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) |
- Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. |
2 |
2) |
Use of advanced theoretical and practical knowledge within the field.
-Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. |
4 |
3) |
Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field.
- Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data.
-Organize and implement project and activities for social environment with a sense of social responsibility.
-Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level.
-Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
5 |
4) |
Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach.
-Determine learning needs and direct the learning.
-Develop positive attitude towards lifelong learning. |
3 |
5) |
Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field.
- Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. |
3 |
6) |
Conduct studies at an advanced level in the field independently.
- Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field.
- Planning and managing activities towards the development of subordinates in the framework of a project |
3 |