Computer Applications for Industrial Engineers

Course Code:

ISE 316

Course Period:

Spring

Course Type:

Core

Credits:

3

Theoric:

2

Practice:

0

Laboratory Hour:

2

ECTS:

5

Prerequisite Courses:

Computational Methods for Industrial Engineers

Course Language:

English

Courses given by:

Sina Rastani

Course Objectives:

• Understanding basic programming concepts and approaches • Learn desinging of an algorithm • To be able to design optimization algorithms • To have an idea about the algorithms used in industrial engineering • To reach the level of running optimization algorithms

Course Content:

To create heuristic and metaheuristic algorithms and solve optimization problems.

Course Methodology:

1: Lecture by instructor, 2: Lecture by instructor with class discussion, 3: Problem solving by instructor, 4: Use of simulations, 5: Problem solving assignment, 6: Reading assignment, 7: In class case study, 8: Term research paper, 9: Presentation by gue

Course Evaluation Methods:

A: Written exam, B: Multiple-choice exam C: In class exercise D: Experiment report, E: Homework, F: Project, G: Report by Student

Vertical Tabs

Ders Tanimlari

Course Learning Outcomes

Course Learning Outcomes	Detailed Program Outcomes	Teaching Methods	Assessment Methods
Have an idea about what algorithms can be used for problems in the field of industrial engineering.	1a, 2a	1, 2, 3	A, C
Gaining the skill to use C programming language at a good level.	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6c,	1, 2, 3	A, C
Programming skill to run algorithms written in C programming language	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6c,	1, 2, 3	A, C
Having knowledge about how Network Flow algorithms work	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6c	1, 2	A, C
Learn the structure and working principles of facility layout and routing algorithms	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6c	1, 2	A, C
Develop and program algorithms for optimization of univariate linear equations	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6a ,6c	1, 2, 4	A, C
Can use matrix operations and sorting algorithms	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6c	1,2,3	A, C
Learn basic knowledge about heuristic/metaheuristic algorithms and advanced programming techniques	1a, 1b, 2a, 2b, 3a, 3b, 4a, 4b, 6a, 6c	1,2,4,5	A, C

Course Flow

COURSE CONTENT
Week	Topics	Study Materials
1	Introduction to C	Textbook, Lecture Notes
2	Introduction to Programming in C	Textbook, Lecture Notes
3	Network Flow Algorithms	Textbook, Lecture Notes
4	Network Flow Algorithms	Textbook, Lecture Notes
5	Development of Linear Programming models	Textbook, Lecture Notes
6	Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
7	Programming Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
8	Meta-Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
9	Meta-Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
10	Programming Meta-Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
11	Programming Meta-Heuristic Methods for Linear Programming models	Textbook, Lecture Notes
12	Facility location and Routing Algoritms	Textbook, Lecture Notes
13	Facility location and Routing Algoritms	Textbook, Lecture Notes
14	Facility location and Routing Algoritms	Textbook, Lecture Notes

Recommended Sources

RECOMMENDED SOURCES
Textbook	Deitel,P. Deitel,H., 2013, C: How to program, Prentice Hall, 7th edition.
Additional Resources	H. A. Taha, Operations Research: An Introduction, Pearson Education, 2007

Material Sharing

MATERIAL SHARING
Documents	Powerpoint slides, https://coadsys.yeditepe.edu.tr
In class Assignments
Exams	Quiz, Project, Final

Assessment

ASSESSMENT
IN-TERM STUDIES	NUMBER	PERCENTAGE
Quiz	2	30
Project	1	20
Total		50
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL GRADE		50
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL GRADE		50
Total		100

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAM OUTCOMES
No	Program Learning Outcomes	check √
1a	Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline,	√
1b	Ability to use theoretical and applied knowledge in these areas in complex engineering problems.	√
2a	Ability to identify, formulate, and solve complex engineering problems,	√
2b	Ability to select and apply proper analysis and modeling methods for this purpose.	√
3a	Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result,	√
3b	Ability to apply modern design methods for this purpose.	√
4a	Ability to devise, select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice.	√
4b	Ability to employ information technologies effectively.	√
5a	Ability to design experiments for investigating complex engineering problems or discipline specific research questions,	√
5b	Ability to conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6a	Ability to work efficiently in intra-disciplinary teams,	√
6b	Ability to work efficiently in multi-disciplinary teams,
6c	Ability to work individually.	√
7a	Ability to communicate effectively in Turkish, both orally and in writing,
7b	Knowledge of a minimum of one foreign language,
7c	Ability to write effective reports and comprehend written reports, prepare design and production reports,
7d	Ability to make effective presentations,
7e	Ability to give and receive clear and intelligible instructions.
8a	Recognition of the need for lifelong learning, ability to access information, ability to follow developments in science and technology,
8b	Ability to continue to educate him/herself.
9a	Consciousness to behave according to ethical principles and professional and ethical responsibility.
9b	Knowledge on standards used in engineering practice.
10a	Knowledge about business life practices such as project management, risk management, change management.
10b	Awareness in entrepreneurship and innovation.
10c	Knowledge about sustainable development.
11a	Knowledge about the global and social effects of engineering practices on health, environment, and safety,
11b	Knowledge about contemporary issues of the century reflected into the field of engineering.	√
11c	Awareness of the legal consequences of engineering solutions.

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Course Duration	14	3	42
Hours for off-the-classroom study (Pre-study, practice, project)	14	4	56
Quiz	2	5	10
Final	1	15	15
Total Work Load			133
Total Work Load / 25 (h)			5,32
ECTS Credit of the Course			5

Search form

Computer Applications for Industrial Engineers

Vertical Tabs

Ders Tanimlari