Master s Degree Programme in Computer, Communication, and Information Sciences. Petri Vuorimaa

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1 Master s Degree Programme in Computer, Communication, and Information Sciences Petri Vuorimaa

2 Agenda 10:15-11:00 CCIS-ohjelman esittely (TU1) CCIS-ohjelma (Petri Vuorimaa) Computer Science -pääaine(petri Vuorimaa) Communications Engineering-pääaine(Jyri Hämäläinen) Software and Service Engineering -pääaine (Marjo Kauppinen) Mobile Computing, Services and Security (Antti Ylä-Jääski) Acoustics and Audio Technology -pääaine(lauri Savioja) Machine Learning and Data Mining (Samuel Kaski) Signal, Speech, and Language Processing (Jorma Skyttä) Game Design and Production (Petri Vuorimaa) 11:00-11:15 Polutmuihin ohjelmiin (TU1) Lisäinformaatiota muista ohjelmista SCIn opiskelijoille 11:00-12:30 Ohjelmamessut Pääaineiden standit luentosalin TU1 ulkopuolella Jokaiselta pääaineeta vähintään yksi edustaja 11:15-12:00 Siirtymisklinikka(ELEC & SCI TU1) Klinikat opiskelijoille, joilla on jo DI-opintoja ja jotka aikovaat siirtyä CCIS-ohjelmaan Siirtymäsäännösten esittely Opiskelijoiden kysymykset ja vastaukset 12:15-13:00 Valmiiksivanhasta-info (ELEC & SCI TU1) Lisäinformaatiota vanhasta tutkintosäännöstä valmistuville opiskelijoille Erityisesti opiskelijoille, joiden opinnot ovat venyneet 2

3 Background Aalto is clearly Finland s largest ICT education organization ICT education is carried out in two schools: SCI and ELEC available potentials are not fully used when MSc programs are operated separately There is no clear work division between SCI and ELEC This has lead to some overlap in MSc education Why now is right time to merge MSc programs on ICT? MSc program renewal ongoing anyway Wide consensus on the benefits of the merger Large joint MSc program between schools will provide a test case for school cooperation and realize student mobility on new level 3

4 Computer, Communication, and Information Sciences (CCIS) Master s Degree Program organized by Aalto Schools of SCI and ELEC Eight majors and altogether 15 tracks Faculty includes over 50 professors First call for students starts in December 2014 Operation starts in January 2015 New students start their studies in September

5 Degree structure Master s Thesis 30 ECTS Minor ECTS Major ECTS Elective Studies ECTS Master s degree 120 ECTS Major: ECTS Long major (55-65 ECTS) Compact major (40-45 ECTS) + minor (20-25 ECTS) Minor ECTS (optional) Master s program decides whether minor is allowed Minors can be chosen from a list defined by the Master s program Elective studies ECTS Additional minor (student s own preference) Multidisciplinary courses Courses supporting the major Full semester abroad Master s thesis 30 ECTS 5

6 International Studies All CCIS students are expected to have international component as part of their studies Various study abroad options (bit.ly/1zja42p) Double degree possibility in EIT ICT Labs Master s School (masterschool.eitictlabs.eu) and NordSecMob Programme (nordsecmob.aalto.fi) International minor at EURECOM Graduate School (eurecom.fr) or at many other international partner universities Exchange agreements with both European and non- European partners A number of international internship options (e.g., summer jobs) are also available 6

7 Majors Computer Science Communications Engineering Software and Service Engineering Mobile Computing, Services, and Security Acoustics and Audio Technology Machine Learning and Data Mining Signal, Speech, and Language Processing Game Design and Production 7

8 Computer Science Combines both theoretical and applied computer science Six different tracks (broad major) Wide range of advanced courses Faculty includes over 25 professors 8

9 Computer Science Core Courses (select five): Operating Systems Web Software Development Information Security Computer Graphics Principles of Algorithmic Techniques Discrete Models and Search Machine Learning: Basic Principles User Interfaces Tracks (select one): Software Systems and Technologies Secure Systems WWW Technologies, Applications, and Science Interactive Technologies Algorithms, Logic, and Complexity Big Data and Large-Scale Computing 9

10 Communications Engineering Organized jointly by two departments: Communications and Networking (Comnet) Signal Processing and Acoustics (SPA) Three different tracks Wireless communications (Comnet and SPA) Internet Technologies (Comnet) Communication Ecosystems (Comnet) 10

11 Communications Engineering Core Courses: Trends in Communications (project course) Internet Traffic Measurement and Measurement Analysis Wireless Systems 11

12 Software and Service Engineering As a student, you learn to design and develop products and services that create business value and satisfy real user needs tackle wicked, real-world problems taking human, societal, organizational, and technological factors into account.

