Online CoursesAccess your program-specific courses tailored to your academic journey. Explore the subjects integral to your program of study.
Teaching MaterialExplore a variety of online resources designed to complement your program's curriculum. From multimedia content to supplementary materials, all resources are at your fingertips.
Academic ProgramsEngage with fellow students within your program in our vibrant learning community. Share insights, ask questions, and collaborate to enhance your academic experience.
In today’s digital landscape, understanding and interpreting data is critical to crafting exceptional user experiences. This module bridges the gap between data analytics and user experience (UX) design, equipping students with the skills to transform raw data into meaningful insights that drive user-centric design decisions. Through real-world case studies, hands-on projects, and design thinking methodologies, students will learn how to gather, analyze, and apply data to optimize usability, enhance user satisfaction, and boost business outcomes. By the end of this course, participants will be able to leverage data strategically to create seamless, data-driven UX solutions.
"The most valuable asset for UX design is not the data itself, but the ability to turn that data into meaningful insights that can drive informed decisions." Jared Spool, a renowned UX designer and founder of User Interface Engineering.
This course delves into the intricate realm of industrial relations, exploring the multifaceted dynamics between employers, employees, and labor organizations. It discusses the theories, principles, and practicalities of managing labor relations in diverse workplace environments. Emphasis is placed on understanding the intricacies of labor-management interactions, the influence of legal frameworks, and contemporary issues shaping industrial relations practices.
This course is designed to teach students the fundamentals of programming, debugging and troubleshooting, data visualization, and algorithmic thinking. The main objectives of this course include developing an understanding of basic coding concepts, applying knowledge of coding and data visualization techniques to solve real-world problems, and gaining the ability to analyze the performance and complexity of algorithms.
The course allows to master the tools of Data Analytics and apply them in different areas of business: finance, marketing, human resources, accounting, production management, etc. Data is important in any business and company as several aspects and processes should be tracked almost in real time (production, quality, sales, customer satisfaction, productivity, etc.).
Business decisions should be taken using reliable, up-to-date and relevant data. This process involves several steps: defining data needs, collecting data, storing and organising, analysing, visualising, forecasting and results’ interpretation. The course Data Analytics allows future decision-makers to master these different stages.
Upon completion of this course, students should be able to:
1. Démontrer une compréhension des différents concepts, et appliquer les bases des dérivées et des intégrales pour résoudre des problèmes dans le cadre des affaires et de l'économie, et par conséquent interpréter les résultats. 2. Appliquer les méthodes de différenciation appropriées pour trouver les dérivées de diverses fonctions, y compris les fonctions logarithmiques et exponentielles.
3. Utiliser la terminologie de l'offre, de la demande, des revenus, des coûts et des profits dans la construction et l'évaluation des fonctions. 4. Interpréter la dérivée comme un taux de changement. 5. Définir et déterminer les méthodes appropriées d'intégration. Intégrer des fonctions en utilisant les techniques appropriées de substitution.
The main goal of this course is to show how microeconomic models can be used to guide business decisions. This is a course designed for business majors, with key departures from standard introductory microeconomics courses. We will study the behaviour of consumers and firms, and their implications for demand, supply and market equilibrium. We will analyse competitive markets, market failures, and the role of government. To reflect rising concentration in markets we will spend some time on the implications of market power on firm pricing decisions and profits. We will discuss various types of market system and study how they work.
This course is designed to teach students the fundamentals of programming, debugging and troubleshooting, data visualization, and algorithmic thinking. The main objectives of this course include developing an understanding of basic coding concepts, applying knowledge of coding and data visualization techniques to solve real-world problems, and gaining the ability to analyze the performance and complexity of algorithms.