Course Name Code Semester T+U Hours Credit ECTS
The Applications Of Digital Signal Processing MEK 534 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi AHMET KARACA
Course Lecturers
Course Assistants
Course Category Field Proper Education
Course Objective

To learn the concepts of ADC and DAC, To be able to produce analog signals with microcontrollers, To learn the concepts related to digital filtering and to be able to design digital filters, To apply digital filters with microcontrollers, To realize discrete time block diagrams with microcontrollers.

Course Content

To learn ADC and DAC concepts and operation,

Sampling of analog signals,
Sampling Theory,

Digital filtering, the differences between digital filters and analog filters,  FIR and IIR digital filter structures, design of digital filters, coding of digital filters and implementation with microcontrollers

# Course Learning Outcomes Teaching Methods Assessment Methods
1 To know A / D and D / A operations Lecture, Demonstration, Project Based Learning, Testing, Project / Design,
2 To know Sampling Theorem Lecture, Demonstration, Project Based Learning, Testing, Project / Design,
3 To know numerical filtering concepts Lecture, Project Based Learning, Testing, Project / Design,
4 To design digital filter and can be implemented with microcontrollers Demonstration, Project Based Learning, Testing, Project / Design,
5 To implement discrete-time block diagrams with microcontrollers Lecture, Demonstration, Project Based Learning, Testing, Project / Design,
Week Course Topics Preliminary Preparation
1 Digital signal processing systems and analog systems
2 Structure of ADC and DAC, A / D and D / A operations
3 Sampling theory
4 Design of antialising and reconstruction filter
5 Programming with microcontroller
6 Production of analog signals with microcontrollers
7 Signal generation applications
8 fixed point and floating point
9 Digiltal filtering
10 FIR filter construction and coding
11 IIR filter structures and coding
12 FIR and IIR filter applications
13 İmplementation of discrete-time block diagrams with microcontrollers
14 PID controller application
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering X
3 Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
4 Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise X
5 Ability to complete and implement "limited or incomplete data" by using the scientific methods.
6 Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them
7 Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process
8 Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process
9 Gain high level ability to define the required information and data
10 Aware of new and developing application of profession and ability to analyze and study on those applications
11 Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment
12 At least be capable of oral and written communication in a foreign language
13 Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
14 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
15 Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering
Evaluation System
Semester Studies Contribution Rate
1. Performans Görevi (Uygulama) 30
1. Proje / Tasarım 70
Total 100
1. Final 50
1. Yıl İçinin Başarıya 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Project / Design 1 40 40
Performance Task (Application) 1 10 10
Final examination 1 1 1
Total Workload 147
Total Workload / 25 (Hours) 5.88
dersAKTSKredisi 6