Master introduction PDCS Computer Science Artificial Intelligence Information

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Master introduction PDCS Computer Science Artificial Intelligence Information Sciences Bioinformatics Prof. Guus Schreiber Curriculum

Master introduction PDCS Computer Science Artificial Intelligence Information Sciences Bioinformatics Prof. Guus Schreiber Curriculum Director

PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS (TOP MASTER PROGRAM) • International (students from Europe, USA,

PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS (TOP MASTER PROGRAM) • International (students from Europe, USA, India, China) • Research oriented • Selective admission • Practical orientation (many labs, projects) • Narrowly focused on systems – Operating systems, networks, distributed systems – Multiprocessors, clusters, Internet, grids – Parallel algorithms / languages / systems Faculteit der Exacte Wetenschappen

PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS (TOP MASTER PROGRAM) Compulsory courses: • Distributed Systems •

PARALLEL AND DISTRIBUTED COMPUTER SYSTEMS (TOP MASTER PROGRAM) Compulsory courses: • Distributed Systems • Parallel Programming • Cluster and Grid Computing • Computer and Network Security • Research Proposal Preparation (year 2) • Advanced Topics in Distributed Systems (year 2) • Advanced Topics in Computer and Network Security (year 2) Faculteit der Exacte Wetenschappen

INTERNET AND WEB TECHNOLOGY – Focus: Technology for the Internet and the Web –

INTERNET AND WEB TECHNOLOGY – Focus: Technology for the Internet and the Web – Large-scale computer systems (e. g. Web server architectures) – Network protocols – Peer-to-peer technology – Security in the Internet (e. g. worms, honey pots) Faculteit der Exacte Wetenschappen

INTERNET AND WEB TECHNOLOGY – Compulsory courses: – Distributed Systems – Computer and Network

INTERNET AND WEB TECHNOLOGY – Compulsory courses: – Distributed Systems – Computer and Network Security – Internet Programming – (and the general compulsory courses) Faculteit der Exacte Wetenschappen

HIGH PERFORMANCE DISTRIBUTED COMPUTING • Focus: Large-scale computing • Parallel computing: clusters, grids, clouds,

HIGH PERFORMANCE DISTRIBUTED COMPUTING • Focus: Large-scale computing • Parallel computing: clusters, grids, clouds, mainframes • High-performance computers and networks • Scientific and commercial applications: e. g. , genome sequencing, designing new medicines, oil-field discovery, stock-market predictions, Google's and Amazon's services Faculteit der Exacte Wetenschappen

HIGH PERFORMANCE DISTRIBUTED COMPUTING • Compulsory courses: • Distributed Systems • Parallel Programming Practical

HIGH PERFORMANCE DISTRIBUTED COMPUTING • Compulsory courses: • Distributed Systems • Parallel Programming Practical • Cluster and Grid Computing • (and the general compulsory courses) Faculteit der Exacte Wetenschappen

CS specialization: Software Engineering Compulsory courses: • Software Asset Management • Distributed Systems •

CS specialization: Software Engineering Compulsory courses: • Software Asset Management • Distributed Systems • Software Configuration Management • Service Oriented Design • Software Architectur

KOP OVER Global Software Engineering European Master 2 REGELS tekst • One Master, two

KOP OVER Global Software Engineering European Master 2 REGELS tekst • One Master, two degrees Learn how to master IT/Software projects in an international environment • One year at the VU, one year at a VU Partner Mälardalen University (Sweden) University of L'Aquila (Italy) Three profiles: Software Architecting Real-Time Embedded Systems Web Systems & Service Engineering

Artificial Intelligence @ VU: Programs • The following programs will be offered: – Web

Artificial Intelligence @ VU: Programs • The following programs will be offered: – Web Sciences • Web Science is a growing field that looks at the Web as an object of study. – Intelligent Systems • Designing and building systems that perceive, reason, learn and act intelligently. – Human Ambience • Learn to model human processes and develop environments that utilize such models to support humans in an intelligent way. – Cognitive Science • Gaining a deeper understanding of the human mind and cognition, for both theoretical and practical purposes.

Artificial Intelligence @ VU: Courses • General courses for all variants (4 x 6

Artificial Intelligence @ VU: Courses • General courses for all variants (4 x 6 ECTS): – – Evolutionary Computing (period I) Model-Based Intelligent Environments (period III) Knowledge Engineering (period II and III) Research methods (period II) • Specific courses for variant (around 30 ECTS) • Master project (30 ECTS) • Optional courses (around 36 ECTS)

KOP OVER SCIENCES 2 INFORMATION REGELS “Interdisciplinary field primarily tekst concerned with the analysis,

KOP OVER SCIENCES 2 INFORMATION REGELS “Interdisciplinary field primarily tekst concerned with the analysis, collection, classification, manipulation, storage, retrieval and dissemination of information. ” (Merriam-Webster) Key concerns: 1. How is information created and procesed? 2. How can ICT be practically applied ? 3. What is the relation of ICT with people, organisations and culture ?

INFORMATION SCIENCES KOP OVER 2 REGELS Business Variant tekst

INFORMATION SCIENCES KOP OVER 2 REGELS Business Variant tekst

INFORMATION SCIENCES KOP OVER 2 REGELS Web Variant tekst

INFORMATION SCIENCES KOP OVER 2 REGELS Web Variant tekst

Master Bioinformatics & Systems Biology: two profiles Major Bioinformatics Major Systems Biology First lecture:

Master Bioinformatics & Systems Biology: two profiles Major Bioinformatics Major Systems Biology First lecture: Monday September 3 at 9. 00 in M 1. 43

Master CS / Master AI: Minor Bioinformatics Compulsory: Optional: – Fundamentals of Bioinformatics (6

Master CS / Master AI: Minor Bioinformatics Compulsory: Optional: – Fundamentals of Bioinformatics (6 ec) septoct – Algorithms in Sequence Analysis (6 ec) nov-dec – Bioinformatics for Translational Medicine (6 ec) apr-may - Biosystems Data Analysis (6 ec) jan - Structural Bioinformatics (6 ec) feb-mar

Master thesis: design • Select a subject you like! • Literature study – No

Master thesis: design • Select a subject you like! • Literature study – No literature means it is not an appropriate topic • Research plan – Problem statement + context (research project, company, domain) – Research questions – Approach: choice of research methods – Plan: proposed timeline 19

Master thesis: work • Carry out plan • Typically bi-weekly meeting with supervisor(s) •

Master thesis: work • Carry out plan • Typically bi-weekly meeting with supervisor(s) • You are in charge! – Prepare issues to discuss – Send progress reports – Make notes • Document while you go along – Thesis is not written at the end 20

Master thesis: assessment • Assessors – VU supervisor – Second VU staff member –

Master thesis: assessment • Assessors – VU supervisor – Second VU staff member – Advice from external supervisor, if applicable • Criteria – – Quality Team work Presentation Independence • 7 is a good grade! 21

Master program coordinators • Computer Science – – • • HPDS & IWT: Dr.

Master program coordinators • Computer Science – – • • HPDS & IWT: Dr. Spyros Voulgaris Software Engineering: Prof. Hans van Vliet Formal Methods: Dr. Roel de Vrijer Multimedia: Prof. Anton Eliens PDCS: Dr. Thilo Kielmann Artificial Intelligence: Dr. Mark Hoogendoorn Information Science: Dr. Pieter de Leenheer Bioinformatics: Dr. Anton Feenstra

SUCCESS WITH YOUR MASTER!

SUCCESS WITH YOUR MASTER!