"Words" teaches students how to leverage AI tools to enhance their communication skills. Focusing on practical applications, students will explore how AI can improve writing, messaging, presentations, and data visualization. The course covers using AI for content creation, audience analysis, and real-time communication, while also emphasizing the importance of clear, ethical messaging. Students will gain hands-on experience with AI technologies to communicate more effectively in professional and academic contexts.

Markets & Money introduces fundamental economic concepts, including supply and demand, market structures, and government policies. Students will explore how economic decisions are made at individual, business, and governmental levels. The course also examines the impact of emerging technologies, such as AI, on labor markets, productivity, and economic growth. Through real-world examples and analytical tools, students will gain a solid understanding of economic theory and its application in today's technology-driven global economy.

This course blends theoretical and applied knowledge in both calculus and linear algebra, with an emphasis on AI-specific applications.

The course is designed to provide beginners with a solid foundation in Python - one of the most widely-used programming languages. The course will cover the basics of Python syntax, data types, variables, control structures (such as loops and conditionals), and functions, enabling students to write simple yet effective programs. Emphasis is put on hands-on learning, with practical exercises and projects that help students apply concepts in real-world scenarios. By the end of the course, participants will have a strong understanding of Python's core principles and be equipped with the skills to tackle more advanced topics, such as data analysis, web development, or automation.

The course aims to define artificial intelligence and presenting examples of AI applications to provide historical context for the field's evolution. It then delves into foundational concepts, including search algorithms, and introduction to basic methods of machine learning, computer vision, and natural language processing. The course wraps up with an exploration of the ethical implications of AI and a look at potential future advancements. Hands-on exercises will allow students to apply basic AI techniques, select appropriate technologies for specific problems, and consider design implications. The validation will be most likely via a data challenge long project and oral exams.

Probability and Statistics covers foundational concepts in probability, statistical analysis, and data modeling with a focus on applications in artificial intelligence. Students will learn to apply probabilistic reasoning, hypothesis testing, regression analysis, and data distributions to real-world AI problems. The course emphasizes the role of statistics in machine learning, predictive modeling, and decision-making processes. Through practical examples and hands-on exercises, students will develop the skills needed to analyze and interpret data in AI contexts.

This introductory course provides a foundational understanding of the key concepts, techniques, and applications of machine learning (ML). Designed for beginners, the course covers the basics of supervised, unsupervised, and reinforcement learning, along with an overview of common algorithms, data preprocessing/exploration and model evaluation. Through hands-on exercises and real-world examples, students will gain practical experience in building and deploying simple ML models. By the end of the course, learners will have a solid grasp of the principles driving ML technologies and their transformative impact across industries.

"Entrepreneurship" explores the principles of starting and growing successful ventures, focusing on creative problem-solving, business strategy, and product development. Students will learn to identify opportunities, develop innovative solutions, and navigate the challenges of launching new businesses. The course also examines the role of emerging technologies, including AI, in driving innovation and transforming industries. Through case studies and hands-on projects, students will build practical skills to become effective entrepreneurs in a rapidly evolving business landscape.

This course offers a hands-on introduction to the core financial and accounting concepts essential for building, leading, and scaling innovative companies. Blending two traditionally separate fields into one practical and intuitive learning experience, students will gain the skills needed to both understand a company’s current financial position and plan for its future growth. Students will learn how to read and create fundamental financial documents, including balance sheets, income statements, and cash flow statements, to answer the critical question: “What is the company’s current financial situation?” These tools provide the foundation for understanding how money moves through a business and where value is being created or lost. On the finance side, students will explore startup and business fundamentals such as burn rate, valuation, budgeting, and investment strategies—ultimately answering: “How much money does the company need, and how can it generate more?” Through real-world examples and interactive exercises, students will analyze unit economics, project cash runway, and simulate decision-making scenarios around fundraising and growth.

This course provides a comprehensive introduction to the fundamental concepts and practical applications of computer systems and Internet technology. Students will explore the core components of computer systems, including hardware architecture, operating systems, and networking principles. Additionally, the course covers the essential aspects of Internet technology, such as data communication, network protocols, and web development. Through a combination of theoretical instruction and hands-on exercises, students will gain a solid understanding of how modern computer systems and the Internet function and interact.

This course covers core project management principles with a focus on AI-driven projects. Students will learn how to apply traditional and agile methodologies to plan, execute, and monitor projects involving AI technologies. The course explores AI-specific challenges, such as data management, ethical concerns, and team dynamics, while introducing AI tools for decision-making, performance tracking, and risk management. Students will gain practical skills for leading successful AI-related projects in various industries.

This course introduces students to the fundamentals of software and web development, focusing on designing, building, and deploying applications. Students will learn programming languages, frameworks, and tools essential for creating dynamic and interactive web applications, with an emphasis on integrating AI functionalities.

