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Complementary competence and optional courses, Masters

Credits:
60 ects

Your Combo - Complementary competence courses available 2023-2024 (Master's), Lahti and Lappeenranta
Code
(LABYTO23H)
Your Combo - Complementary competence courses available 2022-2023 (Master's)
Code
(LABLTIYTO22H)
Your Combo - Complementary competence courses available 2021-2022 (Master's), Lahti
Code
(LABYTO21LTI)
Your Combo - Complementary competence courses available 2020-2021 (Master's), Lahti
Code
(LABYTO20LTI)
Your Combo - Complementary competence courses available 2019-2020 (Master's)
Code
(LAYTO19)
Enrollment

15.05.2023 - 01.09.2023

Timing

01.10.2023 - 15.11.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lahti Campus

Teaching languages
  • Finnish
Degree programmes
  • Complementary competence and optional courses, Masters
Teachers
  • Eeva Aarrevaara
  • Juha Poskela
  • Raine Vihelmaa
Groups
  • LLTIYTO23H
  • HLTIYTO23H
  • TLTIYTO23H
  • MLTIYTO23H

Implementation and methods of teaching

The 72h traffic challenge will be implemented as an intensive period from 7 November to 10 November 2023 on the Lahti campus and partly also in other locations in the city center. The students are divided into multidisciplinary groups, which are given a development task on the first day. The contact days include various expert lectures and plenty of group work, which is also sparred by professionals from different fields.

The assignment materials are in both Finnish and English. Groups can work in either Finnish or English.

Timing and attendance

Intensive week 7-10 November 2023. The student must participate in the entire program in order to receive an approved performance.

Learning material and recommended literature

Background material is introduced to the students in the beginning of the week.

Alternative completion methods

No other options to pass the course.

Working life cooperation

The intensive course is based on strong working life cooperation, which involves several public and private organizations and companies. The city of Lahti has chosen the task of developing the course.

Exam retakes

No chance to repeat.

Learning environment

The program for different days takes place in the following places:
Start on Tuesday 7.11. Isku Areena, Svinhufvudinkatu 29
Other locations in Lahti: Lahti Science Park, Niemenkatu 73, Sibeliustalo, Ankkurikatu 7
The working premises are reserved at the Lahti campus, Mukkulankatu 19

Student time use and work load

The program consists of the following day programs, part of which is for introductions, expert meetings and part is reserved for group work:
Tuesday 7.11. from 11 am to 8 pm
Wednesday 8.11. from 8:30 a.m. to 8:00 p.m
Thursday 9.11. 8 a.m. to 8 p.m. (mainly working)
Friday 10.11. 8-11 a.m. final group presentations, from 12:30 p.m. announcement of results and distribution of prizes

Contents

The detailed content will be presented to the participants on the first day.

Additional information for students: previous knowledge etc.

No prior knowledge is required.

Assessment criteria

Group work is evaluated by a panel of experts based on the following criteria:

The evaluation criteria for the competition works (total 100 points) consist of the following parts:
Answering the objectives 25 p
Innovativeness and vision 20 p
Group work 10 p
Utilization of media 15 p
Feasibility 10 p
Reporting 10 p
Presentation 10 p

Assessment scale

1-5

Failed (0)

The work and its results do not meet the requirements of the evaluation criteria.

Assessment criteria: level 1 (assessment scale 1–5)

Working and the results of group work correspond to the requirements of the evaluation criteria at the basic level.

Assessment criteria: level 3 (assessment scale 1–5)

The work and the results of the group work well meet the requirements of the evaluation criteria.

Assessment criteria: level 5 (assessment scale 1–5)

The work and the results of the group work perfectly meet the requirements of the evaluation criteria.

