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COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
SPECIAL APPLICATIONS IN INDUSTRIAL ENGINEERING END530 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Professor Yusuf Tansel İç
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Use Mathematica effectively
2) Optimizasyon uygulamaları yapabilir.
3) Develop system simulation model
4) Use basic industrial engineering functions
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION
COURSE CONTENTS
WEEKTOPICS
1st Week Basics of Mathematica: Stephen Wolfram, Aritmetic, basic functions, basic graphics, basic rules
2nd Week Algebra in Mathematica: Equations
3rd Week Mathematica Interfaces: Menus, Documents, Rules
4th Week Lineer Algebra: Vectors and matrices
5th Week Calculus: Series, Derivative, Integral
6th Week Diferantial equations
7th Week Visual Operations in Mathematica: Graphics, interactive interfaces
8th Week Midterm
9th Week Methodological and List Based Programming: Cycles, Lists
10th Week User-Defined Functions in Mathematica
11th Week Data Analysis with Mathematica: Optimization, Data Manipulation, Curve Fitting, Statistics
12th Week Optimization applications
13th Week System modelling
14th Week Introducing Functions of Basic Industrial Engineering Applications
RECOMENDED OR REQUIRED READINGS.Dick, A.Riddle.D.Stein, Mathematica in the Laboratory, Cambridge University Press, 1997.
M.L. Abell, J.P. Braselton, L.M. Braselton, A Beginner?s Guide to Mathematica, 2002.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSPresentation,Experiment
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term120
Quiz125
Project125
Total(%)70
Contribution of In-term Studies to Overall Grade(%)70
Contribution of Final Examination to Overall Grade(%)30
Total(%)100
ECTS WORKLOAD
Activities Number Hours Workload
Midterm exam122
Preparation for Quiz11414
Individual or group work1413182
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam122
Homework11414
Total Workload306
Total Workload / 3010,2
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
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K2  X   X   X   X
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