B. Tech Food Technology and Management 9 Objectives : Course Contents : Unit – 1 Unit - 2 Unit - 3 Unit - 4 Unit – 5 1. Understand concepts of statistical measures of central tendency, dispersion, variability and probability. 2. To apply statistical tests for data analysis and to interpret results of statistical analysis of data. Theory : Measures of central tendency- Average, Mean, Mode, Median, Standard Deviation, Measures of dispersion coefficient of variation skewness, standard error of mean. Simple correlation and regression, Multiple-regression, Multiple & partial–correlation /variability- range, variance, standard deviation, standard error. 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. Testing of Hypothesis: Concepts of Hypothesis, Degrees of freedom, Level of significance, Type I & Type II errors. Chi square 2 (X ,), Student - t test, F- tests (definition, applications & problems based on these tests). SND test when population's SD is known and SD is unknown Analysis of variance (ANOVA) techniques, Definitions and assumptions, One way classification, two way classification with more than one observation per cell. Designs of experiment, principles of experimental design, randomized block design (R.B.D), Latin square design (L.S.D.), missing plot technique in R.B.D. and L.S.D., critical difference (C.D.), split plot design. Factorial experiment 2 x 2 x 3 and 3 x 2, factorial design (Yates method of analysis) 2 x 3 & 2x 4 factorials, Durcan's multiple range test, Newman's kuel test. Sampling techniques, simple random sampling, stratified random sampling and systematic sampling. Data Management Analysis: Data Analysis- Coding of data DMCA 201 Statistics and Data Analysis (2+1+0 = 3 Credits) Parametric and non-parametric tests Use of statistical tools. Quantitative analysis, descriptive statistics, inferential statistics : Uses and limitations statistics : Uses and limitations Summation sign and its properties Summation sign and its properties. Grouped data-frequency distribution, histogram, frequency polygons, percentiles, quartiles, tertiles, ogive. Tabulation and Organization of data frequency distributions, cumulative frequency distribution, contingency tables Graphical presentation of data- histogram, frequency polygon, ogive, stem and leaf plot, box and whiskers plot, Graphs for nominal and ordinal data- pie diagram, bar graphs of different types, graphs for relation between two variables, line diagram. 1. Statistical Methods for Biological Workers-Pillai and Sinha HC 1968. Ram Prasad and Sons, Agra. 2. Statistical Methods – Snedecor GW and Cochran W 1968. Oxford & IBM Publishing Cop. New Delhi 3. Hand Book of Agricultural Statistics – Chandel SRS 1972. Anchal Prakashan Mandir, Kanpur. 4. Statistics for Agricultural Sciences – Nageshwara Rao G 1983. Oxford & IBH Publishing Co., New Delhi. 5. Statistical Procedure of Agricultural Research – Gomez K A and Gomez AA 1995. John Wiley & Sons, New York and Singapore. 1. To enable learner to control mechanical systems and analyze and interpret data, and effectively which can help the food processing Industry. 2. To have the ability to recognize engineering problems and design a mechanical engineering system or component to meet desired needs of the industry. Theory : Force systems: Moment of a force about a point and about an axis; couple moment; reduction of a force system to a force and a couple. Suggested Readings : Objectives : Course Contents : Unit -1 DENG 202 Mechanical Engineering (2+1+2 = 4 Credits) SEMESTER - II SEMESTER - II
4
Embed
B. Tech Food Technology and Management SEMESTER - II
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
B. Tech Food Technology and Management
9
Objectives :
Course Contents :
Unit – 1
Unit - 2
Unit - 3
Unit - 4
Unit – 5
1. Understand concepts of statistical measures of central
tendency, dispersion, variability and probability.
2. To apply statistical tests for data analysis and to interpret results
of statistical analysis of data.
Theory :
Measures of central tendency- Average, Mean, Mode, Median,
Standard Deviation, Measures of dispersion coefficient of variation
skewness, standard error of mean. Simple correlation and
Drilling and Screwing. Use of jigs and fixtures in
production.
Simple exercise on: (a) Lathe (b) Milling machine (c)
Shaper & planner (d) Drilling and boring machines (e)
Grinder.
1. Elements of Workshop Technology (Vol. I and II) -
Hazra Choudari S. K. and Bose S. K. 1982. Media
Promoters and Publishers Pvt. Ltd., Mumbai.
2. Workshop Technology (Part I and II) - Chapman
W.A.J. 1989. Arnold Publishers (India) Pvt. Ltd.,
AB/9 Safdarjung Enclave, New Delhi.
3. A. Course in Workshop Technology (Vol I and II) -
Raghuwamsi B.S. 1996. Dhanpat Rai and Sons,
1682, Sarak, New Delhi.
4. M. L. Begeman and B. H. Amstead, Manufacturing
Process, John Wiley.
5. W.A.J. Chapman and E. Arnold, Workshop
Technology Vol. I & II, Viva Low Priced Student Ed.
Objectives :
Course Contents :
Unit-1
Unit-2
Unit-3
Unit-4
Unit-5
Suggested Readings :
Practicals :1. Practising of square plate2. Preparation of a circular disc3. Preparation of square joint4. Preparation dove tail joint5. Butt welding of two pieces6. Simple exercise on Arc welding7. Simple exercise on Gas welding8. Simple exercise on Argon welding 9. Simple exercise on Soldering10. Simple exercise on Tapping11. Simple exercise on Brazing12. Preparation of T- joint in carpentry13. Preparation of Mortise and tenon joint in carpentry
1. To study the biological molecules.
2. To Understanding biological information and its