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) |
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. |
|
2) |
Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. |
|
3) |
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose |
|
4) |
Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. |
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5) |
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions. |
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6) |
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually. |
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7) |
Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions. |
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8) |
Knowledge of the global and societal impacts of engineering practices on priority issues such as health, environment and safety and contemporary issues; knowledge of the legal aspects of engineering solutions. awareness of the consequences |
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9) |
Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice. |
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10) |
Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and knowledge about sustainable development. |
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11) |
Ability to design systems to meet desired needs |
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12) |
Ability to apply basic sciences in the field of computer engineering |
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13) |
Ability to implement designs by experiments |
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14) |
Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself. |
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