Data Structures and Algorithms - Syllabus

Overview of .NET and ASP.NET frameworks including .NET, .NET Core, Mono, ASP.NET Web Forms, ASP.NET MVC, ASP.NET Web API, and ASP.NET Core.

Fundamentals of .NET architecture and design principles that guide the development of .NET applications.

How .NET applications are compiled and executed, including the roles of CLI, MSIL, and CLR.

This topic covers the fundamental concepts of the relational model, including domains, attributes, tuples, and relations, as well as the characteristics of relations.

This topic explores the different types of constraints in the relational model, including domain constraints, key constraints, and constraints on null values.

This topic discusses the concept of relational database schemas, including relational database state, entity integrity, referential integrity, and foreign keys.

This topic covers update operations, transactions, and how to deal with constraint violations, including insert, delete, and update operations, as well as restrict, cascade, set null, and set default.

This topic introduces basic relational algebra operations, including unary operations (select, project, rename) and binary operations (set theory, Cartesian product, join, and outer join).

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.

Learn how to design relational databases using ER-to-relational mapping, including mapping of regular entities, weak entities, relationship types, multivalued attributes, and N-ary relationships.

Understand informal design guidelines for relational schemas, including semantics of attributes in relations, redundant information in tuples and update anomalies, NULL values in tuples, and generation of spurious tuples.

Study functional dependencies, including definition, inference rules, Armstrong's axioms, attribute closure, equivalence of functional dependencies, and minimal sets of functional dependencies.

Explore normal forms based on primary keys, including First Normal Form, Second Normal Form, Third Normal Form, and their general definitions.

Learn about Boyce-Codd Normal Form, a higher normal form that ensures a relational schema is in a good structure.

Understand multivalued dependency and Fourth Normal Form, which eliminates multivalued dependencies in a relational schema.

This topic introduces the concept of transaction processing, highlighting the differences between single user and multi-user systems, read/write operations, and the need for concurrency control to avoid problems such as lost update, temporary update, incorrect summary, and unrepeatable read.

This topic covers the fundamental concepts of transactions, including transaction states, system log, and commit point of transaction.

This topic discusses the desirable properties of transactions, namely atomicity, consistency, isolation, and durability (ACID).

This topic explores schedules, conflicting operations, and characterizing schedules based on recoverability and serializability, including serial, non-serial, and conflict serializable schedules.

This topic introduces concurrency control techniques, including two-phase locking and timestamp ordering.

This topic delves into two-phase locking, including types of locks, basic, conservative, strict, and rigorous two-phase locking, deadlock and starvation, deadlock prevention, and deadlock detection.

This topic covers timestamp ordering, including timestamp, read timestamp, write timestamp, basic timestamp ordering, and strict timestamp ordering.

Understanding the Huffman algorithm and its application in data compression.

Exploring game trees and their application in game development and decision-making.

Introduction to B-trees, a self-balancing search tree data structure.

Overview of software project management, including activities and best practices to ensure successful project delivery.

Detailed planning of software projects, including software pricing, plan-driven development, project scheduling, estimation techniques, and COCOMO cost modeling.

Identifying, assessing, and mitigating risks in software projects to minimize potential threats and ensure successful project delivery.

Effective management of project team members, including communication, collaboration, and conflict resolution.

Creating effective reports and proposals to stakeholders, including project status updates, progress reports, and bid proposals.

Fundamentals of quality management in software development, including quality assurance, quality control, and quality metrics.

Managing changes to software configurations, including version control, change control, and release management.

Introduction to boundary value problems, including their definition and importance in ODEs.

Numerical method for solving boundary value problems, including its algorithm and applications.

Testing techniques and methods used to validate software from the user's perspective.

A software development approach that involves creating a working model of a software product. Understanding the principles and benefits of software prototyping.

A software development process framework that provides a structured approach to software development. Understanding the principles and benefits of RUP.

A software development approach that uses automated tools and techniques to support software development. Understanding the principles and benefits of CASE.

A non-comparative sorting algorithm that sorts data based on the digits of the elements, starting from the most significant digit.

This topic covers the challenges faced by e-government in terms of security and the approaches to address them. It explores the importance of security in e-government and the ways to mitigate risks.

This topic introduces a security management model for e-government, outlining the key components and processes involved in ensuring the security of e-government systems.

This topic delves into the architecture of e-government security, including the design and implementation of secure systems and infrastructure for e-government services.

This topic covers the security standards and guidelines for e-government, including international standards and best practices for ensuring the security of e-government systems and data.

Security measures for protecting data during transactions in e-commerce.

Various security mechanisms used in e-commerce including cryptography, hash functions, digital signatures, authentication, access controls, intrusion detection systems, and secured socket layer (SSL).

Exploring the javax.servlet.http package, including key classes and interfaces. Understanding how to use the package to develop HTTP-based servlets.

Understanding how to handle HTTP requests and responses using servlets, including request and response objects.

Introduction to algorithms, their importance, and properties.

Concepts of analysis of algorithms, including asymptotic notations (Big Oh) and their properties.

Measuring the time complexity of algorithms, including the concept of Big Oh notation.

Measuring the space complexity of algorithms, including the concept of memory usage.

Introduction to optimization problems and the concept of optimal solutions, with an overview of greedy algorithms and their elements.

Exploration of various applications of greedy algorithms, including fractional knapsack, job sequencing with deadlines, Kruskal's algorithm, Prim's algorithm, and Dijkstra's algorithm.

Introduction to Huffman coding, including its purpose, prefix codes, and the Huffman coding algorithm, along with its analysis.

Social network analysis is the process of examining social structures, relationships, and interactions within a network. It involves using graph theory and statistical methods to understand social behavior and patterns.

Link mining is a subfield of graph mining that focuses on the analysis of links between nodes in a graph. It involves discovering patterns and relationships between entities in a network.

Friends of friends is a concept in social network analysis that refers to the friends of an individual's friends. It is used to study social relationships and network structures.

Degree assortativity is a measure of the tendency of nodes in a network to be connected to other nodes with similar degrees. It is used to study network structures and patterns.

Signed networks are graphs that contain both positive and negative edges, representing friendships and antagonisms between nodes. It involves using theories such as structured balance and status to analyze signed networks.

Trust in a network refers to the level of confidence or reliability between nodes. It involves using algorithms such as atomic propagation and iterative propagation to predict trust and distrust in a network.

This topic involves using machine learning and graph mining techniques to predict the formation of positive and negative links in a network, such as friendships and antagonisms.

Dijkstra's algorithm for finding shortest paths in a graph.