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Java Student Management System: Core Concepts

This document presents a foundational Java program designed to manage student data. It demonstrates key Object-Oriented Programming (OOP) principles through a simple console-based application.

Prerequisites

• Basic understanding of Java programming.
• Familiarity with classes, objects, methods, and variables.

Core Components of the Student System

The Aluno Class: Student Data Model

The Aluno class serves as the blueprint for creating student objects. Each object encapsulates a student's name, course, and a unique registration number.

Class Attributes

• nome (String): Stores the student's name.
• curso (String): Stores the student's enrolled course.
• num_matricula (int): Represents the unique registration number (RA)

1. Telephone communication

it has been the medium used as the first contact with a company. It is used to arrange meetings , interviews or to ask for information, so the impression of the first telephone call is very important

2. Telephone means and equipment

Fixed individual devices

Private branch exchanges (PBX):  it connects calls between two destinations or ends

Mobile devices:

PDA (Personal Digital Assistant) it`s like a small computer (Internet and electronic mail)

Smartphone:  A PDA with video, camera, radio, MP3 player  or television

Services: Internet, e-mail, videoconference, camera, audio and  Video quality player, an agenda, GPS,....

3. Additional services offered by the telephone equipment

3.1 Common features(a,b,c,)

1. Fixed telephony: -

Notice

1. General Questions (35%)

1.1. (5%) What is the difference between a write-back cache and a write-through cache?

Write-back cache: A store only writes data to the cache and marks the corresponding line as dirty. The modified line is written to the lower level of the memory hierarchy only when it is evicted.

Write-through cache: Data is written to the caches and the memory every time a store is executed.

1.2. (15%) Name the 3 Cs in cache misses and provide a brief explanation for each C.

Compulsory miss: A cache miss caused by the first access, a cold start effect.

Capacity miss: A cache miss due to the capacity limitation. Even with full associativity, it cannot accommodate all the working sets of an application.

Conflict miss: A cache miss that... Continue reading "Understanding Cache Memory and CPU Hazards" »

Dimensions of Software Design

Software design involves several key dimensions:

• Problem solving
• Modeling
• Specification
• Organizing the solution
• Communication
• Economics and reuse
• Maintenance and evolution

Design Approaches

Divide-and-Conquer

A problem is decomposed into subproblems that are worked on independently. This approach can be applied recursively for complex problems and allows managers to allocate work to multiple people.

Procedural Design

Design is viewed as a set of procedures that are composed:

• Sequentially
• Conditionally
• Iteratively
• Hierarchically

Borderline Procedural Design

In this approach, the main steps are not fixed. The user has choices with few constraints, and there is typically a main loop to find the next operation.

Event-Driven Design

This... Continue reading "Software Design Principles and UML Diagrams Explained" »

Functional vs. Object-Oriented Programming

Object-Oriented Programming (OOP) models problems as objects containing data and methods that perform actions on that data. Functional Programming treats problems as a chain of functions evaluated to produce a result.

Code Output Analysis

• SQUARE [1, 4, 9]: []
• FIB FUNC: 0: 1, 1: 8, 2: 19, 3: 46
• HELLO F: The first prints “Hello world”. The second raises an error because say_hello() is bound to an object but is called without an instance.

Python Methods Explained

A class method takes the class as the first argument. A static method takes no class or instance reference. An instance method takes an instance as an argument.

Intersection of N Lists

To find the intersection of multiple lists, use reduce with set.

Transport Layer Responsibilities

Tracking Individual Conversations

At the transport layer, each set of data flowing between a source application and a destination application is known as a conversation (Figure 1). A host may have multiple applications that are communicating across the network simultaneously. Each of these applications communicates with one or more applications on one or more remote hosts. It is the responsibility of the transport layer to maintain and track these multiple conversations.

Segmenting Data and Reassembling Segments

Data must be prepared to be sent across the media in manageable pieces. Most networks have a limitation on the amount of data that can be included in a single packet. Transport layer protocols have services... Continue reading "Responsibilities of the Transport Layer" »

A

• ATTACHMENT: A file that is sent with an email.
• BANDWIDTH: A measurement of the amount of information that a computer network can send or receive. High bandwidth allows images and websites to load quickly on the Internet.
• BANNER: A rectangular graphic on a website that advertises a business.
• CASE: An enclosure that holds the computer's components.
• CODE: A set of words and symbols that give instructions to a computer.
• CONTENT: The material on a web page, including text and graphics.
• CROP: To cut off unwanted parts of an image.
• DATABASE: A large group of data organized in a computer system. It allows you to search and find information easily.
• DESKTOP: Everything that a user sees on a computer screen.
• DESKTOP COMPUTER: A computer that is small enough to

KDD-- CRISP-DM = business understanding, data understanding, data prep, modeling, evaluation, deployment-- KDD- selection, preprocessing, transformation, mining, interp/eval-- classification = most frequently used, machine learning (supervised), output is nominal or ordinal categorical in nature -- assessment methods = predictive accuracy, speed, robustnest, scalability, interpretability-- confusion matrix formulae = accuracy = (TP + TN)/(TP+TN+FP+FN); true positive rate = (TP)/(TP+FN); true negative = TN/(TN+FP); precision = (TP)/(TP+FP); recall = (TP)/(TP+FN) -- overfitting = excessively complex model, can give bad predictions, underfitting- too flexible, also gives bad predictions-- k-fold cross validation- split data into k mutually exclusive... Continue reading "Data Mining and Machine Learning Techniques: A Comprehensive Overview" »

Web Requests: GET vs. POST

GET: The request displays the password in the browser URL.

POST: Does not remain in history and does not display the password or on the web server log, not displayed in URL.

Controlling Access to Resources

Lock: Use the database.

• Implement file lock.

Optimistic Concurrency Control

When using locks, there is a possibility of deadlocks.

Solution:

Use timeout: When starting the processing of a request, set a maximum execution timeout. When the timeout expires, the system suspects that a possible problem (such as a deadlock) has occurred.

When the timeout expires, which request should be aborted?

We may end up canceling a request that is almost complete.

Deadlock Prevention

To prevent deadlock, the system can set all the locks the... Continue reading "Web Requests, Concurrency Control & Distributed Systems" »