J Naga jyoshna Assistant Professor GRIET Course Objectives

J. Naga jyoshna Assistant Professor GRIET

Course Objectives • To understand the fundamentals of probability. • To understand the principles of random signals and random processes. • To be acquainted with systems involving random signals, Noise concepts and data coding. • To know random phenomena which occur in engineering applications.

Course Outline • Unit-I: Probability& Random variables • Unit-II: Operations on single variable – Expectations • Unit-III: Operations on multiple random variables– Expectations • Unit-IV: Random Process -Temporal characteristics • Unit-V: Random Process-Spectral characteristics & Noise

Assessment Strategy 1. TARGET: a) Percentage for pass: b) Percentage of class: 50% 85% 2. COURSE PLAN & CONTENT DELIVERY • All the topics of this course covered by delivering lectures through PPTs and class room lectures and given exercises, assignments to the students. 3. METHOD OF EVALUATION Continuous Assessment Examinations (CAE-I, CAE-II) Assessment (CAE-I, CAE-II) Descriptive questions Topic relevance 50% Diagrams with labels 20% Accuracy 30% Objective questions ----100% 4. ASSIGNMENTS Assessment plan for Assignments: Content Problem description Implementation Diagrams/Scripts 4. 1 Mini Project 4. 2 Quiz 5. SEMESTER/END EXAM • • • Content Topic description Writing Diagrams/Scripts Weight age 20% 70% 10% Assessment plan for Slip Tests: Content Analysis Writing Diagrams/Scripts Weight age 10% 80% 10%