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: May 26-27, 2025

Time: 2:00 PM - 4:00 PM

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

Location: EB2-017

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Course Overview

The training will cover the topics required for the CCNA certification which is divided into three courses:
1. Introduction to Networks (starts May 19th, 2025)
2. Switching, Routing and Wireless Essentials
3. Enterprise Networking, Security, and Network Automation
Each course will run for a period of 1 month. You need to finish a course to enroll in the next. The estimated number of hours needed to finish each course is ~70 hours. I will be posting recorded videos to explain important topics covered in each course. You can watch the videos at your own pace. 

Course Prerequisites: COE 371 Computer Networks I

Date: May 19- July 31, 2025

Time: Self-paced, 
1. Combination of Recorded videos on-demand provided by the instructor (Wissam)
2. Self-study 
3.Bi-weekly online sessions

Location: Online

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]

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 26, 2025

Time: 10:00 AM - 4:00 PM

Location: ESB-1006

Instructors: Prof. 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]

This short course presents the rules and the best practices of using the VNA for the calibration, measurements and characterization of the electronic circuits at various frequencies.

Course Pre-requisite: Basic knowledge of network theory

Date: June 16, 2025

Time: 11:00 am - 2:00 pm

Location: ESB 0028 (RF Microelectronics Lab)

Instructor: Dr. Lutfi Albasha

Fees (Exam/Materials/Supplies): Free

Click here to register

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

On-wafer probing machines are used to evaluate non packaged integrated circuits. This crash course will present on-hand experience on using them for the characterization of ICs in clean room environment and strict rules with regards to calibration.

Course Pre-requisite: None

Date: June 23, 2025

Time: 11:00 am - 2:00 pm

Location: ESB 0028 (RF Microelectronics Lab)

Instructor: Dr. Lutfi Albasha

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This short course will provide an introduction to Physical AI, exploring the integration of artificial intelligence with physical systems, such as robots, to create intelligent and responsive machines. It highlights the key differences between digital AI, which operates in virtual environments, and Physical AI, which brings intelligence into tangible, real-world systems through sensors, actuators, and embodied interaction.

Course Pre-requisite: None

Date: June 24, 2025

Time: 10:00 am - 1:00 pm

Location: TBA

Instructor: Dr. Ammar Hasan

Fees (Exam/Materials/Supplies): Free

Click here to register

For more information, contact the Department of Electrical Engineering el[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 21, 22 and 28, 2025

Time: 11:00 am - 3:00 pm

Location: PCB Manufacturing Lab

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

Fees (Exam/Materials/Supplies): Course fee of AED 500. The course fee is required as the course delivery involves supply material consumption.

Click here to register

For more information, contact the Department of Electrical Engineering el[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: May 26-27, 2025

Time: 11:00 am - 2:00 pm

Location: EB1 0009 (EPIC Center)

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

Fees (Exam/Materials/Supplies): Course fee of AED 250. The course fee is required as the course delivery involves supply material consumption.

Click here to register

For more information, contact the Department of Electrical Engineering el[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: June 14-15, 2025

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]

Guide students through building a smart car that uses radar (ultrasonic) sensors with Arduino to detect and avoid obstacles, while also introducing them to business thinking for engineers.

Course Pre-requisite: Any engineering student with a beginner background in programming in C and a foundation in electric circuits. 

Date: May 26, 2025

Time: 11:00 am - 4:00 pm

Instructor: Mr. Wasim Almasri

Location: EB2-109

Fees (Exam/Materials/Supplies): It is free, but students are responsible for bringing the kit to the workshop. They can either borrow it or purchase it. Kit details and links to local suppliers will be included on the registration form.  

Click here to register

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

Provide students with hands-on experience in constructing an AI-powered Robbo Car using Raspberry Pi, concentrating on image processing, obstacle avoidance, and real-time autonomous navigation.

Course Pre-requisite: Any engineering student with a beginner's background in programming in C and Python and a foundation in electric circuits.  

