|
|
|
School of Mathematical Sciences & Engineering
Department of Applied Mathematics
The Department of Applied Mathematics under the School of Mathematical Sciences and Engineering came into existence in 2005.The Masters degree programme has been designed to give the students both depth and breadth in mathematical sciences, and at the same time expose them to research and training experiences that will equip them for variety of jobs in academic and non-academic settings. Recently, the University Grants Commission has recognized Applied Mathematics as a job-oriented course. Therefore, the Higher Education Department of the Jammu and Kashmir state hasinitiated teaching of Appl ied Mathematics in many Degree Colleges. The objective of the Masters programme is to train students in areas of modern mathematics that have great potential to analyzing problems from other fields and help in solving real life problems. The department has young, dynamic and dedicated faculty deeply involved in teaching and research pursuits. Some faculty members have collaboration with other prestigious institutes in India and aboard. The department is maintaining a Computer lab and has full time Internet facility. The Department also involves eminent guest faculty from prestigious institutions of the country in teaching and research. Master in Applied Mathematics is full time, 2 year, 4-semester programme. The programme is intended to impart working knowledge of several areas of Mathematics and a specific area of application. The student is required to earn 96 credits for getting the degree. The following is the breakup of the credit value of each activity:
Technical Communication: 02 credits Core Courses: 40 credits Modeling, Simulations, Computer Programming and Application: 16 credits Minor Project, Dissertation/ Major Project: 12 credits Electives: 20 credits Viva Voce: 06 credits
Course Curriculum
Semester I Theory MAM 101: Applied Analysis MAM 102: Linear Algebra MAM 103: Ordinary and Partial Differential Equations MAM 104: Numerical Analysis MAM 105: Computer Fundamentals and Programming in C MAM 106: Technical Communication Lab Course MAM 107: Lab course on Computer Fundamentals and Programming in C
Semester II Theory MAM 201: Metric Space and Topology MAM 202: Methods of Applied Mathematics MAM 203: Operation Research MAM 204: C++ & Object Oriented Programming MAM 206: Viva-voce MAM 207 or Elective I MAM 208: Lab Course MAM 205: Lab on C++ & Object Oriented Programming
Semester III Theory MAM 301: Functional Analysis MAM 302: Modeling and Simulations MAM 303: Probability and Statistics MAM 304: Complex Analysis MAM 305: Project MAM 306 or Elective II MAM 307:
Semester IV Theory MAM 401: Dissertation/Major Project MAM 402: Viva-Voce MAM 403 Elective-III to Elective-IV MAM 429: Elective-V
Areas of Specialization Elective I MAM 207: Mechanics MAM 208: Mathematical Biology Elective II MAM 306: Discrete Mathematical Structures MAM 307: Lebesgue Measure and Integration
Elective (III, IV, V) MAM 403: Applied Functional Analysis MAM 404: Numerical Solution of Partial Differential Equations MAM 405: Graph Theory MAM 406: Integral Equations and Boundary Value Problems MAM 407: Theory of Elasticity MAM 408: Fluid Dynamics MAM 409: Wavelets MAM 410: Control Theory MAM 411: Optimization Techniques MAM 412: Mathematical Modeling of Industrial Problems MAM 413: Industrial Biomathematics MAM 414: Computational Biology MAM 415: Special Functions MAM 416: Theory of Vibrations MAM 417: Finite Element Methods MAM 418: Fuzzy Sets and Neural Networks MAM 419: Coding Theory MAM 420: Theory of Relativity MAM 421: Recent Techniques of Image Processing and Data Compression MAM 422: Mathematical Modeling MAM 423: Convex Analysis MAM 424: Introduction to Variational Inequalities MAM 425:Spectral Methods for ODEs and PDEs MAM 426: Mathematical Models in Finance MAM 427: Numerical Linear Algebra and approximation
Intake Total Seats 21 Open Merit & Reserved: 15 Self-Financing: 06
Eligibility for Admission to MAM programme
Bachelors' degree of 10+2+3 pattern with Mathematics as one of the subjects or any other degree recognized equivalent thereto from any recognized university with atleast 45% Marks in aggregate (40% for the candidates belonging to the Scheduled Caste/ Scheduled Tribe categories). Candidates appearing in the final year examination of the qualifying degree, or those whose result of the same is awaited, can also apply provisionally.
Procedure for Admission
For admission to MAM programme merit will be calculated by adding marks secured in Mathematics to the total marks of Bachelor degree examination. The department has provision for conducting M.Sc. Tech. programme in Industrial mathematics with Computer Applications for such students who have put-in two years in M.Sc. Applied Mathematics of this or any other University. Such students will be required to put-in two more semesters and collect 48 additional credits. These two semesters are devoted to more computer oriented courses on Industrial Mathematics. This course, designed by the UGC caters to the requirements of software and process industry and educational institutes. The dual purpose curriculum covers the syllabus of M.C.A. and M.Sc. Applied Mathematics of Indian Universities. The program will be backed by strong campus placement activities. The course curriculum for the additional semesters will be:
M. Sc. Tech (Industrial Mathematics with Computer Applications) The department has provision for conducting M.Sc. Tech. programme in Industrial mathematics with Computer Applications for such students who have put-in two years in M.Sc. Applied Mathematics of this or any other University. Such students will be required to put-in two more semesters and collect 48 additional credits. These two semesters are devoted to more computer oriented courses on Industrial Mathematics. This course, designed by the UGC caters to the requirements of software and process industry and educational institutes. The dual purpose curriculum covers the syllabus of M.C.A. and M.Sc. Applied Mathematics of Indian Universities. The program will be backed by strong campus placement activities. The course curriculum for the additional semesters will be:
Semester I Theory MIM 101: Operating Systems MIM 102: Design and Analysis of Algorithms MIM 103: Computer Architecture MIM 104: Data Structure using C MIM 105: Computer Techniques and Computer Network Lab Course MIM 106: Lab on Computer Architecture; Data Structure; and Computer Network
Semester II Theory MIM 201: Data based systems and Artificial Intelligence MIM 202: Computer Graphics Project MIM 203: Project work Faculty Resident
Dr. M. Asger Head of the Department Mobile No. 9419103562. Dr. Mohd Iqbal Bhat Mrs. Leena Prasher Mr. Zaheer Abbas
Visiting
Prof. V. P. Saxena Jiwaji University, Gwalior Prof. Khalil Ahmed JMI, New Delhi Prof. P. K. Jain University of Delhi Prof. G. C. Sharma B.R.A. University, Agra Prof. N. K. Gupta IIT, Delhi Prof. B. S. Komal University of Jammu Prof. M. A. Sofi University of Kashmir |
