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Ananta Infotech
  • Home
  • C Syllabus
  • C++ Syllabus
  • JAVA Syllabus
  • RUST Syllabus
  • GO Syllabus
  • SITECORE syllabus
  • Python Syllabus
  • Game Development
  • SAP BASIS SYLLABUS

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RUST curriculum

 

This syllabus outlines the core concepts you'll learn in a beginner's Rust programming course. Rust is a powerful systems programming language known for its memory safety, speed, and concurrency features.

I. Introduction to Programming (Optional):

  • Briefly revisit the core programming concepts (if applicable, assuming some prior programming knowledge).

II. Introduction to Rust:

  • History and evolution of Rust
  • Key features of Rust (memory safety, ownership, borrowing, generics)
  • Why choose Rust? Applications of Rust (systems programming, embedded systems, web development)

III. Setting Up Your Development Environment:

  • Download and install Rust compiler (rustc) and package manager (cargo)
  • Setting up an Integrated Development Environment (IDE) with Rust support (optional)

IV. Basic Rust Syntax:

  • Program structure (main function, modules)
  • Variables and Data Types (int, float, char, bool, etc.)
  • Operators (Arithmetic, Relational, Logical, Assignment)

V. Ownership and Borrowing:

  • Understanding ownership model (memory management in Rust)
  • Taking ownership (moving) vs. borrowing data with references (&)
  • Mutable vs. immutable borrows
  • Lifetime annotations (ensuring references are valid)

VI. Control Flow Statements:

  • Conditional statements (if, else if, else)
  • Looping statements (for, while, loop)
  • Pattern matching (powerful conditional branching in Rust)
  • Nested statements

VII. Functions:

  • Defining and calling functions
  • Function arguments and return values
  • Ownership and borrowing rules within functions

VIII. Structs:

  • Defining structs (user-defined data types)
  • Accessing members of a struct (dot operator)
  • Creating instances of structs
  • Ownership and borrowing with structs

IX. Enums:

  • Defining enums (algebraic data types with variants)
  • Matching on enum variants with pattern matching
  • Using enums for different data types and behaviors

X. Methods:

  • Defining methods associated with structs and enums
  • Implementing functionality specific to the data type
  • Ownership and borrowing considerations within methods

XI. Collections:

  • Common data structures (arrays, vectors, strings, slices, hash maps)
  • Ownership and borrowing considerations for collections
  • Methods available on different collections (e.g., sorting, searching)

XII. Error Handling:

  • Using the Result enum for handling errors
  • Panic vs. propagate (different approaches to error handling)

XIII.  Modules and Crates:

  • Organizing code with modules
  • Building reusable libraries (crates) with cargo
  • Package management in Rust (dependencies)

XIV. Introduction to Traits:

  • Defining traits (abstractions for behavior)
  • Implementing traits for different types

XV.  (Optional) Introduction to Concurrency:

  • Understanding concurrency concepts (threads, channels)
  • Mutexes and ownership for safe concurrent access (optional)

XVI. Resources and Evaluation:

  • Recommended textbooks, online tutorials, and practice exercises
  • Projects and assignments to test your understanding of Rust's core concepts
  • Midterm and final exams (if applicable)

Learning Outcomes:

By the end of this course, you should be able to:

  • Write basic Rust programs using variables, operators, and control flow statements.
  • Understand and apply Rust's ownership and borrowing concepts for memory safety.
  • Work with common data structures (including structs, enums, and collections) and handle errors effectively.
  • Define methods to add functionality to structs and enums.
  • Organize code with modules and create reusable crates.
  • Define and implement traits to write generic code.
  • (Optional)  Gain a basic understanding of concurrency concepts in Rust.

Remember:

  • This is a general syllabus, and the specific topics covered might vary depending on the course structure and instructor.
  • Consistent practice, problem-solving, and utilizing resources are key to mastering Rust.
  • Embrace the unique ownership model and challenges of Rust, and enjoy the benefits of memory safety and performance!


SAP Basis Curriculum

Master SAP Basis in 70 : Learn fundamental concepts , Core Competence , Kernel , Configurations, Security, Memory Management , Oracle Database, HANA Database.

I. SAP Basis Technology:

  • What is   SAP   
  • SAP Basis  walkthrough   
  • Basis System   & Environment   
  • Client /   Server Principles   
  • R/3 System   Client / Server Configuration    

II. System Kernel:

  • Processing   User Requests  
  • R/3   Presentation Interface   
  • R/3   Application Interface   
  • R/3 Database   Interface   
  • Multiplexing   
  • Dialog Work   Process   
  • Background   Work Process    

III. Technical Core Competence:

  • R/3   System Logon Steps
  • Instance &   Application Server
  • Starting /   Stopping SAP
  • Process   Overview at OS Level   
  • Assigning /   Tunning parameters   
  • Application /   Database logs & trace    

IV. CCMS Configuration:

  • Setting   Up CCMS   
  • Profile   Maintenance   
  • R/3 Profiles   
  • Operation   Modes   
  • Grouping    

V. Process:

  • Dialog   Work Process   
  • Background   Work Process   
  • Job Management   
  • Lock Mechanism   
  • Enqueue   Mechanism   
  • Spool   Management    

VI. Client Administration:

  • Client   Management   
  • Client Copy   
  • Client   Deletion    

VII. Transport Management:

  • Overview   of TMS   
  • Initializing   Domain Controller   
  • STMS   Configuration   
  • Configuration   Transport Routes   
  • Troubleshooting    

VIII. Hardware Sizing:

  • SAPS   
  • Installation   of SAP   
  • Resources   management    

IX. Major Activities:

  • Kernel   Upgrade   
  • Add-On Update   
  • Pre & Post   Preparation for any activities   
  • System Refresh   
  • Daily   Monitoring    

X. Security:

  • User   Management   
  • Security   Parameters   
  • Security Audit    

XI. Memory Management:

  • Introduction   to Workload Analysis   
  • R/3 Memory   management   
  • Tuning Tasks   
  • Performance   Analysis Monitor   
  • Allocation   Sequence    

XII. Backup and Recovery:

  • Backup   Strategy   
  • Restore &   Recovery concept    

XIII. Oracle Database:

  • Overview of Oracle
  • Architecture   of Oracle   
  • Oracle   Filesystem & data structure   
  • SGA / PGA   
  • Tablespace   Extension   
  • Table Re-org /   Index Rebuild / Stats Update    

XIV. Hana Database:

  • Overview   of Hana   
  • Hana Services   
  • Performance   management   
  • Backup &   recovery   
  • Hana   Performance Tunning    

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