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Competence in logistics – designing a meta-model of logistics knowledge areas
Niine, Tarvo
;
Koppel, Ott
DAAAM International Scientific Book 2014
2014
/
p. 543-556 : ill
artikkel kogumikus
2
artikkel ajakirjas
Logistics systems engineer - interdisciplinary competence model for modern education
Niine, Tarvo
;
Koppel, Ott
International journal of engineering pedagogy
2015
/
p. 54-63
http://dx.doi.org/10.3991/ijep.v5i2.4578
artikkel ajakirjas
Kirjeid leitud 2, kuvan
1 - 2
võtmesõna
143
1.
competence models
2.
logistics competence models
3.
APICS competence model
4.
brand competence
5.
competence
6.
competence approach
7.
competence based learning
8.
competence centre
9.
competence expectations
10.
competence learning
11.
competence model
12.
competence of the Union
13.
competence-based education
14.
competence-based learning
15.
engineers’ competence
16.
entrepreneurship competence
17.
logistics competence model
18.
virtual competence assistant
19.
adaptation models
20.
agent-based models
21.
aging models
22.
AI maturity models
23.
analytical models
24.
animal models
25.
atmosphere models
26.
bottom-up models
27.
business development models
28.
business models
29.
capability models
30.
channel models
31.
circular business models
32.
circular economy models
33.
climate models
34.
computational models
35.
control fault models
36.
coupled wave-circulation-atmosphere models
37.
coupled models
38.
data models
39.
demonstration models
40.
didactical models
41.
disease models
42.
dq0 models
43.
DSL meta-models
44.
dynamic models
45.
econometric models
46.
EMT models
47.
energy models
48.
estimation models
49.
excellence models
50.
factor models
51.
factor-augmented vector autoregressive models
52.
fault models
53.
feature space for taxonomy of models of interactive computation
54.
FEM Hertz contact and wear models
55.
FEM Models
56.
fetch-based models
57.
forecasting models
58.
fraud models
59.
functional models
60.
goal models
61.
governance and ownership models
62.
habitat suitability models
63.
hierarchical service models
64.
hybrid models
65.
hydraulic models
66.
in vitro models
67.
input-output models
68.
input–output models
69.
interactive models
70.
interoperability and evolution of healthcare models and software systems
71.
inventory replenishment models
72.
language models
73.
learner models
74.
learning models
75.
linear mixed models
76.
LOD3 models
77.
logic models
78.
logic models and simulation
79.
lower trophic level models
80.
machine learning models
81.
Markov models
82.
mathematical models
83.
mathematical models for economic problems
84.
maturity models
85.
mental models
86.
meta-models
87.
metapopulation models
88.
models
89.
models for risk assessment
90.
models in psychology
91.
Models of computation
92.
multilingual models
93.
multimodal models
94.
multiple regression models
95.
multivariate GARCH models
96.
new learning models
97.
non-linear models
98.
numerical models
99.
ocean models
100.
optimization models
101.
prediction models
102.
predictive models
103.
pre-trained models
104.
price models
105.
probabilistic graphical models
106.
process models and modelling
107.
radio propagation models
108.
regression models
109.
RMS models
110.
rock models
111.
role-models
112.
science-driven models
113.
second generation of tribology models
114.
sectoral models
115.
service models
116.
shared mental models
117.
simulation models
118.
smooth transition VAR models
119.
sparse models
120.
Spatial statistical models
121.
stage and maturity models
122.
stage- and maturity models
123.
stage models
124.
state-space models
125.
static load models
126.
statistical prediction models
127.
structure models
128.
surface models
129.
surgery models
130.
sustainable business models
131.
synthesis on hierarchical service models
132.
synthetic gravity models
133.
teaching models
134.
theoretical models
135.
thermal models
136.
time-averaged models
137.
top-down models
138.
trajectory models
139.
trust models in technology
140.
turbulence models
141.
wavelet models
142.
wind park models
143.
3D models
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