Date: May 27, 2025

Time: 11:00 am - 4:00 pm

Instructor: Mr. Wasim Almasri

Location: EB2-109

Fees (Exam/Materials/Supplies): It is free, but students are responsible for bringing the kit to the workshop. They can either borrow it or purchase it. Kit details and links to local suppliers will be included on the registration form.  

Click here to register

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

The upcoming "Fine-Tuning Open Source LLMs – Prompt Re-engineering" workshop offers hands-on training in customizing large language models (LLMs) using prompt engineering and fine-tuning techniques like QLoRA. Participants will learn to align models with specific use cases such as HR chatbots, teacher assistants, and medical bots by crafting effective prompts and system instructions, applying efficient fine-tuning strategies, and utilizing tools like DeepSpeed and Flash Attention. Ideal for developers and data scientists, the workshop aims to equip attendees with practical skills to optimize open-source LLMs for real-world applications.

Course Pre-requisite: None

Date: May 26, 2025

Time: 12:00 pm - 2:00 pm

Location: ESB - 1026

Instructor: Ms. Inas Al Khatib

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This hands-on workshop introduces civil engineering and architecture students to environmental heat analysis using Grasshopper in Rhino. It is geared toward students interested in sustainable design. The course will introduce students to importing pre-made 3D model files and give them experience using Ladybug tools to spatially simulate solar radiation and exposure to heat on building surface areas. Students will learn how to model and run environmental simulations, analyze heat performance, and interpret the simulation results for an energy efficient building design strategy. By the end of the session, students will finish their own basic analysis and have some familiarization to simulation workflows.
 
 Learning Outcomes:
 -Import and navigate pre-made 3D models in Rhino
 -Use Ladybug tools to run basic solar radiation and heat exposure simulations
 -Analyze and interpret environmental performance results for sustainable design insights
 
 Target Audience:
 Undergraduate civil engineering and architecture students interested in sustainable design and environmental analysis.
 
 Requirements:
 Laptop with Rhino and Grasshopper installed.
 Pre-made 3D models will be provided during the workshop.

Course Pre-requisite: None

Date: June 2, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB - 1026

Instructor: Ms. Majeda Alhomsi

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: June 3-4, 2025

Time: 3:00 pm - 5:30 pm

Instructor: Mr. Rami Zaino

Location: ESB - 1044

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This short course offers an in-depth introduction to writing academic papers using LaTeX, the leading typesetting system for scientific and academic documents. Participants will learn how to effectively use LaTeX and Overleaf to professionally structure their research papers, by mastering the formatting of complex equations, tables and figures, while efficiently handling in-text citations and bibliographies. Attendees are expected to gain practical skills to enhance the clarity, readability, and presentation of their academic work, making it suitable for submission to high-impact journals and conferences.

Course Pre-requisite: None

Date: May 28, 2025

Time: 12:00 pm - 3:00 pm

Location: ESB - 1042

Instructor: Ms. Eiman ElGhanam

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This hands-on workshop introduces students to the exciting world of game development using Python and the Pygame library. Designed for beginners, the course will guide participants through the fundamentals of programming, game design, and interactive development by building a simple 2D arcade-style game from scratch. Students will learn how to create a game window, add player movement, integrate basic graphics, and implement game logic such as scoring, collision detection, and win/lose conditions. By the end of the session, participants will have built and customized their own playable game while gaining valuable coding and problem-solving skills.
 
 Learning Outcomes:
 By the end of this course, participants will be able to:
 • Understand the basics of Python syntax and game loops
 • Use the Pygame library to design 2D games such as (Flappy Bird Clone, Dodge the Blocks (Survival Game), Space Shooter, Memory Match Game (with Graphics))
 • Create player-controlled objects and interactive elements
 • Implement scoring, collision logic, and game over conditions
 • Develop confidence in applying programming to creative projects
 
 Duration:
 5–6 hours
 
 Target Audience:
 Undergraduate students with little or no prior programming experience. Open to all majors.
 
