GMÜ641 - INFORMATION TECHNOLOGY
Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
---|---|---|---|---|---|---|
INFORMATION TECHNOLOGY | GMÜ641 | Any Semester/Year | 3 | 0 | 3 | 7 |
Prequisites | ||||||
Course language | Turkish | |||||
Course type | Elective | |||||
Mode of Delivery | Face-to-Face | |||||
Learning and teaching strategies | Lecture Discussion Question and Answer Other: Homeworks | |||||
Instructor (s) | Department academic staff | |||||
Course objective | Graduates from the Information Technology course gain the following skills and attributes by completing the coursework and professional experiences: An understanding of computer system components with depth and experience in their integration. Creative and analytical thinking skills that provide a basis for technological problem. The ability to integrate systems for the purpose of facilitating communications with each other. The ability to lead and to communicate effectively, both orally and in writing. The skills and attitudes of life-long learning. The ability to apply knowledge, manage projects and work effectively in diverse teams. | |||||
Learning outcomes |
| |||||
Course Content | Operation systems and office package programs. Application of local and global networks-internet. Network management and file sharing. Electronic mailing. Web site design and publishing. Access and use of anonymous data-bases. Mobile communication systems | |||||
References | Applied Mathematics in Chemical Engineering, Mickley, Sherwood, Reed, McGraw Hill. Mühendisler İçin Sayısal Yöntemler Steven C. Chapra & Raymond P. Canal Çevirenler: Hasan Heperkan & Uğur Kesgin Literatür Yayınevi, 2003. |
Course outline weekly
Weeks | Topics |
---|---|
Week 1 | Introduction to Information Technology |
Week 2 | Introduction to Operating Systems |
Week 3 | Computers and society |
Week 4 | Visual programming |
Week 5 | Introduction to computer hardware |
Week 6 | Introduction to programming |
Week 7 | Introduction to information systems |
Week 8 | Midterm exam |
Week 9 | Introduction to system analysis and design |
Week 10 | Introduction to internet technology |
Week 11 | Introduction to statistics |
Week 12 | Introduction to databases |
Week 13 | Project, Project management |
Week 14 | lnformation systems management |
Week 15 | Preparation for final exam |
Week 16 | FINAL EXAM |
Assesment methods
Course activities | Number | Percentage |
---|---|---|
Attendance | 10 | 0 |
Laboratory | 0 | 0 |
Application | 0 | 0 |
Field activities | 0 | 0 |
Specific practical training | 0 | 0 |
Assignments | 3 | 30 |
Presentation | 0 | 0 |
Project | 0 | 0 |
Seminar | 0 | 0 |
Midterms | 1 | 20 |
Final exam | 1 | 50 |
Total | 100 | |
Percentage of semester activities contributing grade succes | 0 | 50 |
Percentage of final exam contributing grade succes | 0 | 50 |
Total | 100 |
WORKLOAD AND ECTS CALCULATION
Activities | Number | Duration (hour) | Total Work Load |
---|---|---|---|
Course Duration (x14) | 14 | 3 | 42 |
Laboratory | 0 | 0 | 0 |
Application | 0 | 0 | 0 |
Specific practical training | 0 | 0 | 0 |
Field activities | 0 | 0 | 0 |
Study Hours Out of Class (Preliminary work, reinforcement, ect) | 12 | 3 | 36 |
Presentation / Seminar Preparation | 0 | 0 | 0 |
Project | 0 | 0 | 0 |
Homework assignment | 3 | 24 | 72 |
Midterms (Study duration) | 1 | 25 | 25 |
Final Exam (Study duration) | 1 | 35 | 35 |
Total Workload | 31 | 90 | 210 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
D.9. Key Learning Outcomes | Contrubition level* | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1. The graduates have acquired extensive and profound knowledge from the scientific work being carried out in their field. They are able to evaluate data critically and to draw conclusions from it. | X | ||||
2. The graduates have understanding of applicable techniques and methods and their limits. | X | ||||
3. They are aware of new developments in their field and familiarise themselves with new tasks systematically and without taking too long. | X | ||||
4. The graduates are able to formulate engineering problems and find solutions which require very considerable competence as far as methods are concerned. | X | ||||
5. The graduates are able to develop new and/or original idea and methods and apply innovative methods in solving the products or processes design problems. | X | ||||
6. The graduates have ability to use their powers of judgment as engineers in order to work with complex and possibly incomplete information, to recognise discrepancies and to deal with them. | X | ||||
7. The graduates are able to understand the impact of engineering solutions in an environmental and societal context. | X | ||||
8. - The graduates have ability to design and implement the analytical modelling and experimental research, and deal with complexity and evaluate data critically. | X | ||||
9. The graduates have ability to understand professional, social and ethical responsibility and to act responsibly in the collection, integration, analysis, interpretation and communication of data. | X | ||||
10. The graduates have made a contribution through the written or oral presentation of original research results in the national and international scholarly community. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest