Basics of Artificial Intelligence and Machine Learning detailed syllabus for Diploma in Artificial Intelligence and Machine Learning (AIM) for C20 regulation curriculum has been taken from the APSBTET official website and presented for the AIM students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.
For Diploma in Artificial Intelligence and Machine Learning 1st Year scheme and its subjects, do visit AIM 1st Year C20 regulation scheme. The detailed syllabus of basics of artificial intelligence and machine learning is as follows.
Course Objectives
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Course Outcomes:
- Explain computer fundamentals
- Explain various flowchart, algorithm methods
- Apply the features of Basic Computer operating systems
- Analyse functioning of various Hardware components
- Explain Networking process in computers
1.0 Fundamentals of Digital Computer
Block diagram of a digital computer, functional parameters of CPU, Clock speed and word length, Functional blocks of a CPU: ALU and Control unit, types of memory RAM, ROM, purpose of cache memory
2.0 Programming Methodology.
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3.0 Understand Operating Systems
Need for an operating system – List the various operating systems – Types of commands, Internal & External Commands Features of Windows desktop – Components of a Window -Function of each component of a Window – Method of starting a program using start button -Maximize, minimize, restore down and close buttons- Meaning of a file and folder -Viewing the contents of hard disk drive using explorer -Finding a file – Formatting a floppy disk using explore option – Installing and uninstalling new software using control panel – installing and un
installing a new hardware using control panel – Drive space – disk defragmentation – Installing a printer – Changing resolution, colour, appearance and screensaver options of the display – Changing the system date and time
4.0 Computer Hardware and Networking Basics
Hardware Basics- I/P, O/P – inside computer case- system board components – 3 types of Software -BIOS- boot process – POST – different connectors. Networking Basics – computer network – Local Area Network – Wide Area Network – Compare Internet and Intranet – internet service provider – role of a modem – address format and IP address – browser – search engines with examples -Describe Internet Security.
5.0 Basics of Data Structures and Emerging Trends in Computer Technology
Overview of Data Structures-Definition-Classification-Basic concepts of Stacks,Queues,Lists,Trees and Graph
Introduction to AI – Definition – History of AI – Types of AI -Features of AI – intelligent systemsfoundations of AI – Tic-tac-toe game playing – History of AI languages – Current Trends in AI-searching algorithms- Applications – Terminology of AI
Introduction to Machine Learning – Compare Traditional Programming with Machine Learningapplications -know the key elements- Define the terms – learning, Association rule learning, Artificial neural networks, DeepLearning, InductiveLearning, Geneticalgorithms, Clustering- Explain Inductive Learning- Classify the Machine Learning -List the applications
Introduction to Big data – Big data-Evolution -characteristics – the three V„s -Storing -Selecting -Need of Big Data -sources of big data -types of tools used – applications
Reference Books:
For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
For detailed syllabus of all other subjects of Diploma in Artificial Intelligence and Machine Learning, C20 regulation curriculum do visit AIM 1st Year subject syllabuses for C20 regulation.
For all Diploma in Artificial Intelligence and Machine Learning exam timetable, visit APSBTET AIM all semester exam timetable direct link.