Welcome to the IFHE

Programs

ICFAI Tech School (ITS) offers the following Campus based full-time Programs.

The B.Tech. Program

The world of technology is rapidly evolving. In the last 20 years, scientific and technological advancements have fundamentally altered the living and lifestyle. Everything from electronics to information sciences to nanotechnology have caused drastic changes in the technological and engineering environment around the globe.

The world needs leaders who understand science and technology to keep up the pace of innovation. ICFAI Group is focused on creating the leaders of tomorrow in the field of science and technology.


The following branches of engineering are offered
  • Civil Engineering
  • Computer Science and Engineering
  • Electrical and Electronics Engineering
  • Electronics and Communication Engineering
  • Mechanical Engineering

Eligibility

Pass with 60% and above aggregate marks in Class X and Class XII or its equivalent with Mathematics / Physics / Chemistry (M.P.C.) and English as subjects.

Class XII (or its equivalent) students awaiting examination results may also apply.

YEAR FIRST SEMESTER SECOND SEMESTER
I
  • English for Communication
  • Engineering Mathematics-1
  • Engineering Physics-1
  • Engineering Chemistry
  • Basic Electrical & Electronics
  • Engineering
  • Computer Programming-I
  • Engineering Graphics
  • Engineering Mathematics-2
  • Environmental Sciences
  • Engineering Physics-2
  • Engineering Mechanics
  • Introduction to Manufacturing Technology
  • Computer Programming-II
  • Measurement & Measuring Instruments
YEARTHIRD SEMESTER FOURTH SEMESTER
II
  • Principles and Practices of Management
  • Engineering Maths-III
  • Discipline Course-1
  • Discipline Course-2
  • Discipline Course-3
  • Discipline Course-4
  • Theory of Probability and Statistical Analysis
  • Discipline Course -5
  • Discipline Course -6
  • Discipline Course -7
  • Discipline Course -8
  • Discipline Course -9
YEARFIFTH SEMESTERSIXTH SEMESTER
Summer TermInternship Program I
III
  • Engineering Economics
  • Numerical Methods
  • Discipline Course -10
  • Discipline Course -11
  • Discipline Course -12
  • Discipline Course -13
  • Engineering Economics
  • Numerical Methods
  • Discipline Course -10
  • Discipline Course -11
  • Discipline Course -12
  • Discipline Course -13
Summer TermInternship Program I
YEARSEVENTH SEMESTEREIGHTH SEMESTER
IV
  • Discipline Elective-1
  • Discipline Elective-2
  • Discipline Elective-3
  • Discipline Elective-4
  • Open Elective-1
  • Open Elective-2
  • Internship Program / (Thesis + 2 Elective Courses)
  • Comprehensive Viva Voce

Course Content
Elective Courses

Merit Scholarships:

Based on percentage in 10+2 exam / Ranks secured in JEE (Main) 2017 / State Level Engineering Entrance Tests 2017. Additionally, merit scholarships are also offered in each semester based on semester-wise performance.

Admission Process

Admission is through an All India Admission Test (ITSAT 2017). Alternatively, scores of JEE (Main) 2017 / State Level / Other National Level Engineering Entrance Tests 2017 are also accepted.

Award of Degree

On successful completion of the course of studies, students will be awarded a B.Tech. from ICFAI Foundation for Higher Education, Hyderabad.


M.Tech VLSI Program

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Advances in VLSI have today enabled most systems to become compact, highly reliable and deliver data at high speed. The requirement of improved solutions for miniaturization, high speed, reliability, and high performance computers, necessitates skilled engineers. There is an urgent need to produce quality engineers who can conceive, design and develop VLSI systems.

The Program aims at preparing students to develop knowledge and skills in VLSI design methodology with systems perspective in order to facilitate the use of computer-aided design tools for the analysis and design of special-purpose digital and analog circuits and systems. The Program will help students understand the requirements of EDA development, library design, analog and mixed signal design, semiconductor chip design, design and verification of ICs, FPGA development and SOC design. Analysis, design and implementation of integrated circuits using standard tools .

The VLSI program will focus on the development of handson skills in designing semiconductor devices and circuits, architecting systems using embedded components such as CPU, memory and peripherals. Students will learn several topics starting from the lowest level of physical devices to the top level of application development involving FPGA and ASICS.

Objectives

To develop world class professionals equipped with all aspects of VLSI and Embedded design methodologies.
To expose students to the complexities and design methodologies of current and advanced IC designs.
To develop engineers trained in both hardware and design tools VLSI.
To disseminate VLSI design including both the low level circuit and high level algorithmic details

Eligibility

Minimum 60% or equivalent in the qualifying examination of Bachelor’s degree in Electronics & Communication / Electronics & Instrumentation Engineering/Instrumentation Technology/ Telecommunication Engineering / Electrical & Electronics / AMIE in appropriate branch mentioned above.

