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Kursusbeskrivelse
Kursusnavn (dansk):First Year Project 
Kursusnavn (engelsk):First Year Project 
Semester:Forår 2019 
Udbydes under:Bachelor i datavidenskab (b-ds) 
Omfang i ECTS:15,00 
Kursussprog:Engelsk 
Kursushjemmeside:https://learnit.itu.dk 
Min. antal deltagere:
Forventet antal deltagere:
Maks. antal deltagere:60 
Formelle forudsætninger:(1) Introduction to Data Science and Programming, (2) Applied Statistics, (3) Data science in Research, Business and Society.

Information about the course of study.
This course is mandatory for students who are enrolled on BSc in Data Science and part of the second semester.
The course is only open for students enrolled in BSc in Data Science. 
Læringsmål:After the course the student should be able to:
• organize, plan, and carry out collaborative work in a smaller project group.
• identify, define and delimit a problem in Data Science (i.e., prepare a problem statement);
• quickly preprocess a wide range of raw data
• translate diverse problem settings into individual well-defined data analysis problems
• identify and analyse relevant options for an appropriate basic methodology for the problem (data structures, algorithms, statistical methods), including those lectured on specifically for the mini-project
• compare the relevant options for the task, selecting the most suitable ones, both practically and theoretically
• implement the methodology and carry out the analysis
• document the project incrementally through the project diary and detailed control log
• translate the findings back to the problem domain
• carry out extensive error analysis and reflect on the method and results
• provide a succint oral and written explanation of the problems for each mini-project to both experts and non-experts, including a short description, the method, and the outcomes 
Fagligt indhold:This course combines knowledge from the three first semester undergraduate courses and knowledge that will be acquired during the second semester from the two concurrent courses.

The course will give students the opportunity to work as a team and combine their existing knowledge with the topics covered in class, in constructing and reflecting on solutions for problems over real-world data. 
Læringsaktiviteter:14 ugers undervisning bestående af forelæsninger, øvelser og vejledning

14 weeks of teaching consisting of lectures, exercises and supervision.

Description
The course begins with a first week of foundational lectures and workshops relevant for remainder of the course. This is followed by four individual mini-projects, each of a 3 week duration.
The structure of each 3-week mini-project is, in order:
1) 1 week of lectures
2) 1.5 weeks of supervision and mandatory status reporting.
3) Final oral presentation and written report at the end of the 3rd week. 

Obligatoriske aktivititer:There is no mandatory activities 
Eksamensform og -beskrivelse:X: Eksperimentel eksamensform., (7-scale, internal exam)

Four 3-week mini-projects. Groups will be composed of 5-7 students each. Each mini-project is worth 25 % of the final grade. All mini-projects must be passed.

The code and a final report must be handed in before each oral exam.

For the four 3-week mini-projects the exam will consist of:
(1) a written short final group report with shared responsibility at the end of each 3-week mini-project (worth 50% of the mini-project grade)
(2) an oral mini-exam in groups with individual responsibility/grading at the end of each 3-week mini-project, consisting of a short oral presentation of results, an oral exam on code implementations, and further questions (worth 50% of the mini-project grade).
(3) the two powerpoint presentations from your interim status reports.


Form of group exam: Mixed exam 1
See Study Guide -> Exams -> Course Exams -> Exam Forms for more information.

Re-exam: All four mini-projects must be passed, but re-exam takes place only for the mini-projects that are not passed. The format of the exam is the same. And the re-exam will take place after end of the course, in the re-exam period.  

 
Undervisere
Følgende personer underviser på kurset:
NavnStillingUndervisertypeIndsats (%)
Zeljko Agic Lektor(ITU) Underviser 20
Natalie Schluter Lektor, Linjeleder(ITU) Kursusansvarlig 20
Leon Derczynski Adjunkt(ITU) Underviser 20
Michele Coscia Adjunkt(ITU) Underviser 20
Andreas Søeborg Kirkedal Ekstern lektor(ITU) Underviser 20
Marija Stepanovic Undervisningsassistent(ITU) Hjælpelærer 0
Stefan Hrouda-Rasmussen Hjælpelærer(ITU) Hjælpelærer 0