Curricula

Objectives

Purpose and objectives:
The course gives you an overview of the methods of data analytics and artificial intelligence, their possibilities and applications as well as the most commonly used programming environments and libraries.

EUR-ACE Competences:
Knowledge and Understanding
Engineering Practice

Content

Definitions of data analytics and artificial intelligence
Practical applications of artificial intelligence
Examples and principles of machine learning and neural networks
Data analytics programming languages and environments: Python, R, Anaconda, Pandas

Time and location

Online

Learning materials and recommended literature

Course website (lecture material, exercises, recorded lecture videos)

Teaching methods

Distance learning (exercises, familiarization with lecture material, recorded videos of practical examples)

Student workload

Getting to know the online lecture material 35 hours (recorded lectures with teacher-led exercises)
Distance learning 46 hours (exercises)
A total of 81 hours

Further information for students

The evaluation of the course consists of returned exercises.

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1: You recognize some of the most important methods, possibilities and applications of data analytics or programming environments used in them.

Satisfactory 2: You recognize some of the most important methods, possibilities and applications of data analytics and programming environments used in them.

Evaluation criteria, good (3-4)

Good 3: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them.

Very good 4: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand some principles of artificial intelligence methods.

Evaluation criteria, excellent (5)

Excellent 5: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand the most important principles of artificial intelligence methods.

Prerequisites

Ohjelmoinnin perusteet