Unique Features

The program curriculum is aimed at VLSI system design (both Front end & Back end designs) covering algorithms, Hardware description Languages, System Architectures, Physical designs, Verification techniques, Simulation & Synthesis, Low power design techniques and mixed mode design methodologies.

Students will have access to well equipped VLSI Lab setup with industrial collaboration.

Institute is having the collaboration with Industry giants Mentor Graphics, Xilinx.

All students are assigned a designated supervisor, an academic member of staff who will provide formal supervision and support on a daily basis.

Program Structure

Year

Semester I

Semester II

 

 

I

System Hardware Design CMOS Analog VLSI Design
CMOS Analog Circuits VLSI Technology
Digital VLSI Design Low Power Design
CAD for VLSI Elective I

Physics of Transistors

Elective II
Language Lab
Year Semester IV Semester IV
II Elective III

Project and Viva Voice
Elective IV
Elective V
Elective VI
Pre Project Study & Seminar


List of Electives

Digital Signal Processing; Electronic Systems Design; Sensors Interfacing; Microelectronics Chip Design; System Design; Introduction to MEMS; Testing and Verification of VLSI Circuits; Embedded Systems Design; Mixed Signal VLSI Design; Nanoelectronics; Microelectronics Simulation Laboratory; Processor Design; Advanced Computer Organization.

Admission Modalities

The Admission Modalities are with reference to the campus-based PG Programs offered by IcfaiTech (ICFAI Tech School) of The ICFAI Foundation for Higher Education (IFHE), Hyderabad. The medium of instruction is English.

Admission Process

Admission into the M.Tech (Manufacturing Systems Engineering), M.Tech (VLSI) and M.Sc (Data Analytics) programs is common to all 3 PG Programs:

GATE Qualified candidates / IcfaiTech Master’s Entrance Exam (IMEE 2016).

Candidates who have Qualified in GATE (2014 onwards) need not write the IcfaiTech Master’s Entrance Exam 2016. They can directly appear for Interview.

IMEE 2016

IcfaiTech Master’s Entrance Examination (IMEE 2016) is an aptitude test conducted by IcfaiTech of IFHE for students seeking admission into the PG Programs of IcfaiTech. The test is of One hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

Personal Interview

Candidates based on the performance in GATE (from 2014 onwards) / IMEE 2016 will be called for Personal Interview at IcfaiTech, IFHE, Hyderabad on August 26, 2016.

Submission of Application Form

The completed Application Form should be sent / submitted at:
Coordinator, Post Graduate Programs (PGP),
ICFAI Tech School,
The ICFAI Foundation for Higher Education (IFHE),
Donthanpally, Shankarpally Rd, Hyderabad -501203,
Telangana State, India, Ph: 040-23479801
Email ID: pgprograms.fst@ifheindia.org
www.ifheindia.org

ADMISSION CALENDAR

Last Date for Submission of completed Application Form August 01, 2016
IcfaiTech Master’s Entrance Examination (IMEE 2016)* August 10, 2016
IMEE 2016 Results August 16, 2016
Dispatch of Interview Letters August 20, 2016
Personal Interview August 26, 2016
Issue of Admission Letters August 26, 2016 onwards
Payment of First Semester Fee on or before September 19, 2016
Reporting & Registration for First Semester September 19, 2016
Commencement of Classes Septemebr 19, 2016

* GATE Scores (from 2014 onwards) are accepted in place of IMEE 2016, and they can directly appear for Interview

Admission Fee

Selected candidates are required to pay an Admission Fee of Rs 20,000 on or before September 19, 2016.

Program Fee

The Program fee of Rs 2.50 lakhs is to be paid in four equal installments of Rs 62,500, payable at the begining of each semester.

Caution Deposit

A refundable Caution Deposit of Rs 10,000 is to be paid along with the 1st installment of the program fee. The Caution Deposit will be refunded without interest (after adjusting for dues, if any) on completion of the program.

Students are expected to have their own laptops at the time of reporting to IcfaiTech.

Remittance Details

All payments should be made by way of Demand Draft, drawn in favour of:

“IFHE-Fee Collection A/c M.Tech (2016)”, payable at Hyderabad, for M.Tech (MSE) & M.Tech (VLSI).

Commencement of Classes

September 19, 2016.

Award of Degree

On successful completion of specified courses and projects, the candidates will be awarded the M.Tech / M.Sc Degree in respective disciplines by IFHE, a Deemed-to-be-University.

M.Tech - Manufacturing Systems
Engineering Program

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IcfaiTech (ICFAI Tech School), IFHE Hyderabad offers a two year PG program, M.Tech. in Manufacturing Systems Engineering. The program provides advanced building blocks for conceptualizing, understanding manufacturing systems integrated with computer based applications. These include core courses: Unified Approach to Manufacturing systems Engineering, Manufacturing processes, Engineering Economy, Computer based simulation methods & applications, Optimization Methods & their applications, Quality & Reliability Engineering, Facilities Planning & Material Handling. Besides these there are a number of relevant electives to choose from. Further, the curriculum includes project work, which helps students understand the concepts and methods and apply to real life situations. The program enables the students to be technically competent to take-up challenging jobs in industries, government and R & D organizations. The program provides a sound platform for undertaking higher studies such as doctoral research in any top ranked university across the globe.

