Computer Programming
Course Details
KTO KARATAY UNIVERSITY
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
Trade and Industry Vocational School
Programme of Computer Programming
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 3841208 | Wired and Wireless Communication Technologies | 2025 | Spring | 4 | 2+2+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Associate (Short Cycle) (TQF-HE: Level 5 / QF-EHEA: Short Cycle / EQF-LLL: Level 5) |
| Course Language | Turkish |
| Methods and Techniques | 1. Theoretical Explanation: The topics are explained theoretically within the scope of the course. Students listen to topic explanations in order to understand the basic concepts of programming and the logic of algorithms. 2. Applied Studies: Students carry out studies with various examples under the mentorship of the course instructor in order to apply the topics explained theoretically. Gains are tried to be achieved. 3. Step-by-Step Solution: The encountered problems are solved step by step and how each step works is explained. With this method, students are provided with a better command of the topics. 4. Real Life Examples: Real life examples and problem scenarios are presented for a better understanding of the topics. In this way, students see how to use what they have learned in practice. 5. Laboratory Sheets and Quizzes: Students' progress is evaluated with weekly laboratory handouts and pre-exam quizzes, and whether the topics are understood is monitored. |
| Mode of Delivery | Face to Face |
| Prerequisites | There are no prerequisites for the course. All students receive instruction starting from the basic level. |
| Coordinator | - |
| Instructor(s) | Lect. Uğur POLAT |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Lect. Uğur POLAT | C-129 | [email protected] | 7860 | Thursday 14:00-16:00 |
Course Content
1. Communication Fundamentals and Wired Protocols in Embedded Systems: Introduction to Communication Systems and ESP32 Architecture (Dual-core architecture, GPIO features, operating frequencies, and RTOS fundamentals)
2. Short and Medium Range Wireless Communication (RFID and NFC Technologies - Checkpoint creation, authentication, and secure data reading for autonomous vehicles).
3. Near Field Communication: Bluetooth and BLE (Bluetooth Low Energy) Architecture (Low-power communication with ESP32, Beacon broadcasts, and mobile device integration).
4. IoT (Internet of Things) and Network Communication: Wi-Fi Communication with ESP32 (Station -STA- and Access Point -AP- modes, local network-based Web Server architectures).
5. IoT Protocols: MQTT Architecture (Publish/Subscribe logic, Broker setup, and reliable data transmission at low bandwidth).
6. Cloud Computing Integration (Sending sensor data to remote servers via APIs, creating JSON data format and IoT interfaces).
7. Long Distance and System Integration: Long Distance Radio Frequency (RF) Communication (V-2V communication systems with LoRa and nRF24L01 modules).
8. Telemetry and Autonomous Vehicle Control (Wireless transmission of sensor data to the central station and processing of remote driving/control commands for all-terrain robots).
9. Integrated System Design and Project Presentations (Combining wired sensor networks with wireless IoT infrastructure in a single hardware configuration).
2. Short and Medium Range Wireless Communication (RFID and NFC Technologies - Checkpoint creation, authentication, and secure data reading for autonomous vehicles).
3. Near Field Communication: Bluetooth and BLE (Bluetooth Low Energy) Architecture (Low-power communication with ESP32, Beacon broadcasts, and mobile device integration).
4. IoT (Internet of Things) and Network Communication: Wi-Fi Communication with ESP32 (Station -STA- and Access Point -AP- modes, local network-based Web Server architectures).
5. IoT Protocols: MQTT Architecture (Publish/Subscribe logic, Broker setup, and reliable data transmission at low bandwidth).
6. Cloud Computing Integration (Sending sensor data to remote servers via APIs, creating JSON data format and IoT interfaces).
7. Long Distance and System Integration: Long Distance Radio Frequency (RF) Communication (V-2V communication systems with LoRa and nRF24L01 modules).
8. Telemetry and Autonomous Vehicle Control (Wireless transmission of sensor data to the central station and processing of remote driving/control commands for all-terrain robots).
9. Integrated System Design and Project Presentations (Combining wired sensor networks with wireless IoT infrastructure in a single hardware configuration).
