Diploma in Modern Computer Application

Eligibility: School Course (Class XI+Class XII)

SEMESTER – I

• Computer System and Organisation-

            Basic Computer Organisation • Classification of Computers • Concepts of Software • Number System • Boolean Algebra.

• Programming Fundamentals-

           Concept of Programming • Algorithm fundamentals • Introduction to Problem Solving.

• Data Visualization using Spreadsheet-

           Introduction to Spreadsheets • Working with Data and Tables • Performing Calculations on Data • Changing Workbook Appearance • Data Analysis and Manipulation • Advanced Spreadsheet Features •
           Reporting and  Presentation of Results • Collaboration and Sharing.



SEMESTER – II

• Data Structure-

          Definition, types of data structure-linear and non-linear. • Arrays: 1D, 2D and their applications. • Linked List: • Stack • Queue • Recursion • Searching and Sorting.

• Computer Networks-

            Introduction to Networking >Transmission Media >Network Connecting Devices >Network Type and Topologies>Network Protocols - >Referential Model- >Introduction to Web Services: >HTML

• Ethics-

           Digital Footprints. • Data Protection • Cyber Crime: • Cyber safety:. • Malware: • E-waste management: • Information Technology Act:



Class XII   SEMESTER – III
 

• Python Programming-

           Familiarization with the basics of Python programming • Knowledge of data types • Operators • Expressions, statement, type conversion, and input/output • Errors:. • Flow of Control • Conditional statements • Iterative               Statement Strings • Lists • Introduction to Python modules• Functions

• E-Commerce-

            An introduction to Electronic Commerce • Electronic Payment System • Internet Marketing.


SEMESTER – IV

• Database Management System-

            Introduction • Entity Relationship (ER) Modeling • Relational Model • Integrity Constraints • SQL

• Data Warehousing and Data Mining

            Introduction: . • Data Mining Applications and Trends:

• Foundation of Artificial Intelligence (AI)

            Introduction to Artificial Intelligence • AI Subfields and Technologies • Applications of AI • Ethical and Social Implications of AI