Benefits

Students will develop an understanding of the concepts of manufacturing systems engineering, product and process development with an awareness of strategic management and operations.

The program helps students acquire manufacturing techniques and processes and its applications in manufacturing organizations.

Students completing the program may find job opportunities as design engineers, manufacturing engineers, production engineers, engineering managers, systems engineers, or research and development engineers in companies such as automotive, appliances manufacturing and discrete manufacturing intending to adopt advanced manufacturing technologies.

Eligibility

Minimum 60% or equivalent in the qualifying examination of Bachelor’s degree in Mechanical Engineering /Automobile Engineering/Production Engineering/ Industrial Engineering/ Manufacturing Engineering/ Mechatronics.

Program Structure

The two year program is organized into four semesters. Every student is required to take a minimum of 6 elective courses in the second and third semester. The elective courses are chosen in consultation with the thesis supervisor to match the student’s interest as well as his project requirements. The fourth semester is dedicated for the project work.

Year

Semester I

Semester II

 

 

I

Unified Approach to Manufacturing Systems Engineering Computer Based Simulation Methods & Applications
Manufacturing Processes Quality Engineering & Management
Engineering Economy Facilities Planning & Material Handling
Applied Statistics and Probability Elective I
Optimization Methods & Their Applications Elective II
Year Semester IV Semester IV
II Elective III

Project and Viva Voice
Elective IV
Elective V
Elective VI
Pre Project Study & Seminar
(Literature Survey and Project definition)


List of Electives

Advances in Industrial Systems Engineering, Flexible Manufacturing Systems, Industrial Robotics, Automation in Manufacturing, Manufacturing Strategy, Supply Chain Management, Project Management, Advances in Production and Inventory Control, Intelligent Manufacturing Systems, Advances in Manufacturing Technology, Sustainable Manufacturing Systems, Product Design & Development, Technology Management, Venture Management, Micro Electronic Mechanical Systems, Advances in Optimization Techniques, Advance Topics in Manufacturing System Engineering, Reliability Engineering & Management

Admission Modalities

The Admission Modalities are with reference to the campus-based PG Programs offered by IcfaiTech (ICFAI Tech School) of The ICFAI Foundation for Higher Education (IFHE), Hyderabad. The medium of instruction is English.

Admission Process

Admission into the M.Tech (Manufacturing Systems Engineering), M.Tech (VLSI) and M.Sc (Data Analytics) programs is common to all 3 PG Programs:

GATE Qualified candidates / IcfaiTech Master’s Entrance Exam (IMEE 2016).

Candidates who have Qualified in GATE (2014 onwards) need not write the IcfaiTech Master’s Entrance Exam 2016. They can directly appear for Interview.

IMEE 2016

IcfaiTech Master’s Entrance Examination (IMEE 2016) is an aptitude test conducted by IcfaiTech of IFHE for students seeking admission into the PG Programs of IcfaiTech. The test is of One hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

Personal Interview

Candidates based on the performance in GATE (from 2014 onwards) / IMEE 2016 will be called for Personal Interview at IcfaiTech, IFHE, Hyderabad on August 26, 2016.

Submission of Application Form

The completed Application Form should be sent / submitted at:
Coordinator, Post Graduate Programs (PGP),
ICFAI Tech School,
The ICFAI Foundation for Higher Education (IFHE),
Donthanpally, Shankarpally Rd, Hyderabad -501203,
Telangana State, India, Ph: 040-23479801
Email ID: pgprograms.fst@ifheindia.org
www.ifheindia.org

ADMISSION CALENDAR

Last Date for Submission of completed Application Form August 01, 2016
IcfaiTech Master’s Entrance Examination (IMEE 2016)* August 10, 2016
IMEE 2016 Results August 16, 2016
Dispatch of Interview Letters August 20, 2016
Personal Interview August 26, 2016
Issue of Admission Letters August 26, 2016 onwards
Payment of First Semester Fee on or before September 19, 2016
Reporting & Registration for First Semester September 19, 2016
Commencement of Classes Septemebr 19, 2016

* GATE Scores (from 2014 onwards) are accepted in place of IMEE 2016, and they can directly appear for Interview

Admission Fee

Selected candidates are required to pay an Admission Fee of Rs 20,000 on or before September 19, 2016.

Program Fee

The Program fee of Rs 2.50 lakhs is to be paid in four equal installments of Rs 62,500, payable at the begining of each semester.

Caution Deposit

A refundable Caution Deposit of Rs 10,000 is to be paid along with the 1st installment of the program fee. The Caution Deposit will be refunded without interest (after adjusting for dues, if any) on completion of the program.

