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This training course provides detailed overview of various aspects of industrial and laboratory safety. Topics include identification and control of physical and chemical hazards, compressed cylinders and regulators, risk assessments, chemical waste disposal, fire risks, and fire fighting.

Course Pre-requisite: None

Date: January 15-16, 2025

Time: 10:00 AM - 1:00 PM

Instructors: Dr. Ahmed Aidan, Mr. Muhammad Qasim, and Ms. Najla Salkho

Location: EB2

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Chemical and Biological Engineering [email protected]

Introduces the basic concepts of Building Information Modeling (BIM); application of commercial BIM software to create and modify building components; dimensioning and 3D visualization.

Course Pre-requisite: CVE 211 or CVE 111

Date: January 13-14, 2025

Time: 9:00 AM - 4:00 PM

Instructors: Mr. Aqeel Ahmed and Mr. Riyad Temam

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Civil Engineering [email protected]

Course Overview

This course introduces the core security concepts and skills needed to monitor, detect, analyze, and respond to cybercrime, cyberespionage, insider threats, advanced persistent threats, regulatory requirements, and other cybersecurity issues facing organizations.
 

Benefits
Gain practical, hands-on skills needed to maintain and ensure security operational readiness of secure networked systems.
Prepare for Careers
Develop skills for entry-level security operations center (SOC) jobs
Prepare for CyberOps Associate certification
Pursue a career in cybersecurity operations, a rapidly-growing, exciting new area that spans all industries

Course Prerequisites: A candidate MUST have completed both CMP310 (Operating Systems) and COE371L (Computer Networks) to be eligible for the CyberOps training.

Date: January 13-16, 2025

Time: 9:00 am - 5:00 pm

Location: Computer Networks Lab (ESB-1032)

Instructor: Mr. Wissam Abou Khreibe

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Computer Science and Engineering [email protected]

Red Hat System Administration I (RH124) is designed for students who are new to Linux and require core Red Hat Enterprise Linux skills. Focused on administration tasks that will be encountered in the workplace, this course will actively engage students in task-focused activities, lab-based knowledge checks, and facilitative discussions to ensure maximum knowledge and skill transfer and retention. By the end of the course, students will be able to perform installation, establish network connectivity, manage physical storage and perform basic security administration. Students will receive an certificate of attendance from Red Hat Academey upon completion of this course.

After done with the course, the student can take the PE124 Exam using his/her own laptop. The exam fees is not covered with the course.

Course Prerequisites: Basic knowledge in Networking and Operating systems

Date: January 13-16, 2025

Time: 9:00 am - 5:00 pm

Location: Cyper Security Lab (EB1-0012)

Instructors: Mr. Sameer Alawnah and Mr. Wissam Abou Khreibe

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Computer Science and Engineering [email protected]

This short course covers essential practical electrical wiring for residential units in UAE, including sockets, lamps, wires, distribution boards, protective devices, compliance with local regulations, and the integration of rooftop grid connected PV systems.

Course Pre-requisite: None

Date: January 26, 2024

Time: 10:00 AM - 4:00 PM

Instructor: Dr. Mostafa Shaaban

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This short course covers the electric vehicle (EV) architectures, EV motor technology, EV powertrain, driving cycles, battery and storage technology, fuel cells in EVs, electric vehicle charging infrastructure, and recent advances in EVs.

Course Pre-requisite: None

Date: January 15, 2024

Time: 10:00 AM - 2:00 PM

Instructor: Dr. Ammar Hasan

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

Our certification program in PCB Design and Development has been meticulously organized to provide participants with comprehensive knowledge of designing tools, process equipment, and manufacturing methods employed in the fabrication of printed circuit boards (PCBs).

Course Pre-requisite: None

Date: January 13-16, 2024

Time: 2:00 PM - 5:00 PM

Location: PCB Manufacturing lab

Instructors: Dr. Madathumpadical Narayanan and Mr. Ibrahim Abu Seif

Fees (Exam/Materials/Supplies): AED 1,000

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This course covers the essentials of solar energy generation, safety measures, system components, and practical installation techniques for both grid-connected and off-grid systems.

