Introduction to Data Analytics and Artificial Intelligence (3 cr)

Code: TTC2050-3008

General information

Enrollment: 01.11.2022 - 05.01.2023
Registration for the implementation has ended.

Timing: 09.01.2023 - 28.04.2023
Implementation has ended.

Number of ECTS credits allocated: 3 cr

Local portion: 0 cr

Virtual portion: 3 cr

Unit: School of Technology

Campus: Lutakko Campus

Teaching languages: Finnish

Seats: 0 - 210

Degree programmes: Bachelor's Degree Programme in Information and Communications Technology

Teachers: Antti Häkkinen

Groups: TTV21S3
Tieto- ja viestintätekniikka (AMK); TTV21S5
Tieto- ja viestintätekniikka (AMK); TTV21SM
Tieto- ja viestintätekniikka (AMK); TTV21S2
Tieto- ja viestintätekniikka (AMK); TTV21S1
Tieto- ja viestintätekniikka (AMK)

Course: TTC2050

No reservations found for realization TTC2050-3008!

Evaluation scale

0-5

Objective

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

Location and time

Online

Materials

Course material page (lecture materials, exercises)

Teaching methods

Weekly online lectures (lecture material, example exercises led by a teacher)
Distance learning (exercises)

Student workload

Online lectures 35h (lectures, exercises led by a teacher)
Distance learning 46h (exercises)
Total 81h

Assessment criteria, satisfactory (1)

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.

Assessment criteria, good (3)

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.

Assessment 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.

Qualifications

Ohjelmoinnin perusteet

Further information

The assessment of the course consists of returned exercises.