| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- Use Mathematica effectively
- Optimizasyon uygulamaları yapabilir.
- Develop system simulation model
- Use basic industrial engineering functions
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | |
|---|
| Course Description | |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
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 |
|
| Recommended or Required Reading | S.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 Methods |
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
20 |
| Quiz |
1 |
25 |
| Project |
1 |
25 |
| Total(%) |
|
70 |
| Contribution of In-term Studies to Overall Grade(%) |
|
70 |
| Contribution of Final Examination to Overall Grade(%) |
|
30 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
1 |
14 |
14 |
| Individual or group work |
14 |
13 |
182 |
| Preparation for Final exam |
1 |
25 |
25 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
14 |
14 |
| Total Work Load | 306 |
| Total Work Load / 30 (h) | 10.2 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
