1. No category

Predmet
Course title
UČNI NAČRT PREDMETA/COURSE SYLLABUS
Modeli za odločanje
Decision Models
Študijski program in stopnja
Study programme and level
Upravljanje in poslovanje 1
Business and Management 1
Študijska smer
Study field
Upravljanje in poslovanje
Business and Management
Letnik
Academic year
2.
2nd
Semester
Semester
4.
4th
obvezni/obligatory
Vrsta predmeta/Course type
Univerzitetna koda predmeta/University course code
Predavanja
Lectures
Seminar
Seminar
30
Sem. vaje
Tutorial
Lab. vaje
Laboratory
work
Teren. vaje
Field work
30
Nosilec predmeta/Lecturer:
dr. Laura Južnik Rotar
Jeziki/
Languages:
Predavanja/Lectures:
slovenski/Slovenian
Vaje/Tutorial:
slovenski/Slovenian
Samost.
delo
Individ.
work
ECTS
90
6
Pogoji za vključitev v delo oz. za opravljanje
Prerequisites:
študijskih obveznosti:
Pogoj za vključitev v delo je vpis v 2.
The prerequisite for participation is
letnik študija.
enrolment in the second year of study.
Pred izpitom mora študent pripraviti in
Students have to successfully prepare
predstaviti seminarsko nalogo.
and present a seminar paper before the
examination.
Vsebina:
Content (Syllabus outline):
Modeli za odločanje v menedžmentu.
Decision models in management.
Proces odločanja. Interdisciplinarni okvir
Decision
process.
Interdisciplinary
odločanja. Razvrščanje modelov glede na
framework of decision making. Model
smotre
in
cilje.
Metode
classification according to purpose and
večparametrskega odločanja.
objectives. Multicriteria decision making
methods.
Teorija odločitev. Poslovno odločanje v
podjetju.
Odločitve
v
pogojih
Decision theory. Business decision
negotovosti. Odločitve v pogojih
making. Decisions in the conditions of
tveganja. Kompleksna drevesa odločanja.
uncertainty. Decisions in the conditions
Uvajanje novih informacij v proces
of risk. Complex decision trees.
odločanja.
Introduction of new information into
decision process.
Modeli
za
odločanje.
Linearno
programiranje. Teorija iger. Metode
Decision models. Linear programming.
napovedovanja. Teorija čakalnih vrst
Game theory. Forecasting methods.
strežbe.
Poslovanje
z
zalogami.
Waiting
lines
theory.
Inventory
Računovodski izkazi in kazalniki.
management. Accounting statements and
Metode za ocenjevanje investicij. Metodi
performance
indicators.
Capital
za načrtovanje in nadziranje projektov:
budgeting methods. Project management
CPM in PERT. Krivulja izkušenj.
Modeli za razvrščanje in ocenjevanje.
Simulacije.
Sistemska
dinamika.
Portfeljska analiza. Scenariji. Veriga
vrednosti. Kvantitativni trženjski modeli
in poslovno odločanje.
methods: CPM and PERT. Experience
curve.
Models for classification and estimation.
Simulation. System dynamics. Portfolio
analysis. Scenarios. Chain value.
Quantitative marketing models and
business decision making.
Temeljna literatura in viri/Readings:
Temeljna literature/Basic literature
Bohanec, M. (2006). Odločanje in modeli. Ljubljana: DMFA.
Hudej, F., Zidarn, J. (2000). Odločitveni modeli. Novo mesto: Visoka šola za upravljanje in
poslovanje Novo mesto.
Prašnikar, J., Debeljak, Ž. (1998). Ekonomski modeli za poslovno odločanje. Ljubljana:Gospodarski
vestnik.
Salvatore, D. (2001). Managerial Economics in a Global Economy. Nwe York: Harcourt.
Samuelson, W. F. in Marks, S. G. (2002). Managerial Economics. New York: Wiley&Sons.
Priporočljiva literature/Recommended literature
Adams, J. in Juleff, L. (2003). Managerial Economics for Decision Making. New York: Palgrave
Macmilan.
Biloslavo, R. (1999). Metode in modeli za management. Koper: Visoka šola za management.
Mark, T. in sod. (2000). Management Decision Making. London: Prentice Hall- Financial Times.
Monahan, G. E. (2000). Management Decision Making. London: Cambridge, University Press.
