BCA
BCA
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BCA-NEP-Examination-Scheme 1/1
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Semester-1 8/8
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Lecture 2.1B23-CAP-101 Problem Solving through CPreview
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Lecture 2.2B23-CAP-102 Foundations of Computer SciencePreview
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Lecture 2.3B23-CAP-103 Logical Organization of ComputerPreview
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Lecture 2.4B23-CAP-104 Mathematical Foundations for Computer Science-IPreview
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Lecture 2.5B23-BBA-MDC-102 Social Media MarketingPreview
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Lecture 2.6B23-AEC-111 English Language and Communication Skills: Level 1Preview
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Lecture 2.7B23-SEC-101 Office and spreadsheet Tools LearningPreview
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Lecture 2.8B- VAC 101 Human Values and EthicsPreview
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Semester-2 8/8
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Lecture 3.1B23-CAP-201 Object Oriented Programming using C++Preview
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Lecture 3.2B23-CAP-202 Introduction to Web TechnologiesPreview
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Lecture 3.3B23-CAP-203 Concepts of Operating SystemsPreview
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Lecture 3.4B23-CAP-204 Mathematical Foundations for Computer Science-IIPreview
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Lecture 3.5B23-BBA-MDC-204 Entrepreneurship & Start-upsPreview
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Lecture 3.6B23-SEC-207 Soft SkillsPreview
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Lecture 3.7B23-VAC-201 Environmental StudiesPreview
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Lecture 3.8B23-AEC-211 English Language and Communication Skills: Level 2Preview
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Semester-3 7/7
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Lecture 4.1B23-CAP-301 Java OOP FoundationsPreview
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Lecture 4.2B23-CAP-302 Linux and Shell ProgrammingPreview
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Lecture 4.3B23-CAP-303 Data Base TechnologiesPreview
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Lecture 4.4B23-CAP-304 Basics of Data Science using ExcelPreview
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Lecture 4.5B23-SEC-310 Communication in Professional LifePreview
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Lecture 4.6B23-AEC-311 English Language and Communication Skills: Level 3Preview
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Lecture 4.7B23-BBA-MDC-302 Fundamentals of InvestingPreview
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Semester-4 4/4
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Semester-5 3/3
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Semester-6 6/6
BCA-NEP Semester-6 syllabus uploaded soon. This is the old syllabus of BCA.
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Lecture 7.1BCA-361: Web Designing Using Advanced ToolsPreview
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Lecture 7.2BCA-362: Operating System-IIPreview
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Lecture 7.3BCA-363: Computer GraphicsPreview
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Lecture 7.4BCA-364: Internet TechnologiesPreview
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Lecture 7.5BCA-365: Advanced Programming with Visual BasicPreview
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Lecture 7.6BCA-366: Programming in Core JavaPreview
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BCA-353: Artificial Intelligence
Maximum Marks: 100 External: 80
Minimum Pass Marks: 35 Internal: 20
Time: 3 hours
Note: Examiner will be required to set Nine Questions in all. First Question will be compulsory, consisting of objective type/short-answer type questions covering the entire syllabus. In addition to that eight more questions will be set, two questions from each Unit. Student will be required to attempt FIVE questions in all. Question Number 1 will be compulsory. In addition to compulsory question, student will have to attempt four more questions selecting one question from each Unit. All questions will carry equal marks.
UNIT – I
Artificial Intelligence : Intelligence, AI Concepts, Various definitions of AI, Knowledge, Knowledge Pyramid, People and Computers: What computers can do better that people, what people can do better than computers; Characteristics of AI Problems, Problem Representation in AI, Components of AI, AI Evolution, Application Areas of AI, History of AI, The Turing Test, The Revised Turing Test
UNIT – II
Expert System: Components of Expert System: Knowledge Base, Inference Engine, User Interface, Features of Expert System, Expert System Life Cycle, Categories of Expert System, Rule Based vs. Model Based Expert Systems, Advantages/Limitations of Expert System, Developing an Expert System: Identification, Conceptualization, Formalization, Implementation, Testing, Using an Expert System, Application Areas of Expert System
UNIT-III
AI and Search Process: Brute Force Search – Depth First/Breadth First Search, Heuristic Search: Hill Climbing, Constraint Satisfaction, Mean End Analysis, Best First Search, A* Algorithm, AO* Algorithm, Beam Search.
UNIT – IV
Natural Language Processing: Introduction, Need, Goal, Fundamental Problems in Natural Language Understanding, How People overcome Natural Language Problems, Speech Recognition: Introduction, Advantages and Approaches, Introduction to Robotics: Parts of a Robot, Controlling a Robot, Intelligent Robots, Mobile Robots
TEXT BOOKS:
- Henry Mishkoff, “Understanding Artifical Intelligence”
- V S Janakiraman, “Foundation of Artificial Intelligence and Expert Systems”
REFERENCE BOOKS:
- Dan Patterson, “Introduction to Artificial Intelligence and Expert Systems”