 Requirements:
 Basic laptop with Python and Pygame installed (installation instructions will be provided before the session)

Course Pre-requisite: None

Date: May 21-22, 2025

Time: 2:00 pm - 5:00 pm

Location: ESB - 1041

Instructor: Ms. Rasha Alsharif

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. 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 SQL data analysis. No prior experience with SQL or Excel is required.

Course Pre-requisite: None

Date: May 24, 2025

Time: 9:00 am - 12:00 pm

Location: ESB - 1026

Instructor: Ms. Junu Jahana

Fees (Exam/Materials/Supplies): Free

Click here to register

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

In space engineering, supply chain management and lifecycle analysis are critical elements that ensure mission success, cost efficiency, and sustainability. The supply chain for space projects is complex, involving a vast network of suppliers delivering highly specialized components such as propulsion systems, avionics, materials for extreme environments, and precision instruments. Managing this network requires stringent quality control, traceability, and coordination to meet the demanding technical and safety standards of space missions.
 
 Given the long development times and high costs associated with space systems, supply chain disruptions can have significant consequences. Therefore, redundancy, risk mitigation strategies, and close supplier relationships are prioritized. Recent trends also emphasize localization of supply chains to reduce dependencies and improve resilience against geopolitical or logistical challenges.
 
 Lifecycle analysis (LCA) in space engineering examines a system from initial concept through design, manufacturing, operation, and eventual decommissioning or disposal. LCA helps engineers and project managers evaluate environmental impacts, costs, and risks associated with each stage of a space system’s existence. This holistic view is essential for designing sustainable missions, especially with increasing concerns about space debris and the environmental impact of launch activities.
 
 Modern space missions are increasingly incorporating lifecycle thinking early in the design process. For example, spacecraft may be designed for in-orbit servicing, repair, or end-of-life disposal to extend their operational lives and minimize debris creation. Additionally, LCA supports decisions about material selection, propulsion methods, and mission architecture to optimize overall mission sustainability.
 
 In summary, robust supply chain management ensures the reliable sourcing of high-performance components, while lifecycle analysis provides a framework for sustainable and responsible space engineering. Together, these practices are shaping the future of space exploration, making missions safer, more efficient, and more environmentally conscious.

Course Pre-requisite: None

Date: May 25, 2025

Time: 1:30 pm - 3:30 pm

Location: ESB - 1026

Instructor: Ms. Rand Al Ezairjawi

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This course is your gateway to the world of data visualization and analytics. In this beginner-friendly course, you'll learn to connect, clean, and model data, and create stunning interactive dashboards using real-world datasets. With hands-on guidance and practical tips, you'll quickly gain the skills to turn raw data into clear, actionable insights. Whether you're a student, researcher, or working professional, this course will empower you to confidently use Power BI and share impactful visual stories from your data.

Course Pre-requisite: None

Date: May 27, 2025

Time: 9:30 am - 12:30 pm

Location: ESB - 1026

Instructor: Ms. Jahanara Thasnim

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Introductory course on power quality issues in contemporary electrical systems, their causes, impacts on energy efficiency and equipment reliability, and the methods used for mitigation.
 Upon completion of this course, students are expected to:
 • Learn basic power system components.
 • Define and identify common power quality disturbances.
 • Understand the sources of power quality problems in modern energy systems, including renewable energy integration and non-linear loads.
 • Understand the impact of poor power quality on electrical equipment, energy efficiency, and system reliability.
 •Explore mitigation techniques and technologies for improving power quality.

Course Pre-requisite: None

Date: May 31, 2025

Time: 10:00 am - 2:00 pm

Location: TBA

Instructor: Ms. Salma Azzam

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This intensive three-hour course provides a comprehensive overview of fundamental occupational safety and health (OSH) standards critical to maintaining a safe and compliant workplace. Designed for professionals across industries, the course introduces participants to key regulatory frameworks, including international guidelines (such as ISO 45001) and major national standards (Such as OSHJ standard)
 
Participants will explore essential topics such as hazard identification, risk assessment, incident reporting, and employer and employee responsibilities under OSH regulations. The course also covers the importance of implementing proactive safety management systems and maintaining compliance to avoid legal and operational risks.

