Viðskiptadeild
Deildarforseti:Dr. Friðrik Már Baldursson
Vefpóstur:vd@ru.is
Vefsíða:http://www.ru.is/vd
KennararSkoða
MSc í markaðsfræði - 90 ECTS
Annir:3
Einingar:90
HæfniviðmiðSkoða
Táknmyndir
Skyldufag á brautKennslutungumál
Valfag á brautUndanfarar fyrir námskeið
Prenta
Haustönn/Fall 2019
Nánari upplýsingarCreative Approaches and Entrepreneurial MindsetsValnámskeiðV-702-CREM7,5 Einingar
Nánari upplýsingarInnovation and Entrepreneurship: A field of knowledge and practiceValnámskeiðV-703-INEN7,5 Einingar
Nánari upplýsingarFundamentals in Tourism and Hospitality ManagementValnámskeiðV-704-FTHM7,5 Einingar
Nánari upplýsingarFinancial Reporting and Accounting Standards IValnámskeiðV-705-FIR17,5 Einingar
Nánari upplýsingarAuditing, Auditing Standards and Ethics in Accounting and AuditingValnámskeiðV-706-AUD17,5 Einingar
Nánari upplýsingarStrategic ManagementSkyldaV-712-STJO7,5 Einingar
Nánari upplýsingarOrganizational PsychologyValnámskeiðV-715-ORPS7,5 Einingar
Nánari upplýsingarAdvanced Business InformaticsValnámskeiðV-725-ABIN7,5 Einingar
Nánari upplýsingarStaffing: from recruitment to terminationValnámskeiðV-730-STRT7,5 Einingar
Nánari upplýsingarLabour lawValnámskeiðV-731-LALA3,75 Einingar
Nánari upplýsingarChange management and leadershipValnámskeiðV-736-CMLE7,5 Einingar
Nánari upplýsingarInternational MarketingSkyldaV-736-INMA7,5 Einingar
Nánari upplýsingarAdvanced and digital marketingSkyldaV-738-ADDM7,5 Einingar
Nánari upplýsingarEnterprise ArchitecturesValnámskeiðV-746-ENAR7,5 Einingar
Nánari upplýsingarInternshipValnámskeiðV-748-INTE7,5 Einingar
Nánari upplýsingarInternshipValnámskeiðV-748-INTE7,5 Einingar
Nánari upplýsingarInternational FinanceValnámskeiðV-767-INTF7,5 Einingar
Nánari upplýsingarCorporate TaxationValnámskeiðV-772-TAX17,5 Einingar
Nánari upplýsingarAdvanced Topics in Emerging TechnologiesValnámskeiðV-795-ATET7,5 Einingar
Nánari upplýsingarPerformance ManagementValnámskeiðV-830-PEMA3,75 Einingar
Nánari upplýsingarPortfolio ManagementValnámskeiðV-862-PORT7,5 Einingar
Nánari upplýsingarEquity AnalysisValnámskeiðV-863-EQUI7,5 Einingar
Nánari upplýsingarMeistararitgerð/hlutaskilValnámskeiðV-888-THHL7,5 Einingar
Nánari upplýsingarResearch ProposalSkyldaV-898-REPR0 Einingar
Nánari upplýsingarMeistararitgerðSkyldaV-898-THES30 Einingar
Nánari upplýsingarSkiptinámValnámskeiðX-699-EXCH30 Einingar
Vorönn/Spring 2020
Nánari upplýsingarSamþætt verkefni I ; hugmynd og hönnunValnámskeiðT-800-INT18 Einingar
Nánari upplýsingarGlobal Issues in Travel and TourismValnámskeiðV-711-GLTT7,5 Einingar
Nánari upplýsingarConsumer BehaviorValnámskeiðV-712-COBE3,75 Einingar
Nánari upplýsingarInnovation ManagementValnámskeiðV-713-INNM7,5 Einingar
Nánari upplýsingarEntrepreneurship and Innovation in ContextValnámskeiðV-715-ENIC3,75 Einingar
Nánari upplýsingarGreining og stjórnun viðskiptaferlaValnámskeiðV-716-BPMA7,5 Einingar
Nánari upplýsingarFixed Income AnalysisValnámskeiðV-716-FINC3,75 Einingar
Nánari upplýsingarStjórnun og eftirlitskerfiValnámskeiðV-717-CPMA7,5 Einingar
Nánari upplýsingarFjármál og frumkvöðlastarfssemiValnámskeiðV-733-ENTR7,5 Einingar
Nánari upplýsingarInternational and labour economicsValnámskeiðV-733-ILEC7,5 Einingar
Nánari upplýsingarBranding and Strategic MarketingSkyldaV-741-BRAN7,5 Einingar
Nánari upplýsingarStrategic HRM and MetricsValnámskeiðV-745-STRA7,5 Einingar
Nánari upplýsingarBusiness Research MethodologySkyldaV-746-REME7,5 Einingar
Nánari upplýsingarInternshipValnámskeiðV-748-INTE7,5 Einingar
Nánari upplýsingarÞættir í fjármálastjórnun fyrirtækjaValnámskeiðV-763-COR27,5 Einingar
Nánari upplýsingarGerð reikningsskila og staðlar um reikningsskil IIValnámskeiðV-765-FIR27,5 Einingar
Nánari upplýsingarApplied DerivativesValnámskeiðV-766-APDE7,5 Einingar
Nánari upplýsingarSamstæðureikningsskil fyrirtækjaValnámskeiðV-767-SARE7,5 Einingar
Nánari upplýsingarRekstrargreining og viðskiptagreindValnámskeiðV-784-REK57,5 Einingar
Ár
1. árPrenta
ÖnnVorönn/Spring 2020
Stig námskeiðsÓskilgreint
Tegund námskeiðsSkylda
UndanfararV-715-ABIN, Þættir í upplýsingastjórnun fyrirtækja
SkipulagEkkert skráð skipulag.
