Business Statistics - Syllabus

An overview of computers and their significance in today's world. This topic sets the stage for understanding the basics of computers.

Understanding the difference between digital and analog computers, their characteristics, and applications.

Exploring the key characteristics of computers, including input, processing, storage, and output.

A brief history of computers, from their inception to the present day, highlighting key milestones and developments.

Understanding the different generations of computers, including their features, advantages, and limitations.

Categorizing computers based on their size, functionality, and application, including desktops, laptops, and mobile devices.

An in-depth look at the components of a computer system, including hardware and software.

This topic covers the fundamental technologies used on the client-side of web development, including HTML, CSS, and JavaScript.

This topic explores the use of JQuery, a popular JavaScript library, for client-side scripting and DOM manipulation.

This topic discusses the importance of form validation and how to implement it using ASP.NET Core, including client-side and server-side validation techniques.

This topic introduces Single Page Application (SPA) frameworks, including Angular and React, and their role in building dynamic and interactive client-side applications.

SaaS implementation issues, key characteristics of SaaS, benefits of the SaaS model.

A cloud service model framework.

Creating custom objects with properties and methods.

Handling events and validating form data with JavaScript.

Graphic presentation involves using graphs such as histograms, frequency polygons, and frequency curves to present data. It is a visual way of presenting data, making it easy to understand and analyze.

A histogram is a type of graph that uses bars to represent the frequency of different ranges of values. It is commonly used to display continuous data.

A frequency polygon is a type of graph that uses lines to connect the points representing the frequency of different ranges of values. It is commonly used to display continuous data.

The organization of memory in a computer system, including main memory, RAM, ROM, and auxiliary memory. This topic covers the memory address map and connection to the CPU.

The primary storage for data and program instructions in a computer system, including RAM and ROM chips.

A type of memory that uses hardware organization and match logic to perform read and write operations.

A small, fast memory that stores frequently accessed data, using locality of reference and mapping to improve performance.

Secondary storage devices, including magnetic disks and magnetic tapes, used to store data and programs when not in use by the CPU.

Identifying and addressing common sources of measurement problems in business research, including errors and biases.

Understanding the concepts of population, sample, and sampling in business research, including the importance of sampling and its applications.

Exploring the factors that influence the size of the sample in business research, including population size, variability, and desired level of precision.

The organization of memory in a computer system, including main memory, RAM, ROM, and auxiliary memory. This topic covers the memory address map and connection to the CPU.

The primary storage for data and program instructions in a computer system, including RAM and ROM chips.

A type of memory that uses hardware organization and match logic to perform read and write operations.

A small, fast memory that stores frequently accessed data, using locality of reference and mapping to improve performance.

Secondary storage devices, including magnetic disks and magnetic tapes, used to store data and programs when not in use by the CPU.

Identifying and addressing common sources of measurement problems in business research, including errors and biases.

Understanding the concepts of population, sample, and sampling in business research, including the importance of sampling and its applications.

Exploring the factors that influence the size of the sample in business research, including population size, variability, and desired level of precision.

Skewness is a measure of asymmetry of a probability distribution. It measures how much a distribution deviates from a normal distribution.

This topic covers the methods of measuring skewness, including Karl Pearson's and Bowley's methods, and the five-number summary and box-whisker plot.

Kurtosis is a measure of the tailedness of a probability distribution. It measures how much a distribution deviates from a normal distribution in terms of peakedness.

This topic covers the methods of measuring kurtosis, including the percentile method.

Moments are summary measures of a probability distribution. They describe the shape and characteristics of a distribution.

Central moments are moments measured around the mean, while raw moments are moments measured around zero. This topic covers the relationship between central and raw moments.

This topic covers the method of measuring skewness and kurtosis using moments.

Overview of software tools used for simulation, including their features and applications.

Introduction to programming languages specifically designed for simulation, such as GPSS.

In-depth study of the GPSS simulation language, including its syntax, features, and examples.

Analysis of real-world examples of simulation in different domains, highlighting their objectives, methodologies, and outcomes.

Concepts and techniques for designing and developing simulation models, including model types and their applications.

Methods for building mathematical models that can be used for simulation, including equation-based and algorithmic models.

This topic covers various project management techniques used to plan, organize, and control projects. It includes developing project management plans and implementing, monitoring, and controlling projects.

This topic focuses on creating an environment that fosters collaboration and teamwork. It includes communications planning, organizing and conducting effective meetings, and other collaborative development strategies.

Methods of communication between processes, including race conditions and critical sections.

Techniques for achieving mutual exclusion, including busy waiting, sleep and wakeup, semaphores, monitors, and message passing.

Solutions to classic inter-process communication problems, including producer-consumer, sleeping barber, and dining philosopher problems.

Concept of query processing, including the steps involved in processing a query and the role of the query processor.

Query trees and heuristics for query optimization, including the use of query trees to represent queries and heuristics to guide optimization.

Choice of query execution plans, including the factors that influence the choice of plan and the importance of plan selection.

Cost-based optimization, including the use of cost estimates to guide optimization and the role of cost-based optimization in query processing.

This topic covers the metrics and methods used to measure the performance of queuing systems, including efficiency, effectiveness, and quality of service.

This topic explores the concept of networks of queuing systems, with a focus on computer systems and their applications.