Course Pre-requisite: None

Date: June 2, 2025

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Mr. Mohamed Yousif Alzarooni

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This hands-on workshop offers a practical deep dive into optimization modeling and results visualization, using industry-standard tools: GAMS for formulating and solving real-world optimization problems, and MATLAB for transforming raw outputs into meaningful insights.

Course Pre-requisite: None

Date: June 4, 2025

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ms. Sarah Kandil

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This training offers a step-by-step guide to conducting a Systematic Literature Review (SLR), emphasizing its structured methodology compared to a traditional literature review. It covers defining a focused research question, developing a protocol, designing a comprehensive search strategy, screening and assessing literature, extracting and synthesizing data, and reporting findings. A practical example on the impact of technological advancements on healthcare service quality is used to illustrate the process. The training also highlights best practices, essential tools such as PRISMA and Rayyan, and strategies for ensuring transparency and reliability throughout the review.

Course Pre-requisite: None

Date: June 12, 2025

Time: 12:00 pm - 3:00 pm

Location: TBA

Instructor: Ms. Karam Al-Assaf

Fees (Exam/Materials/Supplies): Free

Click here to register

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

In today's complex world, making effective decisions often involves weighing multiple factors. This focused course introduces students to TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) – a powerful yet accessible method designed to tackle such multi-criteria choices. students will learn a systematic approach to evaluate alternatives, understand the relative importance of different considerations, and ultimately identify the options that best align with desired outcomes.

Course Pre-requisite: None

Date: June 12, 2025

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Ms. Sarah Ahmed

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 practical introduction to bibliometric analysis with a focus on using VOSviewer, a powerful software tool for constructing and visualizing bibliometric networks. Designed for researchers, graduate students, and academics across disciplines, the course aims to equip participants with the essential skills to conduct systematic literature mapping, identify research trends, and uncover influential publications, authors, and institutions within a specific field.
 
 Through a hands-on, interactive format, participants will learn how to collect bibliographic data from major databases such as Scopus and import it into VOSviewer for analysis. The course will cover various types of bibliometric networks, including co-authorship, citation, co-citation, and keyword co-occurrence. Attendees will also gain insights into interpreting network visualizations to support literature reviews, research gap identification, and the development of impactful research questions.
 
 Key topics include:
 
 -Introduction to bibliometric analysis and its applications
 
 -Data collection and cleaning for VOSviewer
 
 -Building and interpreting different types of networks
 
 -Customizing visualizations and exporting results
 
 -Case study examples in engineering and sustainability fields
 
No prior experience with bibliometric tools is required. By the end of the session, participants will be able to independently perform a basic bibliometric analysis and apply it to their own research area. The course is ideal for those looking to enhance the rigor and visibility of their literature reviews or explore emerging trends in their discipline.

Course Pre-requisite: None

Date: June 16, 2025

Time: 1:00 pm - 4:00 pm

Location: TBA

Instructor: Ms. Tania M Joseph

Fees (Exam/Materials/Supplies): Free

Click here to register

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

Engineering for a Sustainable Future is a important course for engineering students and early-career engineers to integrate sustainability into their careers. It will offer required knowledge and practical skills required to make environmentally and socially sustainable engineering decisions. By a mix of basic principles and real case studies, students acquire knowledge of how engineering practice can contribute to sustainability by minimizing environmental footprint, maximizing resource effectiveness, and enhancing long-term economic and social resilience. The three dimensions of sustainability (environmental, social, and economic) and the evolving role of engineers in addressing global challenges such as climate change, pollution, and limitations of resources are central subjects.

In addition, tools and applied frameworks like carbon footprint analysis and Life Cycle Assessment (LCA) will be learned with an understanding of how to measure the environmental performance of products and systems across their whole lifecycle. The course will show the importance of integrating engineering solutions with global priorities such as the United Nations Sustainable Development Goals (UN SDGs) and introduces leading green certification systems like LEED and BREEAM. Real-world examples from green building projects, clean energy initiatives, and infrastructure design will be used to explain how sustainable engineering can be applied in practice. By the end of the course, students will have a clear understanding of how to insert sustainability into technical design and decision-making.

