Basics of Computer Applications Syllabus for VTU BE/B.Tech Biotechnology Engineering third sem complete syllabus covered here. This will help you understand complete curriculum along with details such as exam marks and duration. The details are as follows.
| Subject Code | 15BT36 | IA Marks | 20 |
|---|---|---|---|
| Number of Lecture Hours/Week | 04 | Exam Marks | 80 |
| Total Number of Lecture Hours | 50 | Exam Hours | 3 |
Course objectives: This course will enable students
- To gain knowledge about the different languages
- To gain the functioning and understanding the usage of internet, use of HTML in web-based designing
- To learn and implement different languages in biological applications
- To use of ontology for effective representation of data
| MODULES | TEACHING HOURS | REVISED BLOOM’S TAXONOMY (RBT) LEVEL |
|---|---|---|
| Module -1 | _ | |
| LINUX & XML : Introduction to Linux, basic commands, working with files, file attributes, installing programs using rpm, working with basic editors sed, awk and vi, using the shell, pipes, wildcards, checking processes, killing processes, basic decision making statements: if…then…. else…if – test – while…do…done – until…do…done – for…in..Do…done – case…in…esac – select…in…do., basic regular expressions, using grep command, string search applications using regular expressions. Structured and unstructured data, XML fundamentals, XML documents and XML files, elements and character tags, attributes, XML names, CDATA sections, XML declarations, DTD, element declarations, attribute declarations, namespaces, programming applications of XML; General features of NCBI’s Molecular biology data model, BioXML, NeuroML, Chemical Markup Languages (CML), Microarray ML(MAML), RiboML and SBML. | 10 Hours | L1,L2 |
| Module -2 | _ | |
| 10 Hours | L1, L2,L3 | |
| Module -3 | _ | |
| ONTOLOGIES and MATLAB Overview of ontologies, gene ontologies, Open biological ontologies (OBO) and its applications, TAMBIS ontology, cell cycle ontology, GeneX ontology. Building ontology, ontology development tools (protégé 2000, GKB editor, OilEd), Ontology integration of bioontologies. Different types of data formats (CSV and tabbed formats for general file representation, data cleaning, flat file) Introduction to MATLAB, features of MATLAB toolbox, Usage of MATLAB towards bio statistical and biochemical applications. Modeling of biochemical and biotechnological systems using MATLAB scientific computing environment. | 10 Hours | L1, L2, L3 |
| Module -4 | _ | |
| C++ CONCEPTS AND BIOPERL Overview of C programming concepts, Variables, Operators, Statements, Functions and Pointers. Introduction to Classes, Objects, C++ string classes, Introduction to OOPs concepts with respect to C++ (Encapsulation, polymorphism, Inheritance, Abstraction, Dynamic binding), data types, Arrays. Introduction to basic concepts of Bioperl. | 10 Hours | L1, L2, L3, L4 |
| Module -5 | _ | |
| APPLICATIONS OF C AND C++ IN BIOTECHNOLOGY Writing a C program using numerical analysis technique towards solving the differential equations to biotechnology (such as finding the thermal death kinetics of microorganisms, holding time for sterilization, estimating the length of the lag phase, calculation of specific growth rate, doubling time, and substrate-to-cell yield coefficient, etc.). Write a C++ Program to find the optimum pH and temperature for maximum enzyme activity, to derive the column height needed to achieve the specified degree of conversion in a fluidized-bed biofilm reactor, to find the optimal dilution rate for maximum cell productivity, etc. Usage of NCBI’s C++ tool kit to demonstrate certain features of sequence analysis. | 10 Hours | L1-L6 |
Course outcomes: After studying this course, students will be able to:
- Understand C- language with updated tool usage.
- Apply the basic concepts of MATLAB, Internet.
- Use the software with special reference to biotechnological applications.
Graduate Attributes (as per NBA):
- Computational Knowledge.
- Problem Analysis.
- Conduct investigations of complex computing problems
- Design / development of solutions.
Question paper pattern:
- The question paper will have ten questions.
- Each full question consists of 16 marks.
- There will be 2 full questions (with a maximum of four sub questions) from each module.
- Each full question will have sub questions covering all the topics under a module.
- The students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Linux: the complete reference by Richard Peterson, McGraw Hill.
- Internet: The complete reference by Margaret Levine Young, Tata McGraw Hill.
- C Programming by E Balaguruswamy, Tata McGraw Hill.
- HTML and XML for beginners by Michael Morrison, Microsoft Press.
- A study in Ontology by Peter Simons, Oxford Press.
- Essential MATLAB for Scientists and Engineers by Arnold, Wiley, NY.
- Beginning Perl for Bioinformatics by James Tisdall “O’Reilly Media, Inc”.
Reference Books:
- SAMS teach SQL in 10mins by Ben Forta, Williams Publishing.
- Beginning XML by David Hunter, Wrox Press.
- Introducing UNIX and LINUX by Mike Joy, Palgrave Macmillan.
- SQL Simplified: Learn to read and write SQL by Cecelia. L. Allison, Jones and Bartlett.
- SQL queries for mere mortals: A hands-on guide to data manipulation in SQL by Michael J. Hernandez and John. L. Viescas, Addison Wesley.
For all other BE/B.Tech 3rd Sem Subject syllabus do follow VTU 3rd Sem BE / B.Tech Syllabus CBCS (2015-16) Scheme for Biotechnology syllabus Group.
For more information about all VTU updates please stay connected to us on FB and don’t hesitate to ask any questions in the comment.