To teach fundamentals of machine learning and artificial intelligence and provide students with capability of using this knowledge for pattern recognition.
E. Alpaydın (2011), Yapay Öğrenme, Boğaziçi Üniversitesi Yayınları, ISBN: 9786054238491
A.C.Müller, S.Guido (2016), Introduction to Machine Learning with Python, O’Reilly, ISBN: 9781449369415
Other Sources
Lecture notes & applications
www.veridefteri.com
Course Schedules
Week
Contents
Learning Methods
1. Week
Fundementals of machine learining, working with data and pre-processing
disclosure
2. Week
Python Anaconda distribution, Jupyter usage and introduction to required libraries
disclosure
3. Week
Linear regression and multiple regression
computer aided application
4. Week
kNN, feature selection and classification performance
computer aided application
5. Week
Navie Bayes classification
computer aided application
6. Week
Logistic Regression
computer aided application
7. Week
Support Vector Machines
computer aided application
8. Week
midterm
exam
9. Week
midterm
exam
10. Week
Decision Trees and Ensembling Methods (CART, RF and GBC)
computer aided application
11. Week
Dimension reduction and Principle Component Analysis
computer aided application
12. Week
Homework Presentations
Student presentations
13. Week
Unsupervised Learning and Clustering
computer aided application
14. Week
Deep learning and Artificial Neural Networks-1
computer aided application
15. Week
Deep learning and Artificial Neural Networks-2
computer aided application
16. Week
final
exam
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Homework / Term Projects / Presentations
1
50
Final Exam
1
50
Program Outcomes
PO-1
OP-1. Comprehends both theoretical and applied subjects in international trade at the advanced level, and uses his/her knowledge when necessary.
PO-2
OP-2. Analyses basic concepts and data related to International Trade and Economics by scientific methods, interprets those with analytically, and evaluates those with regard to economic issues.
PO-3
OP-3. Express his/her thoughts, comments and evaluations related to International Trade discipline both in written and oral forms.
PO-4
OP-4. Defines current problems, and proposes solutions which are supported by evidence and research based quantitative and qualitative data.
PO-5
OP-5. Inspects how public and private sector enterprises engaged in trade activities operates in practice, and evaluates the continuities and the dynamism in these sectors.
PO-6
OP-6. Defines and tracks local, regional (such as European Union or Middle East) and global issues from the point of political economics, and relates these issues to each other.
PO-7
OP-7. Possesses sufficient knowledge in other disciplines related to International Trade (such as Economics, Finance, International Business and Law), and reports this information.
PO-8
OP-8. Follows publications and research in International Trade, Globalisation and Financial Systems in the English language, and communicates with his/her colleagues internationally.
PO-9
OP-9. Uses a second language (Russian, Chinese, etc.) at the intermediate level.
PO-10
OP-10. Possesses ethical principles and scientific values in collection, interpretation and release of data.
