ECTS - Artificial Intelligence Technologies in Business and Management
Artificial Intelligence Technologies in Business and Management (ISL329) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Artificial Intelligence Technologies in Business and Management | ISL329 | Area Elective | 2 | 0 | 0 | 2.5 | 5 |
| Pre-requisite Course(s) |
|---|
| N/A |
| Course Language | Turkish |
|---|---|
| Course Type | Elective Courses |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Demonstration, Discussion. |
| Course Lecturer(s) |
|
| Course Objectives | To enhance understanding, knowledge and skills about applications, opportunities and risks on the Artificial Intelligence technologies and subfields of neural networks, genetic algorithms and machine learning in business management. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Knowledge and skills about applications, opportunities and risks on the Artificial Intelligence technologies and subfields of neural networks, genetic algorithms and machine learning. |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to Network Society and Digital Organizations-1 | Basic concepts about network society and digital organizations should be read. |
| 2 | Introduction to Network Society and Digital Organizations-2 | A video about digital organizations should be watched. |
| 3 | New Approaches in Digital Business and Management-1 | Articles on digital business models should be read. |
| 4 | New Approaches in Digital Business and Management-2 | Readings on digital management strategies should be completed. |
| 5 | Introduction to Artificial Intelligence Technologies-1 | Articles on the fundamentals of artificial intelligence should be read, and a brief paper should be prepared. |
| 6 | Artificial Intelligence Technologies and Applications-1 | The application areas of artificial intelligence should be researched, and a brief report should be written. |
| 7 | Artificial Intelligence Technologies and Applications-2 | Advanced readings on artificial intelligence applications should be conducted. |
| 8 | Midterm | The topics covered should be reviewed. |
| 9 | Robotics and Business Management | Articles on robotic technologies should be read. |
| 10 | Robotics and Business Management Applications | One case study on robotic applications should be conducted. |
| 11 | Neural Networks in Business Management and Applications | Readings on artificial neural networks should be completed. |
| 12 | Machine Learning in Business Management and Applications | The basics of machine learning should be researched, and key concepts should be understood. |
| 13 | Artificial Intelligence, Security, Privacy, Ethic | Recent news on artificial intelligence security and ethics should be investigated. |
| 14 | Project presentations | Preparation for project presentations should be completed. |
| 15 | Project presentations | Preparation for project presentations should be finalized. |
| 16 | Final Exam | The topics covered should be reviewed. |
Sources
| Course Book | 1. Nils J. Nilsson, Yapay Zekâ-Geçmişi ve Geleceği, Boğaziçi Üniversitesi Yayınevi, 2018. |
|---|
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | 15 | 16 |
| Laboratory | - | - |
| Application | 8 | 24 |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | - | - |
| Presentation | 1 | 5 |
| Project | 1 | 10 |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 1 | 20 |
| Final Exam/Final Jury | 1 | 25 |
| Toplam | 27 | 100 |
| Percentage of Semester Work | 75 |
|---|---|
| Percentage of Final Work | 25 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| 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 | Gains the ability to use knowledge by acquiring conceptual and practical understanding of all core functions of business. | |||||
| 2 | Identifies problems related to the field of business and effectively uses scientific approaches in problem-solving and decision-making processes. | X | ||||
| 3 | Demonstrates and analyzes the environmental, social, global impacts and legal consequences of practices related to core business functions. | |||||
| 4 | Analyzes information and reports relevant to businesses at national, regional, and global levels, and sets strategic goals based on the results obtained. | |||||
| 5 | Gains the ability to use, report, and interpret Business Information Systems and their sub-modules required for business management. | X | ||||
| 6 | Plans the necessary activities such as taking risks, securing resources, conducting market analysis, and preparing business plans for starting a new venture and ensuring its sustainability with innovative and creative thinking, and applies the acquired knowledge accordingly. | |||||
| 7 | Supports oneself and the organization in terms of innovation and continuous improvement, while being aware that the process of research and learning is lifelong and following scientific and technological developments related to business. | |||||
| 8 | Acquires the necessary leadership and managerial skills to achieve business objectives effectively and efficiently. | |||||
| 9 | Conducts scientific research in the field of business and reports the research findings to be used in managerial decision-making processes. | |||||
| 10 | Uses effective verbal, written, and visual communication methods to convey information related to the field of business in the language of instruction and professional English. | |||||
| 11 | Develops awareness of professional ethics, environmental sensitivity, sustainability, social responsibility, and cultural, societal, and universal values. | |||||
| 12 | Takes initiative in working effectively with different disciplines or multicultural teams, assuming responsibility, conducting risk analysis, adapting to change, and applying critical thinking and problem-solving skills. | X | ||||
| 13 | . | |||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | 8 | 1 | 8 |
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 1 | 14 |
| Presentation/Seminar Prepration | 1 | 2 | 2 |
| Project | 1 | 8 | 8 |
| Report | |||
| Homework Assignments | |||
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 1 | 20 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 25 | 25 |
| Total Workload | 125 | ||