E2024

International Bachelor Study Programme in Natural Science

Basic course

English

Students will be signed up for this course by the study administration. If you have taken the course before and need to be signed up again please contact inm-exams@ruc.dk

Natural science deals with the real world, and hence empirical data from experiments or observations play a central role. Basic Course 1 presents various types of empirical data as well as how they can be described, presented, analyzed, and interpreted using quantitative and qualitative methods. In the course, you will also be introduced to relevant IT tools and key notions such as statistical descriptors, probability, random sampling, simple statistical distributions and tests, and basic concepts and techniques of computer science.

This course runs intensively in the first 5 weeks of the semester. It is not recommended to sign up for more than one course in this intensive period

Lectures: 14 h, team exercises: 28 h, preparation for lectures and exercises: 77 h, preparation for test: 15 h, test: 1 h. In total 135 hours.

Read more about expected work efford at Natbach here

INM Registration & Exams (inm-exams@ruc.dk)

Martin Niss (maniss@ruc.dk)
Maja Hanne Kirkeby (majaht@ruc.dk)
Ulf Rørbæk Pedersen (urp@ruc.dk)

5

• Knowledge of different types of empirical data

• Knowledge of different types of graphical presentation of data

• Knowledge of static descriptors and simple static distributions and test

• Skills to be able to present, analyze and interpret empirical data using quantitative and qualitative methods

• Skills to be able to read and use specialist symbolic language and other formal representations

• Skills to be able to use relevant IT tools when working with empirical data

• The competenc to be able to undertake simple mathematical problem-solving

• The competence to be able to communicate academic issues, both orally and in writing through presentation, analysis and interpretation of empirical data

Introduction to data types, data presentation techniques as well as descriptive statistics. Introduction to basic concepts and techniques within Computer Science. An introduction to the relationship between sample and population, probability, binomial and normal distribution, confidence intervals and linear regression.

All course sessions begin with a lecture. Following the lecture, the students work on assignments in small groups.

Mandatory course

The course is passed through active, regular attendance and satisfactory participation.

Active participation is defined as:
The student must participate in course-related activities (e.g., workshops, seminars, field excursions, process study groups, working conferences, supervision groups, and feedback sessions).

Regular attendance is defined as:
- The student must be present for a minimum of 75 percent of the lessons.

Satisfactory active participation is defined as:
- During the course, the student must participate in one report.

Assessment: Pass/Fail

Individual oral exam based on an assignment.

The exam is conducted as a dialogue.
There may be posed questions in any part of the curriculum.

The character limit of the written product is 4,800-24,000 characters, including spaces.
The character limits include the cover, table of contents, bibliography, figures and other illustrations, but exclude appendices.

Time allowed for the exam including time used for assessment: 20 minutes.
The assessment is an overall assessment of the written product(s) and the subsequent oral examination.

Permitted support and preparation materials for the oral exam: All.

Assessment: Pass/Fail
Moderation: Internal co-assessor.