Semester 1 • B.Tech AIDS
Academic Portfolio
Centralized Knowledge Repository for Artificial Intelligence & Data Science at Amrita Vishwa Vidyapeetham.
Student Profile
Hello, I'm Dinesh Kumar
I am a B.Tech student pursuing Artificial Intelligence and Data Science (AIDS) at Amrita Vishwa Vidyapeetham. Currently in my First Semester.
This portfolio serves as my academic dashboard, featuring my class schedule, detailed syllabus curriculum, and direct access to my study materials.
Fall 2025 Schedule
Class: I-SEM-B.Tech-AI-DS | Room: 16
| Time | Monday | Tuesday | Wednesday | Thursday | Friday |
|---|---|---|---|---|---|
| 08:00 - 08:50 | Evaluation | ||||
| 08:50 - 09:40 | 23EEE103 Intro Elec. Eng. | 23PHY104 Comp. Mech 1 | 23AID102 Elements Comp 1 | 23BIO112 Intro Bio Data | 23PHY104 Comp. Mech 1 |
| 09:40 - 10:30 | 23MAT106 Maths Intel Sys | 23AID101 Comp. Thinking | 23EEE103 Intro Elec. Eng. | 23MAT106 Maths Intel Sys | 23AID101 Comp. Thinking |
| 10:30 - 10:45 | Morning Break | ||||
| 10:45 - 11:35 | 23BIO112 Intro Bio Data | 23AID102 Elements Comp 1 | 22AVP103 Mastery Mind | 23AID101 Comp. Thinking | 23BIO112 Intro Bio Data |
| 11:35 - 12:25 | 23AID102 Elements Comp 1 | 23EEE103 (Lab) Elec. Eng. | 22AVP103 Mastery Mind | 23PHY104 Comp. Mech 1 | 23MAT106 Maths Intel Sys |
| 12:25 - 01:15 | 22ADM101 Indian Heritage | 23EEE103 (Lab) Elec. Eng. | 22ADM101 Indian Heritage | 23EEE103 Elec. Eng. | Project/Lab |
| 01:15 - 02:05 | Lunch Break | ||||
| 02:05 - 02:55 | 23PHY104 (Lab) Comp. Mech 1 | Test | Test | Test | Test |
| 02:55 - 04:35 | 23PHY104 (Lab) | 23BIO112 (Lab) Bio Data | 23MAT106 (Lab) Maths Intel Sys | 23AID102 (Lab) Elements Comp 1 | 23AID101 (Lab) Comp. Thinking |
| Project/Lab | |||||
Syllabus & Curriculum
Select a subject below to view detailed syllabus units and evaluation patterns.
23MAT106
View SyllabusMaths for Intelligent Systems 1
Credits: 4 | Semester: 1
23PHY104
View SyllabusComputational Mechanics 1
Credits: 3 | Semester: 1
23AID101
View SyllabusComputational Thinking
Credits: 3 | Semester: 1
23AID102
View SyllabusElements of Computing 1
Credits: 3 | Semester: 1
23EEE103
View SyllabusIntro to Electrical Engineering
Credits: 3 | Semester: 1
22AVP103
View SyllabusMastery Over Mind
Credits: 2 | Semester: 1
22ADM101
View SyllabusFoundations of Indian Heritage
Credits: 2 | Semester: 1
23BIO112
View SyllabusIntroduction to Biological Data
Credits: 3 | Semester: 1
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Mathematics for Intelligent Systems 1
Unit 1
Basics of Linear Algebra – Linear Dependence and independence of vectors – Gaussian Elimination – Rank of set of vectors forming a matrix – Vector space and Basis set for a Vector space – Dot product and Orthogonality -CR decomposition – Rotation matrices – Eigenvalues and Eigenvectors and its interpretation-Introduction to SVD-Computational experiments using Matlab/Excel/Simulink.
