Mathematics

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Courses Offered

Mathematics

Dual Degree

B. Tech. in Engineering physics and MS/M (Dual Degree)

Code Course Title L T P C
MA111 Calculus 3 1 0 4
MA112 Computer Programming and Applications 2 0 3 3
Total 5 1 3 7
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA121 Vector Calculus and Differential Equations 2 1 0 3
Total 2 1 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA211 Linear Algebra, Complex Analysis and Fourier Series 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA221 Integral transforms, PDE, and Calculus of Variations 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA311 Probability, Statistics, and Numerical Methods 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA361 Computer Modelling and Simulation 3 0 0 3
MA362 Optimization Techniques 3 0 0 3
MA363 Artificial Neural Networks 3 0 0 3
Total 9 0 0 9
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

B. Tech. in Aerospace Engineering

Code Course Title L T P C
MA111 Calculus 3 1 0 4
MA112 Computer Programming and Applications 2 0 3 3
Total 5 1 3 7
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA121 Vector Calculus and Ordinary Differential Equations 2 1 0 3
Total 2 1 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA211 Linear Algebra, Complex Analysis and Fourier Series 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA221 Integral Transforms, PDE, and Calculus of Variations 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA311 Probability, Statistics, and Numerical Methods 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA111 Calculus 3 1 0 4
MA112 Computer Programming and Applications 2 0 3 3
Total 5 1 3 7
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA121 Vector Calculus and Ordinary Differential Equations 2 1 0 3
Total 2 1 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA211 Linear Algebra, Complex Analysis and Fourier Series 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA221 Integral Transform, PDE and Calculus of Variations 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA311 Probability, Statistics and Numerical Methods 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

M. Tech. in Machine Learning and Computing

Code Course Title L T P C
MA611 Optimization Techniques 3 0 0 3
MA613 Data Mining 3 0 0 3
MA617 Numerical Linear Algebra 3 0 0 3
MA618 Foundations of Machine Learning 3 0 0 3
MA632 Data Modeling Lab I 0 0 6 2
MA633 Data Mining Lab 0 0 3 1
MA634 Foundations of Machine Learning Lab 0 0 3 1
Total 12 0 12 16
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA624 Advanced Machine Learning 3 0 0 3
MA625 Statistical Models and Analysis 3 0 0 3
MA642 Data Modeling Lab II 0 0 6 2
MA643 Statistical Modeling Lab 0 0 3 1
MA644 Advanced Machine Learning Lab 0 0 3 1
Total 6 0 12 10
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA851 Seminar 0 0 0 1
MA852 Project Work 0 0 0 14
Total 0 0 0 15
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA853 Project Work 0 0 0 17
Total 0 0 0 17
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA869 Discrete Mathematics and Graph Theory 3 0 0 3
N/A Introduction to Parallel Programming 3 0 0 3
N/A Introduction to Internet of Things 3 0 0 3
MA871 Advanced Kernel Methods 3 0 0 3
MA872 Advanced Optimization 3 0 0 3
MA873 Graphical and Deep Learning Models 3 0 0 3
MA867 Reinforcement Learning 3 0 0 3
MA874 Theory of Algorithms 3 0 0 3
MA875 Topological Data Analysis 3 0 0 3
Total 27 0 0 27
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA812 Mathematical Methods 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA619 Mathematics For Electrical Engineering 3 0 0 3
MA611 Optimization Techniques 3 0 0 3
MA618 Foundations of Machine Learning 3 0 0 3
Total 9 0 0 9
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA619 Advanced Mathematics 3 1 0 4
Total 3 1 0 4
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
Code Course Title L T P C
MA611 Optimization Techniques 3 0 0 3
MA613 Data Mining 3 0 0 3
MA624 Advanced Machine Learning 3 0 0 3
Total 9 0 0 9
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA619 Advanced Mathematics 3 1 0 4
Total 3 1 0 4
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA619 Advanced Mathematics 3 1 0 4
Total 3 1 0 4
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA615 Advanced Engineering Mathematics 3 0 0 3
Total 3 0 0 3
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below

Code Course Title L T P C
MA624 Advanced Machine Learning 3 0 0 3
MA613 Data Mining 3 0 0 3
Total 6 0 0 6
Notes:
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below
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