Course Name: Higher Engineering Mathematics

Course abstract

This course is a basic course offered to UG/PG students of Engineering/Science background. It consists of four main topics : 1.Discrete Mathematics: Symbolic representation of statements, Duality, Tutologies and contradictions, Quantifiers, languages and Grammers, Finite state machines, Lattices as partially ordered sets, Lattices as Algebraic systems, Sublattices, Boolean algebra and Boolean functions, Representations of Boolean functions, Application of Boolean functions to synthesis of circuits, Circuit minimizations, Karnaugh Map. 2.Graph theory: Various types of Graphs, Subgraphs, Walks, Trails, Paths, Cycles, Eularian and Hamiltonian graphs, Travelling salesman problem, Vertex and edge connectivity, Matrix representation of graphs, Incidence and adjacency matrices of graphs, Planar graphs, Kuratowski’s graphs, detection of planarity, Euler’s formula, duals of a Planar graph, Colouring of graphs, Four color theorem. 3.Linear programming problems: Graphical method, simplex method, Big-M method, two phase method, Dual Simplex method and applications. 4.Queuing theory: Basic charecteristics of Queuing modles, Distribution of arrivals and service times, M/M/1:∞/FIFO model, M/M/S:∞/FIFO model, M/M/1:N/FIFO model, M/M/S:N/FIFO model and their applications.


Course Instructor

Media Object

Prof. P. N. Agrawal

Dr. P. N. Agrawal is a Professor in the Department of Mathematics, IIT Roorkee. His area of research includes approximation Theory and Complex Analysis. He delivered 13 video lectures on Engineering Mathematics in NPTEL Phase I and recently completed Pedagogy project on Engineering Mathematics jointly with Dr. Uaday Singh in the same Department. Further he has completed online certification course “Mathematical methods and its applications” jointly with Dr. S.K. Gupta and two more courses namely “Integral equations and calculus of variations and its applications” and “Numerical Linear Algebra” with Dr. D. N. Pandey of the same department. He has taught engineering mathematics to B.Tech and M.Tech students at IIT Roorkeefor many years. He has supervised twelve Ph.D. theses and has published more than 200 research papers in reputed international journals of the world. Currently, he is supervising eight research students.
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Teaching Assistant(s)

Ruchi

P.hD

Abhishek Kumar

P.hD

Abhishek Kumar

 Course Duration : Jul-Oct 2019

  View Course

 Enrollment : 15-May-2019 to 05-Aug-2019

 Exam registration : 01-Jun-2019 to 30-Sep-2019

 Exam Date : 17-Nov-2019

Enrolled

1903

Registered

159

Certificate Eligible

132

Certified Category Count

Gold

5

Silver

51

Elite

54

Successfully completed

22

Participation

11

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 8 out of 12 assignments.
  • FINAL SCORE (Score on Certificate) = 75% of Exam Score + 25% of Assignment Score.
Higher Engineering Mathematics - Toppers list
Top 1 % of Certified Candidates

GUNJAN AGRAWAL 95%

NETAJI SUBHAS UVIVERSITY OF TECHNOLOGY

MINAZ BI SHEIKH 95%

GOA COLLEGE OF ENGINEERING


Top 2 % of Certified Candidates

HARSHIT KUMAR 90%

VTech Institute of Integrated Technology, BULANDSHAHR

AKANKSHA SINGH 90%

NETAJI SUBHAS UNIVERSITY OF TECHNOLOGY

SANAMPUDI KALYANI 90%

VKR, VNB & AGK COLLEGE OF ENGINEERING


Top 5 % of Certified Candidates

SHAILY 88%

NSUT

DR. DATAR YOGITA GAJANAN 88%

SHREE SIDDHESHWAR WOMENS COLLEGE OF ENGINEERING, SOLAPUR

DR. MEGHNA KUMAWAT 88%

Govt. Mahila Engineering College, Ajmer

HARSHNA BALHARA 88%

NSUT,DWARKA

Enrollment Statistics

Total Enrollment: -1

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Registration Statistics

Total Registration : 159

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.