Language of instruction: |
English |
Type of course: |
Non-Departmental Elective |
Course Level: |
Bachelor’s Degree (First Cycle)
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Mode of Delivery: |
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Course Coordinator : |
Assoc. Prof. SAEID KARAMZADEH |
Course Lecturer(s): |
Assoc. Prof. ALKAN SOYSAL
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Recommended Optional Program Components: |
none.......... |
Course Objectives: |
The aim of this course is to understand, in detail, basic information theory and coding theory arguments. Information theoretic analysis covers entropy/mutual information, source and channel coding. Coding theory analysis covers code construction, linear codes, cyclic and convolutional codes, near capacity codes. |
Week |
Subject |
Related Preparation |
1) |
Introduction to basic concepts of information transfer |
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2) |
Define concepts of entropy, relative entropy, conditional entropy |
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3) |
Definition of mutual information and its calculation for different scenarios. |
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4) |
Source coding theorem |
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5) |
Applications of source coding theorem: Shannon codes, Huffman codes |
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6) |
Channel coding theorem |
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7) |
Differential entropy |
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8) |
Capacity calculations for different channel models. Midterm |
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9) |
The Gaussian channel and its capacity |
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10) |
Basics of code construction, Error detection and correction |
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11) |
Linear block codes |
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12) |
Cyclic codes |
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13) |
Convolutional codes |
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14) |
Near capacity codes |
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Program Outcomes |
Level of Contribution |
1) |
Build up a body of knowledge in mathematics, science and Mechatronics Engineering subjects; use theoretical and applied information in these areas to model and solve complex engineering problems. |
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2) |
Identify, formulate, and solve complex Mechatronics Engineering problems; select and apply proper modeling and analysis methods for this purpose. |
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3) |
Design complex Mechatronic systems, processes, devices or products under realistic constraints and conditions, in such a way as to meet the desired result; apply modern design methods for this purpose. |
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4) |
Devise, select, and use modern techniques and tools needed for solving complex problems in Mechatronics Engineering practice; employ information technologies effectively. |
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5) |
Design and conduct numerical or pysical experiments, collect data, analyze and interpret results for investigating the complex problems specific to Mechatronics Engineering. |
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6) |
Cooperate efficiently in intra-disciplinary and multi-disciplinary teams; and show self-reliance when working on Mechatronics-related problems. |
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7) |
Ability to communicate effectively in English and Turkish (if he/she is a Turkish citizen), both orally and in writing. Write and understand reports, prepare design and production reports, deliver effective presentations, give and receive clear and understandable instructions. |
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8) |
Recognize the need for life-long learning; show ability to access information, to follow developments in science and technology, and to continuously educate oneself. |
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9) |
Develop an awareness of professional and ethical responsibility, and behave accordingly. Be informed about the standards used in Mechatronics Engineering applications. |
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10) |
Learn about business life practices such as project management, risk management, and change management; develop an awareness of entrepreneurship, innovation, and sustainable development. |
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11) |
Acquire knowledge about the effects of practices of Mechatronics Engineering on health, environment, security in universal and social scope, and the contemporary problems of Mechatronics engineering; is aware of the legal consequences of Mechatronics engineering solutions. |
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