Week |
Subject |
Related Preparation |
1) |
General model for a digital communication system |
|
2) |
Source and channel coding |
|
3) |
Signal Space Representation |
|
4) |
Digital modulation schemes, M-QAM |
|
5) |
Performance considerations, Bandwidth considerations, Practical considerations |
|
6) |
(Phase) noncoherent detection principles |
|
7) |
Differential detection, System constraints and trade-offs |
|
8) |
Comparison and discussion of previously mentioned methods.
Midterm exam. |
|
9) |
General Concepts of Detection Theory, Bayesian Decision Theory |
|
10) |
The Likelihood Ratio Test and Its applications |
|
11) |
Optimal binary detection for the Gaussian vector channel |
|
12) |
Optimal detection for M-ary hypothesis tests |
|
13) |
BER calculations |
|
14) |
Introduction to fading channels |
|
|
Program Outcomes |
Level of Contribution |
1) |
Having the theoretical and practical knowledge proficiency in the discipline of industrial product design |
|
2) |
Applying professional knowledge to the fields of product, service and experience design development |
|
3) |
Understanding, using, interpreting and evaluating the design concepts, knowledge and language |
|
4) |
Knowing the research methods in the discipline of industrial product design, collecting information with these methods, interpreting and applying the collected knowledge |
|
5) |
Identifying the problems of industrial product design, evaluating the conditions and requirements of problems, producing proposals of solutions to them |
|
6) |
Developing the solutions with the consideration of social, cultural, environmental, economic and humanistic values; being sensitive to personal differences and ability levels |
|
7) |
Having the ability of communicating the knowledge about design concepts and solutions through written, oral and visual methods |
|
8) |
To identify and apply the relation among material, form giving, detailing, maintenance and manufacturing methods of design solutions |
|
9) |
Using the computer aided information and communication technologies for the expression of industrial product design solutions and applications |
|
10) |
Having the knowledge and methods in disciplines like management, engineering, psychology, ergonomics, visual communication which support the solutions of industrial product design; having the ability of searching, acquiring and using the knowledge that belong these disciplines when necessary. |
|
11) |
Using a foreign language to command the jargon of industrial product design and communicate with the colleagues from different cultures |
|
12) |
Following and evaluating the new topics and trends that industrial product design needs to integrate according to technological and scientific developments |
|