Cilji in kompetence:
Učna enota prispeva predvsem k razvoju
naslednjih splošnih in specifičnih kompetenc:
poznavanje in razumevanje procesov
v poslovnem okolju organizacije in
sposobnost za njihovo analizo,
sintezo in predvidevanje rešitev ter
njihovih posledic;
usposobljenost za raziskovanje na
področju upravljanja in poslovanja
ter razvoj kritične in samokritične
presoje;
fleksibilna uporaba znanja v praksi;
sposobnost za upravljanje s časom,
za samopripravo in načrtovanje ter
samokontrolo izvajanja načrtov;
sposobnost za reševanje konkretnih
delovnih problemov na področju
upravljanja in poslovanja z uporabo
znanstvenih metod in postopkov;
sposobnost pridobivanja, selekcije in
evalvacije novih informacij in
zmožnost ustrezne interpretacije v
kontekstu na področju ekonomije,
podjetništva, poslovne informatike,
človeških
virov,
kvantitativnih
Objectives and competences:
The learning unit mainly contributes to the
development of the following general and specific
competences:
knowledge and understanding of
processes in organisational business
environment and capability of their
analysis, synthesis and forecasting
solutions as well as their consequences;
capability for research in the field of
management and business and the
development of critical judgement and
self-assessment;
flexible use of knowledge in practice;
capability of time management, of selfpreparation and planning as well as selfcontrol of plan implementation;
capability of solving concrete working
problems in the area of business and
management with the use of scientific
methods and procedures;
ability to access, select and evaluate new
information and the ability of relevant
interpretation in the context of
economics, entrepreneurship, business
information technology, dealing with
metod, prava in poslovodenja;
razumevanje in uporaba metod
kritične analize in razvoja teorij ter
njihova uporaba pri reševanju
konkretnih delovnih problemov;
sposobnost uporabe informacijskokomunikacijske
tehnologije
in
sistemov na področju upravljanja in
poslovanja;
usposobljenost za preverjanje in
ocenjevanje dosežkov zaposlenih ter
oblikovanje povratnih informacij.
people, quantitative methods, law and
management;
understanding and application of
methods of critical analysis, theories
development and their applications in
solving practical work-related problems;
capability of ICT use and use of systems
in the area of business and management;
capability of verification and estimation
of employees’ achievements and suitable
feedback.
Predvideni študijski rezultati:
Intended learning outcomes:
Znanje in razumevanje:
Knowledge and understanding:
Študent/študentka:
Students:
razume interdisciplinarno naravo procesa
understand the interdisciplinary nature of
odločanja;
decision process;
pozna glavne vrste modelov za odločanje
know the basic types of decision models
ter njihove smotre in cilje;
as well as their goals and objectives;
zna uporabljati temeljna pravila za
know how to use the basic decision rules
odločanje
v pogojih negotovosti
in terms of uncertainty (maximax,
(maksimaks,
maksimin,
minimaks
maximin, minmax oportunity loss, Bayes
oportunitetne izgube, Bayesovo pravilo);
rule);
za odločanje v pogojih tveganja zna
in terms of risk know how to use the
uporabljati
matrike
posledic
in
matrix of consequences and decision
odločitvena pravila;
rules;
zna uporabljati sodobna programska
know how to use contemporary computer
orodja za podporo odločanju;
programs as a support to decision
making;
zna samostojno obdelati konkreten
are capable of an independent analysis of
problem odločanja iz poslovnega okolja.
concrete decision problem from the
business environment.
Metode poučevanja in učenja:
Learning and teaching methods:
predavanja z aktivno udeležbo študentov
lectures with active participation of
(razlaga, diskusija, vprašanja, primeri,
students (explanation, discussion,
reševanje problemov);
questions, cases, problem solving);
seminarske vaje v vsebinski povezavi s
tutorial in connection with practice
prakso (refleksija izkušenj, projektno
(reflexion of experiences, project work,
delo, timsko delo, metode kritičnega
team work, methods of critical thinking,
mišljenja, diskusija, sporočanje povratne
distributing feedback information);
informacije);
individual and group consultations
individualne in skupinske konzultacije
(discussion, further explanation,
(diskusija, dodatna razlaga, obravnava
addressing specific topics);
specifičnih vprašanj);
lab exercises (in the computer room –
laboratorijske vaje (v rač. učilnici students get familiar with computer tools
spoznavajo lahko programska orodja za
as a support to decision making, for
podporo odločanju, npr. za ocenjevanje
example, investment estimation, project
investicij, za načrtovanje in nadziranje
management, linear programming, etc.).
projektov, za linearno programiranje itd.
Načini ocenjevanja:
Način (pisni izpit, ustno spraševanje,
naloge, projekt):
pisni (ustni) izpit.
seminarska
naloga
predstavitvijo in zagovorom
s
Delež (v %)
Weight (in %)
70
30
Assessment:
Types (written examination, oral
examination, coursework, project):
written (oral) exam
seminar
presentation
defence
and