Students should already be familiar with some form of coding (to pick up using Python quickly).
This course gives an introduction to using AI for Strategic Decision making, combining academic theory and AI techniques. The course's focus is on understanding the intuitions behind these AI techniques and how they can be applied in the context of strategic decision-making. This course adopts a hands-on approach to implementing these AI tools using Python.
Note: this course uses Python as the coding language for all the sessions, the group project, and the individual assignment. Therefore, completing the course requires a knowledge of Python. The course does not explicitly teach how to code in Python; rather, it focuses on applying AI techniques to business problems, using Python. The course does not require students to know Python ahead of time, but the students need to learn this language during the class — there will be ample learning resources. This might be an immense effort for people who don't have any coding experience.
Upon successful completion, students will be able to:
understand how AI is changing the business landscape;
analyze AI impacts on our understanding of business;
evaluate AI impacts on some of the key stakeholders;
use machine learning techniques to solve business problems.
Check MyTimetable and use your ULCN account to login.
You will find the timetables for all the courses and degree programme in MyTimetable. This enables you to create a personal timetable. Any teaching activities that you have registered for in uSis will automatically be displayed in your timetable. Any timetables that you add will be saved and automatically displayed the next time you sign in.
Check MyTimetable (manual) and use your ULCN account to login.
Detailed table of contents can be found in Brightspace.
Mode of instruction
6 lectures (2 hours per lecture).
The course emphasizes interactive teaching. Classes start with a brief reflection on the past sessions. Lectures will provide a short introduction followed by (prepared) case presentations and class discussion. Active participation in the class discussion is required to attain the learning goals.
The course assessment details are as follows:
Class participation: 10%
Group project: 45%
Final individual assignment: 45%
Reading list will be announced.
Sign up for classes and examination in uSis (in time).
There is only limited capacity for external students. Please contact the programme Co-ordinator
For all your questions you can contact email@example.com
Note: If you are an ICTiBPS student, you can contact the programme coordinator of ICTiBPS for any questions about your program.
Students are responsible for enrolling/unenrolling themselves for (partial) exams/retakes.
Students who do not enroll themselves for an exam/retake by the deadline are not allowed to take the exam/retake.
Students fail the course if any of the partial components (except the exam) that make up the final mark of the course is assessed below 4.0.
Students fail the course if the grade for the (final) exam is assessed below 5.0.
The final grade is expressed as a whole or half number between 1.0 and 10.0, including both limits. The result is not to be expressed as a number between 5.0 and 6.0.
If one of the components of the final mark constitutes a component that assesses attendance or class participation, students cannot take a retake for this component. Therefore, students fail the course if their mark for this component is less than 4.0.
Partial grades, inclusive the exam grade will not be rounded. If partial grades will be communicated, it is possible partial grades are rounded, but unrounded partial grades will be used in the calculation of the final grade. The final grade will be rounded at 0.5 (5.49 will rounded down to a 5 and a 5.5 will be rounded up to a 6.0).
Students pass the course if the final grade is 6.0 or higher (5.49 will rounded down to a 5 and a 5.5 will be rounded up to a 6.0).
It is not possible to do retakes for group assignments. Therefore, if students fail the group assignment component, they fail the course.
For courses, for which class participation is an assessment component, students may not be penalised for an absence if the student has a legitimate justification for this absence. The student must notify the program coordinator via email (firstname.lastname@example.org) of such an absence BEFORE the lecture, describing the reason for missing the lecture. If the student does not notify the program coordinator before the lecture, the student will be penalised. Students may be required to provide further documentation to substantiate their case, and class attendance requirements are only waived under exceptional circumstances such as illness.
Students who are entitled to more exam/retake time must report to email@example.com 10 days before the exam/retake takes place.