This course is designed for students with no or very basic programming experience, offering a dive into the essentials of Python programming. Starting with Control Structures and moving through Functions, Modules, and Data Structures, it lays a solid foundation in coding principles. The course covers String Manipulation, Regular Expressions, and File Handling, before advancing to Data Analysis using Data Frames and Visualization techniques. This course gives the required programming foundations for the AI courses in Block 2 of the minor.

Operations Management (OM) is concerned with planning, organizing, managing, controlling and supervising the entire production process that converts inputs, such as labor and energy, into outputs, such as goods and services. OM plays a vital role in any type of business. It involves similar management for every industry or business irrespective of their nature of the operation. It is the management of the various business activities that take place within an organization and contributes in making the products to align with customer’s requirements. Under OM, there is the optimum utilization of resources leading to enormous profits of the organization.

‘Life's too short to build something nobody wants’ Ash Maurya
This course teaches you how to turn ideas, visions, and broad and sweeping goals into a company. Using recent insights in entrepreneurial and innovation-driven organisations, the course will guide you in developing an enterprise ‘the start-up way’.
Why ‘developing an enterprise’? We are in favour of learning by doing, so we want to make this course very practical: with a group you will generate a business model for an enterprise that you might actually want to establish in real life. Creating a real company is not mandatory within this course, but it has been known to happen.
Why ‘the start-up way’? The definitions of what a start-up is (there are many) often contain texts like ‘planning to grow fast’, ‘innovative products/services’, ‘disrupt a market’. You need not develop an innovative, disruptive start-up within this course, but we do want to use the start-up way of working as it allows for iteration, experimentation and fast learning. This is a very practical course with an emphasis on learning by doing. And the learning by doing is mostly done through group work.
The course will be of interest to those who are considering establishing their own enterprise and to those that want to know more about the start-up approach in general.

Artificial intelligence (AI) is changing the ways organizations are performing and making decisions. This course analyzes relevant aspects of AI and how AI influences firms’ decisions and stakeholders. This course introduces some of the most popular AI tools, focusing on these methods' intuitions and exploring their business applications to real-life business cases. This course adopts a hands-on approach in implementing these AI tools using Python, a powerful programming language used widely to tackle and solve machine learning problems. To sum, the course helps students to understand, analyze, and tackle business problems using AI tools.

The Business Analytics course is designed to equip students with the skills and knowledge necessary for mastering analytics and data science in the business world. The course delves into Visual Analytics, teaching students how to effectively interpret and present data visually. Data Collection is covered next, focusing on techniques for gathering accurate and relevant data.
In the Pre-processing session, students are introduced to methods for preparing data for analysis. This is followed by a critical component on Missing Data Imputation and Outlier Detection, essential for ensuring data quality and reliability. The course then explores the Evaluation of Machine Learning models, providing insights into model performance and accuracy.
Explainable AI, which demystifies the decision-making processes of AI systems, and Fair AI and Ethics, which addresses the ethical considerations and biases in AI applications, are also included. The course has a balanced mix of theory and practice and uses two real-world use-cases for practical assignments.