040400 KU Introduction to Programming for Business Students (BA) (2026S)

This course is designed to provide students with a foundation in the principles of programming logic by utilizing the Python programming language and environment. The course is designed to assist students in developing an understanding of how to apply programming solutions and related algorithmic thinking to address common business and decision-making problems. They have knowledge of Python syntax, data structures (data types, variables, operators, etc.), and control structures (conditional statements, loops) as well as standard I/O, functions, and exception handling. They know how to access file systems and are familiar with important libraries for data analysis. Finally, they will learn how to benefit from AI (i.e., ChatGPT, Gemini) in an ethical way in order to write Python codes and to resolve debugs in the code.

The course employs a blended learning format, integrating in-person and distance learning components. The students are provided with the relevant course material in advance, which are addressed in class. During the course, students are assigned various tasks and provided with illustrative examples (typical problems in programming and data analysis) to solve. This enables students to evaluate their ability to apply their knowledge. The potential outcomes of these tasks and illustrative examples are discussed in the class. For specific topics, there are additional examples and tasks, which are solved together in class. It is imperative that students can engage in reflective practices and engage in discussions about problems in the class. At the end of the lectures, students will be given an exercise as homework, and they must submit their solutions to Moodle within one week. In addition, one or two of the students will solve and explain this exercise in front of the class in the next lecture.

Students should bring their personal computers. For those who do, the installation and setup of Python will be covered at the beginning of the course. Having Python installed locally will be helpful for working on assignments and the final project outside of class.

No prior experience in programming is necessary. It is expected that students have the fundamental computer skills encompass the ability to navigate webpages, run software applications, and manage documents.

This course is designed to provide students with a foundation in the principles of programming logic by utilizing the Python programming language and environment. The course is designed to assist students in developing an understanding of how to apply programming solutions and related algorithmic thinking to address common business and decision-making problems. They have knowledge of Python syntax, data structures (data types, variables, operators, etc.), and control structures (conditional statements, loops) as well as standard I/O, functions, and exception handling. They know how to access file systems and are familiar with important libraries for data analysis. Finally, they will learn how to benefit from AI (i.e., ChatGPT, Gemini) in an ethical way in order to write Python codes and to resolve debugs in the code.

The course employs a blended learning format, integrating in-person and distance learning components. The students are provided with the relevant course material in advance, which are addressed in class. During the course, students are assigned various tasks and provided with illustrative examples (typical problems in programming and data analysis) to solve. This enables students to evaluate their ability to apply their knowledge. The potential outcomes of these tasks and illustrative examples are discussed in the class. For specific topics, there are additional examples and tasks, which are solved together in class. It is imperative that students can engage in reflective practices and engage in discussions about problems in the class. At the end of the lectures, students will be given an exercise as homework, and they must submit their solutions to Moodle within one week. In addition, one or two of the students will solve and explain this exercise in front of the class in the next lecture.
Students should bring their personal computers. For those who do, the installation and setup of Python will be covered at the beginning of the course. Having Python installed locally will be helpful for working on assignments and the final project outside of class.

No prior experience in programming is necessary. It is expected that students have the fundamental computer skills encompass the ability to navigate webpages, run software applications, and manage documents.

This course is designed to provide students with a foundation in the principles of programming logic by utilizing the Python programming language and environment. The course is designed to assist students in developing an understanding of how to apply programming solutions and related algorithmic thinking to address common business and decision-making problems. They have knowledge of Python syntax, data structures (data types, variables, operators, etc.), and control structures (conditional statements, loops) as well as standard I/O, functions, and exception handling. They know how to access file systems and are familiar with important libraries for data analysis. Finally, they will learn how to benefit from AI (i.e., ChatGPT, Gemini) in an ethical way in order to write Python codes and to resolve debugs in the code.

The course employs a blended learning format, integrating in-person and distance learning components. The students are provided with the relevant course material in advance, which are addressed in class. During the course, students are assigned various tasks and provided with illustrative examples (typical problems in programming and data analysis) to solve. This enables students to evaluate their ability to apply their knowledge. The potential outcomes of these tasks and illustrative examples are discussed in the class. For specific topics, there are additional examples and tasks, which are solved together in class. It is imperative that students can engage in reflective practices and engage in discussions about problems in the class. At the end of the lectures, students will be given an exercise as homework, and they must submit their solutions to Moodle within one week. In addition, one or two of the students will solve and explain this exercise in front of the class in the next lecture.

Students should bring their personal computers. For those who do, the installation and setup of Python will be covered at the beginning of the course. Having Python installed locally will be helpful for working on assignments and the final project outside of class.

No prior experience in programming is necessary. It is expected that students have the fundamental computer skills encompass the ability to navigate webpages, run software applications, and manage documents.