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Artificial Intelligence for Business

Course
BUSN438 - Artificial Intelligence for Business
Department
Business Administration - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
6
T+P+L
3 + 0 + 0
Course Coordinator(s)
Assoc. Prof. Dr. Gamze GÜNER KİBAROĞLU
Prerequisite
-
Keywords

Course Description

This course provides a conceptual introduction to artificial intelligence (AI) for business students at Cyprus International University. Students gain broad understanding of AI techniques, applications to business problems, value extraction from AI investments, and future applications. The course covers machine learning, natural language processing, autonomous vehicles, robotics, and strategic implications. Students complete hands-on projects using Cursor AI code editor for Vibe Coding and n8n for workflow automation.

Artificial Intelligence for Business

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Exam (Written) Midterm 30
Term Project Project 30
Final Exam (Practical/Applied) Final 40
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Artificial Intelligence: Definitions, History, and Key Concepts
Week 2 The Role and Importance of AI in Business; Relationship with Digital Transformation: Building a Business's Digital Presence with AI
Week 3 Generative AI Tools: ChatGPT, Claude, Copilot, etc. Hands-on Introduction: How a Business Works: An AI-Assisted Introduction
Week 4 Business Idea Development & AI-Assisted Market/Competitor Research: Using Data for Business Decisions
Week 5 Building the Student's Future Business with AI
Week 6 AI-Assisted Brand & Logo Design
Week 7 Midterm Review & Integration
Week 8 MIDTERM EXAM (Written)
Week 9 AI-Generated Content & Brand Identity (Copywriting, Social Media Content, Visual Identity): About Us, Vision & Mission, Contact & Address
Week 10 AI-Assisted Marketing Content for the Business
Week 11 AI-Assisted Financial Planning & Business Modeling (Budgeting, Cash-Flow Projections)
Week 12 Preparing an AI-Assisted HR, Recruitment & Onboarding Plan for the Student's Venture
Week 13 Preparing an AI-Assisted Marketing and CRM for the Student's Venture
Week 14 Finalizing and Submitting the Term Project Report (submitted as a written report; no in-class presentation or demo)
Week 15 General Review

Reference Books & Course Materials

No reference books have been listed.

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 1- To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources including current information in the field of Accounting and Finance.
  2. P02 2- To be able to use advanced theoretical and practical knowledge acquired in the field of Accounting and Finance.
  3. P03 3- To be able to interpret and evaluate data, identify problems, analyze and develop solutions based on research and evidence by using advanced knowledge and skills acquired in the field of Accounting and Finance.
  4. P04 4- To be able to take responsibility as an individual and a team member in order to solve complex and unpredictable problems in accounting and finance applications.
  5. P05 5- To be able to plan and manage activities for the development of employees under the responsibility of a project.
  6. P06 6- To be able to determine the learning requirements in the field of Accounting and Finance and to direct their learning.
  7. P07 7- To be able to inform people and institutions about issues related to the field of accounting and finance, and to be able to transfer their ideas and solution proposals in writing and orally.
  8. P08 8- To be able to use information and communication technologies together with computer software at the European Computer Driving License Advanced Level required by the field of Accounting and Finance.
  9. P09 9- To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the results related to the field of accounting and finance.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.