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.
The course provides students with practical knowledge of using AI techniques and different scientific management frameworks to tackle significant strategy problems. At the end of the course, students will be able to:
to draw insight about internal and external factors that influence strategy process, using Python;
to predict the outcome of different scenarios or propositions, using Python;
to employ techniques to learn systematically from past events;
to describe the differences between different analytical approaches for describing, predicting, and explaining.
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.
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 includes a mix of individual and group assignments and a final exam. The details are as follows:
Course homework: 15%
Class participation: 10%
Group Project: 35%
Final Exam: 40%
Reading list will be announced.
You need to do two steps:
1. Fill in this link;
2. 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 firstname.lastname@example.org
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 are responsible for enrolling themselves for (partial) exams/retakes.
The deadline for enrolling for an exam/retake is 14 calendar days before the exam/retake takes place (exam date - 14 = deadline enrolling date).
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).
It is not possible to do retakes for group assignments. Therefore, if students fail the group assignment component, they fail the course.
Students pass the course if the final mark 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).
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 (email@example.com) 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 firstname.lastname@example.org 10 days before the exam/retake takes place.