GRA 6276 Research Methods for Master of Professional Accountancy - RESIT EXAMINATION

GRA 6276 Research Methods for Master of Professional Accountancy - RESIT EXAMINATION

Course code: 
GRA 6276
Department: 
Accounting, Auditing and Business Analytics
Credits: 
6
Course coordinator: 
Erlend Kvaal
Product category: 
Master
Portfolio: 
Master of Accounting and Auditing
Semester: 
2017 Autumn
Active status: 
Re-sit exam
Resit exam semesters: 
2017 Autumn
2018 Spring
2018 Autumn
Resit exam info

This course is replaced by a new methodology course teached in English.

Resit examination autumn 2017 and probably spring 2018 and autumn 2018.

Teaching language: 
Norwegian
Course type: 
One semester
Introduction

The course is compulsory for students who are writing a master thesis for the master programme in professional accountancy (GRA 1920). The course may be replaced by another equivalent course at the master level.

Learning outcomes - Knowledge

The students shall gain an understanding of research methods that are relevant for the main subject areas of the master programme in professional accountancy. The course will focus on training students to formulate a well-defined problem for discussion and to find a research design that is suitable for throwing light on the problem. The students shall also learn how to find relevant information in the literature and databases. The course will also discuss issues relating to research ethics. Approx. 12 teaching hours will be devoted to legal method and quantitative / qualitative methods, and students have to choose one or the other. During the course the students shall decide on a topic for their master thesis and must prepare and submit a hand-in project for their thesis.

By means of joint literature and citation searches the students shall acquire knowledge about various search methods for obtaining information.

Learning outcomes - Skills

-

Learning Outcome - Reflection

-

Course content
  • Philosophy of science
  • The research process
  • Formulating problems to be addressed
  • Research designs
  • Problems relating to research ethics
  • Data collection
  • Legal methods
  • Qualitative and quantitative data analysis
  • Literature search
  • Advice on writing the master thesis
Learning process and requirements to students

The course consists of lectures, seminars and discussions.

Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on It's learning or text book.

This is a course with continuous assessment (several exam components) and one final exam code. Each exam component is graded by using points on a scale from 0-100. The components will be weighted together according to the information in the course description in order to calculate the final letter grade for the examination code (course). Students who fail to participate in one/some/all exam elements will get a lower grade or may fail the course. You will find detailed information about the point system and the cut off points with reference to the letter grades when the course start.

At resit, all exam components must, as a main rule, be retaken during next scheduled course.

Software tools
No specified computer-based tools are required.
Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Exam categoryWeightInvigilationDurationSupport materialsGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA62763
Grading scale:
Pass/fail
Grading rules:
-
Resit:
Examination when next scheduled course
0No ? -Group/Individual A mandatory element of the course is to prepare and get approved a first outline of the master thesis, cf. the course description of GRA 1920. The outline must as a minimum include a well-defined and operational approach to the problem, a complete overview of the contents of the thesis, a complete description of the method to be applied to throw light on the problem and a review of the relevant literature to be used as references in the master thesis. The outline is graded pass/fail. Students that follow the course without the intention to produce a GRA 1920 master thesis are exempted from preparing such outline.
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA62764
Grading scale:
Point scale
Grading rules:
-
Resit:
Examination when next scheduled course
10No ? -- Work assignment by the library
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA62764
Grading scale:
Point scale
Grading rules:
-
Resit:
Examination when next scheduled course
20No ? -- Hand-in project related to statistical software
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
GRA62764
Grading scale:
Point scale
Grading rules:
-
Resit:
Examination when next scheduled course
70Yes3 Hour(s)
  • BI-approved exam calculator
  • Bilingual dictionary
Individual
Exams:
Exam category:Submission
Form of assessment:Written submission
Weight:0
Invigilation:No
Grouping (size):Group/Individual
Support materials:
Duration: ? -
Comment:A mandatory element of the course is to prepare and get approved a first outline of the master thesis, cf. the course description of GRA 1920. The outline must as a minimum include a well-defined and operational approach to the problem, a complete overview of the contents of the thesis, a complete description of the method to be applied to throw light on the problem and a review of the relevant literature to be used as references in the master thesis. The outline is graded pass/fail. Students that follow the course without the intention to produce a GRA 1920 master thesis are exempted from preparing such outline.
Exam code:GRA62763
Grading scale:Pass/fail
Resit:Examination when next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:10
Invigilation:No
Grouping (size):-
Support materials:
Duration: ? -
Comment:Work assignment by the library
Exam code:GRA62764
Grading scale:Point scale
Resit:Examination when next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:20
Invigilation:No
Grouping (size):-
Support materials:
Duration: ? -
Comment:Hand-in project related to statistical software
Exam code:GRA62764
Grading scale:Point scale
Resit:Examination when next scheduled course
Exam category:Submission
Form of assessment:Written submission
Weight:70
Invigilation:Yes
Grouping (size):Individual
Support materials:
  • BI-approved exam calculator
  • Bilingual dictionary
Duration:3 Hour(s)
Comment:
Exam code:GRA62764
Grading scale:Point scale
Resit:Examination when next scheduled course
Exam organisation: 
Continuous assessment
Grading scale: 
ECTS
Total weight: 
100
Talis literature

Obligatorisk/Compulsory

Book
Authors/Editors Year Title Edition Publisher StudentNote
Boe, Erik 2012 Grunnleggende juridisk metode: en introduksjon til rett og rettstenkning 3. utg Universitetforl  
Ghauri, Pervez N.; Grønhaug, Kjell 2010 Research methods in business studies 4th ed Financial Times Prentice Hall  
Chapter
Authors/Editors Year Title Journal Edition Publisher StudentNote
Saunders, Mark   Critically reviewing the literature Critically reviewing the literature      

No importance set

No type set
Authors/Editors Year Title Edition Publisher StudentNote

Notes to students:

I løpet av kurset kan det bli delt ut materiale på flere emner som er relevante for kurset og eksamen

 

Notes to students:

Statistikkunnskap for GRA 6276 (undervisningsnotat)