2ID96 MSc Seminar 2014-1015, Web Engineering research group


This seminar is organized by the expertise group on Web Engineering (formerly, DH = Databases and Hypermedia). The responsible lecturer is dr. Mykola Pechenizkiy and co-lecturer dr. Joaquin Vanschoren.

The course contact is as follows. All submissions and email communications for the seminar should use this contact.

a picture

The primary goal of the seminar is to help students prepare for the MSc graduation project. (Master programs: BIS, CSE, ES)

This seminar focuses on studying selected topics and the current state of the art in the areas of data mining, information retrieval, adaptive systems, data management systems, and recommender systems as well as their various cross-roads in the broader context of web engineering. The topics may include (but are not limited to) different aspects of personalization and adaptation in IS, user modeling, privacy-preservation, domain knowledge integration, ontologies and semantic web, development of generic frameworks and approaches, analytics on massive data, and developing specialized applications.

A detailed list of possible projects and relevant literature will be made available during the seminar meetings.

A reasonable degree of freedom will be given in the selection of topics and focus. In particular, the students taking this seminar are expected to:

  • provide an overview (with a focus on research questions) of the important research papers in a selected area;
  • study common underlying techniques and research methods;
  • find/identify potential concrete research projects;
  • conduct experiments (or develop a framework, depending on the selected topic) and report the findings; and,
  • present and defend the obtained results.


Each student will write and present two reports:

  • An intermediate report (20% of final grade) on literature analysis and problem formulation.
    • Intermediate reports must be submitted before 10:00 on Monday 1 December.
  • A final report (50% of final grade) that includes literature analysis, description of concrete research question(s), proposed approach and obtained results. Depending on the type of the project you may need to enclose different appendixes such as data, software, and detailed results.
    • Final reports must be submitted before 10:00 on Monday 4 January.
Both reports should be PDF documents, submitted by email.

Each student will correspondingly give two presentations:

  • An intermediate presentation (10% of final grade) on the literature analysis and problem formulation (~15 mins), and
  • A final presentation (20% of final grade) on the research question(s), chosen or proposed approach and obtained results (~25 mins).

Unless prior arrangements in writing have been made (only in truly exceptional cases, arranged in the first two weeks of the seminar), deliverables will be penalized by 33% for each day they are late, and, furthermore, deliverables will not be accepted for credit more than 72 hours after their respective deadlines.

Other important information

  • If you plan to take 2ID96 in Quarter 2 (2013-2014) please register on OASE. You will be added to the course mailing list and get access to a shared Dropbox folder where the course materials will be located. We need to have a good estimate of participants to organize the seminar in the best way, so please register asap.
  • If you take this seminar that means that you plan to do your project in one of the core expertise areas of the WE research group. You are strongly advised to check the current possibilities for master projects with your prospective project advisors:
  • Please take a look at the graduation checklist and regulations for the Computer Science graduate program.
  • Further course details can also be found on OWInfo.
  • The first introductory seminar meeting will be on Tuesday 11 November, 13:45-15:30 in MULTI MEDIA PAVILJOEN ZAAL 2.


There are two components to the seminar (wrt in-class meetings):

  • introductions to selected areas, topics, problem formulation by the responsible lecturers, other staff members of WE group and guest lecturers; and,
  • student presentations followed by discussions moderated by the responsible lecturer and project advisor.

The following schedule is highly indicative. Both the order and the selection of topics may change depending on the requests from the participants and the availability of the speakers. The schedule will be revised and fixed shortly after the first meeting However, all deliverable milestones including the presentation dates and the deadlines are fixed and will not be changed.

Tentative schedule

Time & location Topics
Tue 11 Nov, 13:45-15:30,

1st hour: Introduction to the seminar, organization and practicalities (Mykola Pechenizkiy and Joaquin Vanschoren).

2nd hour: External research projects in data science (Mykola Pechenizkiy)

Thu, 13 Nov, 8:45-10:30,

1st hour: Research topics in big data analytics. (Mykola Pechenizkiy, George Fletcher)

2nd hour: External projects in information retrieval (Thijs Westerveld)

Fri, 14 Nov, 10:45-12:30,

1st hour: Research topics in large-scale machine learning and meta-learning (Joaquin Vanschoren)

2nd hour: Research topic in adaptive web-based systems (Natasha Stash)

18, 20, 21 November

More topics from the faculty/companies if there is still demand for this

Tue, 2 Dec, 13:45-15:30,
Midterm presentations (report due before 10:00 on Monday 1 December)
Thu, 4 Dec, 8:45-10:30,
Midterm presentations (report due before 10:00 on Monday 1 December)
Fri, 5 Dec 10:45-12:30,

1st hour: Overview of research methods; academic and engineering aspects of the thesis work; and, how to do a great project and write a great MSc thesis (Mykola Pechenizkiy).

2nd hour: Feedback on midterms. Open Q&A session (Mykola Pechenizkiy and Joaquin Vanschoren).

Tue, 6 Jan, 13:45-15:30,
Final presentations (report due before 10:00 on Monday 5 January)
Thu, 8 Jan, 8:45-10:30,
Final presentations (report due before 10:00 on Monday 5 January)
Fri, 9 Jan, 10:45-12:30,
Final presentations (report due before 10:00 on Monday 5 January)