BSMA1003 · workspace

Maths 2

Syllabus, study tools, lectures, and curriculum map.

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Weekly outline

Syllabus

Week topics from the course map

00W00

Topic

Incomplete

01W01

Vector and matrices -

Incomplete

02W02

Solving linear equations -

Incomplete

03W03

Introduction to vector spaces -

Incomplete

04W04

Basis and dimension -

Incomplete

05W05

Rank and Nullity of a matrix;

Incomplete

06W06

Linear transformation, Kernel and Images -

Incomplete

07W07

Equivalent and Similar matrices;

Incomplete

08W08

Orthogonality, Orthonormality;

Incomplete

09W09

Multivariable functions, Partial derivatives,

Incomplete

010W10

Directional ascent and descent,

Incomplete

011W11

Higher order partial derivatives,

Incomplete

Study tools

Memorize first

Compact recall strip

Open notes

6 min

Limits & Continuity for Multivariable Functions

Open this first for the core logic and traps.

Dive in

7 min

Affine Subspaces & Affine Mappings

Open this first for the core logic and traps.

Dive in

7 min

Critical Points & Steepest Ascent/Descent

Open this first for the core logic and traps.

Dive in

Practice Dock

One drill at a time, with Theo hints, teacher lanes, and a replay queue.

Use this when the theory is already clear and the goal is fast, clean retrieval under pressure. Mark weak questions, copy a revision pack, and move on.

TheoTeacherTextbookSpeedrun

Ask less. Recall more.

Open Practice Dock

SM-2 Active

Spaced Repetition

Flashcards

Spaced repetition engine for long-term retention of core concepts.

Start session

Not Available

Interactive Simulations

Visual Labs

Exam Mode

Adaptive Practice

Mock Exam

Set paper

Code Protocol

OPPE Simulator

Secure Comm-Link Terminal

Secure Comm-Link // @maths-2

Uplink 12ms

Syllabus Synchronization: Active

Open current cue

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Foundational

Diploma

BSc Degree

BS Degree

PG / MTech

BSMA1003

Foundational

4 Credits

Mathematics for Data Science II

This course aims to introduce the basic concepts of linear algebra, calculus and optimization with a focus towards the application area of machine ...

Required Dependencies:

Deployment Hub External Docs

Execution Protocol

Module 0

Topic

Module 1

Vector and matrices -

Module 2

Solving linear equations -

Module 3

Introduction to vector spaces -

Module 4

Basis and dimension -

Module 5

Rank and Nullity of a matrix;

Module 6

Linear transformation, Kernel and Images -

Module 7

Equivalent and Similar matrices;

Module 8

Orthogonality, Orthonormality;

Module 9

Multivariable functions, Partial derivatives,

Module 10

Directional ascent and descent,

Module 11

Syllabus

Topic

Vector and matrices -

Solving linear equations -

Introduction to vector spaces -

Basis and dimension -

Rank and Nullity of a matrix;

Linear transformation, Kernel and Images -

Equivalent and Similar matrices;

Orthogonality, Orthonormality;

Multivariable functions, Partial derivatives,

Directional ascent and descent,

Higher order partial derivatives,

Compact recall strip

One drill at a time, with Theo hints, teacher lanes, and a replay queue.

Flashcards

Visual Labs

Mock Exam

OPPE Simulator

Secure Comm-Link Terminal

Syllabus Matrix Registry

Master Registry

Foundational

Diploma

BSc Degree

BS Degree

PG / MTech

Mathematics for Data Science II

Execution Protocol

Topic

Vector and matrices -

Solving linear equations -

Introduction to vector spaces -

Basis and dimension -

Rank and Nullity of a matrix;

Linear transformation, Kernel and Images -

Equivalent and Similar matrices;

Orthogonality, Orthonormality;

Multivariable functions, Partial derivatives,

Directional ascent and descent,

Higher order partial derivatives,

Video Archive

Intelligence Hub