Research Seminar in Computer Science Om kurset Subject Activitytype Teaching language Registration Datalogi master course English Tilmelding sker via stads selvbetjening indenfor annonceret tilmeldingsperiode, som du kan se på Studieadministrationens hjemmeside Når du tilmelder dig kurset, skal du være opmærksom på, om der er sammenfald i tidspunktet for kursusafholdelse og eksamen med andre kurser, du har valgt. Uddannelsesplanlægningen tager udgangspunkt i, at det er muligt at gennemføre et anbefalet studieforløb uden overlap. Men omkring valgfrie elementer og studieplaner som går ud over de anbefalede studieforløb, kan der forekomme overlap, alt efter hvilke kurser du vælger. Registration is happing through stads selvbetjeningwithin the announced registration period, as you can see on the Studyadministration homepage. When registering for courses, please be aware of the potential conflicts between courses or exam dates on courses. The planning of course activities at Roskilde University is based on the recommended study programs which do not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programs, an overlap of lectures or exam dates may occur depending on which courses you choose. Learning outcomes/ assessment criteria Knowledge Skills Advanced knowledge of a selected specialised field of computer science, on the basis of the highest standards of international research. Skills to work independently with research-based questions in the field of computer science. Skills to take responsibility for one s own academic development and specialisation within the field of computer science. Skills in communicating research-based knowledge about computer science and discussing professional IT issues on a scientific basis with both colleagues and non-specialists. Competencies Competency to work with professional IT issues both independently and in teams. Competency to systematically and critically familiarise oneself with new computer science disciplines, and thereby take independent responsibility for one s own academic development and specialisation. Overall content The course is intended to prepare the student for a subsequent thesis in Computer Science. The course teaches the student to describe a defined area of specialisation and formulate a draft research question within this area. During the course, the student must find and select key, relevant peer-reviewed research publications in the area. Five publications are selected from among this literature, and the student gives a presentation of these. The student must be able to describe the specialisation area and formulate a research question that could be based on this research literature. The chosen research literature, the description of the area of specialisation and the research question are collected in an assignment, which is submitted in the form of a brief presentation in a mini-report at the end of the course. The assignment will usually be in the form of slides that are used to support an oral presentation. Teaching and working methods Expected work effort (ectsdeclaration) Form of examination Seminar. The course will have a total workload of 135 hours with 40 hours of lectures and exercises, 70 hours of preparation over the course period and 25 hours for the exam and preparation before the course. Oral examination, on the basis of the submitted assignment
The length of the assignment must be between a minimum of 2,400 characters, including spaces, and a maximum of 12,000 characters, including spaces. The size specifications include the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices. Assignments that fail to meet the size specifications will be refused assessment, and one examination attempt will be deemed to have been used up. Examination type Exam aids Individual examination All. Assessment 7-point grading scale Moderation Internal (i.e. course lecturer and an internal examiner assess) The responsible course lecturer Teacher STADS stamdata Jesper Simonsen (simonsen@ruc.dk) Morten Rhiger (mir@ruc.dk) Kandidatkursus Belastning : 5 ECTS Aktivitetskode : U41139 Prøveform : Mundtlig (ua) Bedømmelse : 7-trinsskala Censur : Intern censur Kursusgange: Hold: 1 Research Seminar in Computer Science e - Lecture e 1 (CS) 12-02-2019 13:15 til 12-02-2019 17:00 Research Seminar in Computer Science e - Lecture e 2 (CS) 19-02-2019 13:15 til 19-02-2019 17:00 Research Seminar in Computer Science e - Lecture e 3 (CS) 05-03-2019 13:15 til 05-03-2019 17:00
Research Seminar in Computer Science e - Lecture e 4 (CS) 12-03-2019 13:15 til 12-03-2019 17:00 Research Seminar in Computer Science e - Lecture e 5 (CS) 19-03-2019 13:15 til 19-03-2019 17:00 Research Seminar in Computer Science e - Lecture e 6 (CS) 26-03-2019 13:15 til 26-03-2019 17:00 Research Seminar in Computer Science e - Lecture e 7 (CS) 02-04-2019 13:15 til 02-04-2019 17:00
Research Seminar in Computer Science e - Lecture e 8 (CS) 09-04-2019 13:15 til 09-04-2019 17:00 Research Seminar in Computer Science e - Lecture e 9 (CS) 16-04-2019 13:15 til 16-04-2019 17:00 Research Seminar in Computer Science e - Lecture e 10 (CS) 23-04-2019 13:15 til 23-04-2019 17:00 Research Seminar in Computer Science e - Submitting exam assignment (CS) 03-06-2019 12:00 til 03-06-2019 12:00
Research Seminar in Computer Science e - Oral examination (CS) 17-06-2019 08:15 til 17-06-2019 17:00 Sted 06.1-025 - møderum (12) Research Seminar in Computer Science e - Submitting reexam assignment (CS) 12-08-2019 12:00 til 12-08-2019 12:00 Research Seminar in Computer Science e - Oral reexamination (CS) 15-08-2019 08:15 til 15-08-2019 12:00
STADS stamdata Kandidatkursus Belastning : 5 ECTS Aktivitetskode : U41139 Prøveform : Mundtlig (ua) Bedømmelse : 7-trinsskala Censur : Intern censur