Master of my domain bl achievement software#

For this reason, this paper considers dynamic heuristics, such as approximate dy-namic programming algorithms and investigates their suitability to solve the problem. Since actual characteristics of project proposals are only revealed upon arrival, dynamic solution approaches are more likely to obtain good results. planned affects their payout time and as a consequence, the reinvestment revenues, as well as the available capacity for future arriving projects. Capacity planning is a useful tool to support tactical decisions such as due-date quotation, price quotation and hiring non-regular capacity.

The goal consists of maximizing the expected profits of the accepted projects within a finite problem horizon. We consider the dynamic order acceptance and capacity planning problem under limited regular and non-regular resources. This paper highlights the limitations of existing project planning tools, illustrates the power of AI techniques in the construction planning domain through a summary and critique of previous and current research in AI planning, and concludes with a suggested approach to developing AI-based project planning techniques for construction. As a result, more recent research adopts the knowledge engineering methodology as an efficient approach for developing planning systems. However, the weak methods, employing little domain knowledge, originally used in AI for planning, proved inadequate for complex real-life problems such as project planning. Artificial Intelligence (AI) techniques provide the means to generate plans, and to reason with, and provide explanations from, stored knowledge. the knowledge used in generating the project plan. However, a fundamental limitation of these traditional planning techniques is that they are able to manipulate only the data generated by the planning process, not.

Master of my domain bl achievement software#

It would also suggest to school administrators to look into the development of facilities to enhance teaching and learning of the Science.Įnhancements to the theory of network-based planning techniques invented in the late 1950s, along with improved hardware and software environments, have resulted in elegant and powerful tools for planning today’s construction projects. The findings of the study could enable curriculum planners as well as policy makers to suggest more a curriculum more acceptable to students. However, there was no statistically significant difference between the learning style preferences of male and female students. There was a positive correlation between learning style of students and their academic performance while a statistical difference was found between learning styles first-and second-year students in the district. The findings revealed that the most preferred learning style of high school students in the district was the visual (43.6%), followed by kinesthetic (30%), and auditory (26.4%) modes. Pearson's moment correlation and t-test were also employed for the analysis. Descriptive statistics were used to analyze the data in terms of mean, frequencies, etc. The instruments used were 'VAK' Learning Styles Self-Assessment Questionnaire as well as results from Integrated Science Achievement Test (ISAT), with Cronbach's alpha values of 0.80 and 0.85 respectively. Stratified sampling technique was used to select a sample size of 280 students from the accessible population. Ontology and epistemology were the philosophical paradigms that guided the study.

An exploratory survey design with quantitative approach was employed. The study explored the correlation between learning style preferences of high school students and their academic performances in science in the Gomoa East district of Ghana. This article throws lights on the usage of this concept by students and adults to understand their learning style and use this knowledge to their advantage in order to excel in their life Our learning style will influence how we cope with regular tasks in our life such as reading a map, reading book, a project plan etc. Learning styles are influenced by many factors such as individual experience, different intelligence and personality factors such as a preference for learning alone or in a group. This article explains the importance of Based individualized 'learning styles' that originated in the 1970's. It involves personalizing the educating methods, particular to an individual that are presumed to allow that individual to learn best. Most people would have a preference to identifiable method of interacting with, taking in, and processing information. Learning styles are different approaches or ways of learning. This article helps the readers to understand the different learning styles like visual, auditory and kinesthetic, based on the research work of Fernald, Keller, Orton, Gillingham, Stillman, Montessori and Neil D Fleming.