Computational Achievement of Group IV Trainees with a Self-Study Format: Effects of Introducing Audio, Withdrawing Assistance, and Increasing Training Time

1974 ◽  
Author(s):  
R. E. Main
Keyword(s):  
Group Iv ◽  
Training Time ◽  
Self Study ◽  
Format Effects ◽  
Study Format

scholarly journals Implementation of a Flexible Learning Study Programme in a Blended-Learning Design: Results from the First Two Cohorts

2019 ◽  
pp. 1-9
Author(s):  
Claude Muller ◽  
Reinhild Fengler
Keyword(s):  
Blended Learning ◽  
Learning Study ◽  
Learning Design ◽  
Flexible Learning ◽  
Instructional Videos ◽  
Study Programme ◽  
Self Study ◽  
University Of Applied Sciences ◽  
E Learning ◽  
Study Format

Zurich University of Applied Sciences (ZHAW) launched the flexible learning study format FLEX, a blended learning design allowing students increased flexibility as to when and where they study. FLEX reduces classroom time by about half, while adding an e-learning environment for self-study that includes instructional videos. An analysis of the first two cohorts in the assessment level showed that the new study format was broadly accepted and that students using the FLEX format achieved exam results equivalent to students in the conventional learning format.

Luminescence from individual dislocations in II-VI and III-V semiconductors

1991 ◽  
Vol 49 ◽  
pp. 834-835
Author(s):  
J W Steeds
Keyword(s):  
Group Iv ◽  
Luminescence Properties ◽  
Carrier Recombination ◽  
Transmission Electron ◽  
Wide Range ◽  
Basic Physics ◽  
Semiconducting Compounds ◽  
Diamond Group ◽  
Non Destructive ◽  
Technological Significance

There is a wide range of experimental results related to dislocations in diamond, group IV, II-VI, III-V semiconducting compounds, but few of these come from isolated, well-characterized individual dislocations. We are here concerned with only those results obtained in a transmission electron microscope so that the dislocations responsible were individually imaged. The luminescence properties of the dislocations were studied by cathodoluminescence performed at low temperatures (~30K) achieved by liquid helium cooling. Both spectra and monochromatic cathodoluminescence images have been obtained, in some cases as a function of temperature.There are two aspects of this work. One is mainly of technological significance. By understanding the luminescence properties of dislocations in epitaxial structures, future non-destructive evaluation will be enhanced. The second aim is to arrive at a good detailed understanding of the basic physics associated with carrier recombination near dislocations as revealed by local luminescence properties.

The advantages of self-study CPR

1989 ◽  
Vol 53 (2) ◽  
pp. 139-141
Author(s):  
RE Watson ◽  
J Hollway ◽  
TB Fast
Keyword(s):  
Self Study

ISOMER-SHIFT SYSTEMATICS OF 57Co IMPLANTED IN GROUP IV SEMICONDUCTORS

1976 ◽  
Vol 37 (C6) ◽  
pp. C6-893-C6-896 ◽  
Author(s):  
G. WEYER ◽  
G. GREBE ◽  
A. KETTSCHAU ◽  
B. I. DEUTCH ◽  
A. NYLANDSTED LARSEN ◽  
...  
Keyword(s):  
Isomer Shift ◽  
Group Iv ◽  
Group Iv Semiconductors

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

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