databases etc. literature students from Food search database; primer technology stream will designing software; be able to understand the restriction mapping basic tools of software; LpG: proteomics bioinformatics and be able to utilise public databases like NCBI and protein databases etc. 2. Application of Statistics, 10 05 CO 2: Students will be PO1 bioinformatics and able to understand the PO12 experimental design to basics of biostatistics PO13 biotech processes: which can be applied to Sampling procedures, design their experiments populations; types of data, and interpret the data in a data organization and more meaningful way. presentation. Correlation and Regression, linear and quadratic regression Analysis of variance. Correlation coefficient; regression analysis; multivariate analysis; principal component analysis. 3. Probability. Probability 10 05 CO 3: Students will be PO1 distribution. Testing of able develop an PO12 hypothesis. Bioinformatics understanding about PO13 for data processing and probability and other presentation. Experimental bioinformatics tools and design and factorial design. be able to understand Concepts and use of how to utilise these tools software. RSM and ANN to simulate best possible techniques for optimization combinations during of fermentative processes. experimentation. contact hours 30 15 Books Recommended 1. Bioinformatics: Application in biological sciences by Rashidi, Hooman. 2. Emerging trends in bioinformatics, Khan Irfan, 2002 3. Bioinformatics, Concepts, Skills and Application-2003, Rastogi 4. of course: Food Standards and Safety Regulations (Elective theory course) (50 marks, 3 credits, 2L + 1T per week) Prerequisites: general understanding of food quality and safety as well as food product composition,, food additives, food ingredients
databases etc. literature search database; primer designing software; restriction mapping software; LpG: proteomics students from Food technology stream will be able to understand the basic tools of bioinformatics and be able to utilise public databases like NCBI and protein databases etc. 2. Application of Statistics, bioinformatics and experimental design to biotech processes: Sampling procedures, populations; types of data, data organization and presentation. Correlation and Regression, linear and quadratic regression Analysis of variance. Correlation coefficient; regression analysis; multivariate analysis; principal component analysis. 10 05 CO 2: Students will be able to understand the basics of biostatistics which can be applied to design their experiments and interpret the data in a more meaningful way. PO1 PO12 PO13 3. Probability. Probability distribution. Testing of hypothesis. Bioinformatics for data processing and presentation. Experimental design and factorial design. Concepts and use of software. RSM and ANN techniques for optimization of fermentative processes. 10 05 CO 3: Students will be able develop an understanding about probability and other bioinformatics tools and be able to understand how to utilise these tools to simulate best possible combinations during experimentation. PO1 PO12 PO13 contact hours 30 15 Books Recommended 1. Bioinformatics: Application in biological sciences by Rashidi, Hooman. 2. Emerging trends in bioinformatics, Khan Irfan, 2002 3. Bioinformatics, Concepts, Skills and Application-2003, Rastogi 4. of course: Food Standards and Safety Regulations (Elective theory course) (50 marks, 3 credits, 2L + 1T per week) Prerequisites: general understanding of food quality and safety as well as food product composition,, food additives, food ingredients
M_Tech_FBT_Course_Syllabi.docx