Course Pre-requisite: None

Date: January 16, 2025

Time: 10:00 AM - 5:00 PM

Instructor: Dr. Mostafa Shaaban

Fees (Exam/Materials/Supplies): Free for AUS and a fee for non-AUS, will be directed to Rentech

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This workshop gives an introduction to satellite technology, relevant theory, and applications. The attendees will learn about the various satellite subsystems, link budget calculations, and the locating satellites in space. The participants will perform hands-on experiments using small satellite prototypes as well as satellite training kits.

Course Pre-requisite: None

Date: January 13, 2025

Time: 2:00 PM - 5:00 PM

Instructor: Dr. Amer Zakaria 

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This short course covers the type of surface mount devices used for fabricating high density electronic circuit assemblies. The standard procedures followed for assembling the SMD devices manually,  using reflow soldering machines and inspection of the solder joints will be covered. 

Course Pre-requisite: None

Date: January 18-19, 2025

Time: 2:00 PM - 5:00 PM

Location: EPIC Center (EB1-0009)

Instructor: Dr. Narayanan Raghavan and Mr. Ibrahim Abu Seif

Fees (Exam/Materials/Supplies): AED 500

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This course provides a foundational overview of optimization techniques used in engineering, business, and research, with hands-on practice in MATLAB. Participants will learn key concepts like linear and nonlinear optimization, constraints, and solution methods, using practical examples in MATLAB to model and solve real-world problems. 

Course Pre-requisite: None

Date: February 2, 2025

Time: 10:00 AM - 4:00 PM

Instructor: Dr. Mostafa Shaaban

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

The AUS Drone Academy was established to provide training on operating Unmanned Aerial Systems (UAS), focusing on fixed-wing and multirotor drones.

Certifications: The program is endorsed by the Dubai Civil Aviation Authority (DCAA), and successful candidates will receive training certificates necessary for obtaining the mandatory RPAS registration card to operate drones in Dubai and the UAE.

Curriculum and Program Length: The academy offers three training levels: basic (hobbyist), intermediate (commercial), and advanced (government employees). The government-level RPAS training spans five days (50 hours) and includes three parallel modes:

Ground School: Theory and principles of flight, UAS components, communications, air law, meteorology, and UAS procedures.
Simulator: Techniques and motor skills for remotely controlling UAS.
Flight: Practical application of simulator skills, including pre- and post-flight procedures and environmental awareness.
Training Venue and Facilities:

Ground school and simulator training take place at the Drones Academy Lab on the AUS campus.
Field training is conducted at the Al Lisaili RC Flying Field in Dubai.

Course Pre-requisite: None

Date: January 16, 2025

Time: 10:00 AM - 4:00 PM

Location: ESB-0027

Instructor: Mr. Wasil Eltahir
+ 1 from Exponent

Fees (Exam/Materials/Supplies): RPAS Hobbysist: AED 550 (AUS rate)

Click here to register

For more information, contact the Department of Electrical Engineering [email protected]

This course is an introduction to ANSYS Fluent software. Students will learn essential skills needed to perform basic computational fluid dynamics (CFD) simulations including fluid flow and heat transfer, starting from creating a geometry, creating a meshing, applying the boundary conditions, setting up the solver and obtaining the desired results.

Course Pre-requisite: Understanding of fluid mechanics and heat transfer is recommended but not mandatory

Date: November 16-17, 2024

Time: 10:00 am - 3:00 pm

Instructor: Mr. Muhammad Jasim

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

Hands-on workshop to introduce Microcontrollers, digital signal acquisition or generation, pulse width modulation for analog signal generation, sensors, and actuators. During the workshop, an Arduino inventor's kit will be used to implement: 
•    Traffic light
•    Digital switch system
•    Fire alarm system
•    Mobile robot

Course Pre-requisite: Any engineering student with a good background in programming with C and the basics of electric circuits

Date: December 24, 2024

Time: 11:00 am - 4:00 pm

Instructor: Mr. Wasim Almasri

Location: EB2-109

Fees (Exam/Materials/Supplies): There is no fee but the participants should pay 450 AED only for the kit cost, and the student can keep it. (SparkFun Inventor’s Kit – v4.1) 

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

This course is an introduction to LabVIEW, a graphical programming language used to create data acquisition, analysis, and control applications. Students will learn the basics of LabVIEW programming, including data types, dataflow, controls, indicators, and loops. Students will also learn how to use LabVIEW to interface with hardware devices.