Kennari
Jón Bjarki Gunnarsson
Lýsing
In the modern business world, decisions can no longer be solely based on gut feelings and personal data. Rapid changes in customer preferences, unlimited access to information, mounting competitor pressures and evolving technology, make decision support for managers a critical function in every company. The field of business intelligence (BI), analytics and decision support systems has evolved from personal support tools to company wide applications, technology solutions, functions and competencies.This course deals with the technologies, competencies and solutions that support managerial work and decision making. The course provides a theoretical basis of decision making, describes how information technology can support and improve such decision making, what types of decision support systems there are, the nature and evolution of business intelligence, the tools and techniques of managerial decision support and describes some of the emerging technologies and trends in the business.The course discusses the following parts:·      Managerial and decision support – Theoretical discussions and basis·      Discussions about data assets, ethical concerns of managing and controlling information·      Managing and measuring the quality of data·      Data Warehousing, fundamentals of data modeling and the handling of master data·      Fundamental concepts of datamining, artificial intelligence, machine learning and data predictions·      Business performance management, analytics and reporting and its relation to data management and decision making·      Various emerging trends in the BI business.The course should provide the student with a framework to understand decision support and business intelligence solutions, -work and projects. Based on textbook readings, cases and projects the student learns to apply this framework. The course will focus on generic approaches to decision support and business intelligence but will also include discussions on real life examples from Icelandic as well as foreign companies. Furthermore, there are planned sessions with companies which will describe their experiences with implementing decision support, business intelligence and performance management solutions.Please note that this course contains fair amount of technical details and -discussion. Experience has shown that the material is better suited for students with some prior knowledge and preparation from IT related courses or similar experience from work. 
Námsmarkmið
Collection of facts, concepts, theories and techniques acquired by students.
The student should be able to:
• Identify the major frameworks of computerized decision support, decision support systems (DSS), data analytics and business intelligence (BI).
• Describe the nature of information and data, explain their basic difference and its use in managerial decision making
• Explain the context and importance of gathering and managing data in the society and economy.
• Describe the core concepts of decision making and discuss how IT systems can support effective decision making.
• Discuss and know the main building blocks of data management systems as well as List the definitions, concepts, and architectures of data warehousing
• Describe the basic concepts of advanced analytics methods and understand their application
• Identify the major ethical and legal issues of analytics and data management
Skills:
During the course, student will have acquired the skills to perform various tasks of a BI and Information management specialists. The student should:
• Be able to critically evaluate strengths and weaknesses of BI projects
• Know the basic building blocks of a good BI program and how to apply them correctly
• Gathered knowhow on basic BI tools and evaluate their fit for purpose
• Know BI project best practices for BI projects and know how to apply them        
Competences:
The student will have acquired the ability to apply knowledge and skills in Business Intelligence projects and regular business settings. The student should be able to:
• Effectively communicate course work in writing and oral presentation.
• Participate actively in BI projects and be ready to apply best practices BI work
• Make judgement on quality of data and assess the its impact on decision making.
• Create and participate in data quality projects through various roles
• Participate in gathering information on and create high quality KPIs
• Act as an active member BI teams focusing on information management
Námsmat
Participation and attendance – 20%
Mid term project – 30%-
Final exam – 50%
Lesefni
Ekkert skráð lesefni.
Kennsluaðferðir
Teaching will be combined of various approaches:·         Lectures from teacher. Presentations will consists on PPT slides, some videos and discussion points.·         Lectures from guest lecturers-practitioners. At least two guest lecturers will pay a visit.·         Case discussions based on cases from within the textbook or from outside resources and exercises. Students will be asked to present their findings both as individuals and in groups.·         Class presentations of group project and “Teach Back” where students will have the opportunity to teach/study each other’s delivery of a case studyA big emphasize is put on students’ participation and good preparation.  
TungumálEnska
Nánari upplýsingarFélaga- og fjármunarétturValnámskeiðV-802-BULA7,5 Einingar
Nánari upplýsingarTourism MarketingValnámskeiðV-840-TOMA7,5 Einingar
Nánari upplýsingarTraining and DevelopmentValnámskeiðV-840-TRDE3,75 Einingar
Nánari upplýsingarReikningshald, afleiður og aðrir fjármálagerningarValnámskeiðV-871-AFLE7,5 Einingar
Nánari upplýsingarMeistararitgerð/hlutaskilValnámskeiðV-888-THHL7,5 Einingar
Nánari upplýsingarResearch ProposalSkyldaV-898-REPR0 Einingar
Nánari upplýsingarMeistararitgerðSkyldaV-898-THES30 Einingar
Nánari upplýsingarSkiptinámValnámskeiðX-699-EXCH30 Einingar