Course Pre-requisite: None

Date: June 17, 2025

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ms. Shrouq Al-Etoom

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This interactive 3-hour session offers university students a comprehensive introduction to the fundamentals of strategic management, equipping them with the mindset and tools to think critically and plan effectively in dynamic business environments. The session will explore the key concepts of strategy formulation, implementation, and evaluation through real-world examples and engaging group activities. Students will learn how organizations analyze internal and external environments using models such as SWOT, PESTEL, and Porter’s Five Forces. The course also emphasizes the importance of vision and mission statements, goal setting, and aligning strategies with long-term objectives.
 
Designed to be practical and thought-provoking, the session introduces students to the strategic decision-making process, encouraging them to consider competitive advantage, innovation, and sustainability in their future careers. Participants will work through short case studies and scenarios that challenge them to apply strategic thinking to complex problems, regardless of their academic background.
 
By the end of the session, students will have a clear understanding of the strategic management cycle and its role in driving organizational success. This session serves as a valuable foundation for further study in business, entrepreneurship, and leadership.

Course Pre-requisite: None

Date: June 21, 2025

Time: 2:00 pm - 5:00 pm

Location: TBA

Instructor: Ms. Israa Al Khaffaf

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This course offers a practical introduction to Artificial Intelligence (AI) techniques for data science, with a strong focus on hands-on implementation using Python. Designed for students and professionals, the course bridges theoretical foundations with real-world applications across various data-driven tasks.

Participants will explore core AI concepts and develop practical skills through guided exercises involving real datasets. Emphasis is placed on predictive modeling, algorithm selection, performance evaluation, and result interpretation—ensuring participants not only learn how to build models, but also how to apply them effectively in decision-making contexts.

The course uses Python-based tools and libraries to demonstrate end-to-end workflows, from data preprocessing to model deployment. By the end of the session, attendees will be equipped with a solid understanding of AI’s role in modern data science and the technical capability to implement intelligent solutions in their own projects.

While prior machine learning experience is not required, familiarity with Python and basic data handling is recommended. This course is well-suited for students, early-career researchers, and professionals looking to enhance their data science toolkit with applied AI skills.

Course Pre-requisite: None

Date: June 23, 2025

Time: 12:00 am - 3:00 pm

Location: TBA

Instructor: Ms. Fatemeh Marzbani

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This short course presents an integrated framework developed to enhance the diagnosis of thyroid disorders, structured across three key phases. First, population-specific reference intervals (RIs) for thyroid biomarkers were established to improve diagnostic accuracy and reflect local population characteristics. Second, a regression model was built to predict thyroid-stimulating hormone (TSH) levels using non-invasive patient data. Third, four binary classification models were developed to classify individuals into clinically relevant categories, distinguishing normal thyroid function from subclinical and overt hypothyroidism and hyperthyroidism. Together, these phases provide a comprehensive, interpretable, and non-invasive approach that advances thyroid disorder screening and supports more informed clinical decision-making.

Course Pre-requisite: None

Date: June 24, 2025

Time: 10:00 am - 1:00 pm

Location: TBA

Instructor: Ms. Areej Mohammed

Fees (Exam/Materials/Supplies): Free

Click here to register

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

This workshop introduces participants to the fundamentals of Bayesian Belief Networks (BBNs) and their application in identifying and analyzing interdependencies between variables in complex systems. Participants will gain hands-on experience using eBayes Server, a powerful tool that supports the construction, learning, inference, and visualization of BBNs.

Course Pre-requisite: None

Date: June 28, 2025

Time: 4:00 pm - 7:00 pm

Location: TBA

Instructor: Ms. Sabreen AlAmer

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: July 8, 2025

Time: 11:00 am - 2:00 pm

Location: TBA

Instructor: Ms. 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: July 10, 2025

Time: 12:00 pm - 3:00 pm

Location: TBA

Instructor: Ms. Ryan Alshaikh

Fees (Exam/Materials/Supplies): Free

Click here to register

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