Course Pre-requisite: Some programming background

Date: December 23, 2024

Time: 10:00 am - 3:00 pm

Instructor: Mr. Ahmed Elsergany

Location: EB2-103

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Mechanical Engineering [email protected]

The context of FCEV Fuel Cell Electric Vehicles will be briefly introduced where Hydrogen became the future fuel that powered the Evs.

Course Pre-requisite: None

Date: November 19, 2024

Time: 3:00 pm - 5:30 pm

Location: ESB - 1046

Instructor: Khalid Hamarsheh

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

The aim is to introduce sustainable Martian materials that can be effectively used for 3D printing applications on Mars, ultimately facilitating the construction of resilient habitats and infrastructure for future human missions on Mars.

Course Pre-requisite: None

Date: November 23, 2024

Time: 11:00 am - 1:00 pm

Location: ESB - 1007

Instructor: Rand Saleh Al Ezairjawi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Benefits of Healthcare Business Process Re-Engineering

Course Pre-requisite: None

Date: December 2, 2024

Time: 4:00 pm - 5:00 pm

Instructor: Inas Al Khatib

Location: ESB - 1005

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This practical workshop is designed for students and professionals with a foundational knowledge in optimization and coding who wish to enhance their expertise in using the General Algebraic Modeling System (GAMS) and MATLAB. Over the course of 2 days, participants will learn to proficiently use GAMS for formulating and solving optimization problems, gaining insights into model development and scenario analysis. With a special focus on its integration with MATLAB the workshop will cover methods to enhance GAMS models by incorporating MATLAB functionalities, enabling advanced data handling, sensitivity analysis, and graphical representations. Through hands-on exercises and real-case scenarios, attendees will apply learned concepts to actual problems, interpret outputs and insights. It is essential for participants to bring a laptop to engage fully in the workshop activities.

Course Pre-requisite: None

Date: December 10, 2024

Time: 11:00 am - 3:00 pm

Location: ESB - 1007

Instructor: Sarah Kandil

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course is designed to provide a hands-on introduction to data analysis using SQL, along with practical skills to visualize the results in Excel. In just a few hours, you will gain a solid understanding of SQL fundamentals and learn how to apply them to analyze real-world datasets.

The course covers essential SQL concepts, including writing basic queries, filtering and sorting data, and using aggregate functions to generate meaningful insights. Once the data is retrieved and analyzed, you will learn how to visualize these insights in Excel, using charts, graphs, and pivot tables to present your findings effectively.
  
By the end of the course, participants will be able to interact with databases confidently, retrieve and manipulate data efficiently, and visualize their results for business or research purposes. This course is perfect for beginners in data analysis, or professionals looking to enhance their SQL and Excel skills. No prior experience with SQL or Excel is required.

Course Pre-requisite: None

Date: December 21, 2024

Time: 9:00 am - 1:00 pm

Location: ESB - 1007

Instructor: Junu Jahana

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

The course acts as a virtual research assistant, offering an introduction to essential tools, software, and AI-powered platforms that can streamline every stage of the research process. Participants will learn how to use technology to enhance productivity, improve data analysis, and simplify complex tasks. The course provides practical skills for organizing research, managing references, collaborating effectively, and leveraging AI to make informed, data-driven decisions. Ideal for students seeking to harness the power of technology to optimize their research workflow and make academic writing faster and easier.

Course Pre-requisite: None

Date: December 23, 2024

Time: 10:00 am - 1:00 pm

Location: ESB - 1007

Instructor: Salma Elabed

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course provides a thorough introduction to key topics in healthcare quality, aimed at equipping participants with the crucial knowledge and skills to enhance patient safety and experience. The curriculum delves into focusing on their application within healthcare settings and their impact on patient care and service delivery to ensure patient safety and satisfaction are integral parts of their daily operations. Additionally, the course covers how to navigate healthcare regulations and manage the physical infrastructure of healthcare facilities to optimally support service delivery.

Course Pre-requisite: None

Date: December 23-24, 2024

Time: 11:00 am - 2:00 pm

Location: ESB - 1005

Instructor: Sara AlSafadi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course shall guide the attendees on how to utilize Python for advanced data analysis and visualization. A general introduction to Python is first provided, followed by details of the Python libraries that are most useful for data analysis and visualization. A three-stage project is then initiated, consisting of: 1) Web scraping from online sources, 2) Data Analysis using Pandas, and 3) Data Visualization using Matplotlib. This project shall be completed by the attendees within the two-day course duration to apply the learnt data analysis and visualization tools. No prior knowledge of Python is required for this course.

