ECTS - Artificial Intelligence Technologies in Business and Management

Artificial Intelligence Technologies in Business and Management (MAN329) Course Detail

Course Name Course Code Season Lecture Hours Application Hours Lab Hours Credit ECTS
Artificial Intelligence Technologies in Business and Management MAN329 Area Elective 1 2 0 2.5 5
Pre-requisite Course(s)
N/A
Course Language English
Course Type Elective Courses
Course Level Bachelor’s Degree (First Cycle)
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Discussion, Drill and Practice.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Elif Boduroğlu
Course Assistants
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;
  • 1. Understand and interpret the concepts, development, and dynamics of the Network Society.
  • 2. Recognize potential opportunities and risks associated with robotics and machine learning applications in business functions.
  • 3. Explain how artificial intelligence practices can enhance an enterprise's competitive advantage.
  • 4. Are aware of critical issues related to legal and ethical considerations, data confidentiality, and security in the field of artificial intelligence and its applications in enterprises.
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. Mick Benson, Artificial Intelligence: Concepts and Applications Willford Press (May 16, 2018).
Other Sources 2. Jim Sterne, Artificial Intelligence for Marketing: Practical Applications Wiley. Akerkar, Rajendra Artificial Intelligence for Business, 2019. https://www.springer.com/us/book/9783319974354.

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. X
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