BİLGİ PAKETİ / DERS KATALOĞU
1410002026 Real-Time Programming
Degree Programs
COMPUTER ENGINEERING
Diploma SupplementNational Qualifications
COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1410002026
Ders İsmi: Real-Time Programming
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 5
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Bölüm Seçmeli
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi Recep DURANAY
Course Lecturer(s):
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: It aims to develop students programming tools and techniques in real-time/embedded systems on modern boards (Texas Instruments EvalBOT, Zoom OMAP-L138 EVM/Experimenter Development Kit, ARM NXP LPC1768 Development Board). This course aims to provide skills in designing/implementing/debugging real-time embedded systems through a series of laboratory exercises.
Course Content: Input/output programming, circular programs, real-time principles (multitasking, job allocation, synchronization), real-time kernels, DSPLink, DSPBIOS, RTAI, uCOS-III, MDK-ARM, and RTX.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Sufficient knowledge of real-time concepts.
2 - Skills
Cognitive - Practical
1) Ability to write real-time embedded system applications.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) The ability to debug/verify/hardware emulate real-time embedded systems.
2) 4)Teamwork
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) BACKGROUND/FRONT SYSTEMS AND REAL-TIME OPERATING SYSTEMS, REAL-TIME OPERATING SYSTEMS Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
2) CRITICAL SECTIONS OF THE CODE, RESOURCE SHARING, MULTITASKING, TASKS, CONTENT MODIFICATION Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
3) TYPES OF KERNELS, SCHEDULER, PRIORITY, NON-PRIORITY BEES Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
4) REENTRANT FUNCTIONS Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
5) ROUND-ROBIN SCHEDULER, TASK PRIORITIES, STATIC/DYNAMIC PRIORITIES, PRIORITY REVERSIBILITY, PRIORITY HERITAGE Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
6) MUTUAL EXCLUSION, SEMAPHORIES, DAD OFF, SYNCHRONIZATION Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
7) INTER-PROCESS COMMUNICATION Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
8) Midterm
9) INTERRUPTIONS, INTERRUPT DELAY/RESPONSE/RECOVERY, ISR PROCESSING TIME, NON-MASKABLE INTERRUPTIONS, IMPACT Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
10) MEMORY REQUIREMENTS, ADVANTAGES/DISadvantages of REAL-TIME NUTS Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
11) OMAP-L138 EVM/EXPERIMENTER KIT İLE GÖMÜLÜ SİSTEM PROGRAMLAMA, OMAPL138 SOM Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
12) OMAP-L138 EVM/EXPERIMENTER KIT İLE GÖMÜLÜ SİSTEM PROGRAMLAMA, OMAPL138 SOM Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
13) DSP/BIOS, AUDIO PROCESSING Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
14) DSP/BIOS, AUDIO PROCESSING Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
15) OTHER RTOS: MDK-ARM, RTX, RTA Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
16) Final

Sources

Course Notes / Textbooks: Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel
References: Jean J Labrosse, Micrium’s uC/OS-III: The Real-Time Kernel

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4
Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications 5
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 5 % 5
Homework Assignments 5 % 25
Midterms 1 % 30
Semester Final Exam 2 % 40
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Study Hours Out of Class 35 35 1225
Midterms 1 2 2
Final 1 0 0
Total Workload 1269