Course Pre-requisite: None

Date: December 23-24, 2024

Time: 11:00 am - 2:00 pm

Location: ESB - 1009

Instructor: Eiman ElGhanam

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This short course provides a robust foundation in the intertwined concepts of Lean and Six Sigma, equipping you with powerful tools for process and quality enhancement. They will learn about:
  • Core Lean Principles: Identify and eliminate waste (non-value-added activities) through techniques like value stream mapping, workplace organization (5S), and continuous improvement (Kaizen).
  • Six Sigma Methodology: Master the DMAIC (Define, Measure, Analyze, Improve, Control) framework for data-driven process improvement and defect reduction.
  • Quality Improvement Tools: Develop proficiency in essential statistical tools (e.g., Pareto charts, histograms, control charts), root cause analysis techniques (fishbone diagrams), and process flow analysis.
  • Voice of the Customer (VOC) & Quality Function Deployment (QFD): Translate customer needs into actionable product design and development strategies, ensuring customer satisfaction.
  • Design for Six Sigma (DFSS): Integrate quality and robustness principles into product design from the outset, minimizing defects and maximizing customer value.
  This short course emphasizes hands-on application. They'll gain experience using key tools within the DMAIC and DFSS frameworks to tackle real-world process improvement challenges. In addition to presenting Lean Six Sigma related papers, and how they could be employed in research works. Upon completion, participants will be ready to:
  • Lead quality improvement projects
  • Streamline processes and reduce waste
  • Design products and services that meet customer expectations

Course Pre-requisite: None

Date: December 24-25, 2024

Time: 1:00 am - 4:00 pm

Location: ESB - 1017

Instructor: Nadin Alherimi

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This training course on the Analytic Hierarchy Process (AHP) is designed to equip engineering students with a robust decision-making tool widely used in complex project management and system analysis. The course offers a comprehensive introduction to AHP, a multi-criteria decision-making (MCDM) method that helps prioritize alternatives when dealing with multiple, often conflicting, objectives.
  
Through the course, students will learn the theoretical foundations of AHP, which involves breaking down a decision problem into a hierarchy of more easily comprehended sub-problems. Each of these sub-problems can be analyzed independently. By comparing these elements pairwise, students will understand how to weigh criteria and alternatives to arrive at the best decision based on a clear, structured process.
  
Key topics covered in the course include:
  
  -Basics of decision-making processes in engineering
  -The AHP methodology: constructing hierarchies and pairwise comparisons
  -Consistency ratio in AHP and its significance
  -Practical applications of AHP in engineering problem-solving
  -Using AHP software tools to automate decision analysis
The course will include real-life case studies from engineering projects where AHP is used, providing hands-on experience for participants. By the end of the course, students will be equipped with the skills to apply AHP in their academic projects and professional careers, making them adept at handling complex decision scenarios in fields like supply chain management, project prioritization, or technology selection.
  
This training is particularly valuable for students in system engineering, project management, and operations research, providing them with an essential decision-making toolkit.

Course Pre-requisite: None

Date: December 25-26, 2024

Time: 11:00 am - 3:00 pm

Location: ESB - 1007

Instructor: Ryan Alshaikh

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

In this practical course, you'll discover how to cleanse, model your data, create stunning reports and dashboards, and connect to various data sources. You’ll engage in hands-on modules using real-world datasets, enhancing your data analysis and visualization skills. By the end of the course, you’ll be equipped to transform raw data into meaningful insights and effectively share your findings with teams or clients. This course is perfect for students, researchers, and practitioners to unlock the full potential of their data!

Course Pre-requisite: None

Date: January 6, 2025

Time: 3:00 pm - 6:00 pm

Location: ESB - 1005

Instructor: Jahanara Thasnim

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

In this course, we will cover two main parts. The first part will be intro to networking using Cisco's Packet Tracer, a powerful network simulation tool. The participants will learn about how to build and configure a computer network using routers, switches, and end devices. By the end of this part, participants will have implemented a full network topology, configured IP addresses, and ensured end-to-end connectivity between devices. So, this part will focus on the core concepts of networking, such as IP addressing, routing, and switching, and provide practical exercises to simulate real-world network scenarios. 
  
