ITI41020 Scientific Methods in Computer Science (Autumn 2022)
Facts about the course
- ECTS Credits:
- 10
- Responsible faculty:
- Faculty of Computer Sciences, Engineering and Economics
- Campus:
- Halden
- Course Leader:
- Cathrine Linnes
- Teaching language:
- English
- Duration:
- ½ year
Table of contents
The course is affiliated to the following study programme
Teaching semester
Content
- Research design in the field of computer science
- Qualitative, quantitative and mixed methods
- Scientific writing and peer-review
- Publishing channels relevant to applied computer science, different types of publications, their roles and functions
The student's learning outcomes on passing the course
Knowledge
The student
- has advanced knowledge of research design
- has knowledge of qualitative, quantitative and mixed methods
- has knowledge of relevant data collection techniques
- has knowledge of relevant data analysis techniques
- is familiar with publishing channels relevant to applied computer science, different types of publications, their roles and functions
Skills
The student is able to
- search for and assess scientific literature within the field of applied computer science
- use scientific references
- construct a problem statement or research question and evaluate its soundness
- select relevant methods to address a research problem
- use relevant techniques for data collection
- use relevant techniques for data analysis
General competence
The student
- is able to write a scientific paper
- is able to orally present a scientific project for specialists within the field, as well as the general public
- has competence in critical reading and reflection
Teaching and learning methods
Workload
Exam
Portfolio and individual written exam.
The exam consists of both a portfolio and an individual written exam. The portfolio counts 60% and consists of:
- Two research projects
- One idea paper
The individual written exam counts 40% and is based on the course curriculum. Duration 2 hours. No supporting materials permitted.
Both parts of the exam must be passed to pass the exam as a whole.
The student will get an individual joint grade for the entire course. Grades: Assessment on the A - F grading scale.
Examiners
Conditions for resit/rescheduled exams
Course evaluation
This course is evaluated by a
- Mid-term evaluation (compulsory)
The responsible for the course compiles a report based on the feedback from the students and his/her own experience with the course. The report is discussed by the study quality committee at the Department of Computer Science and Communication.