This course provides students with a comprehensive understanding of the United Arab Emirates' (UAE) history, culture, society, and political system. It explores the UAE's transformation from a traditional society to a modern, globally connected nation. Topics include the UAE's governance, economic development, cultural heritage, and role in regional and international affairs. The course also examines the values of tolerance, sustainability, and innovation that underpin the UAE's vision for the future. Through lectures, discussions, and projects, students will gain a deeper appreciation of the UAE's unique identity and its contributions to the global community.

TBA

This course explores essential principles of effective teamwork, leadership styles, communication, and conflict resolution. Students will learn strategies for building collaborative, high-performing teams and developing leadership skills across diverse environments. The course also examines the role of AI in enhancing team dynamics, decision-making, and leadership processes, including the use of AI tools for team management, performance analysis, and problem-solving. Practical case studies and interactive activities will prepare students for leadership in a technology-driven world.

This course provides a comprehensive foundation for understanding the core Deep Learning (DL) concepts, techniques, and applications. DL is an offspring of machine learning that leverages neural networks to model complex patterns in data. Designed for beginners, the course covers essential topics such as neural network architectures, activation functions, backpropagation, and optimization algorithms, while also introducing popular frameworks like PyTorch. . This course serves as an important prerequisite for further exploration into advanced topics in artificial intelligence and its applications.

TBA

This course covers the end-to-end process of designing and developing AI-powered products. Students will learn about user-centered design, prototyping, agile development, and integrating AI technologies into products. Case studies of successful AI-driven products will be analyzed.

This course explores the legal, ethical, and societal implications of artificial intelligence in business contexts. Students will examine regulatory frameworks, ethical dilemmas, and accountability issues surrounding AI deployment. Topics include bias in AI, intellectual property, data protection laws, and the ethical use of AI in decision-making. Case studies and real-world scenarios will be used to analyze the challenges and responsibilities of implementing AI in business.

Experience real world industry or academic experience working at a company, startup, or research lab.

Experience real world industry or academic experience working at a company, startup, or research lab.

This course introduces students to the practical use of AI tools and the art of prompt engineering, enabling them to effectively interact with and leverage generative AI models like ChatGPT, DALL·E, and other large language models (LLMs). Students will learn how to craft precise prompts, optimize AI outputs, and apply these tools across various domains, including content creation, problem-solving, and automation.

This course introduces the fundamental concepts and techniques of computer vision, a key area of artificial intelligence. Students will learn about image processing, feature extraction, object detection, and image classification. The course covers both traditional methods and modern deep learning approaches, including convolutional neural networks (CNNs) and vision transformers. Practical applications in industries such as healthcare, automotive, and retail will be explored through hands-on projects.

This is an introductory course that provides a comprehensive overview of the fundamental concepts, systems, and applications of robotics, including robot design, programming, control systems, and sensing. Students will explore the various types of robots, their components, and their applications in industrial and non-industrial settings. The course also delves into the latest advancements in robotics, such as robotic planning, dynamic control, and human-robot interaction.

This course provides a comprehensive introduction to web scraping and data mining techniques. Students will learn how to extract, clean, and analyze data from the web using various tools and libraries. The course covers data mining algorithms, data preprocessing, and the ethical considerations of web scraping. Practical applications in AI and machine learning contexts are emphasized.

This course delves into the technologies and algorithms behind speech recognition and synthesis. Students will explore acoustic modeling, language modeling, and speech signal processing. The course also covers the development of speech-enabled applications and the integration of speech technologies into AI systems. Practical labs and projects will reinforce theoretical concepts.

This course focuses on the application of artificial intelligence in the healthcare sector. Students will learn how AI is being used to improve patient outcomes, streamline healthcare operations, and advance medical research. Topics include AI-driven diagnostics, personalized medicine, predictive analytics for patient care, and the use of AI in drug discovery. The course will also address the ethical considerations and regulatory challenges associated with AI in healthcare.

This course provides an in-depth understanding of big data technologies and their role in AI systems. Students will learn about data collection, storage, processing, and analysis techniques for large-scale datasets. Topics include distributed computing frameworks (e.g., Spark), data mining, and machine learning on big data. The course also covers challenges such as scalability, data quality, and real-time processing.

This course covers the principles of data communication and computer networks, including protocols, architectures, and security. Students will explore how data is transmitted, routed, and secured across networks, with a focus on supporting AI-driven applications and IoT systems.

The course provides a foundational understanding of how data is organized, stored, searched and managed in digital systems. Students will use frameworks such as Pandas and SQLAlchemy, to efficiently handle, analyze, and manipulate data. Students will learn how to work with Pandas data structures like DataFrames and Series to clean, transform, and analyze datasets, as well as how to connect Python to databases for seamless data integration. The course also covers essential database concepts, including relational models, SQL queries, and data normalization.

