Probability & Statistics - Syllabus

Overview of E-commerce and its significance in the digital age.

Understanding the differences between E-business and E-commerce.

Key characteristics and benefits of E-commerce.

Types of E-commerce models and their applications.

Evolution and development of E-commerce over time.

Understanding the components of E-commerce framework including People, Public Policy, Marketing and Advertisement, Support Services, and Business Partnerships.

Overview of different types of E-commerce including B2C, B2B, C2B, C2C, M-Commerce, U-commerce, Social-Ecommerce, and Local E-commerce.

This topic covers the fundamentals of designing databases, including the relational database model, normalization, and transforming E-R diagrams into relations.

This topic focuses on designing forms and reports, including formatting and assessing usability to create effective user interfaces.

The internship work should be relevant to the field of computer science and information technology, with a minimum duration of 180 hours or ten weeks.

The internship evaluation consists of three phases: Proposal Submission, Mid-Term Submission, and Final Submission.

A regular faculty member of the college is assigned as a supervisor to supervise the students throughout the internship period.

A regular employee of the intern providing organization is assigned as a mentor to guide the students throughout the internship period.

The evaluation scheme consists of Proposal Defense, Midterm, and Final Defense, with a total of 200 marks.

The internship report should contain prescribed content flow, including introduction, problem statement, objectives, and references.

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.

Goals and techniques for scheduling processes, including batch, interactive, and real-time systems.

The distribution of a statistic obtained from multiple samples of a population. It is a fundamental concept in inferential statistics.

The distribution of the sample mean and proportion, which are used to make inferences about the population mean and proportion.

A fundamental theorem in statistics that states that the sampling distribution of the mean will be approximately normal, even if the population distribution is not normal.

The branch of statistics that deals with making inferences about a population based on a sample of data.

The process of making an educated guess about a population parameter based on a sample of data.

Different techniques used to estimate population parameters, such as maximum likelihood estimation and method of moments.

The characteristics of a good estimator, including unbiasedness, consistency, and efficiency.

The process of determining the required sample size to achieve a desired level of precision in estimation.

The distribution of a statistic obtained from multiple samples of a population. It is a fundamental concept in inferential statistics.

The distribution of the sample mean and proportion, which are used to make inferences about the population mean and proportion.

A fundamental theorem in statistics that states that the sampling distribution of the mean will be approximately normal, even if the population distribution is not normal.

The branch of statistics that deals with making inferences about a population based on a sample of data.

The process of making an educated guess about a population parameter based on a sample of data.

Different techniques used to estimate population parameters, such as maximum likelihood estimation and method of moments.

The characteristics of a good estimator, including unbiasedness, consistency, and efficiency.

The process of determining the required sample size to achieve a desired level of precision in estimation.

The relationship between the sample size and the desired level of error in estimation, including the concept of margin of error.

This topic covers the fundamentals of designing databases, including the relational database model, normalization, and transforming E-R diagrams into relations.

This topic focuses on designing forms and reports, including formatting and assessing usability to create effective user interfaces.

This topic explores the design of interfaces and dialogues, including interaction methods and devices, and designing interfaces and dialogues in graphical environments.

Addressing common challenges and considerations that arise during the implementation phase of software development.

Exploring the principles, benefits, and best practices of open-source software development.