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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Faculty of Economics and Administrative Sciences
  2. Department of International Trade and Logistics
  3. Course Structure Diagram with Credits
  4. Business Analytics and Artificial Intelligence
  5. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
  • Learning Outcomes & Program Qualifications
Last Updated: 03/09/2025

Code - Course Title Compulsory/Elective Laboratory + Practice ECTS
UTL405 - Business Analytics and Artificial Intelligence VII. SEMESTER 3 +0 5.0
Language of Instruction İngilizce
Course Type Required Courses
Course Instructor(s) PROF. DR. NURAY TOKGÖZ
Mode of Delivery The mode of delivery of this course is face to face
Place of Delivery
Used Educational Platforms
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Resources
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Artificial Intelligence: Historical Perspective
Week - 2 Learning from Data: Understanding Data, Types, and Sources
Week - 3 Introduction to Machine Learning
Week - 4 Descriptive Models in Machine Learning
Week - 5 Predictive Models in Machine Learning
Week - 6 Introduction to Deep Learning
Week - 7 Generative Artificial Intelligence
Week - 8 Natural Language Processing
Week - 9 Artificial Intelligence Applications in Business
Week - 10 Artificial Intelligence Ethics
Week - 11 Developing Artificial Intelligence Strategy
Week - 12 Implementing Artificial Intelligence Solutions in Business
Week - 13 Case Studies
Week - 14 Case Studies

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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