The Fall 2020 Edition of Knowledge and Data Integration is delivered using the Flipped Classroom methodology¹, which requires a bit more work on your side during the course (and also on our side), but should yield considerably better results.

In synthesis, Slides and videos are provided for each lesson, the students can find this material on the current web site under the "Calendar & Material" section. Each lesson scheduled in the calendar has the scope to answer the questions, formulated by the students, regarding the material of the lesson itself and eventually on the previous lessons (in the column named "Content of Lessons", are reported the lessons considered for the questions). See the section "Q&A" in order to understand how to formulate the questions. Due to that the students have to read the slides and the related video in advance, in order to formulate the questions before the lessons in which they will be clarified. At the end of each phase of the methodology adopted in the KDI course, there is a General Q&A Lesson in which the students can ask questions over all the phase studied. Note that at the end of each phase, the Q&A session will answer to the questions only on the phase just completed.

 

GitHub
In this edition of KDI course, the students have to work using different features offered by GitHub. One of the objectives of the course is to follow the different phases of the iTelos methodology working on different knowledge and data integration projects. A team composed by a group of students, is assigned to each project, and is in charge to work  on it following the methodology in all its phases. Those teams are present also on GitHub, and they have the responsibility to generate and manage a specific project repository. Due to this every student must have a GitHub account, and she/he has to communicate the GitHub user to the teachers, together with other general background information, using the form here linked :
https://docs.google.com/forms/d/e/1FAIpQLSeTsR7CSqcNuweyJ1rJG00sCrHTjaXZRle_LdyCYbtFkj9ZtQ/viewform?usp=sf_link

Fausto Giunchiglia	Mauro Dragoni	Alessio Zamboni	Simone Bocca	Mayukh Bagchi	Yamini Chandrashekar
fausto.giunchiglia@unitn.it	dragoni@fbk.eu	alessio.zamboni@unitn.it	simone.bocca@unitn.it	mayukh.bagchi@studenti.unitn.it	yamini.chandrashekar@unitn.it

The students will be evaluated not only in one single moment at the end of the course but also in different moments (4 times) during the project development. Those evaluation moments are identified by the Assessments after the end of each phase. Below how the evaluation is structured along the assessment and how the final exam will evaluate the teams and the students singularly.

The evaluation provided for each Assessment, plus the evaluation after the final exam presentation, will decide the final vote for each student. While it is the responsibility of the evaluator to make sure that everybody is tested, students are welcome to drive the discussions as they feel it is more convenient.

Assessment evaluation (first 3 phases, last 30 min each)

During each assessment session, the Project Manager (PM) will explain the results regarding the methodology phase just developed. He/She as the manager of the project is in charge of explaining the work of the team, but this doesn’t mean that he/she has to be the only one to present the work. The other components of the team should participate in the discussion describing more specific aspects regarding the Data Scientist (DS), the Knowledge Engineer (KE) and the Domain Expert (DE).

The tutors, in order to evaluate the teams regarding the current phase, will ask questions and try to understand the level of the work done by the group. Moreover the tutors have to ask more specific questions to the members of the group, also not concerning the specific role. For example, in order to understand if the whole group is well integrated, the tutor may ask questions about the data management to the KE, and questions about the schema generation to the DS.

The Assessment evaluation plays an important role for the final grade, because it can estimate the work of each student, and also of each team, during each phase, so it is able to define, in the end the effort level involved in the project development.

Final Exam evaluation (1 hour)

The Final exam, for each project, will be composed by:

• The presentation (slides) of the whole project. (40 min, Q&A included)
• The Demo presentation (20 min, Q&A included)

As for the interim evaluations, all the components of the team should participate in the discussion describing their more specific areas of contribution.

After the end of the course, all students will evaluate and produce feedback on the iTelos methodology, strenghts and pitfalls, by filling up an online questionnaire

Multiple positions are available as 150h and internships. They should be considered as the first part of a research project and thesis with the Knowdive group. The general activities of the group are listed on the website (http://knowdive.disi.unitn.it/), while activities already scheduled and available now can be found at http://knowdive.disi.unitn.it/work-with-us/. The 150h activities have variable length and are strictly related to software development: for this reason, knowledge of software development with at least onr programming language is a must. All the activities can also be carried on in a remote fashion.

 

Anyone interested in these opportunities can send an email to knowdive-positions@disi.unitn.it, providing already information about preferences in terms of topics or activities (if known). For 150h activities it is important to provide information about known programming languages with the corresponding level, a value in the range [1 - 5] where 1= basic knowledge, 5= advanced knowledge.

 

The applications to the “150 ore” program can be done at the link:
https://www.unitn.it/servizi/224/collaborazioni-studenti-150-ore
Notice that the deadline for applications for the A.Y 2020-2021 is September 30, 2020