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KL deemed to be University Department of Mathematics

PG Ph.D.
Placements Track
100%*
*For eligible & registered students
Location

Vijayawada / Hyderabad
Campus

Start dates
  • Semester 1 - 8 Jul 2019
  • Semester 2 - 29 Jan 2019
Mode of delivery

Class Room

Fee Structure

Click here for indicative program fee.

Duration

2 years full-time.

Vision

To enable and empower the students apply the principles of Mathematics, in developing and analysing the Mathematical models related to complex engineering and societal problems.

Mission

To offer courses and programmes of study that will enable the learners not only to obtain abilities to critically assess numerical and graphical information, but also to learn to formulate strategies for solving problems, relevant applications and acknowledge the importance of being intellectually curious throughout their adult lives.

PO1 Ability to assimilate and understand a large body of complex concepts and their interrelationships.
PO2 Apply Advanced Mathematical Techniques to formulate, solve and analyze mathematical models of real life problems.
PO3 Identify and apply suitable computational mathematical tools and techniques to solve various complex Engineering problems
PO4 Ability to communicate, and work, with people of diverse backgrounds in individual and group settings, in an ethical and professional manner.
PO5 To maintain a core of mathematical and technical knowledge that is adaptable to changing technologies and provides a solid foundation for life long learning.
PO6 Ability to apply Mathematics as a language in a wide range of situations relevant to research and industry.
PO7 Promote interdisciplinary research among allied subjects related to applied mathematics
PO8 Use symbolic and numerical software as part of practical computation.
PSO1 An ability to identify, formulate, abstract, and solve mathematical problems that use tools from a variety of mathematical areas, including algebra, analysis, probability, numerical analysis and differential equations
PSO2 The program prepares students for a variety of mathematical careers. The current program has three identified tracks: Cryptography, Data analysis, Applied Mechanics, and Ph.D preparation. Students should be prepared for employment requiring mathematical skill and sophistication at the Master’s level.
PSO3 Apply mathematics and technology tools (MATLAB, R, MINITAB) to solve problems.
PSO4 Ability to do research in a particular topic agreed with a Supervisor, on which the student publish a research paper in an defaulted journal.
  • Each Academic Year is divided into two semesters, each of, approximately, 18 weeks duration:
    • Odd Semester (July – December).
    • Even Semester (January – May)
  • All courses are categorized into three streams even, odd and dual semester courses.
  • Even semester courses are offered only during even semester i.e., January-May, Odd semester courses are offered only during odd semester i.e., July-December and dual semester courses are offered during both even & odd semesters.
  • A Program is a set of courses offered by the University that a student can opt and complete certain stipulated credits to qualify for the award of a degree.
  • A student can opt for dissertation either by means of research at the University (or) through Internship at an Industry; this is however allowed during 3rd (or) 4th semesters only.

 

Semester-I

Sl#

Course Code

Course Title

Cr

1

19AM1101

Real Analysis

4

2

19AM1102

Ordinary Differential Equations

4

3

19AM1103

Numerical Methods

4

4

19AM1104

Introduction to Computer Programming

4

5

19AM1105

Mathematical Statistics

4

6

19AM1106

Seminar-1

1

 

Semester-II

Sl#

Course Code

Course Title

Cr

1

19AM1201

Soft computing

4

2

19AM1202

Data Structures

4

3

19AM1203

Statistical Inference

4

4

19AM1204

Discrete Mathematics

4

5

19AM1205

Complex Analysis

4

6

19AM1206

Seminar-2

1

 

Semester-III

Sl#

Course Code

Course Title

Cr

1

19AM2101

Partial Differential Equations

4

2

19AM2102

Data base Management systems

4

3

19AM2103

Abstract Algebra

4

4

19AM2104

Transform Techniques

4

5

  

Elective-I

4

6

19AM2105

Seminar-3

1

 

Semester-IV

Sl#

Course Code

Course Title

Cr

1

19AM2201

Topology

4

2

19AM2202

Mathematical Programming

4

3

Elective-II

4

4

Elective-III

4

5

19AM2203

Dissertation with Research Publication

12

 

ELECTIVE STREAM -CRYPTOGRAPHY & CYBERSECURITY

Sl#

Course Code

Course Title

Cr

1

19AM2106

Crypto Analysis And

Cyber Defense

4

2

19AM2204

Computer Networks and Security

4

3

19AM2205

Crypto currencies & Block chain Technologies

4

 

ELECTIVE STREAM - DATA ANALYTICS

Sl#

Course Code

Course Title

Cr

1

19AM2107

Statistics with R

Programming

4

2

19AM2206

Big Data Analytics

4

3

19AM2207

Cloud Computing

4

 

ELECTIVE STREAM – Fluid Mechanics

Sl#

Course Code

Course Title

Cr

1

19AM2108

Continuum

Mechanics-1

4

2

19AM2208

Continuum

Mechanics-2

4

3

19AM2209

Computational Fluid

Dynamics

4

Study an Mathematics Degree

Department of Mathematics at KLEF would be strong enough to impart quality and competent education to the under graduate / post graduate and Research Programs. The outgoing students will be competent enough to pursue higher education in institutes of excellence both nationally and internationally.

Why study with us?

  • Students not only learn the skills required, but during the course of studies the students are exposed to thoughtprovoking and intellectually inspiring sessions, through studios, field trips and research projects, which brings out the creative best in them.
  • KLEF has interactive classes, highly qualified and skilled faculties, which makes the learning easy.

Department Bulletin

Inaugural Function Inspire program 2017

Smart Village Revolution Program

News & Announcements

  • Dr. S.V.Subrahmanyam has presented a talk on "Hydrodynamic Lubrication of Asymmetric Rollers by Power-law and Bingham Plastic Fluids" in an invited session of Second International Conferenceon Applications of Mathematics to Non-Linear Science during 27-30 June, 2019 in Pokhara, Nepal.

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