THL - BAU

THL Resources

University

Al-Balqa Applied University

Targeted Groups

Undergraduate students in various levels of the Faculty of Engineering (Computer and Electrical Eng), and Faculty of Agricultural Technology (Smart Agri).

THL Components

10 Arduino Mega Kits

  • Motion Sensor Module, Quantity (4)
  • BREADBOARD WIRES 65PCS, Quantity (4)
  • MINI SERVO MOTOR SG90 9G, Quantity (4)
  • Relay Module 1 channel, Quantity (4)
  • Ultrasonic Sensor HC-SR04 , Quantity (4)
  • Breadboard  830 tie-point, Quantity (4)
  • Transistor 2n2222  (NPN) , Quantity (8)
  • Transistor 2n3906   (PNP) , Quantity (8)
  • Diode (1n4001) , Quantity (20)
  • Buzzer 5V, Quantity (4)
  • LED 5mm Red, Quantity (20)
  • LED 5mm Blue, Quantity (20)
  • LED 5mm Green, Quantity (20)
  • LED 5mm Yellow, Quantity (20)
  • RGB led, Quantity (4)
  • Potentiometer 50k ohm, Quantity (4)
  • Potentiometer 10k ohm, Quantity (4)
  • LCD 16x2, Quantity   (4)
  • BREAK AWAY MALE HEADERS, Quantity (4)
  • LM35 TEMPERATURE SENSOR, Quantity (4)
  • Light Sensor LDR(3mm) Sensor, Quantity (4)
  • Resistor 330 ohm, Quantity (40)
  • Resistor 1k ohm, Quantity (20)
  • Resistor 10k ohm, Quantity (20)
  • Push Button 4 pin, Quantity (20)
  • 10K OHM POTENTIOMETER / TRIMPOTS, Quantity (4)
  • Wires  Female - Male, Quantity (4)

10 ESP32 Dev V1 Wifi Bluetooth Networking

  • Motion Sensor Module, Quantity (4)
  • BREADBOARD WIRES 65PCS, Quantity (4)
  • MINI SERVO MOTOR SG90 9G, Quantity (4)
  • Relay Module 1 channel, Quantity (4)
  • Ultrasonic Sensor HC-SR04 , Quantity (4)
  • Breadboard  830 tie-point, Quantity (4)
  • Transistor 2n2222  (NPN) , Quantity (8)
  • Transistor 2n3906   (PNP) , Quantity (8)
  • Diode (1n4001) , Quantity (20)
  • Buzzer 5V, Quantity (4)
  • LED 5mm Red, Quantity (20)
  • LED 5mm Blue, Quantity (20)
  • LED 5mm Green, Quantity (20)
  • LED 5mm Yellow, Quantity (20)
  • RGB led, Quantity (4)
  • Potentiometer 50k ohm, Quantity (4)
  • Potentiometer 10k ohm, Quantity (4)
  • LCD 16x2, Quantity   (4)
  • BREAK AWAY MALE HEADERS, Quantity (4)
  • LM35 TEMPERATURE SENSOR, Quantity (4)
  • Light Sensor LDR(3mm) Sensor, Quantity (4)
  • Resistor 330 ohm, Quantity (40)
  • Resistor 1k ohm, Quantity (20)
  • Resistor 10k ohm, Quantity (20)
  • Push Button 4 pin, Quantity (20)
  • 10K OHM POTENTIOMETER / TRIMPOTS, Quantity (4)
  • Wires  Female - Male, Quantity (4)

20 Arduino Uno Kit

  • Motion Sensor Module, Quantity (15)
  • BREADBOARD WIRES 65PCS, Quantity (15)
  • MINI SERVO MOTOR SG90 9G, Quantity (15)
  • Relay Module 1 channel, Quantity (15)
  • Ultrasonic Sensor HC-SR04 , Quantity (15)
  • Breadboard  830 tie-point, Quantity (15)
  • Transistor 2n2222  (NPN) , Quantity (30)
  • Transistor 2n3906   (PNP) , Quantity (30)
  • Diode (1n4001) , Quantity (75)
  • Buzzer 5V, Quantity (15)
  • LED 5mm Red, Quantity (75)
  • LED 5mm Blue, Quantity (75)
  • LED 5mm Green, Quantity (75)
  • LED 5mm Yellow, Quantity (75)
  • RGB led, Quantity (15)
  • Potentiometer 50k ohm, Quantity (15)
  • Potentiometer 10k ohm, Quantity (15)
  • LCD 16x2, Quantity   (15)
  • BREAK AWAY MALE HEADERS, Quantity (15)
  • LM35 TEMPERATURE SENSOR, Quantity (15)
  • Light Sensor LDR(3mm) Sensor, Quantity (15)
  • Resistor 330 ohm, Quantity (150)
  • Resistor 1k ohm, Quantity (75)
  • Resistor 10k ohm, Quantity (75)
  • Push Button 4 pin, Quantity (75)
  • 10K OHM POTENTIOMETER /TRIMPOTS, Quantity (15)
  • Wires  Female - Male, Quantity (15)

