Basic Engineering Lab
- Part A: Introduction to sketching- Introduction to Computer-Aided Drawing - Orthographic/ Isometric / sectional views- Development of surfaces.
- Part B: Electrical wiring practice, Soldering practice, Identification and testing of electronic components, Circuit simulation using LT SPICE, PCB Design, PCB Fabrication, Soldering of components on PCB and testing.
Communication Skills 1
Module 1- Functional English
Conversation Skills: Asking questions, requests, doubts, engage in conversation, Different types of Communication-verbal and non-verbal, body language.
Module 2: Teaching Grammar Grammar Games, Exercise.
Module 3: Teaching Vocabulary Language Games, Exercise.
Module 4: Presentation Skills.
Module 5: Role Plays, debates, extempore, group presentations.
Introduction to Social Science and Ethics
Social Science: introduction to sociology, anthropology – social science research design and sampling. Ethics: professional and personal ethics – values & norms and human rights.
Calculus
Sequences and Series:
Limit of a sequence, monotone and Cauchy sequences and properties of convergent sequences, examples. Infinite series, positive series, tests for convergence and divergence, integral test, alternating series, Leibnitz test.
Differential Calculus:
Continuity and differentiability of a function of a single variable, statement of Rolle’s Theorem, Lagrange’s mean value theorem and applications.
Integral Calculus:
Materials Chemistry
Chemical Bonding and Intermolecular Forces: Ionic, covalent, metallic, and hydrogen bonding, van der Waals forces, dipole interactions, Influence on material properties.
Semiconducting Materials: Band theory: conductors, semiconductors, and insulators Intrinsic and extrinsic semiconductors (n-type and p-type)- Materials: silicon, germanium, GaAs, perovoskites-Doping, defects, and their role in conductivity-Applications in ICs, transistors, solar cells, sensors .
Introduction to Data Science
Overview of Data Science, Data Handling with Python, Characteristics of Data, Statistical Description of Data, Data Visualization, Data Preprocessing, Basic Concepts of Machine Learning, K-Nearest Neighbors (KNN).
Computer Programming
Introduction to Linux – introduction to programming – basic elements of a program,variables, values, types, assignment – expressions and control flow – iteration and loop design, arrays, for loop, functions, pointers, parameters, recursion – object-oriented paradigm, objects, classes, constructors, destructor, operator overloading, friend function, inheritance.
