
- Teacher: Sinu K K
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Course Number: 20Contact Hours per Week: 4TNumber of Credits: 4Number of Contact Hours: 64 Hrs.Course Evaluation: Internal – 20 Marks + External – 80 Marks Objective • To understand internals of Microprocessor.• To learn architecture of 8085 Microprocessor• To learn instruction set of 8085 Microprocessor• To learn how to program a Microprocessor Prerequisites • Basic knowledge of Computer
THIS COURSE EQUIPS LEARNERS WITH DIVERSE STRATEGIES FOR TEACHING ENGLISH LITERATURE LANGUAGE EFFECTIVELY, FOSTERING A LEARNER - CENTERED ENVIRONMENT THROUGH PEER OBSERVATIONS AND LESSON PLAN REVIEWS. VERBAL AND NON-VERBAL COMMUNICATION SKILLS ARE IMPROVED THROUGH ACTIVITIES SUCH AS EVALUATING PRESENTATIONS AND ROLE-PLAY, UTILIZING COOPERATIVE LEARNING STRUCTURES FOR ENHANCED TEAMWORK AND INTERACTION
This coruse is ensure the communication skill enhancement through reading writing listening and discussion on various literary forms.
This course provides a foundation in understanding how nutrition impacts overall health and well-being
Understand the basic ideas in static and current electricity. understand the concept of magnetism. describe the fundamental concept of nuclear physics understand the basic ideas of cosmic rays and elementary particles.
This course provides an in-depth understanding of the chemical composition of food, its biochemical changes, and the principles of analytical techniques used to assess food quality, safety, and composition. It covers fundamental food chemistry concepts along with modern analytical methods used in food analysis.
Objective • To learn the basics of Computer Graphics. Prerequisites • Basic knowledge in Mathematics and Computer fundamentals.
The main objective of this course to provide knowledge and experience to manufacture safety and high quality dairy products
This Spreadsheet Modelling for Business course provides acomprehensive overview and hands-on experience in utilizing MicrosoftExcel for effective business decision-making. The course provides acompetitive edge by fostering practical application, making it aninvaluable resource for professional development in today's data-drivenbusiness landscape.
This course offers a comprehensive exploration of fundamentalprinciples and advanced applications in business analytics. Beginningwith the basics of probability, covering random experiments and samplespaces, the course progresses to delve into theoretical distributions,sampling methods, and estimation techniques. It places a strongemphasis on understanding various probability distributions and theirpractical implications in real-world scenarios. Overall, the course isdesigned to equip participants with a robust foundation in businessanalytics, fostering their ability to interpret and leverage data forinformed decision-making in diverse professional environments.
To familiarize the students with the concept of entrepreneurship. To identify and develop the entrepreneurial talents of the students. To generate innovative business ideas in the emerging industrial scenario