ECTS - E-Commerce and Artificial Intelligence
E-Commerce and Artificial Intelligence (ETP103) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| E-Commerce and Artificial Intelligence | ETP103 | 1. Semester | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Compulsory Departmental Courses |
| Course Level | Associate (Short Cycle) |
| Mode of Delivery | |
| Learning and Teaching Strategies | . |
| Course Lecturer(s) |
|
| Course Objectives | |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | After the topics of E-Commerce process, customer experience in E-Commerce, requirements of E-Commerce and stakeholders of E-Commerce are covered, what is Artificial Intelligence, Customer Oriented Artificial Intelligence Applications and Artificial Intelligence Applications Supporting E-Commerce Process will be examined. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction - Informing students about the course | |
| 2 | What is E-Commerce? | Chapter 1 |
| 3 | E-Commerce Process | Chapter 2 |
| 4 | Customer Experience in E-Commerce | Chapter 3 |
| 5 | Requirements for E-Commerce | Chapter 4 |
| 6 | Stakeholders in E-Commerce | Chapter 5 |
| 7 | What is Artificial Intelligence? | Chapter 6 |
| 8 | Customer Oriented Artificial Intelligence Applications | Chapter 7 |
| 9 | E Commerce and Entrepreneurship | Chapter 8 |
| 10 | Artificial Intelligence Applications Supporting E-Commerce Process | Chapter 9 |
| 11 | Project Development and Preparation | Chapter 10 |
| 12 | Practical Work and Development | Chapter 11 |
| 13 | Student Presentations | |
| 14 | Student Presentations | |
| 15 | Student Presentations | |
| 16 | Student Presentations |
Sources
| Course Book | 1. Duran, C. (2021). Yapay Zekâ Temelli Pazarlama. Geleneksel Pazarlamanın Sonu mu? N. Ö. İyigün ve M. K. Yılmaz (Ed.) İstanbul: Beta Kitap. |
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Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | - | - |
| Project | 1 | 100 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | - | - |
| Final Exam/Final Jury | - | - |
| Toplam | 1 | 100 |
| Percentage of Semester Work | 50 |
|---|---|
| Percentage of Final Work | 50 |
| Total | 100 |
Course Category
| Core Courses | X |
|---|---|
| Major Area Courses | |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Have knowledge about the basic concepts of e-commerce and marketing | X | ||||
| 2 | Demonstrates the ability to actively use his/her knowledge in the field of e-commerce and marketing. | X | ||||
| 3 | Evaluates the dynamics in the field of e-commerce and marketing within the framework of current practices. | X | ||||
| 4 | Analyses the necessary information to follow technological, commercial and socio-cultural developments related to e-commerce and marketing. | X | ||||
| 5 | Solves the problems in the field of e-commerce and marketing with analytical and objective thinking ability. | X | ||||
| 6 | Has the knowledge to communicate effectively in written and oral communication in the field of e-commerce and marketing. | X | ||||
| 7 | Have professional competence with advanced communication skills, vision, ethical values and high ability to adapt to teamwork. | X | ||||
| 8 | Learns the basics of web design. | X | ||||
| 9 | Have detailed knowledge about e-commerce sites, mobile marketing, digital advertising, digital media planning, social media, digital analysis and measurement | X | ||||
| 10 | Have knowledge about data literacy and data management. | X | ||||
| 11 | Have a command of changing communication strategies and technologies and can manage processes | X | ||||
| 12 | Gains the competencies that have developed in line with the expectations of the business world and society and that our university has defined as institutional outputs at the basic level | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 16 | 3 | 48 |
| Presentation/Seminar Prepration | 1 | 12 | 12 |
| Project | 1 | 30 | 30 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | |||
| Prepration of Final Exams/Final Jury | 1 | 12 | 12 |
| Total Workload | 150 | ||