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Engineering Computing I
University of Galway - Full Curriculum Program
Galway, Ireland
Dates: 8/30/22 - 12/18/22
Engineering Computing I
OVERVIEW
CEA CAPA Partner Institution: University of Galway
Location: Galway, Ireland
Primary Subject Area: Computer Engineering
Instruction in: English
Course Code: CT1110
Transcript Source: Partner Institution
Course Details: Level 100
Recommended Semester Credits: 2.5
Contact Hours: 36
DESCRIPTION
This module will provide an introduction to Engineering Computation, beginning with a general overview of computer systems, operating systems and applications. Students will store data and operate on it using a spreadsheet program, and then learn how to move such data into a numerical computing package.
Learning Outcomes
1.Understand the underlying structure and operation of a modern computing systems. This includes: modern operating systems and applications.
2.Distinguish between hardware, software, various programming languages and their properties.
3.Analyse data, and design and implement basic engineering computations using equations in a spreadsheet package such as Excel.
4.Design and implement solutions to basic engineering computing problems using a high-level numerical computing environment such as Matlab.
5.Explain concepts such as Boolean algebra, data representation, and the implications of numerical precision for engineering computations.
6.Formulate engineering problems in a logical, structured and efficient fashion, and devise algorithms corresponding to these formulations.
Learning Outcomes
1.Understand the underlying structure and operation of a modern computing systems. This includes: modern operating systems and applications.
2.Distinguish between hardware, software, various programming languages and their properties.
3.Analyse data, and design and implement basic engineering computations using equations in a spreadsheet package such as Excel.
4.Design and implement solutions to basic engineering computing problems using a high-level numerical computing environment such as Matlab.
5.Explain concepts such as Boolean algebra, data representation, and the implications of numerical precision for engineering computations.
6.Formulate engineering problems in a logical, structured and efficient fashion, and devise algorithms corresponding to these formulations.