Students are expected to have their own laptops at the time of reporting to IcfaiTech.

Remittance Details

All payments should be made by way of Demand Draft, drawn in favour of:

“IFHE-Fee Collection A/c M.Tech (2016)”, payable at Hyderabad, for M.Tech (MSE) & M.Tech (VLSI).
at Hyderabad, for M.Sc (Data Analytics).

Commencement of Classes

September 19, 2016.

Award of Degree

On successful completion of specified courses and projects, the candidates will be awarded the M.Tech / M.Sc Degree in respective disciplines by IFHE, a Deemed-to-be-University.

M.Sc - Data Analytics

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There is a growing demand across all industry sectors for graduates who are trained to analyze raw data and extract insights that can help businesses to plan strategically.

Data Analytics is used for many purposes, such as fraud detection, credit risk modeling, forecasting, developing pricing models, monitoring personal health, etc. For the past few years it has become an area of strategic importance nationally and internationally. The need for data analytics is due to the massive accumulation of “Big Data” in all industries to include but not limited to healthcare, finance, government (central, state, and local), and cyber defense.

In this context a new specialist program “MSc in Data Analytics” is conceived, designed and developed by the Faculty of ICFAI Tech School (ITS), IFHE, Hyderabad to meet the demand of new age Data Analysts.

Objectives

To develop professionals as data analysts and data scientists by equipping them with statistical applications and other computational methods and technology to handle big data

To incorporate analytical practices to extend the value of business intelligence and analytics far beyond traditional practices of handling data and unlocking the value residing in firms’ vast stores of data.

Highlights

The Program introduces the complete cycle of data analysis in business applications.

It deals with the Big Data Analysis which cannot fit in the computer’s memory and application of such analysis to various applications

Electives to specialize different data analytic techniques required for specific industries.

The industry-linked internship will provide an opportunity to analyze and provide solutions to today’s real-world data analytic problems.

Eligibility

Following graduates with 60% or above marks:
B.Tech / B.E. Graduates
BSc (Maths)/ BSc (Physics) / BSc (Statistics) / MCA
Other graduates are also eligible provided they
have a strong grounding in following areas:

Mathematics, Statistics, and Computer Programming at their 10+2 level. Such candidates are required to undergo a Foundation Course administered by us during the course of the Program.

Program Structure

The two year program is organized into four semesters. Every student is required to take a minimum of 6 elective courses in the second and third semester. The elective courses are chosen in consultation with the thesis supervisor to match the student’s interest as well as his project requirements. The fourth semester is dedicated for the project work.

Year

Semester I

Semester II

 

 

I

Databases & Information Retrieval Data Mining
Statistical Methods for Data AnalysisPredictive Analytics
Optimization and Heuristics Text Analytics
Java Programming Social Networks Analysis
Topics in Analytics with R Topics in Analytics with Python
Programming Lab Courses/ Project Courses - I Programming Lab Courses/ Project Courses - II
Year Semester IV Semester IV
II Data Visualization Internship Program in Industries/organizations where already Data Analytics is implemented
Analytics for Big Data
Data Warehousing
Elective I, II, III


Admission Modalities

The Admission Modalities are with reference to the campus-based PG Programs offered by IcfaiTech (ICFAI Tech School) of The ICFAI Foundation for Higher Education (IFHE), Hyderabad. The medium of instruction is English.

Admission Process

Admission into the M.Tech (Manufacturing Systems Engineering), M.Tech (VLSI) and M.Sc (Data Analytics) programs is common to all 3 PG Programs:

GATE Qualified candidates / IcfaiTech Master’s Entrance Exam (IMEE 2016).

Candidates who have Qualified in GATE (2014 onwards) need not write the IcfaiTech Master’s Entrance Exam 2016. They can directly appear for Interview.

IMEE 2016

IcfaiTech Master’s Entrance Examination (IMEE 2016) is an aptitude test conducted by IcfaiTech of IFHE for students seeking admission into the PG Programs of IcfaiTech. The test is of One hour duration. The question paper consists of 50 multiple choice questions with duration of 60 minutes.

Personal Interview

Candidates based on the performance in GATE (from 2014 onwards) / IMEE 2016 will be called for Personal Interview at IcfaiTech, IFHE, Hyderabad on August 26, 2016.

Submission of Application Form

The completed Application Form should be sent / submitted at:
Coordinator, Post Graduate Programs (PGP),
ICFAI Tech School,
The ICFAI Foundation for Higher Education (IFHE),
Donthanpally, Shankarpally Rd, Hyderabad -501203,
Telangana State, India, Ph: 040-23479801
Email ID: pgprograms.fst@ifheindia.org
www.ifheindia.org

ADMISSION CALENDAR

Last Date for Submission of completed Application Form August 01, 2016
IcfaiTech Master’s Entrance Examination (IMEE 2016)* August 10, 2016
IMEE 2016 Results August 16, 2016
Dispatch of Interview Letters August 20, 2016
Personal Interview August 26, 2016
Issue of Admission Letters August 26, 2016 onwards
Payment of First Semester Fee on or before September 19, 2016
Reporting & Registration for First Semester September 19, 2016
Commencement of Classes Septemebr 19, 2016

* GATE Scores (from 2014 onwards) are accepted in place of IMEE 2016, and they can directly appear for Interview

Admission Fee

Selected candidates are required to pay an Admission Fee of Rs 20,000 on or before September 19, 2016.