13 Software and Service Engineering: Tracks Software engineering Service design and engineering User-centred design Enterprise systems Courses are based on research done in close collaboration with companies. CSE-E5695 Portfolio in Software and Service Engineering Casper Lassenius Marjo Kauppinen Marko Nieminen Martti Mäntylä 13

14 Mobile Computing, Services, and Security Based on existing Master s Programmein Mobile Computing Services and Security Also available Erasmus Mundus Master s Program in Security and Mobile Computing (NordSecMob) Prof. N. Asokan Prof. Antti Ylä-Jääski Prof. JukkaK. Nurminen Prof. Tuomas Aura Prof. Keijo Heljanko Prof. Mario Di Francesco 14

15 Mobile Computing, Services, and Security Core Courses: Methods and Tools for Network Systems Computer Networks II - Advanced Features Applications and Services in Internet Laboratory Works in Networking and Security Mobile Systems Programming / Mobile computing project Seminar Elective Courses: Network Services Business Models Internet and Computing Forum Special course in data communication software Internet Technologies for Mobile Computing Network Security Mobile Systems Security etc. 15

16 Acoustics and Audio Technology Joint major organized by departments of Signal Processing and Acoustics (ELEC) Media Technology (SCI) The major is offered as both long and compact In addition, a minor is offered Prof. Vesa Välimäki (ELEC) Prof. Ville Pulkki (ELEC) Prof. Lauri Savioja (SCI) Prof. Tapio Lokki (SCI) 16

17 Acoustics and Audio Technology Core Courses: Communication acoustics Acoustics and the physics of sound Acoustical measurements Audio signal processing Room acoustics Acoustics and audio technology seminar Elective Courses: Electroacoustics Noise Control Digital signal processing systems Speech processing Speech recognition 17

18 Machine Learning and Data Mining Based on an already established international master s program called Macadamia Faculty belongs to two centers of excellence: the Computational Inference Research (COIN) center is coordinated by the department Prof. Aristides Gionis Prof. Juha Karhunen Prof. Samuel Kaski Prof. Harri Lähdesmäk i Prof. emer. Erkki Oja Prof. Juho Rousu Prof. Tapani Raiko

19 Samples of machine learning and data mining edtoc Detection of dense communities in social networks and attributes that describe the communities Deep Learning to derive abstract highlevel features in a hierarchical manner that imitates human perception. Plenty of jobs Personalized medicineto make individually tailored treatment decisions basedon genomicand other data

20 Macadamia Courses Compulsory courses: Machine learning: Basic principles Machine learning and neural networks Machine learning: Advanced probabilistic methods Algorithmic methods of data mining Kernel methods in machine learning Information visualization Research project in computer and information science Elective Courses: Computer vision Speech recognition Statistical natural language processing High-throughput bioinformatics Signal processing in neuroinformatics Artificial intelligence Digital image processing Principles of pattern recognition Special course in computer and information science I-VI

21 Signal, Speech, and Language Processing Organized by department of Signal Processing and Acoustics Prof. Unto K. Laine Prof. Paavo Alku Prof. Mikko Kurimo Prof. Jorma Skyttä Prof. Visa Koivunen Prof. Risto Wichman Prof. Sergiy Vorobyov 21

22 Courses of Signal, Speech and Language Processing Common for the major (10 cr) Signal processing for communications, 5cr Machine learning: basic principles, 5cr Elective courses: (30 cr) For speech path selected courses from: Pattern recognition, machine learning (T-61) Audio and acoustics Signal processing Computational modeling and cognitive science Mathematics and optimization Usability and user interfaces Language technology, UH Common for speech path: (20 cr) Speech processing, 5cr Speech and language processing methods, 2cr, and seminar, 3cr Speech recognition, 5cr Statistical natural language processing, 5cr Common for signal path: (20 cr) Select 4 courses from these 5: Convex optimization for engineers Sensory array signal processing Statistical signal processing High volume data processing (new) Signal processing for distributed systems 22

23 Game Design and Production Joint major offered by schools of SCI and ARTS Department of Media Technology (SCI) Department of Media (ARTS) Separate admission, selective intake Prof. Perttu Hämäläinen Prof. Jaakko Lehtinen Prof. Tapio Takala 23

24 Game Design and Production CCIS only: Computer Graphics, Advanced Computer Graphics M.A. in New Media only: Understanding Media, Art and Design, Research Skills Shared compulsory: Game Design, Game Analysis, Game Project, Advanced Topics in Game Design, Playability Evaluation Shared optional: anything related to CS and design: 3D user interface design, Games Research Project, Machine Learning, Computer Vision, Parallel Programming, Scriptwriting, 3D modeling & animation 24

25 Further Information twitter.com/aaltoccis wiki.aalto.fi/x/mig1bq Prof. Petri Vuorimaa Prof. Jyri Hämäläinen Anu Kuusela Jenni Tulensalo 25