Enrollment

15.05.2023 - 01.09.2023

Timing

27.11.2023 - 30.11.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages
  • Finnish
Seats

10 - 40

Degree programmes
  • Complementary competence and optional courses, Masters
  • Master’s Degree Programme in Engineering, from IoT to AI
Teachers
  • Henri Koukka
  • Erjaleena Koljonen
  • Minna Asplund
Scheduling groups
  • Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
  • TLTIYITT23SV
Small groups
  • Verkkoluento 1

Learning outcomes

The student is able to
- examine the properties of the data in terms of further processing
- utilize mathematical methods in data analysis
- utilize a modern statistical tool
- visualize data and analysis in a way that utilizes further processing
- produce a reproducible research

Assessment scale

1-5

Enrollment

01.08.2023 - 31.05.2024

Timing

01.08.2023 - 20.06.2024

Number of ECTS credits allocated

2 op

Virtual portion

2 op

Mode of delivery

Distance learning

Unit

Faculty of Business and Hospitality Management (LAB)

Campus

E-campus

Teaching languages
  • Finnish
Degree programmes
  • Complementary competence and optional courses, Masters
Teachers
  • Petra Yli-Kovero
Groups
  • LLABTO23-24

Assessment scale

Approved/Failed

Enrollment

15.05.2023 - 01.09.2023

Timing

16.10.2023 - 19.10.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages
  • Finnish
Degree programmes
  • Complementary competence and optional courses, Masters
  • Master’s Degree Programme in Engineering, from IoT to AI
Teachers
  • Matti Welin
  • Tommi Veijalainen
Scheduling groups
  • Luennot 1 (Size: 0. Open UAS: 0.)
Groups
  • TLTIYITT23SV
Small groups
  • Luennot 1

Learning outcomes

The student is able to
- understand the contribution of IoT to the significant increase in the amount of data, understand the nature of sensor data and know the basic principles of data processing at the sensor level
- understand the basic structure of IoT devices
- store measurement results in a database and understand the usability of time series databases
- transfer the measurement results to the cloud service using the standard IoT protocol
- describe the structures of different IoT network architectures and their integration into larger information systems
- take into account the specific security risks of IoT technologies

Assessment scale

1-5

Enrollment

15.05.2023 - 01.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

10 op

Virtual portion

10 op

Mode of delivery

Distance learning

Unit

Faculty of Health Care and Social Services (LAB)

Campus

E-campus, Lahti

Teaching languages
  • Finnish
Seats

0 - 10

Degree programmes
  • Complementary competence and optional courses, Masters
Teachers
  • Päivi Kousa
Groups
  • HLPRYKL21S
  • HLPRYTO22H
  • HLTIYKL22S
  • HLTIYTO22H

Learning outcomes

The student is able to
- analyze and apply evaluation methods for the quality and effectiveness of occupational health care and utilize the results to develop the operations of occupational health care
- analyze and apply various strategies of management in occupational health care as well as develop management practices and planning processes

Assessment scale

Approved/Failed

Enrollment

15.05.2023 - 15.09.2023

Timing

21.10.2023 - 31.12.2023

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Institute of Design and Fine Arts (LAB)

Campus

Lahti Campus

Teaching languages
  • Finnish
Degree programmes
  • Complementary competence and optional courses, Masters
Teachers
  • Sara Ikävalko
Scheduling groups
  • Luennot (Size: 0. Open UAS: 0.)
Groups
  • MLPRYKUVA23S
  • MLTIYMUAS23S
    Design Thinking and Customer Experience
  • MLTIYTO23H
Small groups
  • Luennot 1

Learning outcomes

The student is able to
- take into account the public sector's task, practices and operating environment in design processes related to the public sector
- use the diverse information acquisition methods required by the public sector organizational environment
- analyze the essential information for community sector development work
- execute design for community sector environments with interactive, participatory and crowdsourcing ways
- use emphatic design and visual means as a tool for interaction and development
- take in the design processes into consideration special features of urban space and product environment (e.g. design for all, safety, urban planning, acquisitions)

Assessment scale

1-5

Enrollment

15.05.2023 - 01.09.2023

Timing

04.09.2023 - 15.12.2023

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages
  • Finnish
Degree programmes
  • Complementary competence and optional courses, Masters
  • Master’s Degree Programme in Engineering, from IoT to AI
Teachers
  • Matti Welin
  • Rami Viksilä
Scheduling groups
  • Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
  • TLTIYITT23SV
Small groups
  • Verkkoluento 1

Learning outcomes

The student knows
- the basics of using the command line in the development and production environment of digital services
- how to compare and leverage virtualization as part of resource-efficient design and implementation of digital services
- how to design and implement a digital service using virtualization and cloud services on a selected platform
- how to discuss and justify the choice of virtualization and cloud services as a platform for digital services.

Assessment scale

1-5