Program Fee

The Program fee of Rs 2.50 lakhs is to be paid in four equal installments of Rs 62,500, payable at the begining of each semester.

Caution Deposit

A refundable Caution Deposit of Rs 10,000 is to be paid along with the 1st installment of the program fee. The Caution Deposit will be refunded without interest (after adjusting for dues, if any) on completion of the program.

Students are expected to have their own laptops at the time of reporting to IcfaiTech.

Remittance Details

All payments should be made by way of Demand Draft, drawn in favour of:

“IFHE-Fee Collection A/c M.Sc (2016)”, payable at Hyderabad, for M.Sc (Data Analytics).

Commencement of Classes

September 19, 2016.

Award of Degree

On successful completion of specified courses and projects, the candidates will be awarded the M.Tech / M.Sc Degree in respective disciplines by IFHE, a Deemed-to-be-University.

Ph.D. Program in Basic Sciences (Full-time and Part-time)

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The ICFAI Tech School (ITS), offers Doctoral Programs in Chemistry, Mathematics and Physics. The program provides scholars with opportunities to undertake research in emerging areas of Chemistry, Mathematics and Physics.

Objectives of the Program

  • Acquire fundamental and in-depth knowledge in the chosen field of research.
  • Apply research methodologies to undertake contemporary research problems.
Program Outcome
On successful completion of the program, every scholar must be able to
  • Pursue innovative research in the chosen discipline/an interdisciplinary area.
  • Follow the principles of ethics in research and in academia.
  • Demonstrate, through service, the value of their discipline to the community at large.
Eligibility
M.Sc/M.Phil degree in Chemistry/Mathematics/Physics from a recognized Indian University or its equivalent degree from a Foreign University recognized by UGC/AIU, with a minimum of 60% marks or CGPA of 6.0.

The following candidates who satisfy the eligibility criteria are eligible for admission into part time Ph.D. Program:
  • Candidates sponsored by recognized R & D organization / Industries with a minimum of three years work experience
  • College teachers with a minimum of three years teaching experience
Candidates seeking admission as part time research scholars have to submit no objection certificate from the employer to pursue Ph.D. They should also submit permission letters from their employers to attend Ph.D. course work conducted in two spells in the first year of the program.

Admission Process

Admission shall be through an entrance test and an interview.
The following category of students are exempt from entrance test:
  • Candidates who have qualified for UGC/CSIR-JRF.
  • Candidates who have completed M.Phil, provided the M.Phil admission was based on an entrance test.

Areas of Research

Chemistry

Analytical chemistry, coordination chemistry

Mathematics

Number theory, Boolean Algebra, Fluid Dynamics

Physics

Mathematical Physics, Non-Linear Dynamics, Experimental Computational Condensed Matter Physics

Fee for Ph.D. Program

The selected candidates have to pay an Admission fee of Rs 40,000. The Program fee is Rs 60,000 per Semester. The Program fee is provided as financial assistance and is waived for full time research scholars, subject to meeting minimum academic requirements as specified by ITS.
A refundable Caution Deposit of Rs 10,000 is to be paid along with the admission fee. The Caution Deposit will be refunded without interest (after adjusting for dues, if any) on completion of the program.

Fellowship

Full time Ph.D. scholars who do not receive any other fellowship, will be awarded the University fellowship of Rs 25,000 per month, from the date of admission, up to a period of four years that include one year of course work plus three years of thesis work. Continuation of scholarship is subject to satisfactory research progress shown by the scholar. A professional development grant of Rs 20,000 per annum is also given to full-time research students for the four years.

Part-time students are not eligible for Institute scholarship.

In the event, the student withdraws from the program, the student is liable to refund the fellowship and the program fee provided as financial assistance by ITS. To this end, the student is required to execute a financial assistance agreement along with a guarantor for the financial assistance provided by ITS and submit the same on the day of registration.

Program duration

The duration of Ph.D. program is a minimum period of four years to a maximum period of eight years from the date of registration. All full-time students admitted into the Ph.D. program must successfully complete the preparatory course work of two semesters duration before registration.

Part-time students must complete Ph.D. course work conducted in two spells in the first year of the program before registration.

Extension beyond the above limits or early submissions (before 4 years) will be governed by the decision of the competent authority and ratification by the Academic Council.

