FYS103 Experimental Methods and Data Analysis
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Showing course contents for the educational year starting in 2018 .
Course responsible: Achim Kohler
ECTS credits: 5
Faculty: Faculty of Science and Technology
Teaching language: NO
(NO=norsk, EN=Engelsk)
(NO=norsk, EN=Engelsk)
Limits of class size:
96
Teaching exam periods:
This course starts in January block. This course has teaching/evaluation in January block, .
Course frequency: Annually
First time: 2010V
Preferential right:
Ranking:
1. students who have the course as mandatory in their study plan
2. students on the following study programmes: B-EMF, M-LUN, M-MF, M-BA, M-GEOM, M-IØ, M-MPP, M-VM, B-GEOM
3. students with most ECTS credits
It there are not enough slots in group one the students will be ranked by their ECTS credits.
Students taking the course for the first time have lab priority.
Course contents:
The course contains 6 days with lectures and accordingly tutorials. The topics of the lectures will be part of an intermediate exam. In total, each student will perform 5 lab exercises. Each lab exercise takes approximately 3 hours. After each lab exercise the students prepare reports. The last lab report will be presented orally.
Learning outcome:
To understand the basis principle of some important spectroscopic measurement techniques.
To be able to evaluate the results of measurements and measurement uncertainties.
To be able to perform error analysis.
To get known to basic principles of multivariate data analysis.
To be able to give a structured presentation of measurement results.
To be able to make a written report.
To be able to present lab results orally.
Learning activities:
The Course contains:
LECTURES where central ideas, theory and examples are covered.
EXERCISES that illustrate use and understanding of central concepts.
LABORATORY WORK where the student gains skills in the use of scientific equipment and in planning and conducting an experiment.
REPORT WRITING where the student produces written reports with a clear presentation of the measurement results and measurement uncertainties. Oral presentation where the students learn to present results orally.
Teaching support:
Canvas will be used actively. Tutors are accessible during lab work and tutorials.
Syllabus:
Taylor: An Introduction to Error Analysis. Lecture notes on multivariate analysis.
Prerequisites:
FYS101, FYS102, MATH111, MATH112.
Recommended prerequisites:
STAT-INF110.
Mandatory activity:
Every exercise must be done.
The first report exercise must be done.
The 5 laboratory exercises must be done. All reports must be delivered and the presentation must be held.
Written journal.
Of the 7 obligatory activities (1 intermediate exercise, 1 report exercise, 5 written reports for laboratory exercises), 5 must be approved.
Non approved reports cannot be redelivered the same term.
Assessment:
Students who have all 7 obligatory activities accepted have passed the course and do not need to take the final exam. Students who have 5 obligatory activities accepted, have passed the obligatory part, but need to take and pass the final exam of two hours. Students who have less than 5 obligatory activities accepted, cannot take the final exam.
Nominal workload:
Organized lectures: 66 hours. Group work in pairs and self study: 74 hours. Preparation for written exam: 10 hours. Total: 150 hours.
Entrance requirements:
Special requirements in Science
Type of course:
Lectures: 18 hours. Exercises: 28 hours. Laboratory work: 20 hours.
Examiner:
The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate¿s exams as a calibration according to the Department's guidelines for examination markings.
Allowed examination aids: B2 Calculator handed out, other aids as specified
Examination details: Continuous exam: Bestått / Ikke bestått