AIDS 3rd Semester Syllabus

Unit 1Technical Communication Skills

Understanding the process and scope of communication · Relevance and importance of communication in a globalized world · Forms of communication · Role of unity, brevity and clarity in various forms of communication

Unit 2Types of Communication and Soft Skills

Verbal and non‑verbal communication · Classification of non‑verbal communication (NVC) · Barriers to communication · Communicating globally · Culture and communication · Interpersonal communication · Listening · Persuasion · Negotiation · Communicating bad news and messages · Communicating in a global world

Unit 3Writing Skills and Speaking Skills

Traits of technical writing · Principles of business writing · Style of writing · Writing memos, letters, reports · Types, characteristics, format and structure of technical reports · Writing research papers · Audience awareness in speaking · Voice, vocabulary and paralanguage · Group discussion techniques · Combating nervousness · Speaking to one and to one thousand listeners · Mock presentations

Unit 4Job Interviews, Group Discussion and Professional Presentations

Preparing for interviews · Self‑assessment · Drafting effective resumes · Dress, decorum and delivery techniques · Techniques for handling interviews · Use of non‑verbals during interviews · Handling turbulence during interviews · Objectives of group discussion · Method, focus, content, style and argumentation skills in group discussion · Individual professional presentations: audience awareness, body language, delivery and content

Unit 5Grammar and Linguistic Ability

Basics of grammar · Common errors in writing and speaking · Advanced grammar study · Vocabulary development · Pronunciation etiquette · Syllables, vowel and consonant sounds · Tone modulation: rising tone and falling tone · Flow in speaking · Speaking with purpose · Speech and personality · Professional personality attributes

Unit 1Data Science and Statistics Fundamentals

Data Science: Introduction and Data Science Life Cycle · Statistics: Descriptive and Inferential Statistics · Measures of central tendency: Arithmetic Mean, Median, Mode, Geometric Mean, Harmonic Mean, Partition values · Measures of dispersion: Range, Quartile Deviation, Mean deviation, Standard Deviation, Variance, Coefficient of Dispersion

Unit 2Probability Theory and Distribution Shape Measures

Skewness, Kurtosis, Moments; measures of skewness and kurtosis · Theory of probability: definition of probability, events, sample space, laws of addition and multiplication, conditional probability · Independent and dependent events, Bayes’ theorem, mathematical expectations, moment generating functions

Unit 3Theoretical Distributions and Curve Fitting

Discrete distributions: Binomial distribution and Poisson distribution · Continuous distributions: Rectangular (uniform) distribution and Normal distribution · Curve fitting: Methods of least squares, fitting a straight line and a parabola

Unit 4Correlation and Regression Analysis

Correlation: Pearson correlation coefficient, rank correlation, lines of regression · Multiple and partial correlation

Unit 5Hypothesis Testing and Significance Tests

Testing of hypothesis: null and alternative hypotheses, Type I and Type II errors, level of significance, power of the test · Tests of significance: chi‑square distribution, tests of variance and goodness‑of‑fit, t‑distribution, F‑distribution, Z‑distribution and related tests

Unit 1Introduction to Data Structures

Concepts of Data and Information · Classification of Data Structures · Abstract Data Types (ADTs) · Memory representation of data structures · Cost estimation of data structure operations · Linear data structures – Arrays · Linked List – representation in memory · Singly linked list · Circular linked list · Doubly linked list · Applications of linked list (e.g., polynomial manipulation)

Unit 2Stacks and Queues

Stack as an ADT · Implementation techniques for stacks · Multiple stacks · Applications of stack – infix to postfix conversion, postfix evaluation, recursion · Queue as an ADT · Implementation techniques for queues · Circular queue · Deque and Priority Queue · Queue simulation · Applications of queues

