CEN Student Community Hub

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: June 29-30, 2024

Time: 9:00 AM - 1:00 PM

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

Location: EB2, ESB Fees (Exam/Materials/Supplies): Free

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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: May 28-30, 2024

Time: 9:00 AM - 4:00 PM

Instructors: Mr. Aqeel Ahmed and Mr. Riyad Temam

Fees (Exam/Materials/Supplies): Free

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

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. The course helps students gain practical, hands-on skills needed to maintain and ensure security operational readiness of secure networked systems. Knowledge Domains covered in the course include:
- Security concepts
- Security monitoring
- Host-based analysis
- Network intrusion analysis
- Security policies and procedures

Course Prerequisites: Basic knowledge of Cybersecurity topics is recommended

Date: May 27-30, 2024

Time: 9:00 am - 4:00 pm
(12:00 - 1:00 pm break)

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]

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: May 23, 2024

Time: 12:00 PM - 6:00 PM

Instructor: Dr. Mostafa Shaaban

Fees (Exam/Materials/Supplies): Free

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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: May 26, 2024

Time: 1:00 PM - 5:00 PM

Instructor: Dr. Ammar Hasan

Fees (Exam/Materials/Supplies): Free

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

AUS Drone Academy offers a certified training course on operating drones, with multiple modules to choose from depending on the application. The certification is endorsed by the Dubai Civil Aviation Authority (DCAA) and allows trainees to obtain a drone flying permit. The program aims to train students to operate Unmanned Aerial Systems (UAS) safely and in accordance with UAE regulations. Students will learn aeronautical principles, how to plan and fly standard and emergency maneuvers, and pre and post-flight procedures.

Course Pre-requisite: None

Date: May 27-29, 2024

Time: 9:00 AM - 5:00 PM

Instructors: Mr. Wasil El Tahir and Exponent Technology Services

Fees (Exam/Materials/Supplies): AED 900 + 5% VAT

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: June 29-30 & July 6-7, 2024

Time: 2:00 PM - 5:00 PM

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

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

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

Effective supply chain management is crucial for realizing the potential of 3D printing technology in creating futuristic smart sustainable cities. It ensures a consistent supply of raw materials while maintaining precision in manufacturing complex components required for advanced building designs. Moreover, it facilitates sustainability efforts by enabling efficient sourcing and transportation of recycled materials while minimizing fuel consumption through optimized logistics planning.

Course Pre-requisite: None

Date: May 27, 2024

Time: 10:00 am - 1:00 pm
2:00 pm - 5:00 pm

Instructor: Rand Al Ezairjawi

Fees (Exam/Materials/Supplies): Free

Click here to register

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

The objective of this workshop is to give the students an idea about using python language to perform statistical analysis and build prediction machine learning models for regression and classification purposes.

Course Pre-requisite: None

Date: May 28-30, 2024

Time: 1:00 am - 4:00 pm

Instructor: Areej Mohammed

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This course provides a comprehensive knowledge for students about design and maintenance of photovoltaic (PV) systems. Through an integrated approach of theoretical exploration and practical demonstrations, participants gain expertise in selecting system components, optimizing performance, and implementing effective maintenance strategies. Furthermore, the course explores emerging trends and innovations in solar technology, providing valuable insights into market dynamics and career opportunities in the renewable energy sector. Overall, this course equips participants with the knowledge and skills needed to drive the adoption of solar energy solutions while contributing to a sustainable future.

Course Pre-requisite: None

Date: May 28-30, 2024

Time: 10:00 am - 1:00 pm

Instructor: Haneen Abuzaid

Fees (Exam/Materials/Supplies): Free

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

The course will walk the attendees through full understanding of the Mechanics of the Electrical Vehicles, theory, practice and practical explanation.

Course Pre-requisite: None

Date: May 29, 2024

Time: 2:00 pm - 5:00 pm

Instructor: Khalid Hamarsheh

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This workshop provides researchers with a comprehensive understanding of Bayesian Belief Networks (BBNs) and their application in research contexts, with a focus on managing risks. Participants will learn to construct graphical models, define nodes and edges, and develop conditional probability tables (CPTs) for BBNs. Practical exercises and case studies will offer hands-on experience in building and analyzing BBNs using software tools. The workshop will also cover inference methods for exact and approximate calculations, enhancing participants' ability to derive insights from complex data sets. By discussing risks as an example, participants will learn how BBNs can be used to identify, assess, and mitigate risks in research projects. This workshop will empower researchers to effectively apply BBNs to their research, enabling them to make informed decisions.