Course work structure

Course structure Download

Pattern of Ph.D. Entrance Test

The pattern for the entrance examination will be as given below:-
  • The exam will be for duration of two hours and shall carry a maximum of 200 marks.
  • The question paper will be divided into two parts of 100 marks each.
Part-A shall be common to all subjects. There will be one precis writing followed by MCQs on basic Chemistry, Mathematics, Physics and awareness on Computers.

Part-B shall contain MCQs on the subject studied at the Masters level. There will be no negative marking for wrong answers.

ANNEXURE-II
SYLLABUS FOR ENTRANCE TEST
Part-A
1. B.Sc. level knowledge of Chemistry, Mathematics, Physics.
2. Awareness on computers covering basic definitions and abbreviations, basic Organization of Computer system, history of Modern Computer, parts of Computer, difference between Hardware and Software, difference between Input and Output Device, MS Office etc.

Part-B
Chemistry
I. Physical Chemistry
1. Basic principles and applications of quantum mechanics – hydrogen atom, angular momentum.
2. Variational and perturbational methods.
3. Basics of atomic structure, electronic configuration, shapes of orbitals, hydrogen atom spectra.
4. Theoretical treatment of atomic structures and chemical bonding.
5. Chemical applications of group theory.
6. Basic principles and application of spectroscopy – rotational, vibrational, electronic, Raman, ESR, NMR.
7. Chemical thermodynamics.
8. Phase equilibria.
9. Statistical thermodynamics.
10. Chemical equilibria.
11. Electrochemistry – Nernst equation, electrode kinetics, electrical double layer, Debye-Hückel theory.
12. Chemical kinetics – empirical rate laws, Arrhenius equation, theories of reaction rates, determination of reaction mechanisms, experimental techniques for fast reactions.
13. Concepts of catalysis.
14. Polymer chemistry. Molecular weights and their determinations. Kinetics of chain polymerization.
15. Solids - structural classification of binary and ternary compounds, diffraction techniques, bonding, thermal, electrical and magnetic properties
16. Colloids and surface phenomena.
17. Data analysis.

II. Inorganic Chemistry
1. Chemical periodicity
2. Structure and bonding in homo- and heteronuclear molecules, including shapes of molecules.
3. Concepts of acids and bases.
4. Chemistry of the main group elements and their compounds. Allotropy, synthesis, bonding and structure.
5. Chemistry of transition elements and coordination compounds – bonding theories, spectral and magnetic properties, reaction mechanisms.
6. Inner transition elements – spectral and magnetic properties, analytical applications.
7. Organometallic compounds - synthesis, bonding and structure, and reactivity. Organometallics in homogenous catalysis.
8. Cages and metal clusters.
9. Analytical chemistry- separation techniques. Spectroscopic electro- and thermoanalytical methods.
10. Bioinorganic chemistry – photosystems, porphyrines, metalloenzymes, oxygen transport, electron- transfer reactions, nitrogen fixation.
11. Physical characterisation of inorganic compounds by IR, Raman, NMR, EPR, Mössbauer, UV-, NQR, MS, electron spectroscopy and microscopic techniques.
12. Nuclear chemistry – nuclear reactions, fission and fusion, radio-analytical techniques and activation analysis.

III. Organic Chemistry
1. IUPAC nomenclature of organic compounds.
2. Principles of stereochemistry, conformational analysis, isomerism and chirality.
3. Reactive intermediates and organic reaction mechanisms.
4. Concepts of aromaticity.
5. Pericyclic reactions.
6. Named reactions.
7. Transformations and rearrangements.
8. Principles and applications of organic photochemistry. Free radical reactions.
9. Reactions involving nucleophotic carbon intermediates.
10 . Oxidation and reduction of functional groups.
11. Common reagents (organic, inorganic and organometallic) in organic synthesis.
12. Chemistry of natural products such as steroids, alkaloids, terpenes, peptides, carbohydrates, nucleic acids and lipids.
13. Selective organic transformations – chemo-selectivity, region-selectivity, stereo-selectivity, enantio-selectivity. Protecting groups.
14. Chemistry of aromatic and aliphatic heterocyclic compounds.
15. Physical characterisation of organic compounds by IR, UV-, MS, and NMR.

IV. Interdisciplinary topics
1. Chemistry in nano-science and technology.
2. Catalysis and green chemistry.
3. Medicinal chemistry.
4. Supramolecular chemistry.
5. Environmental chemistry.

Mathematics
I. Analysis: Elementary set theory, finite, countable and uncountable sets, Real number system as a complete ordered field, Archimedean property, supremum, infimum. Sequences and series, convergence, limsup, liminf. Bolzano Weierstrass theorem, Heine Borel theorem. Continuity, uniform continuity, differentiability, mean value theorem. Sequences and series of functions, uniform convergence. Riemann sums and Riemann integral, Improper Integrals. Monotonic functions, types of discontinuity, functions of bounded variation, Lebesgue measure, Lebesgue integral. Functions of several variables, directional derivative, partial derivative, derivative as a linear transformation. Metric spaces, compactness, connectedness. Normed Linear Spaces. Spaces of Continuous functions as examples.

