COURSE UNIT TITLE

Offered By

BUSINESS ADMINISTRATION

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR SABRI ERDEM

Offered to

BUSINESS ADMINISTRATION

Course Objective

This course will introduce students to GPT, a state-of-the-art language generation model, and other advanced AI tools relevant to business administration. Topics will include GPT and other AI tools for natural language processing, data analysis, and decision-making. The course will also explore the ethical and societal implications of these technologies.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbooks:

"Generative Pre-trained Transformer 3 (GPT-3): A Concise Overview" by A. Raza and S. Hasan provides an overview of GPT-3 and its capabilities.
"AI for Business: The Essential Guide to Artificial Intelligence" by B. O'Reilly provides an introduction to AI and its applications in business.


Online tutorials and resources:

OpenAI's GPT-3 Playground is a great resource for learning about GPT-3 and experimenting with its capabilities.

Kaggle is a website that hosts data science competitions and provides a wealth of resources for learning about data analysis and machine learning.

Coursera and edX offer a wide range of online courses on AI and related topics, many of which are taught by leading experts in the field.

Research Papers:
"The OpenAI GPT-3 paper" (Brown et al., 2020) provides an in-depth look at GPT-3 and its capabilities.

"AI in Business: Past, Present, and Future" (Hamel and Bughin, 2018) provides an overview of the history of AI in business and its current and future applications.

Transforming the generative pre-trained transformer into augmented business text writer , Khalil, F., Pipa, G. Transforming the generative pre-trained transformer into augmented business text writer. J Big Data 9, 112 (2022). https://doi.org/10.1186/s40537-022-00663-7


Tools and software:

GPT-3 (ChatGPT) by OpenAI is the state-of-the-art language generation model that will be the focus of the course.

Google Palm achieves state-of-the-art few-shot performance across most tasks, by significant margins in many cases.

Python is a popular programming language for data science and machine learning and is used in many of the tutorials and resources recommended above.


Ethical and Societal Implications:

"The Social Dilemma" a documentary produced by Netflix, provides an overview of the ethical and societal implications of AI and technology.

"AI Ethics Lab" by Oxford University, provides a wide range of resources on the ethics of AI, including case studies and guidelines for responsible AI development.

Planned Learning Activities and Teaching Methods

Use case presentations: Have students research and present on real-world use cases of GPT and other AGI tools in different industries such as finance, healthcare, and e-commerce.

Case studies: Use case studies to illustrate the application of GPT and other AGI tools in real-world business scenarios and the impact of these tools on the industry and society.


Guest speakers: Invite experts in different industries who are using GPT and other AGI tools to speak to the class and provide real-world perspectives on the technology.

Group projects: Have students work in groups to develop a use case for a specific industry and present their findings to the class.

Hands-on learning: Provide students with opportunities to work with GPT and other AGI tools through lab sessions or workshops on specific use cases.

Role-playing: Have students role-play as business leaders or executives and use GPT and other AGI tools to solve a problem or make a decision relevant to the industry.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

As in our class study, students are expected to create a new app/program/prompt/design using appropriate design/programming/development tool, and they will demonstrate their each stage of implementation as a video presentation. To do that:

1-Students will signup to the related tools/platforms such as online.deu.edu.tr.

2-Students will create a Google (and YouTube) account if it does not exist.

3- Students will install OBS (visit and install OBS studio at https://obsproject.com) as a screen recorder application

4-Students will review our class studies.

5- Students will start their screen-recording application on their computer.

6-Students will present (note that the screen-recorder application must record their VOICE and FACE) what you do while coding/developing/designin/testing their work. Before starting development/designing /programming/modeling/prompting, students will introduce themselves and their work. They must speak English. (10 POINTS) They must open your camera and show THEIR FACE during recording as well. (10 POINTS)

7-Description of their assignment/project/homework about what to do will be here in detail. (40-60 POINTS)
7-a: Explain the problem/case that is the subject of the assignment/project to demonstrate that you understand it correctly (10 POINTS)
7-b: Analyze the assignment/project (10 POINTS)
7-c: Implement your solution to the assignment/project (10-20 POINTS)
7-d: Summarize your findings/conclusions from the assignment/project implementation (10-20 POINTS)
7-e: Discuss your insights and experience from the assignment/project implementation (10-20 POINTS)

8-Students will save their screen recording and upload their YouTube channel. They can publish it as "public but not listed" or "publicly available to everyone" up to their private choice. Ensure their video is playing correctly and open to everyone by sharing the link. It would be better to create milestones in youtube video. You can get relevant guidelines from Youtube. Students' video presentations will not exceed 20 minutes and must not be less than 10 minutes in length! (10 POINTS)

9-Students will send their YouTube link (as an attachment) as a response to that assignment. They will NOT TRY TO UPLOAD to online.deu.edu.tr medium because it has limited storage space. Checking the availability and accessibility of the videos is students' responsibility. (10 POINTS)

10-Students will attach their working file in its appropriate format and Report in PDF format, and other materials, such as pictures, etc. here. All the files' names should include student identity and assignment/project number (10-20 POINTS)

11-LATE SUBMISSIONS WILL BE ACCEPTED BUT PENALIZED AS -20 POINTS!!!

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes