Viðskiptadeild
Deildarforseti:Dr. Jón Þór Sturluson
Vefpóstur:vd@ru.is
Vefsíða:http://www.ru.is/vd
KennararSkoða
BSc í viðskiptafræði með tölvunarfræði sem aukagrein
Annir:6
Ár:3
Einingar:180
HæfniviðmiðSkoða
Námsstig1
FagréttindiViðskiptafræðingur
Táknmyndir
Skyldufag á brautKennslutungumál
Valfag á brautUndanfarar fyrir námskeið
Prenta
Haustönn/Fall 2023
Nánari upplýsingarHagnýt viðskiptakerfi (ERP)SkyldaI-406-IERP6 Einingar
Nánari upplýsingarTölvuhögunValnámskeiðT-107-TOLH6 Einingar
Nánari upplýsingarForritunSkyldaT-111-PROG6 Einingar
Nánari upplýsingarVerklegt námskeið 1SkyldaT-113-VLN16 Einingar
Nánari upplýsingarGagnaskipanValnámskeiðT-201-GSKI6 Einingar
Nánari upplýsingarGreining og hönnun hugbúnaðarSkyldaT-216-GHOH6 Einingar
Nánari upplýsingarHugbúnaðarfræðiSkyldaT-303-HUGB6 Einingar
Nánari upplýsingarÞjóðhagfræðiSkyldaV-103-THAG6 Einingar
Nánari upplýsingarHagnýt stærðfræði ISkyldaV-104-STÆR6 Einingar
Nánari upplýsingarMarkaðsfræði ISkyldaV-105-MAR16 Einingar
Nánari upplýsingarFjármál fyrirtækjaSkyldaV-107-FJAR6 Einingar
Nánari upplýsingarReikningshaldSkyldaV-108-REHA6 Einingar
Nánari upplýsingarLífið í háskóla - Velgengni í námi og starfiSkyldaV-111-LIFE1 Einingar
Nánari upplýsingarHvernig skara ég framúrSkyldaV-300-SKAR0 Einingar
Nánari upplýsingarGerð og greining ársreikningaSkyldaV-307-GARS6 Einingar
Nánari upplýsingarAlþjóðaviðskiptiValnámskeiðV-308-ALVI6 Einingar
Nánari upplýsingarApplied Game TheoryValnámskeiðV-332-AGTH6 Einingar
Nánari upplýsingarHagnýt tölfræði IISkyldaV-406-TOL26 Einingar
Ár
1. árPrenta
ÖnnHaustönn/Fall 2023
Stig námsgreinar3. Grunnnám, sérhæft námskeið
Tegund námskeiðsSkylda
UndanfararV-303-TOL1, Hagnýt tölfræði I
SkipulagFjórir tímar á viku, fyrirlestrar og dæmatímar.
Kennari
Ewa Ryszarda Lazarczyk Carlson
Lýsing
The course focuses on a study of linear regression, the theory behind and the application of the method. Part 1 of the course covers simple and multiple regressions which are used in the analysis of cross-sectional data. Part 2 introduces basic time series models. Examples of simple economic applications are used throughout the course. Students use SPSS. License to use SPSS can be purchased at the reception desk in Sólin. During the course students will get some guidance on how to use the program. However, it has to be noted that this statistical program is only the means to an end – the course’s aim is not to thoroughly teach how to use SPSS, it is to be able to perform the chosen analysis with the use of the computer software and primarily to understand the results and be able to judge the adequacy of the model and its fit to data.
Námsmarkmið
  • The method of linear regression (K1),
  • Assumptions necessary to perform regression analysis (K2),
  • Basic test necessary to verify the fit of the model (K3),
  • Interpretation of the results (K4),
  • Basic time series methods (K5).
  • Choose the appropriate method for the data at hand (S1),
  • Use it to analyze the data (S2),
  • Interpret the results (S3).
  • Students should become familiar with using a chosen statistical package (SPSS will be the program used in class) (S4).
  • Students should be able to use econometric models for decision-making (C1),
  • Be able to judge the adequacy of the method used for analysis (C2),
  • Be able to read and evaluate simple research papers that use these methods (C3),
  • Be able to present the research results in a comprehensible and brief way (C4).
Námsmat

Lesefni
Ekkert skráð lesefni.
Kennsluaðferðir
Lectures will take place twice a week (Wednesdays and Fridays). Wednesdays’ lectures will be organized as typical lectures where teacher presents material and relevant examples. Most of the content of Wednesdays´ lectures will be available on slides that will be uploaded on Wednesdays mornings. However, there will be additional examples that will be solved on the board and they will not be part of slides. Students are required to take notes.Fridays’ lectures will be organized as problem solving sessions (called Exercise Session in the Study Plan). Students will be presented with a number of exercises covering material discussed in class and they will be required to work on those during the class. It is advisable that students bring the book and lecture notes to these sessions. In total, there will be eight Exercise Sessions. After the end of the class each student is required to submit an answer sheet/Exercise Session Report to the teacher. The precise way of sending the report will be explained later in the class. These reports will only receive grade of Pass+, Pass or Fail. In order to get Pass+ all answers have to be correct, in order to pass (receive Pass) more than 50% of the answers need to be correct.The detailed schedule can be found in this document. Please be aware that it might be prone to changes and updates during the semester.The course does not require much learning by heart. Instead it relies heavily on your ability to understand the topics covered and your ability to use relevant methods where needed. To acquire that level of knowledge, skills and competences requires that you take an active role in your studies throughout the course.The assignments in the textbook, material covered in lectures and assignments for problem solving sessions will be equally covered in the final.TA classes:Once a week there will be problem solving sessions with a Teaching Assistant (TA). They will start in the second week of the course. Please prepare for the TA sessions. This means: try solving assigned exercises before the class takes place. Most students learn the most when they prepare before-hand and check their solutions with the solutions given by the TA.
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