Course Name Code Semester T+U Hours Credit ECTS
Microprocessor and Digital Signal Processing Laboratory EEM 473 7 1 + 2 2 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi BURHAN BARAKLI
Course Lecturers Dr.Öğr.Üyesi GÖKÇEN ÇETİNEL, Dr.Öğr.Üyesi BURHAN BARAKLI,
Course Assistants
Course Category Field Proper Education
Course Objective Providing basics of real time applications of control theory & digital filter and interpreting the results
Course Content Modeling, design, simulation, real time application and result interpreting
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Ability of experimental modeling of linear and nonlinear systems Lecture, Question-Answer, Lab / Workshop, Testing, Oral Exam, Homework, Performance Task,
2 Ability of design and simulation of P, PI, PID controller and real time applications Lecture, Question-Answer, Lab / Workshop, Testing, Oral Exam, Homework, Performance Task,
3 An understanding and ability of closed-loop ,open-loop control applications Lecture, Question-Answer, Lab / Workshop, Testing, Oral Exam, Homework, Performance Task,
4 Ability of interpreting of experiments results Lecture, Question-Answer, Lab / Workshop, Testing, Oral Exam, Homework, Performance Task,
5 DSP and Digital filter design Lecture, Lab / Workshop, Testing, Oral Exam, Homework, Performance Task,
Week Course Topics Preliminary Preparation
1 Introduction to laboratory and measurement instrument
2 Introduction to TMS320C6711 DSK and code composer studio (CCS) software
3 Data input and output on TMS320C6711 DSK
4 FIR filter implementation on TMS320C6711 DSK
5 IIR filter implementation on TMS320C6711 DSK
6 FFT implementation on TMS320C6711 DSK
7 Sampling and sampling time selection
8 Non-linear liquid level control
9 Obtaining open-loop transfer function of the DC machine
10 Continuous time position control
11 Discrete time P, PI, PID controllers
12 Discrete time temperature control
13 Discrete time position control
14 Discrete time speed control
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
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. X
2 Ability to identify formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
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. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) X
4 Ability to devise, select, and use modem techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively. X
5 Ability to design and conduct experiments, gather data analyze and interpret results for investigating complex engineering problems or discipline specific research questions. X
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
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.
8 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.
9 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practice on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 25
1. Performans Görevi (Laboratuvar) 35
2. Performans Görevi (Laboratuvar) 35
1. Kısa Sınav 5
Total 100
1. Yıl İçinin Başarıya 70
1. Final 30
1. İş Sağlığı ve Güvenliği 0
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
Mid-terms 1 2 2
Performance Task (Laboratory) 2 7 14
Final examination 1 2 2
Total Workload 114
Total Workload / 25 (Hours) 4.56
dersAKTSKredisi 5