time value of money, current assets and operational assets. This course is essential for students who wish to pursue a major in accounting.

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

• Prepare reports in compliance with generally accepted accounting principles (GAAP).
• Discuss the international movement towards one global set of financial statements under the International Financial Reporting Standards (IFRS) initiative.
• Prepare and explain a balance sheet, its components and the classifications of assets, liabilities and stockholder equity, and discuss and evaluate disclosure requirements for various balance sheet accounts.
• Prepare and explain a balance sheet, its components and the classifications of assets, liabilities and stockholder equity, and discuss and evaluate disclosure requirements for various balance sheet accounts.
• Prepare and explain an income statement, its components and the classifications of revenue, expenses, gains, losses, extraordinary items, and other related items.
• Evaluate a statement of cash flows using both the direct and indirect methods.
• Explain the time value of money concept, and analyze and compute reported amounts used in the preparation of financial statements.
• Prepare transactions for cash and receivables, explain and evaluate the internal controls systems used to protect cash and receivables, and prepare appropriate adjustments and/or account reconciliations when needed.
• Explain and prepare transactions about a company's inventory transactions using and evaluating a variety of inventory valuation methodologies and making adjustments to inventory accounts when needed.
• Prepare and explain transactions about a company's operational assets including computing depreciation, depletion, and amortization using a variety of methods and recording transactions of operational asset acquisition, disposal, and impairment in the accounting records of a company.

 

Python Programming    (COS-205)   3 credits  

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 credits  

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.

 

Numerical Analysis I   (COS-361)   3 credits  

Course Description
An introduction to the theory and practice of computation with special emphasis on methods useful with digital computers. Topics include the solution of nonlinear equations, interpolation and approximation, numerical differentiation and integration, solution of differential equations, matrix calculations and the solution of system of linear equations.

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

• Explain the core areas of numerical analysis and scientific computing.
• Describe the basic themes of numerical analysis such as the approximation of problems by simpler methods, iteration methods, and error analysis.
• Explain the algorithms used to solve nonlinear equations
• Explain the techniques used for interpolation and approximation
• Discuss the techniques used for numerical differentiation and integration
• Explain the algorithms for solving differential equations
• Illustrate the numerical techniques to perform matrix calculations
• Discuss the algorithms for solving a system of linear equations.

 

Courses 1-6 of 6