Introduction IoT - Course Handout.pptx

Introduction Internet of Things (BETCK105H) - Course Handout

1. Biology for Computer Engineers BBOC407 by Dr. Deepak S Sakkari Dept. of CS&E

2. Operating Systems – 21CS44 Academic Year : 2023-24 Course Name : Biology for Computer Engineer Semester : IV Course Code : BBOC407 Scheme : 2022 Total Contact hours : 25 L: T: P: C : 2: 0: 0: 0 Course Plan Author : Dr. Deepak S Sakkari CIE Marks : 50 SEE Marks : 50 Date : 23/04/2024 Total Marks : 100

3. Biology for Computer Engineers – BBOC407 Course Prerequisites: Basic Concepts of Biomolecules and its composition Basic concepts of Human organs and its functions Knowledge of cell biology Learning Objectives: To familiarize the students with the basic biological concepts and their engineering applications. To enable the students with an understanding of bio design principles to create novel devices and structures. To provide the students an appreciation of how biological systems can be re-designed as substitute products for natural systems. To motivate the students, develop the interdisciplinary vision of biological engineering. To familiarize the students

4. Biology for Computer Engineers – BBOC407 Course Outcomes: Bloom’s Taxonomy At the end of the course, student should be able to . . . Blooms’ Level CO1: Elucidate the basic biological concepts via relevant industrial applications and case studies. L3 CO2: Evaluate the principles of design and development, for exploring novel bioengineering projects. L3 CO3: Corroborate the concepts of biomimetics for specific requirements. L3 CO4: Think critically towards exploring innovative biobased solutions for socially relevant problems. L3 L1 L2 L3 L4 L5 L6 Remembering Understanding Applying Analyzing Evaluating Creating

5. Program Outcomes Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations. Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations. The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice

6. Program Outcomes Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

7. Program Specific Outcomes Model computational problems by applying mathematical concepts and design solutions using suitable data structures & algorithmic techniques Demonstrate basic knowledge of computer science in efficient design of problem solutions of varying complexity Create career path to become a successful computer science professional, entrepreneur and relish for higher studies.

8. Course Content(Syllabus) Module 1 Cell Basic Unit of Life Introduction. Structure and functions of a cell. Stem cells and their application. Biomolecules: Properties and functions of Carbohydrates, Nucleic acids, proteins, lipids. Importance of special biomolecules: Properties and functions of enzymes, vitamins and hormones. Module 2 Application of Biomolecules Carbohydrates in cellulose-based water filters production, PHA and PLA in bioplastics production, Nucleic acids in vaccines and diagnosis, Proteins in food production, lipids in biodiesel and detergents production, Enzymes in biosensors fabrication, food processing, detergent formulation and textile processing. Module 3 Adaptation of Anatomical Principles for Bioengineering Design Brain as a CPU system. Eye as a Camera system. Heart as a pump system. Lungs as purification system. Kidney as a filtration system.

9. Course Content(Syllabus) Module 4 Nature-Bioinspired Materials and Mechanisms: Echolocation, Photosynthesis. Bird flying, Lotus leaf effect, Plant burrs, Shark skin, Kingfisher beak. Human Blood substitutes - haemoglobin-based oxygen carriers (HBOCs) and perfluorocarbons (PFCs). Module 5 Trends in Bioengineering: Muscular and Skeletal Systems as scaffolds, scaffolds and tissue engineering, Bioprinting techniques and materials. Electrical tongue and electrical nose in food science, DNA origami and Biocomputing, Bioimaging and Artificial Intelligence for disease diagnosis. Bio concrete. Bioremediation. Biomining.

