INFORMATION AND COMMUNICATION ENGINEERING DEGREE: FROM DATA TO AI 2022

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INFORMATION AND COMMUNICATION ENGINEERING DEGREE: FROM DATA TO AI 2022

2022

Structure
Description

Classification

Select visible years, semesters and periods (when only one year is selected) by clicking buttons below. (S = Spring, A = Autumn)

Year of study 1 2 3 4

Semesters 1A 1S 2A 2S 3A 3S 4A 4S

Periods 1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4

Search:	ECTS	1	2	3	4	1A	1S	2A	2S	3A	3S	4A	4S	1	2	3	4	1	2	3	4	1	2	3	4	1	2	3	4
LANGUAGE AND COMMUNICATION SKILLS
Technical Communication	3
Thesis method studies and writing	2
ICT Swedish	3
Intercultural Communication	3
	4
		3	10	2	0	3	0	3	7	0	2	0	0	1.5	1.5	0	0	1.5	1.5	3.5	3.5	0	0	1	1	0	0	0	0
STUDIES IN MATHEMATICS AND SCIENCE
Algebra	3
Physics 1	3
Physics 2	3
		9	0	0	0	6	3	0	0	0	0	0	0	3	3	1.5	1.5	0	0	0	0	0	0	0	0	0	0	0	0
PROGRAMMING AND SOFTWARE DEVELOPMENT
Basics of programming	5
Modern software development	5
Data structures and algorithms	5
Elements of AI	2
Python programming	5
		22	0	0	0	17	5	0	0	0	0	0	0	8.5	8.5	2.5	2.5	0	0	0	0	0	0	0	0	0	0	0	0
DATA MANAGEMENT
Data Sources and Databases	5
Telecommunications Programming	5
Advanced Methods of Data Processing	5
Data-Driven Business and Business Intelligence	3
Data science mathematics 1	3
Information security, cybersecurity and ethics	3
	5
		26	3	0	0	3	23	3	0	0	0	0	0	1.5	1.5	9	14	1.5	1.5	0	0	0	0	0	0	0	0	0	0
MACHINE LEARNING AND DATA ANALYTICS
Introduction to machine learning	5
Network and tree structures	3
Data platforms	3
Data science mathematics 2	3
Data science mathematics 3	3
Events and seminars	3
Project studies 2 - Machine learning	5
		0	25	0	0	0	0	25	0	0	0	0	0	0	0	0	0	11.5	13.5	0	0	0	0	0	0	0	0	0	0
ARTIFICIAL INTELLIGENCE AND DEEP LEARNING
Deep learning 1	5
System design	3
Introduction to digital signal processing	3
Customer- and user-centered design	5
Data science mathematics 4	3
Project studies 3 - Applying artificial intelligence	5
		0	24	0	0	0	0	0	24	0	0	0	0	0	0	0	0	0	0	13.5	10.5	0	0	0	0	0	0	0	0
DIGITAL SERVICES AND BIG DATA
Online learning	5
Deep learning 2	5
Web application development	5
Big data analytics and business	5
Project studies 4 - Digital services	6
		0	0	26	0	0	0	0	0	26	0	0	0	0	0	0	0	0	0	0	0	12.5	13.5	0	0	0	0	0	0
AI AND DATA ANALYTICS IN BUSINESS
AI customer project 1	5
AI customer project 2	5
AI-customer project 3	5
		0	0	15	0	0	0	0	0	0	15	0	0	0	0	0	0	0	0	0	0	0	0	7.5	7.5	0	0	0	0
ALTERNATIVE PROFESSION STUDIES (Choose one)
FROM DATA TO AI SPECIALIZATION STUDIES (Select 15 ECTS)
Advanced ICT or AI project 1	5
Advanced ICT or AI project 2	5
Advanced ICT or AI project 3	5
Advanced ICT or AI course 1	5
Advanced ICT or AI course 2	5
Advanced ICT or AI course 3	5
ENTREPRENEURIAL STUDIES
Customer Oriented Marketing	3
Contract and Corporate Law	3
Leadership	3
Management Accounting	3
Business Planning	3
		0	0	15	0	0	0	0	0	0	15	0	0	0	0	0	0	0	0	0	0	0	0	7.5	7.5	0	0	0	0
FREE-CHOICE STUDIES (Select 15 ECTS)
Introduction to Data Processing	2
LabVIEW Programming and Applications	3
ICT summer project I	5
ICT summer project II	5
ICT summer project III	5
Elements of Supercomputing	1
		2	0	0	0	2	0	0	0	0	0	0	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0
PRACTICAL TRAINING
Practical Training	30
		0	0	0	30	0	0	0	0	0	0	30	0	0	0	0	0	0	0	0	0	0	0	0	0	15	15	0	0
THESIS
Thesis	15
		0	0	0	15	0	0	0	0	0	0	0	15	0	0	0	0	0	0	0	0	0	0	0	0	0	0	7.5	7.5
ECTS credits per period / semester / academic year		60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60	60

The curriculum has been planned so that the student completes about 60 ECTS credits per academic year and about 30 ECTS credits per semester

Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.

FROM DATA TO ARTIFICIAL INTELLIGENCE (AI)

From Data to Artificial Intelligence (240 ECTS) specializes in data management and processing as well as the development of artificial intelligence solutions. Key areas for practical training include 1) programming, 2) data processing and management, 3) computing environments, 4) data analysis, 5) machine learning and artificial intelligence, and 6) use of artificial intelligence in business and digital services.

The special features of the curriculum are the emphasis on project-based learning, the integration of basic and professional subjects into project studies, enterprise-oriented development tasks, online courses as well as the possibility of studying also during the summer.

It is possible for the course participants to have their previous education and other competence accredited based on proposals that they submit to the university of applied sciences. There are separate instructions for accreditation procedures in the Study Guide.