The purpose of this research is to provide some insights into relationship between decisionmaking heuristics and perceived quality of life. Using the purposive sampling technique, data collection was carried out, in Bosnia and Herzegovina, from June to October 2020, yielding a sample of 319 valid responses. To gain a better understanding of the relationship between decision-making heuristics and the perceived quality of life, we, primarily, use descriptive statistical analysis, chi-square test and probit regression model. The research findings have revealed positive association between all three decision-making heuristics, i.e. representativeness, anchoring, availability, and perceived quality of life. Furthermore, the group with above-average perceived quality of life have higher representativeness, anchoring, and availability scores comparing to the group with below-average perceived quality of life. These differences are statistically significant. Furthermore, out of three decision-making heuristics components, availability, or a heuristic whereby people make judgments about the likelihood of an event based on how easily a similar example comes to mind, seems to be the strongest predictor of the perceived quality of life. Memories that are easily recalled are often insufficient for estimating likelihood of occurring similar events again in the future. In that respect, availability may produce low-quality information in the decision making process. Ultimately, this may lead to bad decisions.

– Homeschooling is a term typically used to describe the form of education where parents educate their own children at home with little to no contact with public school education. The purpose of this study is to gather information on the public opinion of homeschooling in Sarajevo Canton, Bosnia and Herzegovina, as well as to see how the COVID-19 pandemics affected this opinion. For this purpose, a survey was conducted and, as a result, information on the topic is gathered. The general opinion of the public leaned more towards the negative end when all the results were summarized. Homeschooling, in general, is not a term that people are familiar with and accepting of in t h e region of Sarajevo Canton, Bosnia and Herzegovina. Additionally, the COVID-19 pandemic has not had a positive influence on the opinion of the homeschooling.

Based on previous research on energy efficiency of the buildings, particularly their cooling load capabilities we will develop a collection of machine learning methods for detecting buildings with best cooling load capabilities. This collection will study the influence of 8 input variables (relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, glazing area distribution) on one output parameter, that is cooling load of buildings. The results of this study support the practicability of using machine-learning software to estimate building parameters as a convenient and accurate approach, as long as the methods chosen are well suited for the type of data in question.