Objectives of the Course
The aim of this course is not only to familiarize students with fundamental data transmission and signaling principles, but also to equip them with the competence to use current wired and wireless communication protocols (UART, I2C, SPI, Wi-Fi, Bluetooth, RF, etc.) in end-to-end network architectures. Students are expected to design telemetry infrastructures that enable microcontroller-based embedded systems to communicate with each other, with sensor networks, and with the cloud, and to integrate these into autonomous systems.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | X |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | Effectively uses information technologies (software, programs, animations, etc.) related to her/his profession. | 5 |
| P1 | He/she has basic, current and applied information about his/her profession. | 5 |
| P3 | He/She follows current developments and practices in his profession and uses them effectively. | 5 |
| P11 | Creates algorithms and data structures and performs mathematical calculations. | 4 |
| P12 | Explains and applies web programming technologies. | 3 |
| P14 | Tests software and fixes bugs. | 5 |
| P20 | Uses information technologies effectively and efficiently to solve problems encountered in academic and professional life. | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Knows how to develop algorithms and creates a data structure suitable for the algorithm. | P.4.1 | 1,6,7 |
| O2 | Ability to use machine learning methods | P.4.3 | 6 |
| O3 | Have knowledge about current programming languages. | P.4.5 | 1,6,7 |
| O4 | Knows the basic elements of a computer. | P.1.1 | 6,7 |
| O5 | Knows how to use the internet and do research. | P.1.2 | 6 |
| O6 | Must know and use current software development platforms. | P.3.2 | 1,6,7 |
| O7 | Analyzes complex problems and develops solution strategies | P.3.4 | 1,6,7 |
| O8 | Tests software and fixes bugs. | P.5.1 | 1,6,7 |
| O9 | Knows analytical, effective research and solution techniques to identify problems. | P.5.2 | 1,6,7 |
| O10 | Evaluates alternative solutions and selects the most appropriate one. | P.5.3 | 1,6,7 |
| O11 | Evaluate computer science topics and algorithms using critical thinking skills | P.5.4 | 1,6 |
| O12 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | P.11.1 | 1,6,7 |
| O13 | Knows and uses current Information Technology platforms. | P.11.2 | 1,6,7 |
| O14 | Has knowledge of current programming languages. | P.11.3 | 1,6,7 |
| O15 | He/she has knowledge about current technology topics such as Artificial Intelligence, Image Processing, Machine Learning. | P.11.6 | 6,7 |
| O16 | He has knowledge in embedded systems and basic electronics. | P.11.8 | 1,6,7 |
| O17 | Knows and uses Web Programming development platforms. | P.12.2 | 1,6,7 |
| O18 | Tests software and fixes bugs. | P.14.1 | 1,6,7 |
| O19 | Developing the ability to search for information, access information and share information securely using the Internet and web technologies. | P.20.3 | 6,7 |
| O20 | Ability to write simple programs by understanding computer programming and algorithm logic at a basic level. | P.20.5 | 6,7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction to Communication Systems and ESP32 Architecture (Dual-core architecture, GPIO features, operating frequencies, and RTOS fundamentals). |
| 2 | Universal Asynchronous Receiver/Transmitter : UART (basic data packet and communication between computers and other microcontrollers using ESP32). |
| 3 | Synchronous Wired Communication - I: I2C Protocol (Multiple device communication, addressing, IMU/Gyroscope and display integrations). |
| 4 | Synchronous Wired Communication - II: SPI Protocol (High-speed data transfer, SD card modules, and advanced sensor readings) |
| 5 | Sensor Integrations in Autonomous Systems (Combining ultrasonic sensor arrays, motor drivers, and data processing algorithms using wired protocols). |
| 6 | Near Field Communication: RFID and NFC Technologies (Creating checkpoints, authentication, and secure data reading for autonomous vehicles) |