This course focuses on the creation and manipulation of multimedia content, including graphics, audio, and video. Students will learn tools and techniques for designing engaging multimedia experiences, with an emphasis on AI-driven content generation and enhancement.

This course teaches students how to effectively visualize and interpret data using graphical tools and techniques. Emphasis is placed on creating visual representations of complex datasets, including those generated by AI systems, to support decision-making and storytelling.

Human-Computer Interaction (HCI) is the study of how people interact with computers and how to design technology that is both user-friendly and effective. This course explores the principles, methods, and techniques used to design, implement, and evaluate interactive systems. Students will learn about user-centered design, usability testing, and the latest trends in HCI, including virtual reality, augmented reality, and mobile interfaces. The course combines theoretical foundations with practical applications, enabling students to design intuitive and engaging user experiences.

This course focuses on the principles and practices of data privacy and security in the context of AI and data-driven systems. Students will learn about encryption, access control, anonymization, and secure data storage. The course also covers regulatory requirements such as GDPR and CCPA, as well as ethical considerations for protecting sensitive data. Practical exercises will include designing secure AI systems and responding to data breaches.

This course explores the intersection of computer vision, 3D graphics, and mixed reality (MR). Topics include 3D reconstruction, depth sensing, augmented reality (AR), virtual reality (VR), and the integration of AI with MR technologies for applications in gaming, healthcare, and education.

This course examines the transformative role of artificial intelligence in scientific research and discovery. Students will explore how AI is being used to accelerate research in fields such as physics, chemistry, biology, and environmental science. The course will cover topics such as AI-driven data analysis, simulation and modeling, and the use of AI in hypothesis generation and experimental design. Students will also discuss the ethical implications of AI in scientific research and the potential for AI to democratize access to scientific knowledge.

This course explores the intersection of artificial intelligence (AI) and financial technology (FinTech), focusing on how AI is transforming the financial services industry. Students will learn about AI-driven applications such as algorithmic trading, fraud detection, credit scoring, robo-advisors, and blockchain integration. The course also covers the ethical, regulatory, and societal implications of AI in finance.

This course introduces students to the tools and methods used to evaluate and formulate public policies. Topics include policy design, impact assessment, and decision-making processes. The course explores the growing role of AI in public policy, particularly in data analysis, predictive modeling, and automated decision-making. Students will examine how AI technologies are transforming policy analysis, enhancing the ability to predict outcomes and optimize solutions for complex societal challenges.

This course provides a comprehensive introduction to the principles, strategies, and tools of e-commerce and digital marketing in the modern business environment. Students will explore the dynamics of online business models, digital marketing channels, and the integration of technology to drive customer engagement and sales. Topics include e-commerce platforms, search engine optimization (SEO), social media marketing, content marketing, email marketing, analytics, and the legal and ethical considerations of digital business. Through case studies, hands-on projects, and real-world applications, students will develop the skills necessary to design, implement, and manage effective e-commerce and digital marketing campaigns.

This course explores the application of artificial intelligence techniques to optimize supply chain operations. Students will learn how to use machine learning, optimization algorithms, and predictive analytics to improve demand forecasting, inventory management, logistics, and production planning.

This course explores the principles of human cognition, including perception, memory, learning, and decision-making. Students will examine how these cognitive processes shape behavior and mental function. The course also compares human cognition with AI systems, highlighting differences in learning, problem-solving, and information processing. By analyzing the strengths and limitations of both, students will gain insights into how AI mimics, complements, and contrasts with human cognitive abilities in various contexts.

This course examines the role of AI in the development of smart cities. Topics include urban data analytics, intelligent transportation systems, energy management, and public safety. Students will learn how AI technologies can be leveraged to improve urban living conditions and sustainability. Case studies and real-world projects will be used to illustrate the application of AI in smart city contexts.

This courseexplores fundamental questions about existence, knowledge, morality, and human nature. Students will engage with key philosophical traditions and ethical theories, analyzing concepts such as justice, rights, and the nature of good. The course also examines the ethical implications of artificial intelligence, including issues of autonomy, privacy, and bias in AI systems. Through discussion and critical thinking, students will consider how AI challenges traditional ethical frameworks and shapes modern philosophy.

This course provides a foundational understanding of political systems, governance, political theory, and public policy. Students will explore key concepts such as power, democracy, and political behavior, along with the structure of governments and international relations. Consideration is given to how AI is reshaping political campaigns, governance, and public opinion in the digital age.

This course explores the intersection of technology and the humanities, focusing on how digital and artificial intelligence tools and methods can enhance research in fields like literature, history, and philosophy. Students will learn to analyze and visualize textual, historical, and cultural data using digital technologies. The course includes natural language processing, machine learning, and data mining to uncover new insights and patterns in human culture and historical records.