Computer Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Computer Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05051130 | E-Commerce | 3 | Autumn | 5 | 3+0+0 | 3 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Yok |
| Mode of Delivery | Face to Face |
| Prerequisites | Yok |
| Coordinator | - |
| Instructor(s) | Assoc. Prof. Ali ÖZTÜRK |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Assoc. Prof. Ali ÖZTÜRK | A-127 | [email protected] | 0 | Thursday 14.00-15.00 |
Course Content
Dijital Pazarlama ve Elektronik Ticaretin Tanımı/Türleri/ Tarihsel Gelişimi/İnternetin
Tanımı/ İnternette Pazarlamaya Giriş/İnternette Pazarlama Araştırması/ İnternette
Ödeme Sistemleri/Satışçıların Gözetim ve Kontrolü
Tanımı/ İnternette Pazarlamaya Giriş/İnternette Pazarlama Araştırması/ İnternette
Ödeme Sistemleri/Satışçıların Gözetim ve Kontrolü
Objectives of the Course
Dijital dünya uygulamalarına ilişkin bilgi eksikliklerini gidererek , bu teknolojiler
üzerinden gerçekleştirilen pazarlama uygulamaları ile ilgili kavramları açıklamak
üzerinden gerçekleştirilen pazarlama uygulamaları ile ilgili kavramları açıklamak
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | |
| Support Courses | X |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P2 | Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose | 4 |
| P6 | Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills | 3 |
| P10 | Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development | 1 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Must have knowledge about our country's future forecast, priority scientific and technological development areas and goals. | P.11.1 | |
| O2 | Must have technological knowledge of basic measurement theory, sensors, amplifiers, transducers and other measurement components. | P.3.6 | |
| O3 | Application of developed methods to solve problems effectively and efficiently. | P.4.3 | |
| O4 | Knowing ethics in the engineering profession | P.9.2 | |
| O5 | Working ability | P.9.3 | |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Midterms | 1 | 40 (%) |
| Final Exam | 1 | 60 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 3 | 3 |
| Quiz | 0 | 0 | 0 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 2 | 2 |
| Other | 1 | 1 | 1 |
| Total Work Load: | 76 | ||
| Total Work Load / 30 | 2,53 | ||
| Course ECTS Credits: | 3 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P3 | P4 | P9 | P11 |
|---|---|---|---|---|---|
| O1 | Must have technological knowledge of basic measurement theory, sensors, amplifiers, transducers and other measurement components. | 2 | - | - | - |
| O2 | Application of developed methods to solve problems effectively and efficiently. | - | - | - | - |
| O3 | Knowing ethics in the engineering profession | - | - | 3 | - |
| O4 | Working ability | - | - | - | - |
| O5 | Must have knowledge about our country's future forecast, priority scientific and technological development areas and goals. | - | - | - | 5 |