Conversational Systems detailed syllabus for Computer Science & Business Systems (CS&BS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the CS&BS 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 Computer Science & Business Systems 6th Sem scheme and its subjects, do visit CS&BS 6th Sem 2021 regulation scheme. For Professional Elective-VI scheme and its subjects refer to CS&BS Professional Elective-VI syllabus scheme. The detailed syllabus of conversational systems is as follows.
Course Objectives:
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Unit I
FUNDAMENTALS OF CONVERSATIONAL SYSTEMS
Introduction: Overview, Case studies, Explanation about different modes of engagement for a human being, History and impact of AI. Underlying technologies: Natural Language Processing, Artificial Intelligence and Machine Learning, NLG, Speech-To-Text, Text-To-Speech, Computer Vision etc. Introduction to Top players in Market – Google, MS, Amazon &Market trends. Messaging Platforms (Facebook, WhatsApp) and Smart speakers – Alexa, Google Home and other new channels. Ethical and Legal Considerations in AI Overview.
Unit II
FOUNDATIONAL BLOCKS FOR PROGRAMMING AND NATURAL LANGUAGE PROCESSING
Introduction: Brief history, Basic Concepts, Phases of NLP, Application of chat bots etc. General chatbot architecture, Basic concepts in chatbots: Intents, Entities, Utterances, Variables and Slots, Fulfillment. Lexical Knowledge Networks (WordNet, Verbnet, PropBank, etc). Lexical Analysis, Part-of-Speech Tagging, Parsing/Syntactic analysis, Semantic Analysis, Word Sense Disambiguation. Information Extraction, Sentiment Analysis.
Unit III
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Unit IV
ROLE OF ML/AI IN CONVERSATIONAL TECHNOLOGIES AND CONTACT CENTERS
Brief Understanding on how Conversational Systems uses ML technologies in ASR, NLP, Advanced Dialog management, Language Translation, Emotion/Sentiment Analysis, Information extraction ,etc. to effectively converse, Introduction to Contact centers – Impact & Terminologies.
Case studies & Trends, How does a Virtual Agent/Assistant fit in here?
Unit V
CONVERSATIONAL ANALYTICS AND FUTURE
Conversation Analytics : The need of it – Introduction to Conversational Metrics – Summary, Robots and Sensory Applications overview – XR Technologies in Conversational Systems , XR-Commerce – What to expect next? – Future technologies and market innovations overview.
Course Outcomes:
- Familiarize in the NLTK tool kit and the pre-processing techniques of natural language processing.
- Familiarize with the basic technologies required for building a conversational system.
- Build a Chabot for any application and deploy it
- Involve AI in building conversational system and build advanced systems that can be cognitively inclined towards human behaviour.
- Build a real time working conversational system for social domain that can intelligently process inputs and generate relevant replies.
Text Books:
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For detailed syllabus of all the other subjects of Computer Science & Business Systems 6th Sem, visit CS&BS 6th Sem subject syllabuses for 2021 regulation.
For all Computer Science & Business Systems results, visit Anna University CS&BS all semester results direct link.