The Context of Software Development: Learning Programming with Python,  Values and Variables: Integer and String Values, Identifiers, User Input, String Formatting, Expressions and Arithmetic: Expressions, Arithmetic Operators, Modulus and Floor Division, Assignment Operators, Built-in Math Functions, the math Module, the random Module, Seeding, Arithmetic Examples, Conditional Statements: Boolean expressions, If/Else statement, Other Conditional Expressions, Iteration: Loops, Using Functions: Introduction to Using Functions, Defining Functions, Functions and Modules, Function Basics, Parameter Passing, Custom Functions vs Standart Functions, Refactoring, Variable Scope- Global Variables, Making Functions Reusable,Functions as Data, Returning Values, Importing Modules, Objects: Using Objects, String, File Objects Function Parameters, Lists: Using Lists, Building Lists, List Traversal, Tuples, Dictionaries, and Sets: Storing Aggregate Data, Enumerating the Elements of a Data Structure, Class Design: Composition and Inheritance, Exception Handling: Wildcard except Clauses, Getting Information on Exceptions, The else Clause, The finally Clause, Using Exceptions for Flow Control, Exception Hierarchy, File Processing: operations on Files, The os and os.path Modules.


Overview of software reuse; Introduction to Software Reuse, Approaches to Architecture Reuse, Examples of Software Component Reuse, Software Design Concepts for Reuse, Information Hiding, Modularity. Technical issues in large-scale software reuse. Topics include architecture, design for reuse, model-driven development, components, frameworks, software agents, library design, reuse tools, patterns. opportunistic and systemic reuse; Reuse process and artifacts; Reuse model and domain engineering; structural modeling and reusable components; Analysis and construction methods; Classification and integration; quality of the component; COTS issues and selection; Commercial components; Scale of software reuse; Storing and retrieving components; Component and connector types; Integration issues and solutions.

The topics related to the software development models that are used to support component-based software systems. Introduction to Component Model Common Software Engineering Architecture Patterns, Server-side software design; an overview of an MVC-based Web development framework (struts2.0), Enterprise JavaBeans (EJB 3.1), Java Persistence API (JPA 2.0)/Hibernate, Web services (SOAP, RESTful), and a basic introduction of Spring framework.


THIS COURSE COVERS ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ALGORITHMS AND IMPLEMENTS MACHINE LEARNING SYSTEMS EMBEDDED WITH AI APPLICATIONS

The topics related to the software development models that are used to support component-based software systems. Introduction to Component Model Common Software Engineering Architecture Patterns, Server-side software design; an overview of an MVC-based Web development framework (struts2.0), Enterprise JavaBeans (EJB 3.1), Java Persistence API (JPA 2.0)/Hibernate, Web services (SOAP, RESTful), and a basic introduction of Spring framework.