The second part of this course will be about how to enhance the security of the network we implemented in part 1. We will implement basic security measures (Access Control Lists (ACLs)). Also, we will introduce some security equipment/appliances.
  
By the end of the course, participants will be able to:
  
  1. Build and configure networks using routers, switches, and end devices in Cisco Packet Tracer.
  2. Set up IP addresses and ensure successful network connectivity.
  3. Implement basic network configurations and troubleshoot connectivity issues.
  4. Briefly understand how to enhance network security through ACLs and other appliances such as Firewalls.

Course Pre-requisite: None

Date: January 6-8, 2025

Time: 3:00 pm - 5:00 pm

Location: ESB - 1014

Instructor: Rami Zaino

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course explores the dynamic and critical field of coastal water quality management, focusing on the interactions between natural processes and human activities that influence coastal ecosystems. Participants will gain an in-depth understanding of the key threats to coastal water quality, including pollution, overfishing, and habitat destruction, as well as the latest conservation and management strategies to address these challenges. Through a blend of theoretical knowledge and practical case studies, this course aims to equip students, environmental professionals, and policymakers with the tools and insights necessary to implement effective and sustainable water management practices in coastal areas.

Course Pre-requisite: None

Date: January 6, 9, 13 & 16, 2025

Time: 1:00 pm - 3:00 pm

Location: ESB - 1017

Instructor: Norhan Ahmed

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Applications on the Patient Journey

Course Pre-requisite: None

Date: January 15, 2025

Time: 4:00 pm - 5:00 pm

Location: ESB - 1005

Instructor: Inas Al Khatib

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This training program is designed to provide participants both theoretical and practical knowledge about the development of service design in response to digital advancements. Every day, a distinguished guest speaker will present a one-hour session where they will share their expertise and practical experiences in various fields, highlighting the importance of service design and digital technology impact on service provision. Furthermore, the program includes a diverse range of interactive tasks, workshop activities and collaborative group discussions. Through these exercises, participants will be better equipped to navigate and innovate in this rapidly changing area by reinforcing the implementation of digital approaches within the service design process.

Course Pre-requisite: None

Date: January 15-16, 2025

Time: 10:00 am - 3:00 pm

Location: ESB - 1007

Instructor: Karam Al-Assaf

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

Prompts in AI are predefined instructions or input provided to AI models to guide their output. They serve as a starting point for the model to generate responses or perform specific tasks. Prompts can be in the form of text, images, or other types of input. They act as cues for the AI model, shaping its behavior and influencing the output it produces. According to OpenAI, prompts are like 'the steering wheel' that helps control the direction of the AI model's response. In the context of language models, prompts are typically text-based instructions or questions that provide context and guidance for generating coherent and relevant responses. They help set the tone, style, and content of the generated text. Prompts play a crucial role in generating text with language models and ensuring their outputs align with the desired objectives. By carefully crafting prompts, developers can influence the behavior and performance of AI models, making them more useful and reliable. Prompt engineering is the process of designing and optimizing prompts to improve the performance of language models on specific tasks. This can be done by using different types of prompts, by changing the structure of the prompts, or by adding additional information to the prompts. Prompt engineering is important because it can help to overcome some of the limitations of language models. For example, language models can be biased and can generate inaccurate or nonsensical output. Prompt engineering can be used to mitigate these problems by providing the language model with additional information about the desired output or by constraining the language model's output space.

Course Pre-requisite: None

Date: March 2, 2025

Time: 4:00 pm - 5:00 pm

Location: ESB - 1007

Instructor: Inas Al Khatib

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]

This course explores the complexities of diagnosing hypothyroidism and hyperthyroidism, focusing on population-specific reference ranges. It begins by addressing the difficulty of establishing accurate diagnostic criteria. Next, we will review advancements in traditional diagnostic techniques, including updated algorithms and novel biomarkers, that aim to refine the diagnosis of thyroid disorders. Finally, the course will introduce modern technologies like machine learning and artificial intelligence that can revolutionize the diagnostic process. These technologies analyze large datasets to increase diagnostic efficiency and precision, providing cost-effective, scalable, and personalized solutions. Case studies will illustrate how AI-driven approaches enhance the accuracy and accessibility of thyroid disorder diagnosis.

Course Pre-requisite: None

Date: June 3-5, 2025

Time: 10:00 am - 12:00 pm

Location: ESB - 1007

Instructor: Areej Mohammed

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial Engineering [email protected]