Linear Algebra: Vector spaces, subspaces, linear dependence, basis, dimension, algebra of linear transformations. Algebra of matrices, rank and determinant of matrices, linear equations. Eigenvalues and eigenvectors, Cayley-Hamilton theorem. Matrix representation of linear transformations. Change of basis, canonical forms, diagonal forms, triangular forms, Jordan forms. Inner product spaces, orthonormal basis. Quadratic forms, reduction and classification of quadratic forms.

II. Complex Analysis:
Algebra of complex numbers, the complex plane, polynomials, Power series, transcendental functions such as exponential, trigonometric and hyperbolic functions. Analytic functions, Cauchy-Riemann equations. Contour integral, Cauchy’s theorem, Cauchy’s integral formula, Liouville’s theorem, Maximum modulus principle, Schwarz lemma, Open mapping theorem. Taylor series, Laurent series, calculus of residues. Conformal mappings, Mobius transformations.

Algebra: Permutations, combinations, pigeon-hole principle, inclusion-exclusion principle, derangements. Fundamental theorem of arithmetic, divisibility in Z, congruences, Chinese Remainder Theorem, Euler’s Ø- function, primitive roots. Groups, subgroups, normal subgroups, quotient groups, homomorphisms, cyclic groups, permutation groups, Cayley’s theorem, class equations, Sylow theorems. Rings, ideals, prime and maximal ideals, quotient rings, unique factorization domain, principal ideal domain, Euclidean domain. Polynomial rings and irreducibility criteria. Fields, finite fields, field extensions.

III. Ordinary Differential Equations (ODEs):
Existence and Uniqueness of solutions of initial value problems for first order ordinary differential equations, singular solutions of first order ODEs, system of first order ODEs. General theory of homogenous and non-homogeneous linear ODEs, variation of parameters, Sturm-Liouville boundary value problem, Green’s function. Partial Differential Equations (PDEs): Lagrange and Charpit methods for solving first order PDEs, Cauchy problem for first order PDEs. Classification of second order PDEs, General solution of higher order PDEs with constant coefficients, Method of separation of variables for Laplace, Heat and Wave equations.

Numerical Analysis : Numerical solutions of algebraic equations, Method of iteration and Newton-Raphson method, Rate of convergence, Solution of systems of linear algebraic equations using Gauss elimination and Gauss-Seidel methods, Finite differences, Lagrange, Hermite and spline interpolation, Numerical differentiation and integration, Numerical solutions of ODEs using Picard, Euler, modified Euler and Runge-Kutta methods.

Calculus of Variations: Variation of a functional, Euler-Lagrange equation, Necessary and sufficient conditions for extrema. Variational methods for boundary value problems in ordinary and partial differential equations.

Linear Integral Equations: Linear integral equation of the first and second kind of Fredholm and Volterra type, Solutions with separable kernels. Characteristic numbers and eigenfunctions, resolvent kernel

Classical Mechanics: Generalized coordinates, Lagrange’s equations, Hamilton’s canonical equations, Hamilton’s principle and principle of least action, Two-dimensional motion of rigid bodies, Euler’s dynamical equations for the motion of a rigid body about an axis, theory of small oscillations.

IV. Descriptive statistics, exploratory data analysis:
Sample space, discrete probability, independent events, Bayes theorem. Random variables and distribution functions (univariate and multivariate); expectation and moments. Independent random variables, marginal and conditional distributions. Characteristic functions. Probability inequalities (Tchebyshef, Markov, Jensen). Modes of convergence, weak and strong laws of large numbers, Central Limit theorems (i.i.d. case). Markov chains with finite and countable state space, classification of states, limiting behaviour of n-step transition probabilities, stationary distribution. Standard discrete and continuous univariate distributions. Sampling distributions. Standard errors and asymptotic distributions, distribution of order statistics and range. Methods of estimation. Properties of estimators. Confidence intervals. Tests of hypotheses: most powerful and uniformly most powerful tests, Likelihood ratio tests. Analysis of discrete data and chi-square test of goodness of fit. Large sample tests. Simple nonparametric tests for one and two sample problems, rank correlation and test for independence. Elementary Bayesian inference. Gauss-Markov models, estimability of parameters, Best linear unbiased estimators, tests for linear hypotheses and confidence intervals. Analysis of variance and covariance. Fixed, random and mixed effects models. Simple and multiple linear regression. Elementary regression diagnostics. Logistic regression. Multivariate normal distribution, Wishart distribution and their properties. Distribution of quadratic forms. Inference for parameters, partial and multiple correlation coefficients and related tests. Data reduction techniques: Principle component analysis, Discriminant analysis, Cluster analysis, Canonical correlation. Simple random sampling, stratified sampling and systematic sampling. Probability proportional to size sampling. Ratio and regression methods. Completely randomized, randomized blocks and Latin-square designs. Connected, complete and orthogonal block designs, BIBD. 2K factorial experiments: confounding and construction. Series and parallel systems, hazard function and failure rates, censoring and life testing. Linear programming problem. Simplex methods, duality. Elementary queuing and inventory models. Steady-state solutions of Markovian queuing models: M/M/1, M/M/1 with limited waiting space, M/M/C, M/M/C with limited waiting space, M/G/1.

