Course Name: Computer Numerical Control of Machine Tools and Processes

Course abstract

These lectures would introduce the idea of Computer numerical control CNC of machine tools and processes to the students. It will cover classification of such machine tools, technology and devices employed in CNC machines, 2D and 3D programming and interpolation. With every part, there will be MCQ, tutorial, problem solving and discussions.


Course Instructor

Media Object

Prof. Asimava Roy Choudhury

Prof. Asimava Roy Choudhury received his B.E, (Mechanical) Degree from Jadavpur University in 1983, M.Tech. (Machine Tools Engg) from IIT Kharagpur in 1984 and Ph.D. (Engg) from IIT Kharagpur in 1999. Asimava Roy Choudhury is at present a professor in the Mechanical Engineering Department of IIT Kharagpur. His interests include: Computer numerical control, Direct slicing in Rapid Prototyping, Non-traditional manufacturing processes and Laser coating of surfaces.


Teaching Assistant(s)

DIPANJAN DEY

Ph.D, Mechanical Engineering

Anitesh Kumar Singh

PhD, Mechanical Engineering

 Course Duration : Feb-Mar 2018

  View Course

 Enrollment : 20-Nov-2017 to 05-Feb-2018

 Exam registration : 08-Jan-2018 to 07-Mar-2018

 Exam Date : 28-Apr-2018

Enrolled

4089

Registered

137

Certificate Eligible

77

Certified Category Count

Gold

0

Silver

0

Elite

19

Successfully completed

58

Participation

20

Success

Elite

Gold





Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

Final Score Calculation Logic

  • Assignment Score = Average of best 3 out of 4 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Computer Numerical Control of Machine Tools and Processes - Toppers list

GEORGY GEORGE 86%

TKM INSTITUTE OF TECHNOLOGY

ASWIN V S 83%

THANGAL KUNJU MUSALIAR COLLEGE OF ENGINEERING

ANKUR VATS 73%

UNIVERSAL DIE CASTERS PVT LTD

NIKHIL JAIN 70%

TECHNO INDIA NJR INSTITUTE OF TECHNOLOGY

ARYA SHESHAM 70%

ASANSOL ENGINEERING COLLEGE

Enrollment Statistics

Total Enrollment: 4089

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Data Not Found..!

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.