Course Pre-requisite: None

Date: May 29, 2024

Time: 6:00 pm - 9:00 pm

Instructor: Sabreen Dar Amer

Fees (Exam/Materials/Supplies): Free

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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) Data Wrangling from online sources, 2) Data Analysis using Pandas, and 3) Data Visualization using Matplotlib and seaborn. This project shall be completed by the attendees within the three-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: May 29-31, 2024

Time: 10:00 am - 1:00 pm

Instructor: Eiman Ayman ElGhanam

Fees (Exam/Materials/Supplies): Free

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

This training course is designed to equip participants with the foundational knowledge and practical skills needed to apply neural networks to time-series data. The course will cover the basics of neural networks, with a focus on architectures and algorithms that are particularly effective for time-series forecasting, such as Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, and more recently, Transformer models.

Course Pre-requisite: None

Date: June 1-2, 2024

Time: 11:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Maram Helmy

Fees (Exam/Materials/Supplies): Free

Click here to register

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

The 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: June 3-4, 2024

Time: 10:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Karam Al-Assaf

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 introduce participants to the core aspects of optimization using the General Algebraic Modeling System (GAMS). Participants will learn the essentials of linear, nonlinear, and integer programming within the GAMS environment. Detailed instruction on GAMS model formulation, execution, and interpretation of outputs will be covered. The course emphasizes practical skills, offering extensive hands-on experience through lab sessions. Participants will then transition to MATLAB, learning to automate the GAMS optimization process and employ MATLAB's sophisticated data visualization tools to interpret and present their results effectively.

Course Pre-requisite: None

Date: June 3-4, 2024

Time: 11:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Sarah Kandil

Fees (Exam/Materials/Supplies): Free

Click here to register

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

The workshop offers a comprehensive exploration of building and using prediction models in various domains. Participants will learn about the importance of metrics and indexes in constructing effective prediction models, including different metrics used to evaluate model performance and how to create meaningful indexes to represent complex data. A key focus will be on assigning weights to indexes using methods like Relative Importance Index and Analytic Hierarchy Process (AHP), enabling participants to prioritize factors and variables in prediction models. The workshop will also cover the basics of linear regression and its application in making predictions based on the constructed indexes. Practical exercises and case studies will provide hands-on experience, empowering participants to apply these techniques to enhance their predictive modeling skills and make better-informed decisions in their respective fields.

Course Pre-requisite: None

Date: June 4, 2024

Time: 6:00 pm - 9:00 pm

Instructor: Sabreen Dar Amer

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: June 7-9, 2024

Time: 10:00 am - 1:00 pm

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 blends theoretical knowledge with practical applications, providing participants with a deep understanding of how blockchain technology can transform supply chain management. The first day focuses on blockchain fundamentals, its relevance to the supply chain, and case studies of successful implementations. The second day involves hands-on workshops where participants design blockchain solutions, explore key software tools, and learn how to develop a pilot blockchain project in their organizations, covering aspects such as smart contracts and the integration of IoT with blockchain. This course prepares participants to enhance transparency, efficiency, and reliability in their supply chain operations through blockchain technology.

Course Pre-requisite: None

Date: June 8-9, 2024

Time: 10:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Ryan Alshaikh

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This training course will provide participants with an in-depth understanding of two powerful decision-making tools commonly used in management: Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). By the end of the course, participants will have the knowledge and skills to confidently utilize AHP and TOPSIS in various management contexts, enhancing their decision-making capabilities and contributing to organizational success.

Course Pre-requisite: None

Date: June 8-9, 2024

Time: 11:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Junu Jahana 

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This training course will cover the fundamental principles and the current applications of construction management principles. Some important topics covered in this training course include the different project delivery systems, contract delivery approaches, and contract documents, the bidding process, labor, and material procurement in construction projects, change orders, construction claims and dispute resolutions, schedule of values, payment certificates, construction documentation and record keeping, construction ethics specific to the construction industry.

