Course Outcomes (CO): Detailed Syllabus Page 42 of 241 Academic Level 100 – 199 Course Details Credit Lecture per week Tutorial per week Practical per week Total Hours 4 4 - - 60 Pre-requisites 1. A strong foundation in algebra 2.
Fundamentals of Set theory and logic Course Summary The course on probability and statistics covers fundamental topics including descriptive statistics (measures of central tendency and dispersion), probability theory (events, sample spaces, probability laws, random variables, and distributions), inferential statistics (regression analysis), and applications in various fields such as science, engineering, economics, and social sciences, emphasizing critical thinking, data analysis, and problem-solving skills.
CO CO Statement Cognitive Level* Knowledge Category# Evaluation Tools used CO1 Apply fundamental statistics concepts Ap C Quizzes, Homework, Exams CO2 Analyze data using descriptive statistics An P Projects, Midterm, Exams CO3 Perform regression analysis An P Projects, Exams CO4 Apply probability and statistics in real-world situations Ap C Projects, Exams CO5 Develop critical thinking and problem-solving skills E M Homework, Projects CO6 Communicate statistical findings effectively E M Presentations, Reports * - Remember (R), Understand (U), Apply (Ap), Analyse (An), Evaluate (E), Create (C) # - Factual Knowledge(F) Conceptual Knowledge (C) Procedural Knowledge (P) Metacognitive Knowledge (M) Module Unit Content Hrs (48+12) Mark I DESCRIPTIVE STATISTICS 10 15 1 Concept of primary and secondary data, Methods of collection 2