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FIRST CYCLE - BACHELOR'S DEGREE
FACULTY OF ECONOMICS & ADMINISTRATIVE SCIENCES
MANAGEMENT INFORMATION SYSTEMS DEPARTMENT
220 MANAGEMENT INFORMATION SYSTEMS (Evening Classes))
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
CENG 420
MACHINE LEARNING & PATTERN RECOGNITION
3 + 0
7th Semester
5
COURSE DESCRIPTION
Course Level
Bachelor's Degree
Course Type
Elective
Course Objective
Purpose of this course is to teach fundamental concepts of machine learning and pattern recognition.
Course Content
Introduction to machine learning, supervised learning, regression, model order and generalization properties, Bayes decision theory, maximum likelihood method, distance functions, multivariable models and regression, dimensionality reduction and principal component analysis, k-means clustering, decision trees, support vector machines, artificial neural networks and hidden Markov models.
Prerequisites
No the prerequisite of lesson.
Corequisite
No the corequisite of lesson.
Mode of Delivery
Face to Face
COURSE LEARNING OUTCOMES
1
Lists basic pattern recognition concepts
2
Explains statistical methods
3
Explains linear methods
4
Explains nonlinear methods
COURSE'S CONTRIBUTION TO PROGRAM
PO 01
PO 02
PO 03
PO 04
PO 05
PO 06
PO 07
PO 08
PO 09
PO 10
PO 11
PO 12
LO 001
1
2
1
1
2
1
2
1
5
4
2
3
LO 002
2
1
2
2
1
2
1
4
4
5
2
2
LO 003
2
1
2
5
4
1
2
5
4
3
2
5
LO 004
2
1
2
4
2
3
2
5
4
2
5
5
Sub Total
7
5
7
12
9
7
7
15
17
14
11
15
Contribution
2
1
2
3
2
2
2
4
4
4
3
4
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
3
42
Assignments
4
4
16
Mid-terms
1
10
10
Final examination
1
20
20
Total Work Load
ECTS Credit of the Course
130
5
COURSE DETAILS
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This course is not available in selected semester.
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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