Course Pre-requisite: None

Date: June 10-11, 2024

Time: 11:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Sara Abdulmaksoud

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Demonstrate to Industrial Engineers a case study in each session that showcases for them what sort of projects they can be involved in. There is a wealth of opportunities in healthcare, and illustrating such projects will identify the sort of skill sets that would make students competitive in this industry.

Course Pre-requisite: None

Date: June 24-27, 2024

Time: 11:00 am - 01:00 pm

Instructor: Inas Al Khatib

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Contracts Management and Project Administration course, aligned with FIDIC standards, offers a comprehensive exploration of the aspects in effectively managing contracts and administering projects within the construction industry as well as any other industry. Participants investigates the core principles and practical applications of FIDIC contract documents, covering pre-contract procedures, contract administration, risk management, claims resolution, and ethical considerations. Through a blend of theoretical learning and hands-on exercises, attendees gain invaluable insights into navigating contractual obligations, mitigating risks, and ensuring project success while adhering to FIDIC guidelines.

Course Pre-requisite: None

Date: June 24-27, 2024

Time: 1:00 pm - 4:00 pm

Instructor: Haneen Abuzaid

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Asset management accreditation is an essential tool for organization in order to perform its operation in a systematic way, including acquisition, monitoring and performance. In this course, we aim to brief about Asset Management Framework and its pillar towards successful organization. Strategic Asset Management Plan (SAMP),Reliability Centered Maintenance (RCM) and Asset Information will be focused during the training.

Course Pre-requisite: None

Date: June 25, 2024

Time: 2:00 pm - 5:00 pm

Instructor: Ahmed Almarzooqi

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Certified Associate in Project Management(CAPM). The course will give you an overview about the CAPM certificate requirements and material.

Course Pre-requisite: None

Date: June 26-27 & July 1-4, 2024

Time: 10:00 am - 1:00 pm
2:00 pm - 5:00 pm

Instructor: Ms. Dina Al-Momani

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This dynamic course is designed to offer substantial value to urban planners, engineers, technology professionals, and all those engaged at the nexus of urban development and technological innovation. It delivers an in-depth exploration of the Internet of Things (IoT), with a particular emphasis on its application to smart grids and smart transportation systems as integral components of smart city development and management.
Participants will begin with a foundational understanding of IoT concepts, including how interconnected devices collect, transmit, and analyze data. The course will discuss the technical components of IoT systems, such as sensors, networks, and data analytics platforms, highlighting their roles in creating efficient, responsive urban environments.
Key aspects of the course include:
• Understanding the role of IoT in enhancing the operational capabilities of smart grids, including energy consumption monitoring, demand response management, and grid stability enhancements.
• Exploring the application of IoT in smart transportation, examining solutions such as traffic congestion management, automated toll systems, real-time public transit updates, and vehicle-to-infrastructure communications.
• Case studies on successful IoT deployments in smart grids and transportation, highlighting both the technological innovations and the policy adjustments necessary for integration.
• Security and privacy considerations, focusing on how to protect data integrity and privacy while implementing IoT solutions in public infrastructure.
By exploring innovative applications of IoT in smart cities, participants will gain insights into how technology can be harnessed to make urban areas more livable, sustainable, and efficient. The course will also address the critical issues of scalability and interoperability of IoT technologies in an urban setting.
Upon completion of the course, attendees will have a comprehensive understanding of how IoT applications can be deployed in smart cities and the technical know-how to contribute to or lead initiatives that enhance urban life through technology.

Course Pre-requisite: None

Date: July 1-2, 2024

Time: 11:00 am - 1:00 pm
2:00 pm - 4:00 pm

Instructor: Fatemeh Marzbani

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Industrial 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: May 27-28, 2024

Time: 10:00 am - 3:00 pm
(1:00 - 2:00 pm break)

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: May 28, 2024

Time: 11:00 am - 4:00 pm

Instructor: Mr. Wasim Almasri

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: May 29-30, 2024

Time: 10:00 am - 3:00 pm
(1:00 - 2:00 pm break)

Instructor: Mr. Ahmed Elsergany

Fees (Exam/Materials/Supplies): Free

Click here to register

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