10. Assessment Schedule S.N. Assessment Type Content CO Duration Marks Date  1. CIE Test - 1 Module 1, 2 All 90 Mins 25 05/06/2024  2. CIE Test - 2 Module 3, 4 All 90 Mins 25 03/07/2024  3. CIE Test - 3 Module 4, 5 All 90 Mins 25 02/08/2024  4. Activity / Project 100% All   25 05/08/2024  5. Semester End Examination 100% All 3 Hours 100 TBA

11. Textbooks: Biology for Engineers , Rajendra Singh C and Rathnakar Rao N, Rajendra Singh C and Rathnakar Rao N Publishing, Bengaluru, 2023. Human Physiology , Stuart Fox, Krista Rompolski , McGraw-Hill eBook. 16th Edition, 2022 Biology for Engineers , Thyagarajan S., Selvamurugan N., Rajesh M.P., Nazeer R.A., Thilagaraj W., Barathi S., and Jaganthan M.K., Tata McGraw-Hill, New Delhi, 2012. Biology for Engineers , Arthur T. Johnson, CRC Press, Taylor and Francis, 2011 Biomedical Instrumentation , Leslie Cromwell, Prentice Hall 2011. Biology for Engineers , Sohini Singh and Tanu Allen, Vayu Education of India, New Delhi, 2014. Biomimetics: Nature-Based Innovation, Yoseph Bar-Cohen, 1st edition, 2012, CRC Press. Bio-Inspired Artificial Intelligence: Theories, Methods and Technologies, D. Floreano and C. Mattiussi, MIT Press, 2008. Bioremediation of heavy metals: bacterial participation, by C R Sunilkumar , N GeethaA C Udayashankar Lambert Academic Publishing, 2019. 3D Bioprinting: Fundamentals, Principles and Applications by Ibrahim Ozbolat , Academic Press, 2016. Electronic Noses and Tongues in Food Science , Maria Rodriguez Mende, Academic Press, 2016

12. e-Resources: https://nptel.ac.in/courses/121106008 https://freevideolectures.com/course/4877/nptel-biology-engineers-other-non-biologists https://ocw.mit.edu/courses/20-020-introduction-to-biological-engineering-design-spring-2009 https://ocw.mit.edu/courses/20-010j-introduction-to-bioengineering-be-010j-spring-2006 https://www.coursera.org/courses?query=biology https://onlinecourses.nptel.ac.in/noc19_ge31/preview https://www.classcentral.com/subject/biology https://www.futurelearn.com/courses/biology-basic-concepts

13. Activity Based Learning Group Discussion of Case studies Model Making and seminar/poster presentations Design of novel device/equipment like Cellulose-based water filters, Filtration system

14. Introduction Explain why computer engineers should have a basic understanding of biology and how it can benefit their work. Understand the fundamental concepts of biology relevant to computer engineering. Appreciate the interdisciplinary nature of biological and computational sciences. Recognize the potential applications of biological principles in technology.

15. What is Biology? Definition of Biology "Biology is the scientific study of life and living organisms. It encompasses a wide range of topics, from the structure and function of cells to the interactions between organisms and their environment." Importance for Computer Engineers “Bioinformatics, computational biology, and biocomputing” Interdisciplinary Collaboration "Biological data analysis, genetic algorithms, and neural networks, personalized medicine, biomedical devices, and artificial intelligence systems."

16. Basic Concepts Characteristics of Living Organisms. The Cell Theory. Hierarchical Organization.

17. Biochemistry Primer DNA Structure and Function. Protein Synthesis.

18. Biochemistry Primer Metabolism. Enzymes.

19. Genetics and Molecular Biology DNA Replication. Transcription. DNA Replication DNA Replication - 2 DNA Transcription DNA Transcription - 2

20. Genetics and Molecular Biology Translation. Inheritance and Genetic Variation. DNA Translation DNA Translation - 2 Inheritance and Variations Inheritance & Variations - 2

21. Cell Biology Structure & Functions of Cell. Organelles and Their Roles.

22. Cell Biology Cell Division and Cell Cycle.

23. Biotechnology and Computational Biology

24. Biotechnology and Computational Biology 1. Bioinformatics 2. Systems Biology 3. Data Analysis 4. Genome Sequencing 5. Molecular Modelling 6. Simulation & Prediction 7. Systems Biology 8. Drug Discovery 9. Evolutionary Biology & Phylogenetics 10. Environmental Modelling 11. Personalized Medicine 12. Data Storage & Management

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