PENG9200 Scientific Research Methods and Data Analysis in Engineering Science Course description

A course of this type is included in all computer science programmes of a certain scope. This is an important type of mathematics that is used in several computer disciplines. It is also referred to as computer mathematics. The concepts and techniques the students learn in this course will help to enhance their programming skills and their understanding of many computer technology problems.

Emnet er ekvivalent (overlapper 10 studiepoeng) med: ITPE1300, FO019A og FO019I.

Ved praktisering av 3-gangers regelen for oppmelding til eksamen teller forsøk brukt i ekvivalente emner.

No requirements over and above the admission requirements.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student is capable of:

• defining and explaining relevant concepts in logics, set theory, functions, number theory, matrix calculation, proof techniques, sequences and series, combinatorics, relations, graph theory and Boolean algebra
• explaining relevant formulas and rules of arithmetic

Skills

The student is capable of:

• solving course-specific but also general and complex problems with the help of theory, formulas, statements, rules of arithmetic and techniques taught on the course
• applying concepts and techniques from the course to relevant computer disciplines

General competence

The student is capable of:

• informing programmers and others about issues that benefit from the use of discrete mathematics concepts and techniques

The students will acquire a broad and concrete theoretical and practical perspective on the production and consumption of empirical research across the fields that compose engineering science. applied mathematics and physics in the broad sense, engineering and technology. They will be familiarised with how practical problems from these areas are translated into research questions and with how research problems can be defined in order to answer those research questions. The students will be introduced to a spectrum of quantitative, qualitative and mixed-method approaches, building on their exising expert knowledge, and learn how quantitative and qualitative analytical methods can provide insight into contemporary research issues in engineering science.

Lectures and individual exercises. The exercises are based on the students’ own work, supervised by the lecturer and/or a student assistant.

The following coursework is compulsory and must be approved before the student can sit the exam:

• 3 compulsory written assignments to be solved in groups of 2 - 4 people. Time spent per assignment will vary between 5 - 15 hours depending on the participants' knowledge and professional prerequisites.

Individual written exam, 3 hours

The exam result can be appealed.

A handheld calculator that cannot be used for wireless communication or to perform symbolic calculations. If the calculator’s internal memory can store data, the memory must be deleted before the exam. Random checks may be carried out.

Grade scale A-F.

One internal examiner. External examiners are used regularly.