Week |
Subject |
Related Preparation |
1) |
Introduction to Machine Learning |
- |
2) |
Dataset preparation, Feature extraction, Evaluation and Comparing |
Reference Book |
3) |
Classification methods - K-NN |
" |
4) |
Classification methods - Naive Bayes Classificaion, Bayesian networks |
" |
5) |
Classification methods - Linear regression |
" |
6) |
Classification methods - Decision trees |
" |
6) |
Classification methods - Decision trees |
" |
7) |
Classification methods - Support Vector Machines |
" |
8) |
Midterm |
Lecture notes, reference books |
9) |
Clusturing Methods - K-means |
" |
10) |
Clusturing Methods - Hierarchical Clustering |
" |
11) |
Feature Selection Methods |
" |
12) |
Dimension reduction methods |
" |
13) |
Neural Networks |
" |
14) |
Project Presentation |
- |
15) |
Final Exam |
Lecture notes, books, exercises |
|
Program Outcomes |
Level of Contribution |
1) |
Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems. |
|
2) |
The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modelling methods for this purpose. |
|
3) |
The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. |
|
4) |
Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively. |
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5) |
Ability to design experiments, conduct experiments, collect data, analyse and interpret the results of complex engineering problems or discipline-specific research topics. |
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6) |
Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi. |
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7) |
Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal. |
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8) |
Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive. |
|
9) |
Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications. |
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10) |
Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development. |
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11) |
Information on the effects of engineering applications on health, environment, and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions. |
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12) |
Adequate skills in the analysis, design, verification, evaluation, implementation, implementation, and maintenance of software systems |
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