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. |
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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 | 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 | Students can learn the basic concepts, theories and methods of political science and public administration and use them in the analysis of national and global political developments and cause-effect relationships. | |||||
| 2 | It enables one to understand how policies are created and implemented in real life at the local, national, regional and/or global level, to recognize the important institutions and actors that play a role in these processes, and to know the functioning of public administration. | |||||
| 3 | It provides a basic level of knowledge about other fields related to political science and public administration disciplines (such as international relations, sociology, psychology, cultural studies, economics, law, history, etc.) and thus provides an interdisciplinary understanding that takes into account the relationships between different areas of life and establishes connections. | |||||
| 4 | Learning the use of quantitative and/or qualitative research techniques that can be used in the field of political science and public administration, software, hardware and/or technical tools that can be useful; gaining experience in designing and executing research projects to develop their application skills in this field. | |||||
| 5 | By promoting critical analytical thinking, intellectual debate and lifelong learning, the development of the ability to act with an open mind, to avoid discrimination and to be sensitive and respectful of different points of view, thus developing skills for acting in partnership. | |||||
| 6 | To develop decision-making and initiative taking, work completion and time management competencies by understanding business ethics in public administration, politics and all related fields. | |||||
| 7 | Developing communication skills, oral and written expression, presentation techniques; learning the writing principles and procedures required to write an academic article on political science and public administration disciplines. | |||||
| 8 | The aim of the course is to master the English terminology in the disciplines of political science and public administration and to gain foreign language knowledge at a level to follow the studies written in English, so that current political developments and events in various countries can be analysed comparatively. | |||||
| 9 | To know the political history of both Turkey and the world in terms of periods, important turning points and actors, to comprehend the impact of the social-historical backgrounds of countries on current political and administrative issues. | |||||
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 | ||