Module Notes

Computers Laboratory

0
This module will not be offered for this semester
Faculty Member (Members)
efarsari
Undergraduate
Fall
1st Year
1st Semester (1st Year, Fall)
Module Type
Background Courses
Module Category
Compulsory Modules
Course Code:
CHM_163
Course URL:
E-CLASS (CMNG2112)
Credits:
2
ECTS Credits:
3
Module Availability on Erasmus Students:
No
Teaching Language:
Greek
Laboratory:
2h/W
Lectures:
1h/W
Τutorial:
Project/Homework:
6/Semester
Teaching Type
Student's office hours:
Module Details

Ability to use Excel for data analysis and presentation

Ability to use Matlab for data analysis and presentation

Ability to use Matlab as a tool for solving basic engineering problems

Writing and presentation of original reports

General computing skills (High School level)

  • Introduction to engineering computation. Analytical vs algorithmic problem solving. Data retrieval, analysis and visualization.
  • Introduction to EXCEL, using the spreadsheet, data formatting, excel functions, logic expressions, iterative solution, lookup tables, linear regression, using the solver, data visualization in EXCEL.
  • Introduction to MATLAB, command line processing, script files, function files, vectors and matrices, plotting in MATLAB.
  • MATLAB programming, branching and loops, data output.
  • Elementary applications: roots of equations, matrix operations, solving systems of equations, numerical integration and optimization.

Keywords: Computer programming, EXCEL, MATLAB

Teaching Organization

LECTURES: 1 h/w
LAB/PRACTICE: 2 h/w
PROJECT/HOMEWORK: 6/semester

Total Module Workload (ECTS Standards):

95 Hours

Average mark of six original homework reports based on individual data retrieval, analysis and presentation.

  1. Engineering Computations, An Introduction Using MATLAB and EXCEL. J. C. Musto, W. E. Howard and R. R. Williams. McGraw Hill 2009. ISBN 978-007-126357-3 (Βασικό Σύγγραμμα)
  2. MATLAB για Μηχανικούς. A. Biran and M. Breiner (3rd edition). Εκδόσεις Τζιόλα 2003. ISBN 960-418-012-6
  3. eclass materials: Lecture presentations, Solved past exam subjects.