Pamukkale University
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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
INTERNATIONAL TRADE AND FINANCE DEPARTMENT
237 INTERNATIONAL TRADE AND FINANCE
Course Information
Course Learning Outcomes
Course's Contribution To Program
ECTS Workload
Course Details
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COURSE INFORMATION
Course Code
Course Title
L+P Hour
Semester
ECTS
UTFB 332
TRANSFORMATIONS AND ARTIFICIAL INTELLIGENCE TECHNIQUES
3 + 0
8th Semester
5
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
Technology is developing rapidly in businesses. Industry 4.0, 5.0, big data, fuzzy logic, artificial intelligence, augmented reality applications and innovation approaches have begun to form the main agenda of businesses. This course aims to increase awareness and skills about technological transformations and artificial intelligence techniques by transferring basic information about these issues.
Course Content
The content of this course consists of technological transformations, digitalization of enterprises, competitive advantage with innovation, artificial intelligence and fuzzy logic applications and their effects on business activities.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Technological change
2
Business interaction of technological change
3
Business achievement in the digital age
4
Artificial intelligence in business applications
5
Business benefits of big data and analytics
COURSE'S CONTRIBUTION TO PROGRAM
Data not found.
ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities
Quantity
Duration (Hour)
Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)
14
3
42
Hours for off-the-classroom study (Pre-study, practice)
14
5
70
Mid-terms
1
7
7
Final examination
1
11
11
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
Select Year
All Years
2021-2022 Spring
Course Term
No
Instructors
Details
2021-2022 Spring
1
İRFAN ERTUĞRUL
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Course Details
Course Code
Course Title
L+P Hour
Course Code
Language Of Instruction
Course Semester
UTFB 332
TRANSFORMATIONS AND ARTIFICIAL INTELLIGENCE TECHNIQUES
3 + 0
1
Turkish
2021-2022 Spring
Course Coordinator
E-Mail
Phone Number
Course Location
Attendance
Prof. Dr. İRFAN ERTUĞRUL
iertugrul@pau.edu.tr
İİBF A0011 İİBF C0013
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Goals
Technology is developing rapidly in businesses. Industry 4.0, 5.0, big data, fuzzy logic, artificial intelligence, augmented reality applications and innovation approaches have begun to form the main agenda of businesses. This course aims to increase awareness and skills about technological transformations and artificial intelligence techniques by transferring basic information about these issues.
Content
The content of this course consists of technological transformations, digitalization of enterprises, competitive advantage with innovation, artificial intelligence and fuzzy logic applications and their effects on business activities.
Topics
Weeks
Topics
1
g
2
r
3
r
4
r
5
r
6
r
7
r
8
r
9
r
10
r
11
r
12
r
13
r
14
r
Materials
Materials are not specified.
Resources
Course Assessment
Assesment Methods
Percentage (%)
Assesment Methods Title
Final Exam
60
Final Exam
Midterm Exam
40
Midterm Exam
L+P:
Lecture and Practice
PQ:
Program Learning Outcomes
LO:
Course Learning Outcomes
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Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes