72
ÅboAkademiUniversity2014/2015
INFORMATION TECHNOLOGIES
ManagementScienceand InventoryAnalysis
457305.0
5credits
Intermediate (Bachelor's /undergraduate) level
Lecturedcourse
Offered:Autumn2014
Target audience: Bachelor level students (2nd-3rdyear)
Lecturer: TBA
Aim and content: During several discussions with industry
partners, it has come forth that there is a growing need of
personswith an education inbusiness andquantitative ca-
pabilities. This course is thefirst step toexpose the students
tosuchmethods. It isdesigned forbusinessstudentsandwill
not require rigidmathematical background skills.
Thecoursefocusesonquantitativemethods(i.e.management
sciencemethods) in informationsystems.Basicprinciples for
linear optimization arepresented and the student is taught
how tomodel real problems using both freeware software
andMicrosoft Excel. The student is alsoexposed toqueuing
modelsand inventorymodels. Finally, quantitativemethods
in the context of inventory analysis will be presented. All
methodsare illustratedwithexamples.
After completing thecourse the studentwill beable to
.
Understand and explain the problems that can be
solvedwithmanagementsciencemodels; these include
resourceallocationproblems, networkandassignment
problems, inventory problems, queuingproblems and
issues forusing integer and simulationmodels
.
Solve suchproblemswith suitable tools (such as Excel
and itsadd-ons)
.
Discover the relation betweenmanagement science
tools andmethods and their application to real-world
problems
.
Write reports formanagement on how suchproblems
were tackledand solved
Prerequisites: Basic level courses in InformationSystems
Literature: F.S. Hillier and G.J. Lieberman: Introduction to
OperationsResearch,NewYork :McGraw-Hill 5thed.
Pidd,Michael: Tools forThinking.Modelling inManagement
Science, Chichester: J.Wiley&Sons2nded/2003
Business Intelligence
457512.0
5credits
Advanced (Master's /graduate) level
Lecturedcourse, researchexercises ingroups
Offered:Autumn2014
Target audience:Master level students (4thyear and later)
Lecturer: BarbroBack
Aimand content: Theoverall aimof the course is toprovide
anunderstandingofbusiness intelligence,datawarehousing,
and intelligent systems.
Themaincontentsof thecourseare
.
Business Intelligence
.
Knowledge-based systems
.
Neural networks
After completing this course, studentswill beable to
.
Defineandexplainwhatbusiness intelligence is
.
Define the roleofDataWarehousing inanorganization
and relate the conceptsof datawarehouse to thebusi-
ness intelligenceprocess
.
Identify issueswithextractingdata fromheterogeneous
data sources
.
Definean intelligent system
.
Explain how artificial intelligence differs from human
intelligence
.
Indicatemainadvantagesof intelligent systems
.
Describe themeaningofhuman-likewhendealingwith
intelligent systems
.
Describe the main ideas behind a knowledge-based
system
.
Describe themain ideasbehindneural networks
.
Explainthedifferenceamongthreemainstylesofneural
network learning -supervised, reinforcement,andunsu-
pervised learning.
.
Demonstrate an ability touse softwarewithin the area
of Business Intelligence.
Prerequisites:Bachelordegree in InformationSystems/Busi-
nessor equivalent;DatabasesorDataWarehousing
Computational IntelligenceandManagement
457514.0
5credits
Advanced (Master's /graduate) level
Lecturedcourse
Offered:Autumn2014
Target audience:Master level students (4thyear and later)
Lecturer: JozsefMezei
Aimandcontent: Informationandcommunicationtechnology
[ICT]hasbecomebothanessential resource forbusinessand
anefficient,effectiveanddevelopable instrument forachiev-
ing the strategic targets thatmoderncorporations face. The
courseprovides the studentswithabasis forunderstanding
these relations; the students will be able to independently
study furtherandunderstand thedevelopmentof ICT instru-
ments and their strategic consequences, and to formulate
newstrategicsolutions forcorporations facingthechallenges
posedbyadvances in ICT.
Themaincontentsof thecourseare:
.
Computational Intelligenceandmodernmanagement
.
Artificialvs.Computational Intelligence:Yesterday,Today
andTomorrow
.
EvolutionaryComputationwith IndustrialApplications
.
IntelligentAgentsandSwarm Intelligence
.
DecisionSupport Systems- theNew, Intelligent Era
.
StrategicManagement and Intelligent Support
.
CompetitiveAdvantagesofComputational Intelligence
.
Obstacles forApplyingComputational Intelligence
.
ICTand theProductivityParadox
.
Cyber crimeand information security
After completing thecoursea student shouldbeable to
.
Understand and explain the key possibilities and chal-
lengesofcomputational intelligenceand ICT inmodern
corporations in the form of written essays; the issues
include the potential of computational intelligence,
decisionmakingandDSS, ICT investmentsandproduc-
tivity, strategic management and intelligent support,
competitiveadvantagesof intelligentand interactive ICT,
application of computational intelligence, cybercrime
and IS security technology
.
Learnhow tosearch forandfind relevantdata, informa-
tion and knowledge in support of the issues dealtwith
in thecoursebyworking through internet sourceswith
intelligent ICT tools
.
Read, learn and critically evaluate thematerial of text-
books, articlesandcase studies
Prerequisites:Bachelordegree in InformationSystems/Busi-
nessor equivalent