Unit 2
Ordinary Linear differential equations, formulation – concept of slope, velocity and acceleration – analytical and numerical solutions- Impulse Response computations- converting higher order into first order equations – examples of ODE modelling in falling objects, satellite and planetary motion, Electrical and mechanical systems– Introduction to solving simple differential equations with Simulink- Introduction to one variable optimization – Taylor series- Computational experiments using Matlab /Excel/Simulink.
Unit 3
Introduction to random variables (continuous and discrete), mean, standard deviation, variance, sum of independent random variable, convolution, sum of convolution integral, probability distributions.
Unit 4
Introduction to quantum computing, Quantum Computing Roadmap, Quantum Mission in India, A Brief Introduction to Applications of Quantum computers, Quantum Computing Basics, Bracket Notation, Inner product, outer product, concept of state.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
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Computational Mechanics 1
Unit 1: Kinematics and Statics
Position, velocity, and acceleration of particles, Newton’s laws of motion, Work and energy, Rigid body kinematics, Translations and Rotations, Alternate representations of Rigid body Rotation – Rotation matrices, Euler angles, Axis-angle representations, Quaternions. Introduction to statics and equilibrium, Free body diagrams, Equilibrium of particles and rigid bodies, Computational aspects of solving kinematics and statics problems of real world systems.
Unit 2: Introduction to Kinetics
Cross product of two vectors, Inertial and Non-Inertial frame of reference, Linear momentum, Center of mass, Coriolis, Inertial and Centripetal forces, Acceleration in polar coordinates, Angular velocity, Angular momentum and Torque on particles, Computational aspects of solving kinetics problems of particles.
Unit 3: Kinetics of Rigid Bodies
Two particle system angular momentum, Inertia matrix, Moment and product of inertia, Principal axes theorem, Principal axes as eigenvector of Inertia matrix, Parallel axes theorem, Computational aspects of solving kinetics problems of particles, Introduction to Euler-Lagrange and Newton-Euler equations for solving rigid body dynamics. Euler-Lagrange equation derivation using one dimensional point mass example, Application of Euler-Lagrange equation for solving dynamics of simple mechanical systems.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
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Computational Thinking
Unit 1
Computational Thinking, critical thinking, data representation, abstraction, decomposition- breaking problems into parts, basic data types, pseudocode, algorithms-methods to solve the problems, brute-force or exhaustive search problems, divide and conquer problems
Unit 2
Computational Thinking using spreadsheets, basic operations, cell references – relative and absolute, lookup operations, implement fractals – newton, Sierpinski triangle, L-system fractals, solve calculus based problems using spreadsheet, using spreadsheet for solving probability related problems
Unit 3
Computational thinking using matlab, basic operations, plotting of vectors, array and matrix operations, implement fractals – newton, Sierpinski triangle, L-system fractals, solve calculus based problems using matlab, using matlab for solving probability related problems
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
← Back to Curriculum
Elements of Computing 1
Unit 1
Number System, Conversions, Signed and Unsigned Binary Number Representation, Boolean algebra and Karnaugh Maps, Logic gates, Realization of basic gates using universal gates, Boolean function synthesis, Introduction to Hardware simulator platform Nand2teris, Hardware description language, Implementation of basic gates and its multi-bit and multiway versions in Nand2teris software suite.
Unit 2
Combinational Logic, Half Adder, Full Adder, Multiplexer and demultiplexer, Multi-bit and Multiway versions, Realization of Boolean functions using combinational logic, Arithmetic logic unit (ALU)-specification, design, Sequential logic, Flip Flops, Registers, RAM, ROM.
Unit 3
Von-Neumann architecture, Program Counter, Central Processing unit, Data Memory, Hack machine language specifications/ instructions for CPU design, Hack CPU Design, CPU Control logic, building a Hack Computer.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
← Back to Curriculum
Intro to Electrical Engineering
Unit 1: DC Circuit
EMF, Charge, Voltage, Current – Linear circuit elements – Energy and power – Ohms law – Kirchhoff’s voltage and current law – Series parallel combination of R, L, C components – Voltage divider and current divider rules – Super position theorem – Nodal and Mesh Analysis – Step response of RL and RC Circuits (Transient behaviour) – Equivalent network: Thevenin and Norton.