5 RASPBERRY PI 5 4GB KIT

Training Material

Instructions

Engaging in the construction and coding of diverse physical projects provides students with opportunities to explore coding, sensors, and different components, acquiring practical skills within real-world applications. Once students have a grasp of Arduino controllers, they can advance to working with more sophisticated controllers.

View training materials

Curriculum

Link to the existing and planned curriculum and/or experiment categories:

  • Internet of Things (IoT) Lab
  • Electronics Circuit and Devices Lab
  • Instrumentation and Control
  • Artificial intelligent in Agriculture 

Adapted courses which take advantage of RL/THL equipment (Current update)

No

Course Number

Plan

Bachelor

Using/Upgrading

No of Student

No of Academic 

1

30801348

Multimedia

Virtual Reality 

Upgrade to Utilize RL

158

4

2

30801361

Cloud Computing

Virtual Reality 

Upgrade to Utilize RL

3

30801428

Robots and Automated Systems

Virtual Reality 

Using THL

4

30801347

Image possessing

Virtual Reality 

Using THL

5

30801325

Embedded Systems Design and Organization

Virtual Reality 

Using THL

6

ELE0213

Digital Logic Design

Electrical Engineering

Upgrade to Utilize RL

1323

30

7

ELE3476

Microcontrollers and Embedded Systems

Electrical Engineering

Using THL

8

ELE5361

Computer Architecture and Organization

Electrical Engineering

Upgrade to Utilize RL

9

ELE5461

Embedded System

Electrical Engineering

Using THL

10

ELE6472

Cyber Security Principles

Electrical Engineering

Upgrade to Utilize RL

11

30106543

Computer and Network forensic

Cyber security

Upgrade to Utilize RL

357

8

12

30106442

Modern Encryption

Artificial intelligence and Robotics

Using THL

267

7

13

AI331

Embedded Systems

Artificial intelligence and Robotics

Using THL

14

AI352

System and Auto Robotics 

Artificial intelligence and Robotics

Using THL

15

AOT 353

Application Internet of things in Organic Smart Agriculture

Organic Smart Agriculture

Using THL

110

3

 

TOTAL

2215

52

Students Trained

Status Update, Training of students (examples of trainings done, ToT, workshops, ....)

Graduate Projects Courses, Several orientation sessions performed prior to the start of classes to introduce you to RL4Eng resources availed.

Most significant value created by having students use your lab experiments

Engaging in the construction and coding of diverse physical projects provides students with opportunities to explore coding, sensors, and different components, acquiring practical skills within real-world applications. Once students have a grasp of Arduino controllers, they can advance to working with more sophisticated controllers.

Students Feedback

Pre-Survey for Take Home Labs (THLs) Post-Survey for Take Home Labs (THLs)

Instructors/staff Feedback

Didactical needs

  • Structured and Guided Learning, Providing clear instructions and systematic lab sheets ensures that students can complete tasks independently at home without instructor supervision. Integrating theoretical concepts with hands-on applications fosters a holistic understanding of the subject matter.
  • Providing self-paced learning materials (tutorials, project examples, troubleshooting guides) supports independent learning.
  • Effective Assessment and Engagement Strategies, evaluation criteria help students understand grading expectations and track their progress.

Obstacles or limitations

  • Hardware and Software Challenges, hardware issues due to broken or damaged components, Software compatibility as ensuring smooth operation across various student devices is challenging. Limited access to physical hardware.
  • Connectivity and Instructor Support Issues, Network limitations can restrict IoT projects that require cloud communication or remote monitoring, Lack of real-time instructor support.
  • Logistical and Assessment Challenges, Managing high enrollment numbers, Tracking individual contributions.

Lessons Learned

  • Bridging Theory and Practice Enhances Learning, THLs that incorporate real-world projects, such as IoT devices, automation, and environmental monitoring, help students move beyond theoretical knowledge.
  • Student Autonomy and Support Mechanisms Improve Outcomes, Providing students with autonomy over their projects fosters innovation and motivation. However, structured support systems.
  • Collaboration and Documentation Strengthen Skills Development Encouraging teamwork in THLs enhances creativity and problem-solving capabilities, as students collaborate to develop solutions.
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