Introduction to Data Analytics and Artificial Intelligence (3 cr)
Code: TTC2050-3025
General information
Timing
09.01.2024 - 11.02.2024
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Online learning
Unit
School of Technology
Teaching languages
- English
Degree programmes
- Bachelor's Degree Programme in Information and Communications Technology
- Bachelor's Degree Programme in Information and Communications Technology
Teachers
- Antti Häkkinen
Groups
-
ZJA24KTIDA1Avoin amk, Data-analytiikka 1, Verkko
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
Verkossa
Learning materials and recommended literature
Opintojakson verkkosivut (luentomateriaali, harjoitukset, nauhoitetut videot)
Teaching methods
Etäopiskelu (harjoitukset, luentomateriaaliin tutustuminen, nauhoitetut videot käytännön esimerkeistä)
Student workload
Verkkoluentomateriaaliin tutustuminen 35h (nauhoitetut luennot, joissa opettajan johdolla tehtäviä harjoitteita)
Etäopiskelu 46h (harjoitukset)
Yhteensä 81h
Further information for students
Opintojakson arviointi muodostuu palautetuista harjoituksista.
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