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Course Description |
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Course Name |
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Computer Applications in Industrial Engineering |
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Course Code |
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ENM424 |
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Course Type |
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Compulsory |
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Level of Course |
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First Cycle |
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Year of Study |
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4 |
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Course Semester |
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Spring (16 Weeks) |
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ECTS |
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6 |
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Name of Lecturer(s) |
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Instructor CENK ŞAHİN |
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Learning Outcomes of the Course |
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To learn to use Enterprise Resource Planning (ERP) softwares To learn to design databases To solve the problems using optimization softwares
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Mode of Delivery |
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Face-to-Face |
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Prerequisites and Co-Prerequisites |
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None |
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Recommended Optional Programme Components |
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None |
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Aim(s) of Course |
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The aim of this course is to acquire skill to solve the problems which industrial engineering students may face in their professional lives via help of computer software and various software approaches. It is assumed that each student has the knowledge of computer programming and algorithm development. It is expected that each student can cary out a term project. |
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Course Contents |
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CASE and Software Development Environments , Business Intelligence, Databases (ORACLE, MSMSQL, MySQL, MySQL/PostGreSQL, SAP), Database and Internet Programming (HTML, XML, ASP, PHP), MATLAB, MATLAB/SIMULLINK, General Review and Project Presentations |
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Language of Instruction |
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Turkish |
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Work Place |
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Classroom and Laboratory |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
CASE and Software Development Environments-I |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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2 |
CASE and Software Development Environments-II |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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3 |
Business Intelligence Systems |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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4 |
Database-ORACLE |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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5 |
Database-MSMSQL |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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6 |
Database-MySQL/PostGreSQL |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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7 |
Database-SAP |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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8 |
Midterm |
Study for exam |
Exam |
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9 |
Database and Internet Programming-HTML |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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10 |
Database and Internet Programming-XML |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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11 |
Database and Internet Programming-ASP |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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12 |
Database and Internet Programming-PHP |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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13 |
MATLAB |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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14 |
MATLAB/SIMULINK |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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15 |
General Review and Project Presentations |
Reading lecture notes and references about the subject |
Lecture, laboratory |
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16/17 |
Final Exam |
Study for exam |
Exam |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
Oracle Lecture Notes, Irfan Macit, Cukurova University, Adana, 2002
Demirkol, Z.,ProASP İle Web Programcılığı ve Elektronik Ticaret, Mayıs 2002, İstanbul.
Karakas,U.,Bilgisayar Yazılımında Veri Yapıları ve Algoritmalar, Beta Mayıs 2000, İstanbul.
Yazıcı, A., ŞEKİHANOV, A., Oracle 8i SQL - PL/SQL - Developer 6, Atılım University Press 2001 Ankara.
Uysal,M., KARAHOCA, A., Bilgisayar Destekli Yazılım Tasarımı, Beta Yayın, 1996 İstanbul.
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| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
80 |
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Homeworks/Projects/Others |
1 |
20 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. |
5 |
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2 |
Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. |
4 |
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3 |
Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. |
4 |
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4 |
Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . |
5 |
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5 |
Gains ability to choose and apply methods and tools for industrial engineering applications. |
5 |
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6 |
Can access information and to search/use databases and other sources for information gathering. |
4 |
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7 |
Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. |
4 |
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8 |
Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. |
5 |
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9 |
Can use computer software in industrial engineering along with information and communication technologies. |
5 |
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10 |
Can use oral and written communication efficiently. |
2 |
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11 |
Has a conscious understanding of professional and ethical responsibilities. |
4 |
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12 |
Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. |
3 |
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13 |
Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. |
3 |
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14 |
Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. |
5 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
4 |
56 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
2 |
28 |
| Assesment Related Works |
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Homeworks, Projects, Others |
1 |
20 |
20 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
20 |
20 |
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Final Exam |
1 |
20 |
20 |
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Total Workload: | 144 |
| Total Workload / 25 (h): | 5.76 |
| ECTS Credit: | 6 |
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