ITI41020 Scientific Methods in Computer Science (Autumn 2022)

The course is connected to the following study programs

Mandatory course in the master programme in applied computer science full-time and part-time.

Lecture Semester

First semester (autumn) in the full-time and part-time programme.

The student's learning outcomes after completing 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

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

Forms of teaching and learning

Lectures, presentations, and lab exercises.

Workload

Approx. 280 hours.

Examination

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

External and internal examiner, or to internal examiners.

Conditions for resit/rescheduled exams

Upon re-examination, each part of the examination can be retaken.

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.

Literature

The current reading list for AUTUMN 2022 can be found in Leganto.