| 7 | Bluetooth and BLE (Bluetooth Low Energy) Architecture (low power communication with ESP32, beacon broadcasting, and mobile device integration) |
| 8 | Mid-term Exam |
| 9 | Wi-Fi Communication with ESP32 (Station -STA- and Access Point -AP- modes, local network-based Web Server architectures) |
| 10 | IoT Protocols: MQTT Architecture (Publish/Subscribe logic, Broker setup, and reliable data transmission at low bandwidth) |
| 11 | Cloud Computing Integration (Sending sensor data to remote servers via APIs, creating JSON data format and IoT interfaces) |
| 12 | Long-Range Radio Frequency (RF) Communication (Vehicle-to-vehicle -V2V- communication systems with LoRa and nRF24L01 modules) |
| 13 | Telemetry and Autonomous Vehicle Control (Wireless transmission of sensor data to the central station and processing of remote driving/control commands for terrain robots) |
| 14 | Integrated System Design and Project Presentations (Combining wired sensor networks and wireless IoT infrastructure in a single hardware configuration) |
Textbook or Material
| Resources | ESP32S DevKit v.1 Datasheet |
| ESP32 DevKit v.1 Pinout |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Field Study | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | - | - |
| Presentation | - | - |
| Projects | 1 | 20 (%) |
| Seminar | - | - |
| Quiz | 2 | 10 (%) |
| Listening | - | - |
| Midterms | 1 | 30 (%) |
| Final Exam | 1 | 40 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 4 | 56 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 2 | 28 |
| Midterms | 1 | 14 | 14 |
| Quiz | 2 | 5 | 10 |
| Homework | 0 | 0 | 0 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 12 | 12 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 150 | ||
| Total Work Load / 30 | 5 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P3 | P4 | P5 | P11 | P12 | P14 | P20 |
|---|---|---|---|---|---|---|---|---|---|
| O1 | Knows the basic elements of a computer. | 3 | - | - | - | - | - | - | - |
| O2 | Knows how to use the internet and do research. | - | 3 | 3 | - | - | - | - | - |
| O3 | Must know and use current software development platforms. | - | 4 | 5 | - | - | - | - | - |
| O4 | Analyzes complex problems and develops solution strategies | - | - | - | 5 | - | - | - | 5 |
| O5 | Knows how to develop algorithms and creates a data structure suitable for the algorithm. | - | - | 4 | - | 5 | - | - | - |
| O6 | Ability to use machine learning methods | - | - | - | - | - | - | - | - |
| O7 | Have knowledge about current programming languages. | 4 | 4 | 4 | - | - | - | - | - |
| O8 | Tests software and fixes bugs. | - | - | - | 4 | - | - | 5 | - |
| O9 | Knows analytical, effective research and solution techniques to identify problems. | - | - | - | 5 | - | - | - | 4 |
| O10 | Evaluates alternative solutions and selects the most appropriate one. | - | - | - | 4 | - | - | - | 4 |
| O11 | Evaluate computer science topics and algorithms using critical thinking skills | - | - | - | 4 | 4 | - | - | - |
| O12 | Knows how to develop algorithms and creates a data structure appropriate to the algorithm. | - | - | 4 | - | 5 | - | - | - |
| O13 | Knows and uses current Information Technology platforms. | - | 5 | 5 | - | - | - | - | - |
| O14 | Has knowledge of current programming languages. | 4 | 4 | 4 | - | - | - | - | - |
| O15 | He/she has knowledge about current technology topics such as Artificial Intelligence, Image Processing, Machine Learning. | - | - | - | - | - | - | - | - |
| O16 | He has knowledge in embedded systems and basic electronics. | 5 | - | 4 | - | - | - | - | 5 |
| O17 | Knows and uses Web Programming development platforms. | - | - | 3 | - | - | 5 | - | - |
| O18 | Tests software and fixes bugs. | - | - | - | 4 | - | - | 5 | - |
| O19 | Developing the ability to search for information, access information and share information securely using the Internet and web technologies. | - | 4 | 4 | - | - | 4 | - | 4 |
| O20 | Ability to write simple programs by understanding computer programming and algorithm logic at a basic level. | 3 | - | - | - | 4 | - | - | - |