M.Tech Dairy Technology Syllabus

Will you please provide here Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHIATS) M.Tech (Dairy Technology) course syllabus???

[Arun Vats]

Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHIATS) M.Tech (Dairy Technology) course syllabus is as here:


M.Tech (Dairy Technology)

1st SEM
Advanced Engineering Mathematics
Statistics- I
Computer Programming
Dairy Chemistry and Microbiology

2nd SEM
Statistics –II
Dairy Plant Management
Advances in Dairy Processing-I
Dairy Equipment Design & Plant Layout
Dairy Plant Instrumentation & Process Control
(Elective)
Food Plant Design (Elective)

3rd SEM
Quality Assurance in Dairy Industry (Elective)
Advances in Dairy Processing – II
Steam & Refrigeration Engineering
Food Process Equipment Design (Elective)
Seminar- I

SEMESTER - IV
Course Code Course Title L-T-P Credits
DT-880 Seminar- II
DT- 899 Dissertatio

SYLLABUS OF MASTERS OF TECHNOLOGY
IN DAIRY TECHNOLOGY
I SEMESTER
MAS-701 ADVANCED ENGINEERING MATHEMATICS
(3-1-2) 4 Credits
Gamma, Beta and Legendre’s functions, Euler’s equations, Lang-range equations, the Rix
method, the Green’s functions. Solzane Woirestrass theorem in finite products.
Laplace transforms, Inverse Laplace Transforms, and application to differential
equations. Fourier series, Fourier transforms, Solution of non-linear algebraic and
transcendental equation by Regula falsi method. Newton Raphson method.
Newton’s forward and backward interpolation formula divided differences. Trapezoidal
Rule, Simpson’s 1/3 rule, Numerical Solution of Ordinary differential equations by Runge
Kutta Method, Picard’s equations.

Credit
Standard Deviation, Coefficient of variation, standard error of mean.
Theory of Probability: equally likely, mutually exclusive events, definition of probability,
addition & multiplication theorems of probability & problems on theorems of probability
& problems based on them.
Normal & Binomial Distributions.
Simple correlation and regression, Multiple- regression, Multiple & partial –correlation.
Testing of Hypothesis: Concepts of Hypothesis, Degrees of freedom, Level of
significance, Type I & Type II errors. X2, t, F- tests (definition, applications & problems
based on these tests)

COMP 805 COMPUTER PROGRAMMING (2-0-2) 3
Credits
1. Algorithms & Flow Charts
2. ‘C’ Programming
(i) Preliminaries
(ii) Constants & Variables
(iii) Arithmetic Expressions
(iv) Input – Output statements
(v) Control Statement
(vi) Looping Statements
(vii) Subscripted Variables
(viii) Elementary Format Specifications
(ix) Logical statements & Decision tables
(x) Functions & Subroutines

3. Computer oriented numerical methods
(a) Solution of Non- Linear Equation
(i) Bisection Method
(ii) Newton Method
(b) Numerical integration
(i) Trapezoidal Method
(ii) Simpson’s 1/3 & 3/8 rule
(c) Curve Fitting
(i) Construction of forward, backward difference table
(ii) Interpolation
4. Application of statistical packages

Practical List
1. To find the largest among three numbers.
2. To check whether a given string is a palindrome or not
3. To find factorial of a given number by iteration
4. To find whether the given integer is a prime number.
5. To find sum n terms of series: a.n*2/2!+n*3/3!-n*4/4! + ………..
6. To find the sum and average of n integers using a linear array.
7. To read n umbers from the keyboard and display these numbers in the reverse
order their entry.
8. To search a given number within a linear array.
9. To generate the fibbonacci series.
10. To find factorial of a given number using a function.
11. To deduce error involved in polynomial equation.
12. To find out the root of the Algebraic and Transendal equations using Bisection,
regula-falsi, Newton Raphson and Ilterative methods. Also give the rate of
convergence of roots in tabular form for each these methods.
13. To implement Newton’s forward and backward Interpolation formula
14. To implement gauss forward and backward, bessel’s Sterling and Evertt’s
Interpolation formula
15. To implement Newton’s Divided difference and Lang ranges Interpolation
formula.
16. To implement numerical differentiations.
17. To implement Numerical integration using trapezoidal, simpson 1/3 and simpson
3/8 rule.
18. To implement least square method for curve fitting.

DT- 810 DAIRY CHEMISTRY & MICROBIOLOGY 2-0-2 = 3
Credit
Chemistry and Metabolic functions of different milk products, compositions and
properties of milk and milk products, Effect of processing on various constituents of milk
in relation to physical, chemical and functional properties, chemical spoilage of milk;
processing and waste treatments.

Introduction to milk micro-organisms. Effect of processing on milk micro- organisms
Vis-a-vis milk preservation. Physical and Chemical factor’s affecting microbial growth
and decay.

Instrumental measurements of colour, viscosity tenderness, specific gravity, size and size
distribution, firmness, texture etc. of various milk products. Analysis of major
constituents, such as moisture, fat, protein and carbohydrates of milk and milk products,
pH and acidity measurements.

Use of common bacteriological apparatus and equipment and their cases, cleaning of
glassware and preparation for sterilization. Preparation of smears and staining.
Preparation of nutrients, Broth and nutrient agar; estimation of bacteria by Agar plate.
Method and Direct Microscopic count; microbial analysis or drinking water.

For detailed syllabus here is attachment: