Data science (5 cr)

Objective

You understand how machine learning relates to data science.
You know the basics of data collection.
You are familiar with statistical methods used in exploratory data analysis.
You understand the significance of statistics in data science.
You can apply machine learning models in data science.
You can program advanced machine and deep learning models

Content

What machine learning models are used in data science?
How are advanced machine learning models programmed and fine-tuned?
What are the application areas of machine learning?
What is meant by statistical methods in data science?

Evaluation

a. use professional vocabulary and concepts extensively and proficiently in different situations.
b. justify their information sources in a versatile and critical way.
c. work innovatively and independently in working life expert duties and creatively identify and solve the problems of the professional field.
d. promote and develop operations in customer/client, user and target group situations.
e. assess and develop models, methods, software and techniques.
f. manage and develop team work.
g. promote the application of ethical principles in unfamiliar situations.

Evaluation scale

1-5

Qualifications

Advanced knowledge of machine learning and deep learning is required.