YBS609


Course Title Course Code Program Level
AI IN MANAGEMENT YBS609 Management Information Systems (Doctorate) M.A / M.Sc.

Course Term
(Course Semester)
Teaching and Learning Methods
Credits
Theory Practice Lab Projects/Field Work Seminars/Workshops Other Total Credits ECTS Credits
01
(Fall)
42 58 100 3 8

Teaching Staff Prof. Dr.Aral.EGE
Language of Instruction Türkçe (Turkish)
Type Of Course Elective
Prerequisites
Recommended Optional Programme Component There are no additional considerations.
Course Objectives It is aimed to introduce and use Artificial Intelligence algorithms.
Course Content The theoretical and practical bases of artificial intelligence, which is gaining importance today, will be examined.
Learning Outcomes (LO) Various artificial intelligence algorithms, Python language and related parts of its libraries.
Mode of Delivery Face to face
Course Outline
Week Topics
1. Week Giving information about the general structure of the course and explaining what is expected
2. Week Artificial intelligence in business systems
3. Week Classification of algorithms used in artificial intelligence systems
4. Week Watson system architecture
5. Week Python and programming environments
6. Week Introduction to machine learning
7. Week Machine learning elements
8. Week Example application I
9. Week Example application II
10. Week Regression
11. Week Linear regression models
12. Week Other regression models
13. Week Support Vector Machines
14. Week decision trees
Assessment
  Percentage(%)
Mid-term (%) 40
Quizes (%)
Homeworks/Term papers (%) 20
Practice (%)
Labs (%)
Projects/Field Work (%)
Seminars/Workshops (%)
Final (%) 40
Other (%)
Total(%) 100
Course Book (s) and/or References Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurelien Geron
Work Placement(s)
The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO)
 

PQ1

PQ2

PQ3

PQ4

PQ5

PQ6

PQ7

PQ8

PQ9

PQ10

PQ11

PQ12

PQ13

PQ14

LO1

5

 

3

2

 

2

5

 

 

 

 

 

 

 

LO2

5

 

 

 

 

 

 

 

 

 

 

2

 

 

LO3

5

 

 

 

 

 

 

 

1

 

 

 

 

 

LO4

5

 

 

4

 

 

 

3

 

 

 

 

 

 

* Contribution Level : 1 Very low    2 Low     3 Medium     4 High      5 Very High