Physics

I. Mathematical Methods of Physics
Dimensional analysis. Vector algebra and vector calculus. Linear algebra, matrices, Cayley-Hamilton Theorem. Eigenvalues and eigenvectors. Linear ordinary differential equations of first & second order, Special functions (Hermite, Bessel, Laguerre and Legendre functions). Fourier series, Fourier and Laplace transforms. Elements of complex analysis, analytic functions; Taylor & Laurent series; poles, residues and evaluation of integrals. Elementary probability theory, random variables, binomial, Poisson and normal distributions. Central limit theorem.

II. Classical Mechanics
Newton’s laws. Dynamical systems, Phase space dynamics, stability analysis. Central force motions. Two body Collisions - scattering in laboratory and Centre of mass frames. Rigid body dynamicsmoment of inertia tensor. Non-inertial frames and pseudoforces. Variational principle. Generalized coordinates. Lagrangian and Hamiltonian formalism and equations of motion. Conservation laws and cyclic coordinates. Periodic motion: small oscillations, normal modes. Special theory of relativityLorentz transformations, relativistic kinematics and mass–energy equivalence.

III. Electromagnetic Theory Electrostatics
Gauss’s law and its applications, Laplace and Poisson equations, boundary value problems. Magnetostatics: Biot-Savart law, Ampere's theorem. Electromagnetic induction. Maxwell's equations in free space and linear isotropic media; boundary conditions on the fields at interfaces. Scalar and vector potentials, gauge invariance. Electromagnetic waves in free space. Dielectrics and conductors. Reflection and refraction, polarization, Fresnel’s law, interference, coherence, and diffraction. Dynamics of charged particles in static and uniform electromagnetic fields.

IV. Quantum Mechanics
Wave-particle duality. Schrödinger equation (time-dependent and time-independent). Eigenvalue problems (particle in a box, harmonic oscillator, etc.). Tunneling through a barrier. Wave-function in coordinate and momentum representations. Commutators and Heisenberg uncertainty principle. Dirac notation for state vectors. Motion in a central potential: orbital angular momentum, angular momentum algebra, spin, addition of angular momenta; Hydrogen atom. Stern-Gerlach experiment. Timeindependent perturbation theory and applications. Variational method. Time dependent perturbation theory and Fermi's golden rule, selection rules. Identical particles, Pauli exclusion principle, spin-statistics connection.

V. Thermodynamic and Statistical Physics
Laws of thermodynamics and their consequences. Thermodynamic potentials, Maxwell relations, chemical potential, phase equilibria. Phase space, micro- and macro-states. Micro-canonical, canonical and grand-canonical ensembles and partition functions. Free energy and its connection with thermodynamic quantities. Classical and quantum statistics. Ideal Bose and Fermi gases. Principle of detailed balance. Blackbody radiation and Planck's distribution law.

VI. Electronics and Experimental Methods
Semiconductor devices (diodes, junctions, transistors, field effect devices, homo- and hetero-junction devices), device structure, device characteristics, frequency dependence and applications. Opto-electronic devices (solar cells, photo-detectors, LEDs). Operational amplifiers and their applications. Digital techniques and applications (registers, counters, comparators and similar circuits). A/D and D/A converters. Microprocessor and microcontroller basics. Data interpretation and analysis. Precision and accuracy. Error analysis, propagation of errors. Least squares fitting.

VII. Condensed Matter Physics
Bravais lattices. Reciprocal lattice. Diffraction and the structure factor. Bonding of solids. Elastic properties, phonons, lattice specific heat. Free electron theory and electronic specific heat. Response and relaxation phenomena. Drude model of electrical and thermal conductivity. Hall effect and thermoelectric power. Electron motion in a periodic potential, band theory of solids: metals, insulators and semiconductors. Superconductivity: type-I and type-II superconductors. Josephson junctions. Superfluidity. Defects and dislocations. Ordered phases of matter: translational and orientational order, kinds of liquid crystalline order. Quasi crystals.

Ph.D. Admission Interview

Candidates who have qualified in the Ph.D. eligibility test shall be called for Ph.D. Admission Interview. After the Ph.D. Admission Interview the list of eligible candidates for registration for full time and part time Ph.D. program will be finalized.

Admission Calendar

Last Date for Submission of completed Application Form

30th June, 2017

Eligibility / Admission Test

10th July, 2017

Results

14th July, 2017

Personal Interviews

21st, 22nd July, 2017

Reporting and Registration

7th August, 2017

Commencement of Program

8th August, 2017



For more information, contact:
Coordinator, Ph.D. Program, ITS
cell:9949168287