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 | Learns the fundamental concepts, theories, and methods of political science and public administration; and uses this knowledge to analyze the causes and consequences of political developments at the national and global levels. | |||||
| 2 | Understands how policies are formulated and implemented in real life at the local, national, regional, and/or global levels; identifies the key institutions and actors involved in these processes and comprehends the functioning of public administration. | |||||
| 3 | Gains foundational knowledge on fields related to political science and public administration—such as international relations, sociology, psychology, cultural studies, economics, law, and history—and thereby develops an interdisciplinary understanding that considers and connects the relationships among different domains of social life. | |||||
| 4 | Learns quantitative and qualitative research techniques applicable to the field of political science and public administration, as well as the use of relevant software, hardware, and/or technical tools; gains experience in designing and conducting research/projects aimed at developing practical skills in the field. | |||||
| 5 | Develops the ability to act with open-mindedness, refrain from discrimination, and be sensitive and respectful to different perspectives through the promotion of critical and analytical thinking, intellectual debate, and lifelong learning; thus, enhances skills for collective action. | |||||
| 6 | Develops decision-making and initiative taking, work completion and time management competencies by understanding business ethics in public administration, politics and all related fields. | |||||
| 7 | Develops communication skills, oral and written expression, presentation techniques; learns the writing principles and procedures required to write an academic article on political science and public administration disciplines. | |||||
| 8 | Gains command of English terminology in political science and public administration, and acquires the language proficiency necessary to engage with English-language scholarship; enabling comparative analysis of current political issues in various countries. | |||||
| 9 | Possesses knowledge of both Turkish and world political history, including key periods, turning points, and major actors; thereby understands the influence of countries' socio-historical backgrounds on contemporary 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 | ||