I'M A.I. - Artificial Intelligence for Image Data

The Learning Outcomes for the minor are:

1. The student selects, applies and tests, within a team and methodologically correct, machine-learning algorithms that automate visual inspections that meet the project’s specifications.
2. The student creates and manages, under supervision, a representative annotated and balanced dataset with the required quality to test machine-learning algorithms.
3. The student develops themself as a professional.

Within the minor programme knowledge and skills are integrated with applied research. Students explicitly work on the learning outcomes with the projects they complete in that semester. The portfolio created throughout the semester is used as evidence by the students to show they have achieved the learning outcomes. The semester is devided in five sprints of a month, in a way that the student iteratively works towards the end product and final portfolio.

The recommended knowledge is:

• Demonstratable programming experience in Python;
• English language proficiency to communicate technical work adequately;
• Willing to dive into image data analysis and applied research.

To ensure the quality of the programme we also apply a maximum enrolment of students per semester. The first come - first serve principle is applied.

Indicators
The minor programme will look at these indicators in determining whether the recommended knowledge has been met.
Programming – The prospective student is able to demonstrate and explain code and is able to use:

• Debugging tools for Python.
• Libraries like NumPy.
• Package managers like Anaconda and pip.
• Operating systems Linux and Windows.

English – The prospective student is able to communicate technical work adequately in writing and verbally.

Motivation – The prospective student is motivated to:

• Learning more about image data analysis.
• Solving real-life research questions by programming.
• Doing a full-time minor programme of a semester.

Impression
The prospective student should be comfortable with Python programming of medium-sized Python scripts and especially has experience using PyCharm + Debugging. To give an impression of the required level of scientific programming skills we provide the following exercises.

For Python we advise to do this challenge https://github.com/Asabeneh/30-Days-Of-Python (at least the first 13 days, but also have a look at day 14) and for NumPy these exercises https://www.machinelearningplus.com/python/101-numpy-exercises-python/.

Within the minor we use PyCharm, so when practicing with Python we advise to use that IDE. Installing it from https://www.jetbrains.com/pycharm with an NHL Stenden University account gives a free download link to the professional edition.

Admission Procedure
During an intake interview, the minor programme determines whether the prospective minor student meets the required starting level expertise. The minor organizes a number of intake days per year, for which prospective students are invited in order of registration. All communication and documentation mentioned within this procedure is in English.
The basis for the intake is a motivation letter and CV that the prospective student submits in preparation for the intake interview. Within the motivation letter and the CV the prospective student provides evidence for meeting the admission requirements. In preparation for writing the motivation letter and the intake interview, prospective students are asked to study the exercises mentioned above.

First it is determined whether the student is admissible according to the quantitative requirements (maximum number of students per semester). If so, subsequently, the student is invited for an intake. During the intake interview the prospective student is asked to explain some of their own code to provide the admission board further insight on the level of programming experience. At the end of the intake, it is determined whether the student is admissible according to the qualitative requirements. The student will be either admitted or rejected.
The result of the intake will be communicated with the student within five working days following the intake interview.

Applying and contact information
To register for this minor, you can send your motivation letter and CV via the red 'online form' button below. You can also use this button for other questions.