The syllabus consists of five units: (i) Introduction to Computer System, (ii) Introduction to Python, (iii) Data Handling using NumPy, (iv) Database concepts and the SQL, and (v) Introduction to the Emerging Trends.
|1||Introduction to Computer System||5|
|2||Introduction to Python||25|
|3||Data Handling using NumPy||15|
|4||Database concepts and the SQL||20|
|5||Introduction to Emerging Trends||5|
Introduction to computer and computing: evolution of computing devices, components of a Computer System and their interconnections, Input/Output devices.
Computer Memory: Units of memory, types of memory - primary and secondary, data deletion, its recovery and related security concerns.
Software: purpose and types - system and application software, generic and specific purpose software.
Basics of Python programming, Python interpreter - interactive and script mode, the structure of a program, indentation, identifiers, keywords, constants, variables, types of operators, precedence of operators, data types, mutable and immutable data types, statements, expressions, evaluation and comments, input and output statements, data type conversion, debugging.
Control Statements: if-else, for loop
Lists: list operations - creating, initializing, traversing and manipulating lists, list methods and built-in functions.
Dictionary: concept of key-value pair, creating, initializing, traversing, updating and deleting elements, dictionary methods and built-in functions.
Data and its purpose, importance of data, structured and unstructured data, data processing cycle, basic statistical methods for understanding data - mean, median, mode, standard deviation and variance.
Introduction to NumPy library, NumPy arrays and their advantage, creation of NumPy arrays; indexing, slicing, and iteration; concatenating and splitting array; Arithmetic operations on one Dimensional and two Dimensional arrays.
Calculating max, min, count, sum, mean, median, mode, standard deviation, variance on NumPy arrays.
Database Concepts: Introduction to database concepts and its need, Database Management System.
Relational data model: Concept of domain, tuple, relation, candidate key, primary key, alternate key, foreign key.
Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, Data Types
Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE.
Data Query: SELECT, FROM, WHERE.
Data Manipulation: INSERT, UPDATE, DELETE.
Artificial Intelligence, Machine Learning, Natural Language Processing, Immersive experience (AR, VR), Robotics, Big data and its characteristics, Internet of Things (IoT), Sensors, Smart cities, Cloud Computing and Cloud Services (SaaS, IaaS, PaaS); Grid Computing, Block chain technology.