Unit 3Tree Data Structures

Tree definitions – height, depth, order, degree · Binary Search Tree – operations, traversal, search · AVL Tree · Heap · Forest · Multi‑way tree · B‑tree · B$^+$‑tree · B$^*$‑tree · Red‑Black tree · Comparison of various tree types

Unit 4Graphs

Graph definitions and classification – directed and undirected graphs · Graph representation · Graph traversal – Depth‑First Search (DFS), Breadth‑First Search (BFS) · Minimum Spanning Tree algorithms – Kruskal, Prim · Shortest‑path algorithm – Dijkstra · Comparison of graph algorithms · Applications of graphs

Unit 5Sorting, Searching and Hashing

Sorting techniques – Bubble sort, Quick sort, Selection sort, Heap sort, Insertion sort, Shell sort, Merge sort, Radix sort · Comparison of sorting algorithms · Searching techniques – Sequential search, Binary search · Comparison of search methods · Hashing and indexing · Case studies – applications in operating systems, DBMS

Unit 1Fundamentals of Artificial Intelligence

History, motivation and need of AI · Production systems and their characteristics · Search space and search techniques: hill climbing, best‑first search, heuristic search, A* and AO*

Unit 2Knowledge Representation

Problems in representing knowledge · Knowledge representation using propositional logic · Knowledge representation using predicate logic · Comparison of propositional and predicate logic · Resolution, refutation and deduction · Theorem proving and inferencing · Monotonic and non‑monotonic reasoning

Unit 3Probabilistic Reasoning and Semantic Networks

Bayes' theorem and probabilistic reasoning · Semantic networks, scripts, schemas and frames · Conceptual dependency · Forward and backward reasoning

Unit 4Game Playing, Planning and Natural Language Processing

Game playing techniques: minimax procedure and alpha‑beta cut‑offs · Planning and the block‑world problem in robotics · Introduction to Natural Language Processing (NLP) · Components of NLP and its application to expert systems

Unit 5Expert Systems

Characteristics, requirements and components of expert systems · Inference engine: forward and backward chaining · Limitations of expert systems · Expert system development environment, technology and benefits

Unit 1Introduction to Object Oriented Thinking & Programming

Comparison with Procedural Programming · Features of Object Oriented paradigm – merits and demerits · Object model · Elements of OOPS · IO processing · Data Type · Type Conversion · Control Statement · Loops · Arrays

Unit 2Encapsulation and Data Abstraction

Concept of Objects: state, behavior & identity · Class identification and candidate classes · Attributes and services · Access modifiers · Static members of a class · Instances · Message passing · Construction and destruction of objects

Unit 3Relationships – Inheritance and Interfaces

Inheritance: purpose and types · "is a" relationship · Association · Aggregation · Concept of interfaces · Abstract classes

Unit 4Polymorphism

Introduction to polymorphism · Method overriding · Method overloading · Static (compile‑time) polymorphism · Run‑time polymorphism · Virtual function · Friend function · Static function · Friend class

Unit 5Advanced Topics

Strings · Exception handling · Introduction to multi‑threading · Data collections · Case studies: ATM system, Library management system

Unit 1Module 1

Introduction to python language · Basic syntax · Literal Constants · Numbers · Variable and Basic data types · String · Escape Sequences · Operators and Expressions · Evaluation Order · Indentation · Input · Output · Functions · Comments

Unit 2Module 2

List · Tuples · Dictionary · DataFrame · Sets · constructing · indexing · slicing and content manipulation

Unit 3Module 3

Conditional Statements - If · If-else · Nested If-else · Iterative Statement - For · While · Nested Loops · Control statements - Break · Continue · Pass

Unit 4Module 4

Class and Object · Attributes · Methods · Scopes and Namespaces · Inheritance · Overloading · Overriding · Data hiding · Exception Handling · Except clause · Try finally clause · User Defined Exceptions

Unit 5Module 5

Standard Libraries: File I/0 · Sys · logging · Regular expression · Date and Time · Network programming · multi-processing and multithreading