Unit 2: AC Circuit
Impedance – Instantaneous, Average, Active, Reactive and Apparent Power – Power Factor – Phasors
Unit 3: Introduction to Control Systems
State Space Representation: State, State variable, and State Model – Canonical state space model for Series RLC Circuit – Solution using eigen values and eigen vectors.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
← Back to Curriculum
Mastery Over Mind
Unit I: Describe Meditation and Understand its Benefits
A: Importance of meditation. How does meditation help to overcome obstacles in life. B: Understand how meditation works. Understand how meditation helps in improving physical and mental health. Understand how meditation helps in the development of personality.
Unit II: Causes of Stress and How Meditation Improves Well-being
A: Learn how to prepare for meditation. Understand the aids that can help in effectively practicing meditation. Understand the role of sleep, physical activity, and a balanced diet in supporting meditation. B: Causes of Stress. The problem of not being relaxed. Effects of stress on health. How meditation helps to relieve stress. Basics of stress management at home and the workplace.
Unit III: The Science of Meditation
A: A preliminary understanding of the Science of meditation. What can modern science tell us about this tradition-based method? B: How meditation helps humanity according to what we know from scientific research
Unit IV: Practicing MA OM Meditation in Daily Life
Guided Meditation Sessions following scripts provided (Level One to Level Five)
Unit V: Improving Communication and Relationships
How meditation and mindfulness influence interpersonal communication. The role of meditation in improving relationship quality in the family, at the university and in the workplace.
Unit VI: Meditation and Compassion-driven Action
Understand how meditation can help to motivate compassion-driven action.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Continuous Assessment (CA) | Internal | 80 |
| End Semester | External | 20 |
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Foundations of Indian Heritage
Overview
Educational Heritage of Ancient India, Life and Happiness, Impact of Colonialism and Decolonization, A timeline of Early Indian Subcontinent, Pinnacle of Selflessness and ultimate freedom, Indian approach towards life, Circle of Life, Ocean of love; Indian Mahatmas, Man’s association with Nature, Celebrating life 24/7, Metaphors and Tropes, Become A Strategic Thinker (Games / Indic activity), India: In the Views of Other Scholars and Travellers, Personality Development Through Yoga, Hallmark of Indian Traditions: Advaita Vedanta, Theory of oneness, Conversations on Compassion with Amma.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Continuous Assessment (CA) | Internal | 30 |
| Mid-Semester | Internal | 30 |
| End Semester | External | 40 |
← Back to Curriculum
Introduction to Biological Data
Course Overview
Introduction to biological datasets, bioinformatics, and data analysis techniques relevant to AI/DS.
Evaluation Pattern
| Assessment | Internal/External | Weightage (%) |
|---|---|---|
| Assignments (Min 2) | Internal | 30 |
| Quizzes (Min 2) | Internal | 20 |
| Mid-Term Examination | Internal | 20 |
| Term Project / End Sem | External | 30 |
Course Notes
Select a subject below to access cloud-hosted study materials.
23MAT106
Open Drive LinksMaths for Intelligent Systems 1
23PHY104
Open Drive LinksComputational Mechanics 1
23AID101
Open Drive LinksComputational Thinking
23AID102
Open Drive LinksElements of Computing 1
23EEE103
Open Drive LinksIntro to Electrical Engineering
23BIO112
Open Drive LinksIntro to Biological Data
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Maths Resources
- Class Notes (Professor Website) Visit Site
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Physics Resources
- Class Notes Open Folder
- Matlab Codes Open Folder
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Thinking Resources
- Class Notes Open Folder
- Exam Papers Open Folder
- My Practice Open Folder
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Elements Resources
- Class Notes (SharePoint) Open Folder
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EEE Resources
- Class Notes Open Folder
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Bio Resources
- Class Notes Open Folder
- Linux Class Materials Open Folder
- Python & Matlab Codes Open Folder