Human Computer Interaction and Design

Entry points: Aalto, KTH, Université Paris-Sud (UPS) and University of Twente (UT)

Exit points with specializations:
KTH: Mobile and ubiquitous interaction
AALTO: User Modeling for advanced human-computer interaction
TU Berlin: Multi-modal interaction
UPS: Situated interaction
UT: Intelligent systems
UNITN: Cognitive Interaction
UPM: Accessible and Adaptive Interaction

Professor in charge:

Marko Nieminen

Other professors of the major:

Samuel Kaski

 

David McGookin

Academic coordinator:                             

Mika P. Nieminen

Objectives of the programme

Human Computer Interaction and Design (HCID) focuses on the study, design, development and evaluation of novel user interfaces and interactive systems taking into account human aspects, at the cognitive and sensory-motor levels, technological aspects, as well as business aspects.

New ICT technologies are transforming our daily lives. Smart devices (mobile phones, PDAs, tablet computers), smart products (car, navigation) and smart environments (ambient intelligence) are enabling new services such as navigation, information providing, learning, making reservations or buying of goods are delivered.

Increasingly, the interaction with these devices is not through simple buttons or keystrokes but with more flexible and intuitive interaction methods such as multi-touch, speech, gestures, and with advanced display systems such as augmented and virtual reality. Smart devices and services are also able to show intelligent behaviour recognizing intentions of the user and anticipating the user’s needs. These technologies are central in Human-Computer Interaction and Design.

The design of intuitive user interfaces, however, is not only a matter of the right technology but also a matter of good interaction design: study user’s social and cognitive behaviour in relation to using technology, taking the user as a central driver for design, designing for the right user experience, andtesting and evaluating the design within context, are keys to understanding and designing successful user experience.

Entry year at Aalto

First autumn 2017

Compulsory major courses (13 ECTS)

Code Course name Credits

 LC-xxxx

Language course: Compulsory degree requirement,
both oral and written requirements *

3 ECTS

CS-E4900

User-Centered Methods for Product and Service Design

5 ECTS

Select one of the following courses:

CS-E5220

User Interface Construction

5 ECTS

ELEC-E7851

Computational User Interface Design

5 ECTS

(*) See ‘Language courses for all majors’ above.

 

Compulsory I&E Courses (7 ECTS)

Code Course name Credits

CS-E5100

Introduction to IT Business and Venturing

2 ECTS

CS-E5110

Management of a Technology Venture

5 ECTS

 

First spring 2018

Compulsory major courses (20 ECTS)

Code Course name Credits

CS-E5200

Design Project

10 ECTS

CS-E5210

Usability Evaluation

5 ECTS

CS-E4200

Emergent User Interfaces

5 ECTS

 

Compulsory I&E Courses (17 ECTS)

Code Course name Credits

TU-E4100

Startup Experience

9 ECTS

CS-E5440

Growth and Internationalization of Technology SMEs

4 ECTS

CS-E5430

ICT Innovation Summer School

4 ECTS

 

Optional major courses - Select at least 3 ECTS over the two semesters:

Code Course name Credits Semester

CS-C3120

Human-Computer Interaction

5 ECTS

autumn

CS-E3210

Machine Learning: Basic Principles 

5 ECTS

autumn

CS-C3100

Computer Graphics

5 ECTS

autumn

CS-E4400

Design of WWW services

4 ECTS

autumn

CS-E4840

Information Visualization

5 ECTS

spring

CS-E4800

Artificial Intelligence

5 ECTS

spring

CS-E5520

Advanced Computer Graphics

5 ECTS

spring

Total for the whole year: 60 ECTS

 

NOTE about master's thesis: In some exit universities, requirements for a master's thesis may be different from Aalto's requirements. A master's thesis done according to the requirements of such an exit university is accepted at Aalto. However at Aalto the thesis is evaluated according to the guidelines of Aalto. If a section of a thesis is not adequate in terms of Aalto's requirements, it may affect the grade of the thesis. Guidelines for master's thesis evaluation are available in Into: https://into.aalto.fi/display/enmastersci/Master%27s+thesis

Note also: According to Finnish legislation, a master's thesis is a public document and its contents cannot be confidential. Therefore, the material of the thesis must be chosen so that it does not include any information that could be classified as a business secret of the financing company.

Exit year at Aalto

Aalto specialization – User Modeling for advanced human-computer interaction

Second autumn 2017

Compulsory major courses (8 ECTS)

Code Course name Credits

 LC-xxxx

Language course: Compulsory degree requirement,
both oral and written requirements *

3 ECTS

CS-E3210

Machine Learning: Basic Principles (If basics done at entry university,
select more electives)

5 ECTS

(*) See ‘Language courses for all majors’ above.

 

Compulsory I&E Courses (6 ECTS)

Code Course name Credits

CS-E5425

I&E Study Project

6 ECTS

 

Optional courses (16 ECTS)

Code Course name Credits Period

CS-E4890

Deep Learning

5 ECTS

autumn

CS-E4850

Computer Vision

5 ECTS autumn

ELEC-E5510

Speech Recognition

5 ECTS

autumn

ELEC-E7851

Computational User Interface Design

5 ECTS

autumn

CS-E5004

Individual Studies in Software and Service Engineering

1-10 ECTS

autumn/spring

CS-E4070

Special Course in Machine Learning and Data Science

3-10 ECTS

autumn/spring

CS-E4870

Research Project in Machine Learning and Data Science

5-10 ECTS

autumn/spring

CS-E4600

Algotithmic Methods of Data Mining

5 ECTS

autumn

CS-E4000

Seminar in Computer Science

5 ECTS autumn/spring
CS-E4002 Special Course in Computer Science 1-10 ECTS autumn/spring
CS-E4003 Special Assignment in Computer Science 1-10 ECTS autumn/spring
CS-E4004 Individual Studies in Computer Science 1-10 ECTS autumn/spring

Total: 30 ECTS

 

Second spring 2018

Code Course name Credits

CS.thes

Master’s Thesis

30 ECTS

Total for the whole year: 60 ECTS 

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