GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
INTRODUCTION TO MACHINE LEARNING (TECH. ELECT.)/BM476
Course Title: INTRODUCTION TO MACHINE LEARNING (TECH. ELECT.)
Credits 3 ECTS 6
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To be able to choose the most appropriate machine learning method for a given problem and data set
To develop a computer program for solving a problem
To be able to evaluate results
 -- MODE OF DELIVERY
  The mode of delivery of this course is face to face.
 --WEEKLY SCHEDULE
1. Week  Introduction to machine learning
2. Week  The concept of learning
3. Week  Decision Tree
4. Week  Genetic algorithm
5. Week  Genetic algorithm and programming
6. Week  Genetic algorithm project
7. Week  Bayesian learning
8. Week  Artificial neural networks
9. Week  Artificial neural networks
10. Week  Artificial neural networks project
11. Week  Support vector machine
12. Week  Evaluation of learning algorithms, comparison
13. Week  Unsupervised learning
14. Week  Project presentation
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
0
0
 Projects
3
30
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
8
4
32
 Searching in Internet and Library
9
4
36
 Material Design and Implementation
12
1
12
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
1
13
13
 Final Exam and Preperation for Final Exam
1
15
15
 Other (should be emphasized)
0
0
0
 TOTAL WORKLOAD: 
150
 TOTAL WORKLOAD / 25: 
6
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Sufficient knowledge on mathematics, science and computer engineering; ability to apply theoretical and practical knowledge in these areas to model and solve complex engineering problemsX
2Ability to identify, define, formulate and solve complex engineering problems; ability to choose and apply appropriate analysis and modelling methods for these purposesX
3Ability to design a complex system, process, device, software, algorithm, or product under realistic constraints and circumstances to meet certain requirements; ability to apply modern design techniques for this purposeX
4Ability to choose, develop and use modern techniques and tools necessary for engineering applications; ability to effectively use computing technologiesX
5Ability to design and implement systems or experiments to solve complex engineering problems or investigate research topics in computer engineering; collect and interpret data to evaluate and analyze the results of solutionsX
6Ability to work effectively in intradisciplinary and interdisciplinary teams or individuallyX
7Ability to efficiently prepare, evaluate and interpret reports; ability to generate design and production reportsX
8Ability to make presentations, conduct effective verbal and written communication, and give clear directions in Turkish and EnglishX
9Awareness of the necessity of lifelong learning; ability to access information, follow scientific and technological developments; ability to perpetually renew oneselfX
10Awareness of professional and ethical responsibility, ability to act in accordance with ethical principlesX
11Ability to apply knowledge on project management, risk management and change managementX
12Awareness of entrepreneurship, innovation, and sustainable developmentX
13Ability to devise local and global solutions to contemporary issues considering the effects of engineering applications on health, environment and securityX
14Awareness of the legal consequences of engineering solutionsX
15Ability to apply knowledge on software development process and documentation rulesX
16Knowledge on standards used in engineering applicationsX
17Awareness of occupational health and safety, information security and privacyX
 -- NAME OF LECTURER(S)
   (Doç. Dr. Oktay YILDIZ)
 -- WEB SITE(S) OF LECTURER(S)
   (w3.gazi.edu.tr/~oyildiz/)
 -- EMAIL(S) OF LECTURER(S)
   (oyildiz@gazi.edu.tr)